2025-08-26T19:42:57.1392612Z Current runner version: '2.328.0' 2025-08-26T19:42:57.1398819Z Runner name: 'i-003c9750a81c1c7a9' 2025-08-26T19:42:57.1399703Z Runner group name: 'Default' 2025-08-26T19:42:57.1400577Z Machine name: 'ip-10-1-2-235' 2025-08-26T19:42:57.1403567Z ##[group]GITHUB_TOKEN Permissions 2025-08-26T19:42:57.1405813Z Contents: read 2025-08-26T19:42:57.1406401Z Metadata: read 2025-08-26T19:42:57.1406970Z ##[endgroup] 2025-08-26T19:42:57.1409222Z Secret source: Actions 2025-08-26T19:42:57.1410013Z Prepare workflow directory 2025-08-26T19:42:57.1964902Z Prepare all required actions 2025-08-26T19:42:57.2005559Z Getting action download info 2025-08-26T19:42:57.4970005Z Download action repository 'pytorch/test-infra@main' (SHA:0192d56cb596bb73b125bd368553908cc5c513f0) 2025-08-26T19:42:59.3906326Z Download action repository 'pytorch/pytorch@main' (SHA:77bc959fe122bfd131e339ca36cab445a1860806) 2025-08-26T19:43:12.9393909Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-26T19:43:13.3637977Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-26T19:43:13.6225331Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-26T19:43:13.7891680Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-26T19:43:14.0953757Z Getting action download info 2025-08-26T19:43:14.2145896Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-26T19:43:14.4815489Z Getting action download info 2025-08-26T19:43:14.6243979Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-26T19:43:14.8423314Z Getting action download info 2025-08-26T19:43:14.9449676Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-26T19:43:15.1641420Z Getting action download info 2025-08-26T19:43:15.3359894Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (262640fd220236042fbf4443cc163c8838c84c3d) 2025-08-26T19:43:15.3364157Z ##[group] Inputs 2025-08-26T19:43:15.3364559Z build-environment: linux-jammy-py3.13-clang12 2025-08-26T19:43:15.3367766Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]} 2025-08-26T19:43:15.3386409Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:43:15.3387356Z sync-tag: 2025-08-26T19:43:15.3388302Z timeout-minutes: 240 2025-08-26T19:43:15.3388571Z use-gha: 2025-08-26T19:43:15.3388799Z dashboard-tag: 2025-08-26T19:43:15.3389033Z s3-bucket: gha-artifacts 2025-08-26T19:43:15.3389304Z aws-role-to-assume: 2025-08-26T19:43:15.3389899Z disable-monitor: false 2025-08-26T19:43:15.3390492Z monitor-log-interval: 5 2025-08-26T19:43:15.3390904Z monitor-data-collect-interval: 1 2025-08-26T19:43:15.3391239Z ##[endgroup] 2025-08-26T19:43:15.3391662Z Complete job name: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge) 2025-08-26T19:43:15.3881983Z A job started hook has been configured by the self-hosted runner administrator 2025-08-26T19:43:15.3987393Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-26T19:43:15.3996587Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:43:15.3997273Z ##[endgroup] 2025-08-26T19:43:16.6033162Z Runner Type: lf.linux.2xlarge 2025-08-26T19:43:16.6033651Z Instance Type: c5.2xlarge 2025-08-26T19:43:16.6033940Z AMI Name: unknown 2025-08-26T19:43:16.6059860Z AMI ID: ami-05ffe3c48a9991133 2025-08-26T19:43:21.9720452Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-26T19:43:21.9720931Z with: 2025-08-26T19:43:21.9721523Z github-secret: *** 2025-08-26T19:43:21.9722275Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-26T19:43:21.9723107Z activate-with-label: false 2025-08-26T19:43:21.9723391Z label: with-ssh 2025-08-26T19:43:21.9723654Z remove-existing-keys: true 2025-08-26T19:43:21.9723952Z fail-silently: true 2025-08-26T19:43:21.9724225Z env: 2025-08-26T19:43:21.9724439Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:43:21.9724723Z ##[endgroup] 2025-08-26T19:43:22.0876663Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-26T19:43:22.0878510Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-26T19:43:22.1037600Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-26T19:43:22.1038071Z with: 2025-08-26T19:43:22.1038290Z no-sudo: true 2025-08-26T19:43:22.1038543Z submodules: recursive 2025-08-26T19:43:22.1038824Z fetch-depth: 0 2025-08-26T19:43:22.1039051Z env: 2025-08-26T19:43:22.1039294Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:43:22.1039568Z ##[endgroup] 2025-08-26T19:43:22.1126556Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T19:43:22.1127577Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T19:43:22.1135502Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:43:22.1135909Z env: 2025-08-26T19:43:22.1136164Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:43:22.1136489Z ##[endgroup] 2025-08-26T19:43:22.1225413Z ##[group]Run # Use all available CPUs for fetching 2025-08-26T19:43:22.1225880Z # Use all available CPUs for fetching 2025-08-26T19:43:22.1226259Z cd "${GITHUB_WORKSPACE}" 2025-08-26T19:43:22.1226606Z git config --global fetch.parallel 0 2025-08-26T19:43:22.1227020Z git config --global submodule.fetchJobs 0 2025-08-26T19:43:22.1227402Z  2025-08-26T19:43:22.1227858Z # Clean workspace. The default checkout action should also do this, but 2025-08-26T19:43:22.1228380Z # do it here as well just in case 2025-08-26T19:43:22.1228709Z if [[ -d .git ]]; then 2025-08-26T19:43:22.1229019Z  if [ -z "${NO_SUDO}" ]; then 2025-08-26T19:43:22.1229352Z  sudo git clean -ffdx 2025-08-26T19:43:22.1229649Z  else 2025-08-26T19:43:22.1229884Z  git clean -ffdx 2025-08-26T19:43:22.1230169Z  fi 2025-08-26T19:43:22.1230394Z fi 2025-08-26T19:43:22.1236705Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:43:22.1237099Z env: 2025-08-26T19:43:22.1237333Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:43:22.1237611Z NO_SUDO: true 2025-08-26T19:43:22.1237848Z ##[endgroup] 2025-08-26T19:43:22.1404172Z ##[group]Run actions/checkout@v4 2025-08-26T19:43:22.1404497Z with: 2025-08-26T19:43:22.1404762Z ref: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:43:22.1405299Z fetch-depth: 0 2025-08-26T19:43:22.1405556Z submodules: recursive 2025-08-26T19:43:22.1405820Z show-progress: false 2025-08-26T19:43:22.1406106Z repository: pytorch/pytorch 2025-08-26T19:43:22.1406585Z token: *** 2025-08-26T19:43:22.1406820Z ssh-strict: true 2025-08-26T19:43:22.1407056Z ssh-user: git 2025-08-26T19:43:22.1407310Z persist-credentials: true 2025-08-26T19:43:22.1407590Z clean: true 2025-08-26T19:43:22.1407849Z sparse-checkout-cone-mode: true 2025-08-26T19:43:22.1408150Z fetch-tags: false 2025-08-26T19:43:22.1408396Z lfs: false 2025-08-26T19:43:22.1408634Z set-safe-directory: true 2025-08-26T19:43:22.1408916Z env: 2025-08-26T19:43:22.1409128Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:43:22.1409399Z ##[endgroup] 2025-08-26T19:43:22.2542965Z Syncing repository: pytorch/pytorch 2025-08-26T19:43:22.2544407Z ##[group]Getting Git version info 2025-08-26T19:43:22.2544925Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-26T19:43:22.2545659Z [command]/usr/bin/git version 2025-08-26T19:43:22.2545969Z git version 2.47.1 2025-08-26T19:43:22.2557978Z ##[endgroup] 2025-08-26T19:43:22.2567146Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/aaacd656-24cc-4e44-b50f-9d82a074a150/.gitconfig' 2025-08-26T19:43:22.2586663Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/aaacd656-24cc-4e44-b50f-9d82a074a150' before making global git config changes 2025-08-26T19:43:22.2587747Z Adding repository directory to the temporary git global config as a safe directory 2025-08-26T19:43:22.2591779Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T19:43:22.2623580Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-26T19:43:22.2626591Z ##[group]Initializing the repository 2025-08-26T19:43:22.2630533Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T19:43:22.2659950Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-26T19:43:22.2660654Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-26T19:43:22.2661256Z hint: of your new repositories, which will suppress this warning, call: 2025-08-26T19:43:22.2661707Z hint: 2025-08-26T19:43:22.2662024Z hint: git config --global init.defaultBranch 2025-08-26T19:43:22.2662393Z hint: 2025-08-26T19:43:22.2662747Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-26T19:43:22.2663346Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-26T19:43:22.2663810Z hint: 2025-08-26T19:43:22.2664064Z hint: git branch -m 2025-08-26T19:43:22.2664592Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-26T19:43:22.2669267Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-26T19:43:22.2693032Z ##[endgroup] 2025-08-26T19:43:22.2693504Z ##[group]Disabling automatic garbage collection 2025-08-26T19:43:22.2696621Z [command]/usr/bin/git config --local gc.auto 0 2025-08-26T19:43:22.2719209Z ##[endgroup] 2025-08-26T19:43:22.2719623Z ##[group]Setting up auth 2025-08-26T19:43:22.2725346Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-26T19:43:22.2749405Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-08-26T19:43:22.3019489Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-26T19:43:22.3044540Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-08-26T19:43:22.3292711Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-26T19:43:22.3333795Z ##[endgroup] 2025-08-26T19:43:22.3340945Z ##[group]Fetching the repository 2025-08-26T19:43:22.3341839Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-26T19:44:15.6874155Z From https://github.com/pytorch/pytorch 2025-08-26T19:44:15.6874664Z * [new branch] 160583 -> origin/160583 2025-08-26T19:44:15.6875254Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-26T19:44:15.6875812Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-26T19:44:15.6876479Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-26T19:44:15.6877823Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-26T19:44:15.6879139Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-08-26T19:44:15.6881243Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-26T19:44:15.6882817Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-26T19:44:15.6884308Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-26T19:44:15.6885480Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-26T19:44:15.6887878Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-26T19:44:15.6888544Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-26T19:44:15.6889708Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-26T19:44:15.6891009Z * [new branch] VLA_exp -> origin/VLA_exp 2025-08-26T19:44:15.6892522Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-26T19:44:15.6894070Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-26T19:44:15.6895455Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-26T19:44:15.6896846Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-08-26T19:44:15.6898193Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-26T19:44:15.6899589Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-26T19:44:15.6900985Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-26T19:44:15.6902373Z * [new branch] addsimde -> origin/addsimde 2025-08-26T19:44:15.6904140Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-26T19:44:15.6905498Z * [new branch] adi/test -> origin/adi/test 2025-08-26T19:44:15.6906802Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-26T19:44:15.6908150Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-26T19:44:15.6909496Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-26T19:44:15.6910861Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-26T19:44:15.6912304Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-26T19:44:15.6913929Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-26T19:44:15.6916211Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-26T19:44:15.6917387Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-26T19:44:15.6918705Z * [new branch] alt-disable -> origin/alt-disable 2025-08-26T19:44:15.6920722Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-26T19:44:15.6921915Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-26T19:44:15.6923448Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-26T19:44:15.6924554Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-26T19:44:15.6926013Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-26T19:44:15.6927617Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-26T19:44:15.6929134Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-26T19:44:15.6930853Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-26T19:44:15.6932230Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-26T19:44:15.6933846Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-08-26T19:44:15.6935230Z * [new branch] angelayi/logging.bak -> origin/angelayi/logging.bak 2025-08-26T19:44:15.6936584Z * [new branch] angelayi/logging2 -> origin/angelayi/logging2 2025-08-26T19:44:15.6938054Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-08-26T19:44:15.6939457Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-08-26T19:44:15.6940775Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-08-26T19:44:15.6942120Z * [new branch] angelayi/save_error -> origin/angelayi/save_error 2025-08-26T19:44:15.6943478Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-08-26T19:44:15.6944843Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-08-26T19:44:15.6946246Z * [new branch] angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta 2025-08-26T19:44:15.6947439Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 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2025-08-26T19:44:16.3040855Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-08-26T19:44:16.3042671Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-08-26T19:44:16.3043703Z * [new branch] xmfan/issue_123374 -> origin/xmfan/issue_123374 2025-08-26T19:44:16.3045926Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-08-26T19:44:16.3047139Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-08-26T19:44:16.3048189Z * [new branch] xmfan/segfault_test -> origin/xmfan/segfault_test 2025-08-26T19:44:16.3050420Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-08-26T19:44:16.3051509Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-08-26T19:44:16.3053447Z * [new branch] xmfan/test -> origin/xmfan/test 2025-08-26T19:44:16.3056160Z * 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2025-08-26T19:44:16.3071747Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-08-26T19:44:16.3072744Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-08-26T19:44:16.3074758Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-08-26T19:44:16.3075761Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-08-26T19:44:16.3077429Z * [new branch] zainr/uv-pip-fix -> origin/zainr/uv-pip-fix 2025-08-26T19:44:16.3079310Z * [new branch] zainr/vs-aarch64 -> origin/zainr/vs-aarch64 2025-08-26T19:44:16.3081094Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-08-26T19:44:16.3082581Z * [new branch] zb2p -> origin/zb2p 2025-08-26T19:44:16.3084566Z * [new branch] zdevito-patch-1 -> origin/zdevito-patch-1 2025-08-26T19:44:16.3086335Z * [new branch] zero_grad_optimization -> origin/zero_grad_optimization 2025-08-26T19:44:16.3087763Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-08-26T19:44:16.3090079Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-08-26T19:44:16.3092080Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-08-26T19:44:16.3094137Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-08-26T19:44:16.3095450Z * [new branch] zxiiro/test -> origin/zxiiro/test 2025-08-26T19:44:16.3097446Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-08-26T19:44:16.3098158Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-08-26T19:44:16.3099933Z * [new tag] ciflow/binaries/153920 -> ciflow/binaries/153920 2025-08-26T19:44:16.3100561Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-26T19:44:16.3102038Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-08-26T19:44:16.3102943Z * [new tag] ciflow/binaries/160853 -> ciflow/binaries/160853 2025-08-26T19:44:16.3104328Z * [new tag] ciflow/binaries/161257 -> ciflow/binaries/161257 2025-08-26T19:44:16.3105490Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-26T19:44:16.3106606Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-26T19:44:16.3107819Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-26T19:44:16.3109160Z * [new tag] ciflow/binaries_wheel/160207 -> ciflow/binaries_wheel/160207 2025-08-26T19:44:16.3110675Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-26T19:44:16.3111424Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-26T19:44:16.3112448Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-26T19:44:16.3113870Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-26T19:44:16.3114801Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-26T19:44:16.3115768Z * [new tag] ciflow/h100-symm-mem/160825 -> ciflow/h100-symm-mem/160825 2025-08-26T19:44:16.3116742Z * [new tag] ciflow/h100-symm-mem/161008 -> ciflow/h100-symm-mem/161008 2025-08-26T19:44:16.3117719Z * [new tag] ciflow/h100-symm-mem/161090 -> ciflow/h100-symm-mem/161090 2025-08-26T19:44:16.3118656Z * [new tag] ciflow/h100-symm-mem/161214 -> ciflow/h100-symm-mem/161214 2025-08-26T19:44:16.3119640Z * [new tag] ciflow/h100-symm-mem/161217 -> ciflow/h100-symm-mem/161217 2025-08-26T19:44:16.3120609Z * [new tag] ciflow/h100-symm-mem/161232 -> ciflow/h100-symm-mem/161232 2025-08-26T19:44:16.3122425Z * [new tag] ciflow/h100-symm-mem/161257 -> ciflow/h100-symm-mem/161257 2025-08-26T19:44:16.3123409Z * [new tag] ciflow/h100-symm-mem/161309 -> ciflow/h100-symm-mem/161309 2025-08-26T19:44:16.3124806Z * [new tag] ciflow/h100-symm-mem/161470 -> ciflow/h100-symm-mem/161470 2025-08-26T19:44:16.3125718Z * [new tag] ciflow/h100-symm-mem/161471 -> ciflow/h100-symm-mem/161471 2025-08-26T19:44:16.3126854Z * [new tag] ciflow/h100-symm-mem/161532 -> ciflow/h100-symm-mem/161532 2025-08-26T19:44:16.3128633Z * [new tag] ciflow/h100-symm-mem/161533 -> ciflow/h100-symm-mem/161533 2025-08-26T19:44:16.3129503Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-26T19:44:16.3130465Z * [new tag] ciflow/h100/161225 -> ciflow/h100/161225 2025-08-26T19:44:16.3132272Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-26T19:44:16.3133241Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/161512 -> ciflow/inductor-perf-test-nightly-x86-zen/161512 2025-08-26T19:44:16.3135345Z * [new tag] ciflow/inductor-periodic/158137 -> ciflow/inductor-periodic/158137 2025-08-26T19:44:16.3136033Z * [new tag] ciflow/inductor-periodic/160807 -> ciflow/inductor-periodic/160807 2025-08-26T19:44:16.3137054Z * [new tag] ciflow/inductor-periodic/161461 -> ciflow/inductor-periodic/161461 2025-08-26T19:44:16.3138734Z * [new tag] ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 2025-08-26T19:44:16.3140331Z * [new tag] ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed -> ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed 2025-08-26T19:44:16.3142021Z * [new tag] ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073 -> ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073 2025-08-26T19:44:16.3142400Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-26T19:44:16.3143155Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-26T19:44:16.3144545Z * [new tag] ciflow/inductor-rocm/160671 -> ciflow/inductor-rocm/160671 2025-08-26T19:44:16.3146059Z * [new tag] ciflow/inductor-rocm/161180 -> ciflow/inductor-rocm/161180 2025-08-26T19:44:16.3146642Z * [new tag] ciflow/inductor-rocm/161225 -> ciflow/inductor-rocm/161225 2025-08-26T19:44:16.3147956Z * [new tag] ciflow/inductor-rocm/161521 -> ciflow/inductor-rocm/161521 2025-08-26T19:44:16.3149531Z * [new tag] ciflow/inductor-windows/160406 -> ciflow/inductor-windows/160406 2025-08-26T19:44:16.3150410Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-26T19:44:16.3151384Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-26T19:44:16.3152333Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-26T19:44:16.3153372Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-26T19:44:16.3154432Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-26T19:44:16.3155543Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-26T19:44:16.3156533Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-26T19:44:16.3157459Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-26T19:44:16.3158443Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-26T19:44:16.3159379Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-26T19:44:16.3160506Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-26T19:44:16.3161933Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-26T19:44:16.3163180Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-26T19:44:16.3164559Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-26T19:44:16.3166024Z * [new tag] ciflow/inductor/156875 -> ciflow/inductor/156875 2025-08-26T19:44:16.3167044Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-26T19:44:16.3168106Z * [new tag] ciflow/inductor/157298 -> ciflow/inductor/157298 2025-08-26T19:44:16.3169095Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-26T19:44:16.3170090Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-26T19:44:16.3171481Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-26T19:44:16.3172343Z * [new tag] ciflow/inductor/157767 -> ciflow/inductor/157767 2025-08-26T19:44:16.3173354Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-26T19:44:16.3174382Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-26T19:44:16.3175407Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-26T19:44:16.3176459Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-26T19:44:16.3177515Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-26T19:44:16.3179277Z * [new tag] ciflow/inductor/158137 -> ciflow/inductor/158137 2025-08-26T19:44:16.3180037Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-26T19:44:16.3181086Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-26T19:44:16.3182527Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-26T19:44:16.3183410Z * [new tag] ciflow/inductor/159003 -> ciflow/inductor/159003 2025-08-26T19:44:16.3184408Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-26T19:44:16.3185947Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-26T19:44:16.3186820Z * [new tag] ciflow/inductor/159387 -> ciflow/inductor/159387 2025-08-26T19:44:16.3188159Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-26T19:44:16.3189044Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-08-26T19:44:16.3190495Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-26T19:44:16.3191380Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-08-26T19:44:16.3192350Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-26T19:44:16.3193869Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-26T19:44:16.3195190Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-26T19:44:16.3196128Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-26T19:44:16.3197591Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-26T19:44:16.3198460Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-26T19:44:16.3199850Z * [new tag] ciflow/inductor/160180 -> ciflow/inductor/160180 2025-08-26T19:44:16.3201112Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-26T19:44:16.3202353Z * [new tag] ciflow/inductor/160258 -> ciflow/inductor/160258 2025-08-26T19:44:16.3203472Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-26T19:44:16.3204578Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-26T19:44:16.3205944Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-26T19:44:16.3207465Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-26T19:44:16.3208588Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-26T19:44:16.3209781Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-26T19:44:16.3211187Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-26T19:44:16.3212068Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-26T19:44:16.3213480Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-26T19:44:16.3214643Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-26T19:44:16.3215667Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-26T19:44:16.3216719Z * [new tag] ciflow/inductor/160449 -> ciflow/inductor/160449 2025-08-26T19:44:16.3217762Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-26T19:44:16.3218801Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-26T19:44:16.3219837Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-26T19:44:16.3220832Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-26T19:44:16.3222454Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-08-26T19:44:16.3224491Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-26T19:44:16.3225351Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-26T19:44:16.3226365Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-26T19:44:16.3227455Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-26T19:44:16.3228452Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-26T19:44:16.3229519Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-26T19:44:16.3230569Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-26T19:44:16.3231880Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-26T19:44:16.3232821Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-08-26T19:44:16.3233931Z * [new tag] ciflow/inductor/160763 -> ciflow/inductor/160763 2025-08-26T19:44:16.3234987Z * [new tag] ciflow/inductor/160772 -> ciflow/inductor/160772 2025-08-26T19:44:16.3236405Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-08-26T19:44:16.3237307Z * [new tag] ciflow/inductor/160807 -> ciflow/inductor/160807 2025-08-26T19:44:16.3238600Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-08-26T19:44:16.3239521Z * [new tag] ciflow/inductor/160861 -> ciflow/inductor/160861 2025-08-26T19:44:16.3240870Z * [new tag] ciflow/inductor/160883 -> ciflow/inductor/160883 2025-08-26T19:44:16.3241758Z * [new tag] ciflow/inductor/160888 -> ciflow/inductor/160888 2025-08-26T19:44:16.3242825Z * [new tag] ciflow/inductor/160903 -> ciflow/inductor/160903 2025-08-26T19:44:16.3243856Z * [new tag] ciflow/inductor/160913 -> ciflow/inductor/160913 2025-08-26T19:44:16.3245046Z * [new tag] ciflow/inductor/160941 -> ciflow/inductor/160941 2025-08-26T19:44:16.3245932Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-08-26T19:44:16.3247017Z * [new tag] ciflow/inductor/160991 -> ciflow/inductor/160991 2025-08-26T19:44:16.3248630Z * [new tag] ciflow/inductor/160997 -> ciflow/inductor/160997 2025-08-26T19:44:16.3249494Z * [new tag] ciflow/inductor/161003 -> ciflow/inductor/161003 2025-08-26T19:44:16.3250508Z * [new tag] ciflow/inductor/161026 -> ciflow/inductor/161026 2025-08-26T19:44:16.3251565Z * [new tag] ciflow/inductor/161032 -> ciflow/inductor/161032 2025-08-26T19:44:16.3253620Z * [new tag] ciflow/inductor/161040 -> ciflow/inductor/161040 2025-08-26T19:44:16.3254360Z * [new tag] ciflow/inductor/161055 -> ciflow/inductor/161055 2025-08-26T19:44:16.3259579Z * [new tag] ciflow/inductor/161062 -> ciflow/inductor/161062 2025-08-26T19:44:16.3260283Z * [new tag] ciflow/inductor/161069 -> ciflow/inductor/161069 2025-08-26T19:44:16.3261583Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-08-26T19:44:16.3262505Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-08-26T19:44:16.3263600Z * [new tag] ciflow/inductor/161097 -> ciflow/inductor/161097 2025-08-26T19:44:16.3264623Z * [new tag] ciflow/inductor/161098 -> ciflow/inductor/161098 2025-08-26T19:44:16.3265696Z * [new tag] ciflow/inductor/161100 -> ciflow/inductor/161100 2025-08-26T19:44:16.3267135Z * [new tag] ciflow/inductor/161107 -> ciflow/inductor/161107 2025-08-26T19:44:16.3268597Z * [new tag] ciflow/inductor/161110 -> ciflow/inductor/161110 2025-08-26T19:44:16.3269453Z * [new tag] ciflow/inductor/161117 -> ciflow/inductor/161117 2025-08-26T19:44:16.3270478Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-08-26T19:44:16.3271529Z * [new tag] ciflow/inductor/161123 -> ciflow/inductor/161123 2025-08-26T19:44:16.3272604Z * [new tag] ciflow/inductor/161124 -> ciflow/inductor/161124 2025-08-26T19:44:16.3273730Z * [new tag] ciflow/inductor/161125 -> ciflow/inductor/161125 2025-08-26T19:44:16.3274797Z * [new tag] ciflow/inductor/161126 -> ciflow/inductor/161126 2025-08-26T19:44:16.3276278Z * [new tag] ciflow/inductor/161144 -> ciflow/inductor/161144 2025-08-26T19:44:16.3277326Z * [new tag] ciflow/inductor/161148 -> ciflow/inductor/161148 2025-08-26T19:44:16.3278398Z * [new tag] ciflow/inductor/161158 -> ciflow/inductor/161158 2025-08-26T19:44:16.3279883Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-08-26T19:44:16.3280905Z * [new tag] ciflow/inductor/161190 -> ciflow/inductor/161190 2025-08-26T19:44:16.3281930Z * [new tag] ciflow/inductor/161208 -> ciflow/inductor/161208 2025-08-26T19:44:16.3282970Z * [new tag] ciflow/inductor/161225 -> ciflow/inductor/161225 2025-08-26T19:44:16.3284395Z * [new tag] ciflow/inductor/161229 -> ciflow/inductor/161229 2025-08-26T19:44:16.3285417Z * [new tag] ciflow/inductor/161237 -> ciflow/inductor/161237 2025-08-26T19:44:16.3286479Z * [new tag] ciflow/inductor/161241 -> ciflow/inductor/161241 2025-08-26T19:44:16.3287844Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-08-26T19:44:16.3288957Z * [new tag] ciflow/inductor/161274 -> ciflow/inductor/161274 2025-08-26T19:44:16.3290625Z * [new tag] ciflow/inductor/161278 -> ciflow/inductor/161278 2025-08-26T19:44:16.3291513Z * [new tag] ciflow/inductor/161279 -> ciflow/inductor/161279 2025-08-26T19:44:16.3292571Z * [new tag] ciflow/inductor/161288 -> ciflow/inductor/161288 2025-08-26T19:44:16.3294111Z * [new tag] ciflow/inductor/161314 -> ciflow/inductor/161314 2025-08-26T19:44:16.3294897Z * [new tag] ciflow/inductor/161320 -> ciflow/inductor/161320 2025-08-26T19:44:16.3295976Z * [new tag] ciflow/inductor/161336 -> ciflow/inductor/161336 2025-08-26T19:44:16.3297011Z * [new tag] ciflow/inductor/161337 -> ciflow/inductor/161337 2025-08-26T19:44:16.3298045Z * [new tag] ciflow/inductor/161338 -> ciflow/inductor/161338 2025-08-26T19:44:16.3299113Z * [new tag] ciflow/inductor/161339 -> ciflow/inductor/161339 2025-08-26T19:44:16.3300135Z * [new tag] ciflow/inductor/161340 -> ciflow/inductor/161340 2025-08-26T19:44:16.3301215Z * [new tag] ciflow/inductor/161341 -> ciflow/inductor/161341 2025-08-26T19:44:16.3302237Z * [new tag] ciflow/inductor/161342 -> ciflow/inductor/161342 2025-08-26T19:44:16.3303320Z * [new tag] ciflow/inductor/161343 -> ciflow/inductor/161343 2025-08-26T19:44:16.3304362Z * [new tag] ciflow/inductor/161344 -> ciflow/inductor/161344 2025-08-26T19:44:16.3305415Z * [new tag] ciflow/inductor/161345 -> ciflow/inductor/161345 2025-08-26T19:44:16.3306504Z * [new tag] ciflow/inductor/161346 -> ciflow/inductor/161346 2025-08-26T19:44:16.3307495Z * [new tag] ciflow/inductor/161347 -> ciflow/inductor/161347 2025-08-26T19:44:16.3308530Z * [new tag] ciflow/inductor/161348 -> ciflow/inductor/161348 2025-08-26T19:44:16.3309604Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-08-26T19:44:16.3310761Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-08-26T19:44:16.3311762Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-08-26T19:44:16.3312822Z * [new tag] ciflow/inductor/161353 -> ciflow/inductor/161353 2025-08-26T19:44:16.3313929Z * [new tag] ciflow/inductor/161354 -> ciflow/inductor/161354 2025-08-26T19:44:16.3314969Z * [new tag] ciflow/inductor/161355 -> ciflow/inductor/161355 2025-08-26T19:44:16.3316425Z * [new tag] ciflow/inductor/161362 -> ciflow/inductor/161362 2025-08-26T19:44:16.3317153Z * [new tag] ciflow/inductor/161363 -> ciflow/inductor/161363 2025-08-26T19:44:16.3318221Z * [new tag] ciflow/inductor/161382 -> ciflow/inductor/161382 2025-08-26T19:44:16.3319294Z * [new tag] ciflow/inductor/161383 -> ciflow/inductor/161383 2025-08-26T19:44:16.3320324Z * [new tag] ciflow/inductor/161385 -> ciflow/inductor/161385 2025-08-26T19:44:16.3321328Z * [new tag] ciflow/inductor/161396 -> ciflow/inductor/161396 2025-08-26T19:44:16.3322841Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-08-26T19:44:16.3323670Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-08-26T19:44:16.3324741Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-08-26T19:44:16.3325740Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-08-26T19:44:16.3327248Z * [new tag] ciflow/inductor/161409 -> ciflow/inductor/161409 2025-08-26T19:44:16.3329189Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-08-26T19:44:16.3329956Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-08-26T19:44:16.3331108Z * [new tag] ciflow/inductor/161416 -> ciflow/inductor/161416 2025-08-26T19:44:16.3332044Z * [new tag] ciflow/inductor/161420 -> ciflow/inductor/161420 2025-08-26T19:44:16.3333090Z * [new tag] ciflow/inductor/161431 -> ciflow/inductor/161431 2025-08-26T19:44:16.3334118Z * [new tag] ciflow/inductor/161435 -> ciflow/inductor/161435 2025-08-26T19:44:16.3335645Z * [new tag] ciflow/inductor/161440 -> ciflow/inductor/161440 2025-08-26T19:44:16.3336455Z * [new tag] ciflow/inductor/161447 -> ciflow/inductor/161447 2025-08-26T19:44:16.3337510Z * [new tag] ciflow/inductor/161452 -> ciflow/inductor/161452 2025-08-26T19:44:16.3338798Z * [new tag] ciflow/inductor/161453 -> ciflow/inductor/161453 2025-08-26T19:44:16.3339739Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-08-26T19:44:16.3340783Z * [new tag] ciflow/inductor/161461 -> ciflow/inductor/161461 2025-08-26T19:44:16.3341827Z * [new tag] ciflow/inductor/161464 -> ciflow/inductor/161464 2025-08-26T19:44:16.3342850Z * [new tag] ciflow/inductor/161466 -> ciflow/inductor/161466 2025-08-26T19:44:16.3343894Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-08-26T19:44:16.3344961Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-08-26T19:44:16.3345996Z * [new tag] ciflow/inductor/161474 -> ciflow/inductor/161474 2025-08-26T19:44:16.3347033Z * [new tag] ciflow/inductor/161477 -> ciflow/inductor/161477 2025-08-26T19:44:16.3348574Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-08-26T19:44:16.3349380Z * [new tag] ciflow/inductor/161486 -> ciflow/inductor/161486 2025-08-26T19:44:16.3350402Z * [new tag] ciflow/inductor/161487 -> ciflow/inductor/161487 2025-08-26T19:44:16.3351920Z * [new tag] ciflow/inductor/161495 -> ciflow/inductor/161495 2025-08-26T19:44:16.3352937Z * [new tag] ciflow/inductor/161497 -> ciflow/inductor/161497 2025-08-26T19:44:16.3354153Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-08-26T19:44:16.3355310Z * [new tag] ciflow/inductor/161512 -> ciflow/inductor/161512 2025-08-26T19:44:16.3356367Z * [new tag] ciflow/inductor/161521 -> ciflow/inductor/161521 2025-08-26T19:44:16.3357409Z * [new tag] ciflow/inductor/161526 -> ciflow/inductor/161526 2025-08-26T19:44:16.3358415Z * [new tag] ciflow/inductor/161530 -> ciflow/inductor/161530 2025-08-26T19:44:16.3360107Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-26T19:44:16.3361062Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-26T19:44:16.3362477Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-26T19:44:16.3363628Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-26T19:44:16.3364645Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-26T19:44:16.3365551Z * [new tag] ciflow/linux-aarch64/160080 -> ciflow/linux-aarch64/160080 2025-08-26T19:44:16.3366833Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-26T19:44:16.3367708Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-26T19:44:16.3368690Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-26T19:44:16.3370004Z * [new tag] ciflow/mps/160839 -> ciflow/mps/160839 2025-08-26T19:44:16.3370811Z * [new tag] ciflow/mps/161511 -> ciflow/mps/161511 2025-08-26T19:44:16.3372443Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-26T19:44:16.3373498Z * [new tag] ciflow/periodic-rocm-mi300/161180 -> ciflow/periodic-rocm-mi300/161180 2025-08-26T19:44:16.3375183Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-26T19:44:16.3376745Z * [new tag] ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 2025-08-26T19:44:16.3377270Z * [new tag] ciflow/periodic/156491 -> ciflow/periodic/156491 2025-08-26T19:44:16.3378547Z * [new tag] ciflow/periodic/161013 -> ciflow/periodic/161013 2025-08-26T19:44:16.3379858Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-26T19:44:16.3380913Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-26T19:44:16.3382336Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-26T19:44:16.3383774Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-26T19:44:16.3385690Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-26T19:44:16.3387839Z * [new tag] ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 2025-08-26T19:44:16.3388665Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-26T19:44:16.3390178Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-26T19:44:16.3391240Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-26T19:44:16.3392766Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-26T19:44:16.3394373Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-26T19:44:16.3395773Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-26T19:44:16.3397052Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-26T19:44:16.3398052Z * [new tag] ciflow/rocm-mi300/161040 -> ciflow/rocm-mi300/161040 2025-08-26T19:44:16.3399038Z * [new tag] ciflow/rocm-mi300/161180 -> ciflow/rocm-mi300/161180 2025-08-26T19:44:16.3400086Z * [new tag] ciflow/rocm-mi300/161225 -> ciflow/rocm-mi300/161225 2025-08-26T19:44:16.3401444Z * [new tag] ciflow/rocm-mi300/161429 -> ciflow/rocm-mi300/161429 2025-08-26T19:44:16.3403113Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-26T19:44:16.3404101Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-26T19:44:16.3405059Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-26T19:44:16.3406386Z * [new tag] ciflow/rocm/152526 -> ciflow/rocm/152526 2025-08-26T19:44:16.3407245Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-26T19:44:16.3408620Z * [new tag] ciflow/rocm/158352 -> ciflow/rocm/158352 2025-08-26T19:44:16.3409429Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-26T19:44:16.3410406Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-26T19:44:16.3411330Z * [new tag] ciflow/rocm/160671 -> ciflow/rocm/160671 2025-08-26T19:44:16.3412989Z * [new tag] ciflow/rocm/160676 -> ciflow/rocm/160676 2025-08-26T19:44:16.3413645Z * [new tag] ciflow/rocm/161180 -> ciflow/rocm/161180 2025-08-26T19:44:16.3414656Z * [new tag] ciflow/rocm/161225 -> ciflow/rocm/161225 2025-08-26T19:44:16.3416586Z * [new tag] ciflow/rocm/161277 -> ciflow/rocm/161277 2025-08-26T19:44:16.3417528Z * [new tag] ciflow/rocm/161429 -> ciflow/rocm/161429 2025-08-26T19:44:16.3419202Z * [new tag] ciflow/rocm/161496 -> ciflow/rocm/161496 2025-08-26T19:44:16.3420501Z * [new tag] ciflow/s390/160893 -> ciflow/s390/160893 2025-08-26T19:44:16.3422121Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-26T19:44:16.3423013Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-26T19:44:16.3425257Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-26T19:44:16.3425621Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-26T19:44:16.3426580Z * [new tag] ciflow/slow/161182 -> ciflow/slow/161182 2025-08-26T19:44:16.3427646Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-08-26T19:44:16.3429622Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-26T19:44:16.3430605Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-26T19:44:16.3432417Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-26T19:44:16.3434578Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-26T19:44:16.3435219Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-26T19:44:16.3436763Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-26T19:44:16.3437790Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-26T19:44:16.3439144Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-26T19:44:16.3441301Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-26T19:44:16.3441663Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-26T19:44:16.3442854Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-26T19:44:16.3443957Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-26T19:44:16.3445606Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-26T19:44:16.3446466Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-26T19:44:16.3448830Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-26T19:44:16.3449253Z * [new tag] ciflow/torchbench/158137 -> ciflow/torchbench/158137 2025-08-26T19:44:16.3450245Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-26T19:44:16.3451165Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-26T19:44:16.3452573Z * [new tag] ciflow/trunk/153784 -> ciflow/trunk/153784 2025-08-26T19:44:16.3453364Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-26T19:44:16.3455213Z * [new tag] ciflow/trunk/156418 -> ciflow/trunk/156418 2025-08-26T19:44:16.3456854Z * [new tag] ciflow/trunk/157196 -> ciflow/trunk/157196 2025-08-26T19:44:16.3457585Z * [new tag] ciflow/trunk/157537 -> ciflow/trunk/157537 2025-08-26T19:44:16.3458612Z * [new tag] ciflow/trunk/157767 -> ciflow/trunk/157767 2025-08-26T19:44:16.3459568Z * [new tag] ciflow/trunk/157944 -> ciflow/trunk/157944 2025-08-26T19:44:16.3460755Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-26T19:44:16.3461540Z * [new tag] ciflow/trunk/158541 -> ciflow/trunk/158541 2025-08-26T19:44:16.3463223Z * [new tag] ciflow/trunk/158733 -> ciflow/trunk/158733 2025-08-26T19:44:16.3464716Z * [new tag] ciflow/trunk/158747 -> ciflow/trunk/158747 2025-08-26T19:44:16.3465805Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-26T19:44:16.3466866Z * [new tag] ciflow/trunk/159387 -> ciflow/trunk/159387 2025-08-26T19:44:16.3467890Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-26T19:44:16.3468915Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-08-26T19:44:16.3469930Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-26T19:44:16.3470963Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-26T19:44:16.3471979Z * [new tag] ciflow/trunk/160156 -> ciflow/trunk/160156 2025-08-26T19:44:16.3473026Z * [new tag] ciflow/trunk/160180 -> ciflow/trunk/160180 2025-08-26T19:44:16.3474104Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-26T19:44:16.3475165Z * [new tag] ciflow/trunk/160258 -> ciflow/trunk/160258 2025-08-26T19:44:16.3476202Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-26T19:44:16.3477204Z * [new tag] ciflow/trunk/160448 -> ciflow/trunk/160448 2025-08-26T19:44:16.3478289Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-26T19:44:16.3479286Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-26T19:44:16.3480318Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-08-26T19:44:16.3481383Z * [new tag] ciflow/trunk/160671 -> ciflow/trunk/160671 2025-08-26T19:44:16.3482415Z * [new tag] ciflow/trunk/160677 -> ciflow/trunk/160677 2025-08-26T19:44:16.3483756Z * [new tag] ciflow/trunk/160692 -> ciflow/trunk/160692 2025-08-26T19:44:16.3484707Z * [new tag] ciflow/trunk/160781 -> ciflow/trunk/160781 2025-08-26T19:44:16.3485699Z * [new tag] ciflow/trunk/160825 -> ciflow/trunk/160825 2025-08-26T19:44:16.3486777Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-08-26T19:44:16.3488355Z * [new tag] ciflow/trunk/160866 -> ciflow/trunk/160866 2025-08-26T19:44:16.3489252Z * [new tag] ciflow/trunk/160915 -> ciflow/trunk/160915 2025-08-26T19:44:16.3490607Z * [new tag] ciflow/trunk/160991 -> ciflow/trunk/160991 2025-08-26T19:44:16.3491588Z * [new tag] ciflow/trunk/160992 -> ciflow/trunk/160992 2025-08-26T19:44:16.3492640Z * [new tag] ciflow/trunk/161004 -> ciflow/trunk/161004 2025-08-26T19:44:16.3493653Z * [new tag] ciflow/trunk/161016 -> ciflow/trunk/161016 2025-08-26T19:44:16.3495122Z * [new tag] ciflow/trunk/161023 -> ciflow/trunk/161023 2025-08-26T19:44:16.3495959Z * [new tag] ciflow/trunk/161026 -> ciflow/trunk/161026 2025-08-26T19:44:16.3497037Z * [new tag] ciflow/trunk/161032 -> ciflow/trunk/161032 2025-08-26T19:44:16.3498351Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-08-26T19:44:16.3499312Z * [new tag] ciflow/trunk/161040 -> ciflow/trunk/161040 2025-08-26T19:44:16.3500670Z * [new tag] ciflow/trunk/161094 -> ciflow/trunk/161094 2025-08-26T19:44:16.3501555Z * [new tag] ciflow/trunk/161097 -> ciflow/trunk/161097 2025-08-26T19:44:16.3502722Z * [new tag] ciflow/trunk/161098 -> ciflow/trunk/161098 2025-08-26T19:44:16.3503606Z * [new tag] ciflow/trunk/161100 -> ciflow/trunk/161100 2025-08-26T19:44:16.3504679Z * [new tag] ciflow/trunk/161106 -> ciflow/trunk/161106 2025-08-26T19:44:16.3505697Z * [new tag] ciflow/trunk/161110 -> ciflow/trunk/161110 2025-08-26T19:44:16.3507228Z * [new tag] ciflow/trunk/161114 -> ciflow/trunk/161114 2025-08-26T19:44:16.3508080Z * [new tag] ciflow/trunk/161117 -> ciflow/trunk/161117 2025-08-26T19:44:16.3509090Z * [new tag] ciflow/trunk/161123 -> ciflow/trunk/161123 2025-08-26T19:44:16.3510117Z * [new tag] ciflow/trunk/161124 -> ciflow/trunk/161124 2025-08-26T19:44:16.3511172Z * [new tag] ciflow/trunk/161125 -> ciflow/trunk/161125 2025-08-26T19:44:16.3512215Z * [new tag] ciflow/trunk/161126 -> ciflow/trunk/161126 2025-08-26T19:44:16.3513796Z * [new tag] ciflow/trunk/161131 -> ciflow/trunk/161131 2025-08-26T19:44:16.3514836Z * [new tag] ciflow/trunk/161143 -> ciflow/trunk/161143 2025-08-26T19:44:16.3515859Z * [new tag] ciflow/trunk/161144 -> ciflow/trunk/161144 2025-08-26T19:44:16.3516929Z * [new tag] ciflow/trunk/161164 -> ciflow/trunk/161164 2025-08-26T19:44:16.3517911Z * [new tag] ciflow/trunk/161180 -> ciflow/trunk/161180 2025-08-26T19:44:16.3518959Z * [new tag] ciflow/trunk/161214 -> ciflow/trunk/161214 2025-08-26T19:44:16.3519979Z * [new tag] ciflow/trunk/161217 -> ciflow/trunk/161217 2025-08-26T19:44:16.3520986Z * [new tag] ciflow/trunk/161225 -> ciflow/trunk/161225 2025-08-26T19:44:16.3522045Z * [new tag] ciflow/trunk/161236 -> ciflow/trunk/161236 2025-08-26T19:44:16.3523053Z * [new tag] ciflow/trunk/161237 -> ciflow/trunk/161237 2025-08-26T19:44:16.3524095Z * [new tag] ciflow/trunk/161241 -> ciflow/trunk/161241 2025-08-26T19:44:16.3525592Z * [new tag] ciflow/trunk/161262 -> ciflow/trunk/161262 2025-08-26T19:44:16.3527875Z * [new tag] ciflow/trunk/161263 -> ciflow/trunk/161263 2025-08-26T19:44:16.3528625Z * [new tag] ciflow/trunk/161279 -> ciflow/trunk/161279 2025-08-26T19:44:16.3530190Z * [new tag] ciflow/trunk/161306 -> ciflow/trunk/161306 2025-08-26T19:44:16.3530972Z * [new tag] ciflow/trunk/161311 -> ciflow/trunk/161311 2025-08-26T19:44:16.3532288Z * [new tag] ciflow/trunk/161354 -> ciflow/trunk/161354 2025-08-26T19:44:16.3533144Z * [new tag] ciflow/trunk/161355 -> ciflow/trunk/161355 2025-08-26T19:44:16.3534178Z * [new tag] ciflow/trunk/161362 -> ciflow/trunk/161362 2025-08-26T19:44:16.3535247Z * [new tag] ciflow/trunk/161363 -> ciflow/trunk/161363 2025-08-26T19:44:16.3536649Z * [new tag] ciflow/trunk/161370 -> ciflow/trunk/161370 2025-08-26T19:44:16.3537499Z * [new tag] ciflow/trunk/161383 -> ciflow/trunk/161383 2025-08-26T19:44:16.3538496Z * [new tag] ciflow/trunk/161385 -> ciflow/trunk/161385 2025-08-26T19:44:16.3539906Z * [new tag] ciflow/trunk/161389 -> ciflow/trunk/161389 2025-08-26T19:44:16.3540750Z * [new tag] ciflow/trunk/161392 -> ciflow/trunk/161392 2025-08-26T19:44:16.3541807Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-08-26T19:44:16.3542810Z * [new tag] ciflow/trunk/161396 -> ciflow/trunk/161396 2025-08-26T19:44:16.3543848Z * [new tag] ciflow/trunk/161409 -> ciflow/trunk/161409 2025-08-26T19:44:16.3545075Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-08-26T19:44:16.3545977Z * [new tag] ciflow/trunk/161435 -> ciflow/trunk/161435 2025-08-26T19:44:16.3547486Z * [new tag] ciflow/trunk/161437 -> ciflow/trunk/161437 2025-08-26T19:44:16.3548568Z * [new tag] ciflow/trunk/161451 -> ciflow/trunk/161451 2025-08-26T19:44:16.3549653Z * [new tag] ciflow/trunk/161453 -> ciflow/trunk/161453 2025-08-26T19:44:16.3551017Z * [new tag] ciflow/trunk/161454 -> ciflow/trunk/161454 2025-08-26T19:44:16.3552118Z * [new tag] ciflow/trunk/161489 -> ciflow/trunk/161489 2025-08-26T19:44:16.3553613Z * [new tag] ciflow/trunk/161517 -> ciflow/trunk/161517 2025-08-26T19:44:16.3555541Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-26T19:44:16.3556310Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-26T19:44:16.3557263Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-26T19:44:16.3558243Z * [new tag] ciflow/win-arm64/160258 -> ciflow/win-arm64/160258 2025-08-26T19:44:16.3559792Z * [new tag] ciflow/win-arm64/161504 -> ciflow/win-arm64/161504 2025-08-26T19:44:16.3561224Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-26T19:44:16.3562028Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-26T19:44:16.3563011Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-26T19:44:16.3563979Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-26T19:44:16.3564941Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-26T19:44:16.3566365Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-26T19:44:16.3567355Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-08-26T19:44:16.3568628Z * [new tag] ciflow/xpu/161041 -> ciflow/xpu/161041 2025-08-26T19:44:16.3569742Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-08-26T19:44:16.3570685Z * [new tag] ciflow/xpu/161142 -> ciflow/xpu/161142 2025-08-26T19:44:16.3572158Z * [new tag] ciflow/xpu/161152 -> ciflow/xpu/161152 2025-08-26T19:44:16.3573523Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-08-26T19:44:16.3574944Z * [new tag] ciflow/xpu/161389 -> ciflow/xpu/161389 2025-08-26T19:44:16.3576198Z * [new tag] ciflow/xpu/161392 -> ciflow/xpu/161392 2025-08-26T19:44:16.3577102Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-08-26T19:44:16.3578211Z * [new tag] ciflow/xpu/161477 -> ciflow/xpu/161477 2025-08-26T19:44:16.3579161Z * [new tag] ciflow/xpu/161489 -> ciflow/xpu/161489 2025-08-26T19:44:16.3580598Z * [new tag] cslpull75 -> cslpull75 2025-08-26T19:44:16.3581938Z * [new tag] cslpull76 -> cslpull76 2025-08-26T19:44:16.3583007Z * [new tag] cslpull77 -> cslpull77 2025-08-26T19:44:16.3584429Z * [new tag] cslpull78 -> cslpull78 2025-08-26T19:44:16.3585857Z * [new tag] cslpull79 -> cslpull79 2025-08-26T19:44:16.3587373Z * [new tag] cslpull80 -> cslpull80 2025-08-26T19:44:16.3588401Z * [new tag] cslpull81 -> cslpull81 2025-08-26T19:44:16.3589643Z * [new tag] cslpull82 -> cslpull82 2025-08-26T19:44:16.3591234Z * [new tag] cslpull83 -> cslpull83 2025-08-26T19:44:16.3592021Z * [new tag] cslpull84 -> cslpull84 2025-08-26T19:44:16.3593384Z * [new tag] cslpull85 -> cslpull85 2025-08-26T19:44:16.3594679Z * [new tag] cslpull86 -> cslpull86 2025-08-26T19:44:16.3595989Z * [new tag] cslpull87 -> cslpull87 2025-08-26T19:44:16.3597258Z * [new tag] cslpull88 -> cslpull88 2025-08-26T19:44:16.3598656Z * [new tag] cslpull89 -> cslpull89 2025-08-26T19:44:16.3599364Z * [new tag] cslpull90 -> cslpull90 2025-08-26T19:44:16.3601286Z * [new tag] cslpull91 -> cslpull91 2025-08-26T19:44:16.3602140Z * [new tag] cslpull92 -> cslpull92 2025-08-26T19:44:16.3603669Z * [new tag] flight_5 -> flight_5 2025-08-26T19:44:16.3604898Z * [new tag] flight_5.1 -> flight_5.1 2025-08-26T19:44:16.3606265Z * [new tag] flight_5.2 -> flight_5.2 2025-08-26T19:44:16.3607195Z * [new tag] flight_5.3 -> flight_5.3 2025-08-26T19:44:16.3608545Z * [new tag] forpull1 -> forpull1 2025-08-26T19:44:16.3610170Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-26T19:44:16.3611049Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-26T19:44:16.3612501Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-26T19:44:16.3613593Z * [new tag] nightly-binary -> nightly-binary 2025-08-26T19:44:16.3614568Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-26T19:44:16.3616094Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-26T19:44:16.3617915Z * [new tag] trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1 -> trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1 2025-08-26T19:44:16.3618921Z * [new tag] trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf -> trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf 2025-08-26T19:44:16.3620841Z * [new tag] trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff -> trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff 2025-08-26T19:44:16.3622279Z * [new tag] trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2 -> trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2 2025-08-26T19:44:16.3623796Z * [new tag] trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8 -> trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8 2025-08-26T19:44:16.3624994Z * [new tag] trunk/0924304e728b9507a54eced28c812fbd5b13c397 -> trunk/0924304e728b9507a54eced28c812fbd5b13c397 2025-08-26T19:44:16.3627158Z * [new tag] trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89 -> trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89 2025-08-26T19:44:16.3627958Z * [new tag] trunk/0d19541284c38212235f78db24e3ac3ae4787e45 -> trunk/0d19541284c38212235f78db24e3ac3ae4787e45 2025-08-26T19:44:16.3629237Z * [new tag] trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863 -> trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863 2025-08-26T19:44:16.3630266Z * [new tag] trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 2025-08-26T19:44:16.3631421Z * [new tag] trunk/0f801a510f5f185543388717241adb7237c3d46a -> trunk/0f801a510f5f185543388717241adb7237c3d46a 2025-08-26T19:44:16.3632416Z * [new tag] trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0 -> trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0 2025-08-26T19:44:16.3633875Z * [new tag] trunk/1113e7de30da95973c1eac7921601f9a0e94f2db -> trunk/1113e7de30da95973c1eac7921601f9a0e94f2db 2025-08-26T19:44:16.3635298Z * [new tag] trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb -> trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb 2025-08-26T19:44:16.3636463Z * [new tag] trunk/1471b20cb3fc502931ef12b1420414e32facd5b0 -> trunk/1471b20cb3fc502931ef12b1420414e32facd5b0 2025-08-26T19:44:16.3638643Z * [new tag] trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053 -> trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053 2025-08-26T19:44:16.3639612Z * [new tag] trunk/17b0263e86aec8aed068bb8b6744b129233e8084 -> trunk/17b0263e86aec8aed068bb8b6744b129233e8084 2025-08-26T19:44:16.3640596Z * [new tag] trunk/18271148d32da3d48897e9e7515de45066fce5bc -> trunk/18271148d32da3d48897e9e7515de45066fce5bc 2025-08-26T19:44:16.3641905Z * [new tag] trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4 -> trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4 2025-08-26T19:44:16.3643154Z * [new tag] trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712 -> trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712 2025-08-26T19:44:16.3644304Z * [new tag] trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8 -> trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8 2025-08-26T19:44:16.3645486Z * [new tag] trunk/1d46aa736fc8870dc88015c729a8c64470fa985c -> trunk/1d46aa736fc8870dc88015c729a8c64470fa985c 2025-08-26T19:44:16.3646797Z * [new tag] trunk/1de4540449ad6b9df8f452ab72da30ce8908af60 -> trunk/1de4540449ad6b9df8f452ab72da30ce8908af60 2025-08-26T19:44:16.3647956Z * [new tag] trunk/1e3fe78a104776cd708f150116348540346dae25 -> trunk/1e3fe78a104776cd708f150116348540346dae25 2025-08-26T19:44:16.3649230Z * [new tag] trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a -> trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a 2025-08-26T19:44:16.3650442Z * [new tag] trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a -> trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a 2025-08-26T19:44:16.3651681Z * [new tag] trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c -> trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c 2025-08-26T19:44:16.3653014Z * [new tag] trunk/209143ddeb99b0b075d16525088cee4893be7492 -> trunk/209143ddeb99b0b075d16525088cee4893be7492 2025-08-26T19:44:16.3654202Z * [new tag] trunk/22df59efc0a845b3ff37019029efd07c5a25c456 -> trunk/22df59efc0a845b3ff37019029efd07c5a25c456 2025-08-26T19:44:16.3655394Z * [new tag] trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3 -> trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3 2025-08-26T19:44:16.3658830Z * [new tag] trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a -> trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a 2025-08-26T19:44:16.3659621Z * [new tag] trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9 -> trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9 2025-08-26T19:44:16.3660330Z * [new tag] trunk/262640fd220236042fbf4443cc163c8838c84c3d -> trunk/262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:44:16.3661140Z * [new tag] trunk/266784ec6ae82f823abe406582e7a91f2ebb564a -> trunk/266784ec6ae82f823abe406582e7a91f2ebb564a 2025-08-26T19:44:16.3661845Z * [new tag] trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409 -> trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409 2025-08-26T19:44:16.3662625Z * [new tag] trunk/284b7190054686e68d9cc683b6ce43e45dd22338 -> trunk/284b7190054686e68d9cc683b6ce43e45dd22338 2025-08-26T19:44:16.3663426Z * [new tag] trunk/29afde20203ee6773641b4e3552942a37315316f -> trunk/29afde20203ee6773641b4e3552942a37315316f 2025-08-26T19:44:16.3664342Z * [new tag] trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e -> trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e 2025-08-26T19:44:16.3665425Z * [new tag] trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8 -> trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8 2025-08-26T19:44:16.3666279Z * [new tag] trunk/2beffb3311a41589021c121dac543994a7cbdff2 -> trunk/2beffb3311a41589021c121dac543994a7cbdff2 2025-08-26T19:44:16.3666939Z * [new tag] trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54 -> trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54 2025-08-26T19:44:16.3667809Z * [new tag] trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421 -> trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421 2025-08-26T19:44:16.3668683Z * [new tag] trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10 -> trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10 2025-08-26T19:44:16.3669455Z * [new tag] trunk/2f0cba934de7094a66c6ce68f5e937254f23142a -> trunk/2f0cba934de7094a66c6ce68f5e937254f23142a 2025-08-26T19:44:16.3670149Z * [new tag] trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 2025-08-26T19:44:16.3670902Z * [new tag] trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf -> trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf 2025-08-26T19:44:16.3671768Z * [new tag] trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06 -> trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06 2025-08-26T19:44:16.3672585Z * [new tag] trunk/30384abcb1d181e774c0ac21b580aa34336a96c6 -> trunk/30384abcb1d181e774c0ac21b580aa34336a96c6 2025-08-26T19:44:16.3673752Z * [new tag] trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d -> trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d 2025-08-26T19:44:16.3674576Z * [new tag] trunk/332fa5b388521c05a19217649745c6edfdc2836d -> trunk/332fa5b388521c05a19217649745c6edfdc2836d 2025-08-26T19:44:16.3675648Z * [new tag] trunk/33346b58148c55592994a43385c321ae8c8808f2 -> trunk/33346b58148c55592994a43385c321ae8c8808f2 2025-08-26T19:44:16.3676463Z * [new tag] trunk/3373b074f5ea5277974fa6e945544fdfb16bb446 -> trunk/3373b074f5ea5277974fa6e945544fdfb16bb446 2025-08-26T19:44:16.3677246Z * [new tag] trunk/33c3794533844236a6e30ba377e0a6802b279fc8 -> trunk/33c3794533844236a6e30ba377e0a6802b279fc8 2025-08-26T19:44:16.3678074Z * [new tag] trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208 -> trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208 2025-08-26T19:44:16.3678885Z * [new tag] trunk/36ac916929ca67b533cc45932970297e9824324e -> trunk/36ac916929ca67b533cc45932970297e9824324e 2025-08-26T19:44:16.3679704Z * [new tag] trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76 -> trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76 2025-08-26T19:44:16.3680458Z * [new tag] trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b -> trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b 2025-08-26T19:44:16.3681319Z * [new tag] trunk/37a34022b59a6ff2757e5cec0fdc72278418f339 -> trunk/37a34022b59a6ff2757e5cec0fdc72278418f339 2025-08-26T19:44:16.3682098Z * [new tag] trunk/38a492d40d7ebb2856cb120df337c6cdac244528 -> trunk/38a492d40d7ebb2856cb120df337c6cdac244528 2025-08-26T19:44:16.3682991Z * [new tag] trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728 -> trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728 2025-08-26T19:44:16.3683749Z * [new tag] trunk/39862acb2e320783245d2a03acfd1b14cae28038 -> trunk/39862acb2e320783245d2a03acfd1b14cae28038 2025-08-26T19:44:16.3684629Z * [new tag] trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f -> trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f 2025-08-26T19:44:16.3685484Z * [new tag] trunk/3caddd4daa5b1a167663c07219e065e86247ad76 -> trunk/3caddd4daa5b1a167663c07219e065e86247ad76 2025-08-26T19:44:16.3686307Z * [new tag] trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9 -> trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9 2025-08-26T19:44:16.3687071Z * [new tag] trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa -> trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa 2025-08-26T19:44:16.3687879Z * [new tag] trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062 -> trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062 2025-08-26T19:44:16.3688455Z * [new tag] trunk/3e5b021f217a42ae55dc690083f67a28126808ed -> trunk/3e5b021f217a42ae55dc690083f67a28126808ed 2025-08-26T19:44:16.3689243Z * [new tag] trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39 -> trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39 2025-08-26T19:44:16.3690096Z * [new tag] trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24 -> trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24 2025-08-26T19:44:16.3691048Z * [new tag] trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3 -> trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3 2025-08-26T19:44:16.3692389Z * [new tag] trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759 -> trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759 2025-08-26T19:44:16.3693121Z * [new tag] trunk/419a2dbf5f69cee52382090200b532a81da92c69 -> trunk/419a2dbf5f69cee52382090200b532a81da92c69 2025-08-26T19:44:16.3693969Z * [new tag] trunk/431846a6323c6f1d02da49e311ac694324f386f4 -> trunk/431846a6323c6f1d02da49e311ac694324f386f4 2025-08-26T19:44:16.3694761Z * [new tag] trunk/44549c7146bd6c4166f97e856037babe1b7f4f49 -> trunk/44549c7146bd6c4166f97e856037babe1b7f4f49 2025-08-26T19:44:16.3695720Z * [new tag] trunk/447d34b5f80fb7350f79decd855cb599cab39083 -> trunk/447d34b5f80fb7350f79decd855cb599cab39083 2025-08-26T19:44:16.3696499Z * [new tag] trunk/46429be72323c1807a785234164bd91011f68d08 -> trunk/46429be72323c1807a785234164bd91011f68d08 2025-08-26T19:44:16.3697212Z * [new tag] trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8 -> trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8 2025-08-26T19:44:16.3697999Z * [new tag] trunk/47d267364cad407b5612bf4a5faa160d2f4a7121 -> trunk/47d267364cad407b5612bf4a5faa160d2f4a7121 2025-08-26T19:44:16.3698854Z * [new tag] trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24 -> trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24 2025-08-26T19:44:16.3699652Z * [new tag] trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4 -> trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4 2025-08-26T19:44:16.3700449Z * [new tag] trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52 -> trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52 2025-08-26T19:44:16.3701266Z * [new tag] trunk/4c36c8a99463c898190a462300ba7f05b5b3384e -> trunk/4c36c8a99463c898190a462300ba7f05b5b3384e 2025-08-26T19:44:16.3702066Z * [new tag] trunk/4e19c1906a830714c1d9d71361357ce616a034d6 -> trunk/4e19c1906a830714c1d9d71361357ce616a034d6 2025-08-26T19:44:16.3702867Z * [new tag] trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898 -> trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898 2025-08-26T19:44:16.3703689Z * [new tag] trunk/50cfe76231768ee2c784f68a1eba03369f386019 -> trunk/50cfe76231768ee2c784f68a1eba03369f386019 2025-08-26T19:44:16.3704452Z * [new tag] trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810 -> trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810 2025-08-26T19:44:16.3705289Z * [new tag] trunk/512fc768e94c937df350911aaa4ebce757d1f9df -> trunk/512fc768e94c937df350911aaa4ebce757d1f9df 2025-08-26T19:44:16.3706562Z * [new tag] trunk/517d38d3406abbba35d0694bff259a698cad3ec9 -> trunk/517d38d3406abbba35d0694bff259a698cad3ec9 2025-08-26T19:44:16.3707385Z * [new tag] trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2 -> trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2 2025-08-26T19:44:16.3708155Z * [new tag] trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed -> trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed 2025-08-26T19:44:16.3708963Z * [new tag] trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb -> trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb 2025-08-26T19:44:16.3709642Z * [new tag] trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1 -> trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1 2025-08-26T19:44:16.3710553Z * [new tag] trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7 -> trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7 2025-08-26T19:44:16.3711351Z * [new tag] trunk/576a0e64ed2470abd2c430205d1984a11951ce05 -> trunk/576a0e64ed2470abd2c430205d1984a11951ce05 2025-08-26T19:44:16.3712118Z * [new tag] trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa -> trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa 2025-08-26T19:44:16.3712978Z * [new tag] trunk/58f9a3dd6391397e439c5f5075837e8f983735aa -> trunk/58f9a3dd6391397e439c5f5075837e8f983735aa 2025-08-26T19:44:16.3713849Z * [new tag] trunk/595987d28d4c8aee68de83734af919c7710ad58b -> trunk/595987d28d4c8aee68de83734af919c7710ad58b 2025-08-26T19:44:16.3714810Z * [new tag] trunk/599f639ddb8bb45abb2dc305542f38288427183d -> trunk/599f639ddb8bb45abb2dc305542f38288427183d 2025-08-26T19:44:16.3715658Z * [new tag] trunk/5afa4187dfe1e99278f8e372ec09102d5b937572 -> trunk/5afa4187dfe1e99278f8e372ec09102d5b937572 2025-08-26T19:44:16.3716517Z * [new tag] trunk/5d9653d90ee003173dd03f93e09fed236500ef06 -> trunk/5d9653d90ee003173dd03f93e09fed236500ef06 2025-08-26T19:44:16.3717302Z * [new tag] trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e -> trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e 2025-08-26T19:44:16.3718465Z * [new tag] trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f -> trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f 2025-08-26T19:44:16.3719147Z * [new tag] trunk/6096d277c543f5dd40351431ef9a8d556134c74d -> trunk/6096d277c543f5dd40351431ef9a8d556134c74d 2025-08-26T19:44:16.3719991Z * [new tag] trunk/62db8ec39116544ae247f876b3e06753178db49b -> trunk/62db8ec39116544ae247f876b3e06753178db49b 2025-08-26T19:44:16.3720790Z * [new tag] trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1 -> trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1 2025-08-26T19:44:16.3721586Z * [new tag] trunk/6443ea337df843681bc558d99efa84a3e5559b7f -> trunk/6443ea337df843681bc558d99efa84a3e5559b7f 2025-08-26T19:44:16.3722443Z * [new tag] trunk/6598f00c18dfcc4fc50427305b6b5724e617246f -> trunk/6598f00c18dfcc4fc50427305b6b5724e617246f 2025-08-26T19:44:16.3723323Z * [new tag] trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611 -> trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611 2025-08-26T19:44:16.3724115Z * [new tag] trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43 -> trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43 2025-08-26T19:44:16.3725007Z * [new tag] trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc -> trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc 2025-08-26T19:44:16.3725814Z * [new tag] trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03 -> trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03 2025-08-26T19:44:16.3726594Z * [new tag] trunk/67b98da1b262317f9c0375d64a4b467c82712548 -> trunk/67b98da1b262317f9c0375d64a4b467c82712548 2025-08-26T19:44:16.3727477Z * [new tag] trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab -> trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab 2025-08-26T19:44:16.3728326Z * [new tag] trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4 -> trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4 2025-08-26T19:44:16.3729179Z * [new tag] trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9 -> trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9 2025-08-26T19:44:16.3729850Z * [new tag] trunk/6ea4be1e2eca952ea66090182bd2eede89799a45 -> trunk/6ea4be1e2eca952ea66090182bd2eede89799a45 2025-08-26T19:44:16.3730651Z * [new tag] trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021 -> trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021 2025-08-26T19:44:16.3731443Z * [new tag] trunk/710514a2a51facaba445d2c188541d778f9fdb59 -> trunk/710514a2a51facaba445d2c188541d778f9fdb59 2025-08-26T19:44:16.3732441Z * [new tag] trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1 -> trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1 2025-08-26T19:44:16.3733169Z * [new tag] trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72 -> trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72 2025-08-26T19:44:16.3733965Z * [new tag] trunk/72e4786d1635681b8d053d0168c7d16b980e5124 -> trunk/72e4786d1635681b8d053d0168c7d16b980e5124 2025-08-26T19:44:16.3734781Z * [new tag] trunk/7376111d59f3170c2814d565c09d09435189692a -> trunk/7376111d59f3170c2814d565c09d09435189692a 2025-08-26T19:44:16.3735698Z * [new tag] trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1 -> trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1 2025-08-26T19:44:16.3737206Z * [new tag] trunk/74280d091321343b47a2975e17584b973d7c22c4 -> trunk/74280d091321343b47a2975e17584b973d7c22c4 2025-08-26T19:44:16.3737869Z * [new tag] trunk/74c4c758afa8c28162f00a456c185552e1159fd3 -> trunk/74c4c758afa8c28162f00a456c185552e1159fd3 2025-08-26T19:44:16.3738680Z * [new tag] trunk/763053dc536341997641e920d8887b3010901b3b -> trunk/763053dc536341997641e920d8887b3010901b3b 2025-08-26T19:44:16.3739531Z * [new tag] trunk/774b4befa18741b3115802cae71000168a40c384 -> trunk/774b4befa18741b3115802cae71000168a40c384 2025-08-26T19:44:16.3740216Z * [new tag] trunk/77bc959fe122bfd131e339ca36cab445a1860806 -> trunk/77bc959fe122bfd131e339ca36cab445a1860806 2025-08-26T19:44:16.3741086Z * [new tag] trunk/78a8e6a671c5631bc0e89b0e674790a424540547 -> trunk/78a8e6a671c5631bc0e89b0e674790a424540547 2025-08-26T19:44:16.3741918Z * [new tag] trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808 -> trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808 2025-08-26T19:44:16.3742848Z * [new tag] trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea -> trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea 2025-08-26T19:44:16.3743621Z * [new tag] trunk/7f201baf414301b3312576893b7f6f2698acd9ba -> trunk/7f201baf414301b3312576893b7f6f2698acd9ba 2025-08-26T19:44:16.3744460Z * [new tag] trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a -> trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a 2025-08-26T19:44:16.3745612Z * [new tag] trunk/801851086d09506d081800108c9e214edb3f5b7d -> trunk/801851086d09506d081800108c9e214edb3f5b7d 2025-08-26T19:44:16.3746845Z * [new tag] trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f -> trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f 2025-08-26T19:44:16.3747617Z * [new tag] trunk/80df27a612be3433516d7e6dfc8d8be058425d3e -> trunk/80df27a612be3433516d7e6dfc8d8be058425d3e 2025-08-26T19:44:16.3748456Z * [new tag] trunk/818ba434c7de4cd604184b2857d544e0ad95735f -> trunk/818ba434c7de4cd604184b2857d544e0ad95735f 2025-08-26T19:44:16.3749322Z * [new tag] trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527 -> trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527 2025-08-26T19:44:16.3750088Z * [new tag] trunk/85adf80cf15538a7e010fa235036fe8e06f8bede -> trunk/85adf80cf15538a7e010fa235036fe8e06f8bede 2025-08-26T19:44:16.3751196Z * [new tag] trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740 -> trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740 2025-08-26T19:44:16.3752043Z * [new tag] trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2 -> trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2 2025-08-26T19:44:16.3752944Z * [new tag] trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8 -> trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8 2025-08-26T19:44:16.3754188Z * [new tag] trunk/8cfc119491f533c4edded4263a78eb0af782a2d5 -> trunk/8cfc119491f533c4edded4263a78eb0af782a2d5 2025-08-26T19:44:16.3755157Z * [new tag] trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e -> trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e 2025-08-26T19:44:16.3756492Z * [new tag] trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa -> trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa 2025-08-26T19:44:16.3757765Z * [new tag] trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9 -> trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9 2025-08-26T19:44:16.3758997Z * [new tag] trunk/8f766d68397736053883aa281cae0eb46bb233bb -> trunk/8f766d68397736053883aa281cae0eb46bb233bb 2025-08-26T19:44:16.3760186Z * [new tag] trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836 -> trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836 2025-08-26T19:44:16.3761093Z * [new tag] trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b -> trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b 2025-08-26T19:44:16.3762426Z * [new tag] trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e -> trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e 2025-08-26T19:44:16.3764893Z * [new tag] trunk/923bc46122d173a7964c646311a3bea3cd8dd561 -> trunk/923bc46122d173a7964c646311a3bea3cd8dd561 2025-08-26T19:44:16.3765309Z * [new tag] trunk/92ab18482459a63e97f1374e27e8411964da9762 -> trunk/92ab18482459a63e97f1374e27e8411964da9762 2025-08-26T19:44:16.3766181Z * [new tag] trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e -> trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e 2025-08-26T19:44:16.3766940Z * [new tag] trunk/957b170d8efe2a51147e0cdb7515acc345ba81da -> trunk/957b170d8efe2a51147e0cdb7515acc345ba81da 2025-08-26T19:44:16.3767884Z * [new tag] trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae -> trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae 2025-08-26T19:44:16.3768373Z * [new tag] trunk/96682103026b5ea27f19e6db9303e17572095b0e -> trunk/96682103026b5ea27f19e6db9303e17572095b0e 2025-08-26T19:44:16.3769135Z * [new tag] trunk/97200c971110d54030feaad999698c7341f8acc7 -> trunk/97200c971110d54030feaad999698c7341f8acc7 2025-08-26T19:44:16.3769958Z * [new tag] trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be -> trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be 2025-08-26T19:44:16.3770779Z * [new tag] trunk/995397d47a0e27394ee1010f158e181eb304100a -> trunk/995397d47a0e27394ee1010f158e181eb304100a 2025-08-26T19:44:16.3771893Z * [new tag] trunk/9a41570199155eee92ebd28452a556075e34e1b4 -> trunk/9a41570199155eee92ebd28452a556075e34e1b4 2025-08-26T19:44:16.3772703Z * [new tag] trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da -> trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da 2025-08-26T19:44:16.3773554Z * [new tag] trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44 -> trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44 2025-08-26T19:44:16.3774834Z * [new tag] trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a -> trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a 2025-08-26T19:44:16.3775689Z * [new tag] trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5 -> trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5 2025-08-26T19:44:16.3776530Z * [new tag] trunk/9d882fd9ffc6ad2a292fee548740aabfea745002 -> trunk/9d882fd9ffc6ad2a292fee548740aabfea745002 2025-08-26T19:44:16.3777628Z * [new tag] trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3 -> trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3 2025-08-26T19:44:16.3778434Z * [new tag] trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a -> trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a 2025-08-26T19:44:16.3779269Z * [new tag] trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea -> trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea 2025-08-26T19:44:16.3780111Z * [new tag] trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b -> trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b 2025-08-26T19:44:16.3780955Z * [new tag] trunk/a154c2093c0f2646346f032e1f30012779b3c51d -> trunk/a154c2093c0f2646346f032e1f30012779b3c51d 2025-08-26T19:44:16.3781804Z * [new tag] trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88 -> trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88 2025-08-26T19:44:16.3782749Z * [new tag] trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645 -> trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645 2025-08-26T19:44:16.3783569Z * [new tag] trunk/a3fe1ced409d186628ff2975f05ba529a86fae84 -> trunk/a3fe1ced409d186628ff2975f05ba529a86fae84 2025-08-26T19:44:16.3784461Z * [new tag] trunk/a43480d19cdd68e544163b1a07c328a9c54723b8 -> trunk/a43480d19cdd68e544163b1a07c328a9c54723b8 2025-08-26T19:44:16.3785280Z * [new tag] trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77 -> trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77 2025-08-26T19:44:16.3786145Z * [new tag] trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b -> trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b 2025-08-26T19:44:16.3786981Z * [new tag] trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182 -> trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182 2025-08-26T19:44:16.3787822Z * [new tag] trunk/a68f63e33161b4665e0f4c399bf8072135a35a57 -> trunk/a68f63e33161b4665e0f4c399bf8072135a35a57 2025-08-26T19:44:16.3788699Z * [new tag] trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b -> trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b 2025-08-26T19:44:16.3789599Z * [new tag] trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb -> trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb 2025-08-26T19:44:16.3790449Z * [new tag] trunk/a818fa77e3a72271f144514ef349c5a666313205 -> trunk/a818fa77e3a72271f144514ef349c5a666313205 2025-08-26T19:44:16.3791335Z * [new tag] trunk/a825557ed53507e85ac613862311a81eb88710a4 -> trunk/a825557ed53507e85ac613862311a81eb88710a4 2025-08-26T19:44:16.3792130Z * [new tag] trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e -> trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e 2025-08-26T19:44:16.3792952Z * [new tag] trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88 -> trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88 2025-08-26T19:44:16.3793888Z * [new tag] trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58 -> trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58 2025-08-26T19:44:16.3794763Z * [new tag] trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b -> trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b 2025-08-26T19:44:16.3795607Z * [new tag] trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6 -> trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6 2025-08-26T19:44:16.3796380Z * [new tag] trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b -> trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b 2025-08-26T19:44:16.3797255Z * [new tag] trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e -> trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e 2025-08-26T19:44:16.3798067Z * [new tag] trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83 -> trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83 2025-08-26T19:44:16.3798920Z * [new tag] trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc -> trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc 2025-08-26T19:44:16.3799822Z * [new tag] trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18 -> trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18 2025-08-26T19:44:16.3800730Z * [new tag] trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6 -> trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6 2025-08-26T19:44:16.3801600Z * [new tag] trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687 -> trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687 2025-08-26T19:44:16.3802441Z * [new tag] trunk/b2632e79828300302fd11e093d765196c3c0db58 -> trunk/b2632e79828300302fd11e093d765196c3c0db58 2025-08-26T19:44:16.3803301Z * [new tag] trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67 -> trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67 2025-08-26T19:44:16.3804193Z * [new tag] trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27 -> trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27 2025-08-26T19:44:16.3805135Z * [new tag] trunk/b708966201811b31ee765ec57715ac21d06ef652 -> trunk/b708966201811b31ee765ec57715ac21d06ef652 2025-08-26T19:44:16.3806453Z * [new tag] trunk/b9e9e92817fd7d1a778f074105603efb07e05004 -> trunk/b9e9e92817fd7d1a778f074105603efb07e05004 2025-08-26T19:44:16.3807236Z * [new tag] trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 2025-08-26T19:44:16.3808026Z * [new tag] trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045 -> trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045 2025-08-26T19:44:16.3808858Z * [new tag] trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a -> trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a 2025-08-26T19:44:16.3809729Z * [new tag] trunk/be2e6b3158552405acc13ef7829a0217826fb271 -> trunk/be2e6b3158552405acc13ef7829a0217826fb271 2025-08-26T19:44:16.3810620Z * [new tag] trunk/be87f22dfba4488963fcc854699829e2782ee0f2 -> trunk/be87f22dfba4488963fcc854699829e2782ee0f2 2025-08-26T19:44:16.3811481Z * [new tag] trunk/becd6cd744bdf950578519437652a0d1f4b48781 -> trunk/becd6cd744bdf950578519437652a0d1f4b48781 2025-08-26T19:44:16.3812492Z * [new tag] trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216 -> trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216 2025-08-26T19:44:16.3813350Z * [new tag] trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32 -> trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32 2025-08-26T19:44:16.3814338Z * [new tag] trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7 -> trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7 2025-08-26T19:44:16.3815116Z * [new tag] trunk/c2390087c34c964ef648addf43efb8c6a34e30c2 -> trunk/c2390087c34c964ef648addf43efb8c6a34e30c2 2025-08-26T19:44:16.3815958Z * [new tag] trunk/c4670e40c9b741d50a79b714e3830149833be908 -> trunk/c4670e40c9b741d50a79b714e3830149833be908 2025-08-26T19:44:16.3816881Z * [new tag] trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a -> trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a 2025-08-26T19:44:16.3817707Z * [new tag] trunk/c60dea5261d9648d1da51528a07731966bb6823e -> trunk/c60dea5261d9648d1da51528a07731966bb6823e 2025-08-26T19:44:16.3818568Z * [new tag] trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc -> trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc 2025-08-26T19:44:16.3819255Z * [new tag] trunk/c7a77470c54b28e555319e34048af14d1d66198a -> trunk/c7a77470c54b28e555319e34048af14d1d66198a 2025-08-26T19:44:16.3820248Z * [new tag] trunk/c7fb031706330684fc3a2d8d169bebea874d4e95 -> trunk/c7fb031706330684fc3a2d8d169bebea874d4e95 2025-08-26T19:44:16.3821041Z * [new tag] trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca -> trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca 2025-08-26T19:44:16.3821960Z * [new tag] trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f -> trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f 2025-08-26T19:44:16.3822747Z * [new tag] trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1 -> trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1 2025-08-26T19:44:16.3823501Z * [new tag] trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f -> trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f 2025-08-26T19:44:16.3824335Z * [new tag] trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d -> trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d 2025-08-26T19:44:16.3825316Z * [new tag] trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec -> trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec 2025-08-26T19:44:16.3826121Z * [new tag] trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138 -> trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138 2025-08-26T19:44:16.3827198Z * [new tag] trunk/ce048de608180fa88335e5821070472539968b54 -> trunk/ce048de608180fa88335e5821070472539968b54 2025-08-26T19:44:16.3827905Z * [new tag] trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936 -> trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936 2025-08-26T19:44:16.3828960Z * [new tag] trunk/cee72119b2dec7776bc2550dd39a9b1349772751 -> trunk/cee72119b2dec7776bc2550dd39a9b1349772751 2025-08-26T19:44:16.3829950Z * [new tag] trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0 -> trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0 2025-08-26T19:44:16.3830921Z * [new tag] trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e -> trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e 2025-08-26T19:44:16.3831824Z * [new tag] trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a -> trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a 2025-08-26T19:44:16.3832848Z * [new tag] trunk/d228a776e90368bb693837ae23285ad8fc33def5 -> trunk/d228a776e90368bb693837ae23285ad8fc33def5 2025-08-26T19:44:16.3833941Z * [new tag] trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31 -> trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31 2025-08-26T19:44:16.3834798Z * [new tag] trunk/d2bd55d8de784df439b38378f161271dc43b744c -> trunk/d2bd55d8de784df439b38378f161271dc43b744c 2025-08-26T19:44:16.3835676Z * [new tag] trunk/d4703fb91c3510460d71f648da113177edf593c8 -> trunk/d4703fb91c3510460d71f648da113177edf593c8 2025-08-26T19:44:16.3836526Z * [new tag] trunk/d875d3ca1e5099636c766c9df70ac5888c25215a -> trunk/d875d3ca1e5099636c766c9df70ac5888c25215a 2025-08-26T19:44:16.3837496Z * [new tag] trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892 -> trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892 2025-08-26T19:44:16.3838320Z * [new tag] trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e -> trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e 2025-08-26T19:44:16.3839175Z * [new tag] trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0 -> trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0 2025-08-26T19:44:16.3840519Z * [new tag] trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8 -> trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8 2025-08-26T19:44:16.3841391Z * [new tag] trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769 -> trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769 2025-08-26T19:44:16.3842244Z * [new tag] trunk/df571ae7ad7dacf77ce42c00189cf369d7993387 -> trunk/df571ae7ad7dacf77ce42c00189cf369d7993387 2025-08-26T19:44:16.3843139Z * [new tag] trunk/df6073641079c781e66a905e4f15ee49ac257eb2 -> trunk/df6073641079c781e66a905e4f15ee49ac257eb2 2025-08-26T19:44:16.3844027Z * [new tag] trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec -> trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec 2025-08-26T19:44:16.3844920Z * [new tag] trunk/e20f6d798606f3245686e950c43635bbe526232d -> trunk/e20f6d798606f3245686e950c43635bbe526232d 2025-08-26T19:44:16.3845559Z * [new tag] trunk/e25ee0290ef16503f178e04890c15717f6e9ea44 -> trunk/e25ee0290ef16503f178e04890c15717f6e9ea44 2025-08-26T19:44:16.3846439Z * [new tag] trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa -> trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa 2025-08-26T19:44:16.3847417Z * [new tag] trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a -> trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a 2025-08-26T19:44:16.3848313Z * [new tag] trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79 -> trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79 2025-08-26T19:44:16.3848928Z * [new tag] trunk/e4839470470168648dee5997f57347bb8541ea2b -> trunk/e4839470470168648dee5997f57347bb8541ea2b 2025-08-26T19:44:16.3849819Z * [new tag] trunk/e63155751825ba026ced3a1fc89563231bc85ccc -> trunk/e63155751825ba026ced3a1fc89563231bc85ccc 2025-08-26T19:44:16.3850698Z * [new tag] trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717 -> trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717 2025-08-26T19:44:16.3851555Z * [new tag] trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb -> trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb 2025-08-26T19:44:16.3852506Z * [new tag] trunk/e795450a35bca909902e12de99245e1c0e7e2872 -> trunk/e795450a35bca909902e12de99245e1c0e7e2872 2025-08-26T19:44:16.3853336Z * [new tag] trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71 -> trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71 2025-08-26T19:44:16.3854230Z * [new tag] trunk/e836323a23f5750e800abe04ef8ca386b3066b58 -> trunk/e836323a23f5750e800abe04ef8ca386b3066b58 2025-08-26T19:44:16.3855222Z * [new tag] trunk/e83825f91cb2901567fedbf31ba7cc434a897271 -> trunk/e83825f91cb2901567fedbf31ba7cc434a897271 2025-08-26T19:44:16.3856538Z * [new tag] trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3 -> trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3 2025-08-26T19:44:16.3857283Z * [new tag] trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4 -> trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4 2025-08-26T19:44:16.3858187Z * [new tag] trunk/eba1ad09e47b66478f973e03cece7f314ac3b412 -> trunk/eba1ad09e47b66478f973e03cece7f314ac3b412 2025-08-26T19:44:16.3859040Z * [new tag] trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282 -> trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282 2025-08-26T19:44:16.3859941Z * [new tag] trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2 -> trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2 2025-08-26T19:44:16.3860770Z * [new tag] trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3 -> trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3 2025-08-26T19:44:16.3861686Z * [new tag] trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259 -> trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259 2025-08-26T19:44:16.3862604Z * [new tag] trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a -> trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a 2025-08-26T19:44:16.3864082Z * [new tag] trunk/f085f299584b06a2a7d8855eda2a411313e782ad -> trunk/f085f299584b06a2a7d8855eda2a411313e782ad 2025-08-26T19:44:16.3864849Z * [new tag] trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8 -> trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8 2025-08-26T19:44:16.3865805Z * [new tag] trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999 -> trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999 2025-08-26T19:44:16.3866551Z * [new tag] trunk/f30501937738a2440f90988d1d46920529309ba8 -> trunk/f30501937738a2440f90988d1d46920529309ba8 2025-08-26T19:44:16.3867464Z * [new tag] trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744 -> trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744 2025-08-26T19:44:16.3868205Z * [new tag] trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1 -> trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1 2025-08-26T19:44:16.3868911Z * [new tag] trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a -> trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a 2025-08-26T19:44:16.3869729Z * [new tag] trunk/f795e92802c55608ad4f4f198726d250056d0232 -> trunk/f795e92802c55608ad4f4f198726d250056d0232 2025-08-26T19:44:16.3870768Z * [new tag] trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d -> trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d 2025-08-26T19:44:16.3871696Z * [new tag] trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935 -> trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935 2025-08-26T19:44:16.3872433Z * [new tag] trunk/f912c93344caa74e24c8164a2e25fe84a8203073 -> trunk/f912c93344caa74e24c8164a2e25fe84a8203073 2025-08-26T19:44:16.3873527Z * [new tag] trunk/f9875166a953a51bbd454d963ee03d41818a27e8 -> trunk/f9875166a953a51bbd454d963ee03d41818a27e8 2025-08-26T19:44:16.3874417Z * [new tag] trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36 -> trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36 2025-08-26T19:44:16.3875317Z * [new tag] trunk/fab5dac734344105ae107e85c08151758a4a9b4d -> trunk/fab5dac734344105ae107e85c08151758a4a9b4d 2025-08-26T19:44:16.3876186Z * [new tag] trunk/fb241d0a448f1dd88471098ac149418124a7c4aa -> trunk/fb241d0a448f1dd88471098ac149418124a7c4aa 2025-08-26T19:44:16.3877232Z * [new tag] trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1 -> trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1 2025-08-26T19:44:16.3879752Z * [new tag] trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0 -> trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0 2025-08-26T19:44:16.3880601Z * [new tag] trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0 -> trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0 2025-08-26T19:44:16.3881387Z * [new tag] trunk/fecc5f600110209aaaedead11770a445b3c879e6 -> trunk/fecc5f600110209aaaedead11770a445b3c879e6 2025-08-26T19:44:16.3882328Z * [new tag] trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8 -> trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8 2025-08-26T19:44:16.3883018Z * [new tag] trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec -> trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec 2025-08-26T19:44:16.3883654Z * [new tag] v0.1.1 -> v0.1.1 2025-08-26T19:44:16.3884570Z * [new tag] v0.1.10 -> v0.1.10 2025-08-26T19:44:16.3885278Z * [new tag] v0.1.11 -> v0.1.11 2025-08-26T19:44:16.3886494Z * [new tag] v0.1.12 -> v0.1.12 2025-08-26T19:44:16.3887277Z * [new tag] v0.1.2 -> v0.1.2 2025-08-26T19:44:16.3887995Z * [new tag] v0.1.3 -> v0.1.3 2025-08-26T19:44:16.3888751Z * [new tag] v0.1.4 -> v0.1.4 2025-08-26T19:44:16.3889531Z * [new tag] v0.1.5 -> v0.1.5 2025-08-26T19:44:16.3890260Z * [new tag] v0.1.6 -> v0.1.6 2025-08-26T19:44:16.3890986Z * [new tag] v0.1.7 -> v0.1.7 2025-08-26T19:44:16.3891883Z * [new tag] v0.1.8 -> v0.1.8 2025-08-26T19:44:16.3892586Z * [new tag] v0.1.9 -> v0.1.9 2025-08-26T19:44:16.3893359Z * [new tag] v0.2.0 -> v0.2.0 2025-08-26T19:44:16.3894087Z * [new tag] v0.3.0 -> v0.3.0 2025-08-26T19:44:16.3895056Z * [new tag] v0.3.1 -> v0.3.1 2025-08-26T19:44:16.3895766Z * [new tag] v0.4.0 -> v0.4.0 2025-08-26T19:44:16.3896522Z * [new tag] v0.4.1 -> v0.4.1 2025-08-26T19:44:16.3897233Z * [new tag] v1.0.0 -> v1.0.0 2025-08-26T19:44:16.3898024Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-26T19:44:16.3898780Z * [new tag] v1.0.1 -> v1.0.1 2025-08-26T19:44:16.3899632Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-26T19:44:16.3900291Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-26T19:44:16.3900958Z * [new tag] v1.1.0 -> v1.1.0 2025-08-26T19:44:16.3901852Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-26T19:44:16.3902853Z * [new tag] v1.10.0 -> v1.10.0 2025-08-26T19:44:16.3903818Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-26T19:44:16.3904497Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-26T19:44:16.3905101Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-26T19:44:16.3906043Z * [new tag] v1.10.1 -> v1.10.1 2025-08-26T19:44:16.3906565Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-26T19:44:16.3907215Z * [new tag] v1.10.2 -> v1.10.2 2025-08-26T19:44:16.3907789Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-26T19:44:16.3908715Z * [new tag] v1.11.0 -> v1.11.0 2025-08-26T19:44:16.3909620Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-26T19:44:16.3910456Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-26T19:44:16.3911281Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-26T19:44:16.3912137Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-26T19:44:16.3913067Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-26T19:44:16.3913691Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-26T19:44:16.3914322Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-26T19:44:16.3915214Z * [new tag] v1.12.0 -> v1.12.0 2025-08-26T19:44:16.3915960Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-26T19:44:16.3916888Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-26T19:44:16.3917809Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-26T19:44:16.3918671Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-26T19:44:16.3919464Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-26T19:44:16.3920346Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-26T19:44:16.3921006Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-26T19:44:16.3921585Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-26T19:44:16.3922199Z * [new tag] v1.12.1 -> v1.12.1 2025-08-26T19:44:16.3923212Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-26T19:44:16.3923991Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-26T19:44:16.3924925Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-26T19:44:16.3925722Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-26T19:44:16.3926337Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-26T19:44:16.3927247Z * [new tag] v1.13.0 -> v1.13.0 2025-08-26T19:44:16.3927955Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-26T19:44:16.3928801Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-26T19:44:16.3929569Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-26T19:44:16.3930683Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-26T19:44:16.3931122Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-26T19:44:16.3931643Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-26T19:44:16.3932578Z * [new tag] v1.13.1 -> v1.13.1 2025-08-26T19:44:16.3933397Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-26T19:44:16.3934026Z * [new tag] v1.2.0 -> v1.2.0 2025-08-26T19:44:16.3934925Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-26T19:44:16.3935578Z * [new tag] v1.3.0 -> v1.3.0 2025-08-26T19:44:16.3936889Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-26T19:44:16.3937485Z * [new tag] v1.3.1 -> v1.3.1 2025-08-26T19:44:16.3938200Z * [new tag] v1.4.0 -> v1.4.0 2025-08-26T19:44:16.3939110Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-26T19:44:16.3939698Z * [new tag] v1.4.1 -> v1.4.1 2025-08-26T19:44:16.3940550Z * [new tag] v1.5.0 -> v1.5.0 2025-08-26T19:44:16.3941560Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-26T19:44:16.3943198Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-26T19:44:16.3944047Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-26T19:44:16.3945185Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-26T19:44:16.3946126Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-26T19:44:16.3947654Z * [new tag] v1.5.1 -> v1.5.1 2025-08-26T19:44:16.3948404Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-26T19:44:16.3949342Z * [new tag] v1.6.0 -> v1.6.0 2025-08-26T19:44:16.3950837Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-26T19:44:16.3952134Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-26T19:44:16.3953506Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-26T19:44:16.3954924Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-26T19:44:16.3956268Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-26T19:44:16.3957590Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-26T19:44:16.3958505Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-26T19:44:16.3959968Z * [new tag] v1.7.0 -> v1.7.0 2025-08-26T19:44:16.3961165Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-26T19:44:16.3962589Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-26T19:44:16.3963847Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-26T19:44:16.3964637Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-26T19:44:16.3966045Z * [new tag] v1.7.1 -> v1.7.1 2025-08-26T19:44:16.3967624Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-26T19:44:16.3968905Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-26T19:44:16.3969858Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-26T19:44:16.3971288Z * [new tag] v1.8.0 -> v1.8.0 2025-08-26T19:44:16.3972046Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-26T19:44:16.3973501Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-26T19:44:16.3974633Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-26T19:44:16.3975985Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-26T19:44:16.3976797Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-26T19:44:16.3977715Z * [new tag] v1.8.1 -> v1.8.1 2025-08-26T19:44:16.3979216Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-26T19:44:16.3979963Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-26T19:44:16.3981197Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-26T19:44:16.3983078Z * [new tag] v1.8.2 -> v1.8.2 2025-08-26T19:44:16.3983833Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-26T19:44:16.3985369Z * [new tag] v1.9.0 -> v1.9.0 2025-08-26T19:44:16.4002219Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-26T19:44:16.4002546Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-26T19:44:16.4002855Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-26T19:44:16.4003112Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-26T19:44:16.4003377Z * [new tag] v1.9.1 -> v1.9.1 2025-08-26T19:44:16.4003820Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-26T19:44:16.4004097Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-26T19:44:16.4004356Z * [new tag] v2.0.0 -> v2.0.0 2025-08-26T19:44:16.4004626Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-26T19:44:16.4004928Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-26T19:44:16.4005191Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-26T19:44:16.4005440Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-26T19:44:16.4005734Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-26T19:44:16.4005996Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-26T19:44:16.4006284Z * [new tag] v2.0.1 -> v2.0.1 2025-08-26T19:44:16.4006547Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-26T19:44:16.4006816Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-26T19:44:16.4007102Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-26T19:44:16.4007865Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-26T19:44:16.4010056Z * [new tag] v2.1.0 -> v2.1.0 2025-08-26T19:44:16.4011054Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-26T19:44:16.4013054Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-26T19:44:16.4014129Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-26T19:44:16.4015658Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-26T19:44:16.4016899Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-26T19:44:16.4017766Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-26T19:44:16.4019250Z * [new tag] v2.1.1 -> v2.1.1 2025-08-26T19:44:16.4020518Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-26T19:44:16.4021927Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-26T19:44:16.4023332Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-26T19:44:16.4024483Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-26T19:44:16.4025903Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-26T19:44:16.4026667Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-26T19:44:16.4028019Z * [new tag] v2.1.2 -> v2.1.2 2025-08-26T19:44:16.4029378Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-26T19:44:16.4030654Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-26T19:44:16.4031520Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-26T19:44:16.4033000Z * [new tag] v2.2.0 -> v2.2.0 2025-08-26T19:44:16.4034356Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-26T19:44:16.4035513Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-26T19:44:16.4036526Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-26T19:44:16.4037898Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-26T19:44:16.4038861Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-26T19:44:16.4040353Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-26T19:44:16.4040999Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-26T19:44:16.4041994Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-26T19:44:16.4043569Z * [new tag] v2.2.1 -> v2.2.1 2025-08-26T19:44:16.4044865Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-26T19:44:16.4045591Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-26T19:44:16.4046519Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-26T19:44:16.4047512Z * [new tag] v2.2.2 -> v2.2.2 2025-08-26T19:44:16.4049076Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-26T19:44:16.4049845Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-26T19:44:16.4050792Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-26T19:44:16.4052240Z * [new tag] v2.3.0 -> v2.3.0 2025-08-26T19:44:16.4053415Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-26T19:44:16.4058501Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-26T19:44:16.4058827Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-26T19:44:16.4059084Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-26T19:44:16.4059364Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-26T19:44:16.4059641Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-26T19:44:16.4060984Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-26T19:44:16.4062380Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-26T19:44:16.4063156Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-26T19:44:16.4064559Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-26T19:44:16.4065635Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-26T19:44:16.4066559Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-26T19:44:16.4067535Z * [new tag] v2.3.1 -> v2.3.1 2025-08-26T19:44:16.4069003Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-26T19:44:16.4070192Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-26T19:44:16.4071487Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-26T19:44:16.4072922Z * [new tag] v2.4.0 -> v2.4.0 2025-08-26T19:44:16.4074380Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-26T19:44:16.4075395Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-26T19:44:16.4076970Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-26T19:44:16.4077998Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-26T19:44:16.4079518Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-26T19:44:16.4081200Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-26T19:44:16.4082557Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-26T19:44:16.4083535Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-26T19:44:16.4085089Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-26T19:44:16.4085836Z * [new tag] v2.4.1 -> v2.4.1 2025-08-26T19:44:16.4087443Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-26T19:44:16.4088693Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-26T19:44:16.4090045Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-26T19:44:16.4091820Z * [new tag] v2.5.0 -> v2.5.0 2025-08-26T19:44:16.4092887Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-26T19:44:16.4094025Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-26T19:44:16.4095339Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-26T19:44:16.4096675Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-26T19:44:16.4097885Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-26T19:44:16.4099217Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-26T19:44:16.4100814Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-26T19:44:16.4101833Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-26T19:44:16.4103375Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-26T19:44:16.4104480Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-26T19:44:16.4105345Z * [new tag] v2.5.1 -> v2.5.1 2025-08-26T19:44:16.4106544Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-26T19:44:16.4107251Z * [new tag] v2.6.0 -> v2.6.0 2025-08-26T19:44:16.4108815Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-26T19:44:16.4110151Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-26T19:44:16.4111487Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-26T19:44:16.4112769Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-26T19:44:16.4114535Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-26T19:44:16.4115995Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-26T19:44:16.4117252Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-26T19:44:16.4118730Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-26T19:44:16.4120011Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-26T19:44:16.4121583Z * [new tag] v2.7.0 -> v2.7.0 2025-08-26T19:44:16.4122925Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-26T19:44:16.4123770Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-26T19:44:16.4125341Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-26T19:44:16.4126556Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-26T19:44:16.4128009Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-26T19:44:16.4129288Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-26T19:44:16.4130523Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-26T19:44:16.4131892Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-26T19:44:16.4133240Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-26T19:44:16.4134762Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-26T19:44:16.4135516Z * [new tag] v2.7.1 -> v2.7.1 2025-08-26T19:44:16.4137097Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-26T19:44:16.4138395Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-26T19:44:16.4139808Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-26T19:44:16.4141131Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-26T19:44:16.4142610Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-26T19:44:16.4143467Z * [new tag] v2.8.0 -> v2.8.0 2025-08-26T19:44:16.4144992Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-26T19:44:16.4146052Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-26T19:44:16.4147599Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-26T19:44:16.4149000Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-26T19:44:16.4150232Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-26T19:44:16.4151709Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-26T19:44:16.4152962Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-26T19:44:16.4154456Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-26T19:44:16.4155697Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-26T19:44:16.4156828Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-26T19:44:16.4158167Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-26T19:44:16.4725731Z [command]/usr/bin/git rev-parse --verify --quiet 262640fd220236042fbf4443cc163c8838c84c3d^{object} 2025-08-26T19:44:16.4747369Z 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:44:16.4751853Z ##[endgroup] 2025-08-26T19:44:16.4752348Z ##[group]Determining the checkout info 2025-08-26T19:44:16.4753340Z ##[endgroup] 2025-08-26T19:44:16.4758002Z [command]/usr/bin/git sparse-checkout disable 2025-08-26T19:44:16.4787125Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-26T19:44:16.4809918Z ##[group]Checking out the ref 2025-08-26T19:44:16.4813896Z [command]/usr/bin/git checkout --progress --force 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:44:17.5040865Z Updating files: 87% (17043/19395) 2025-08-26T19:44:17.5146907Z Updating files: 88% (17068/19395) 2025-08-26T19:44:17.5265988Z Updating files: 89% (17262/19395) 2025-08-26T19:44:17.5423105Z Updating files: 90% (17456/19395) 2025-08-26T19:44:17.5540900Z Updating files: 91% (17650/19395) 2025-08-26T19:44:17.5662747Z Updating files: 92% (17844/19395) 2025-08-26T19:44:17.5836821Z Updating files: 93% (18038/19395) 2025-08-26T19:44:17.6021034Z Updating files: 94% (18232/19395) 2025-08-26T19:44:17.6189242Z Updating files: 95% (18426/19395) 2025-08-26T19:44:17.6328724Z Updating files: 96% (18620/19395) 2025-08-26T19:44:17.6502286Z Updating files: 97% (18814/19395) 2025-08-26T19:44:17.6739897Z Updating files: 98% (19008/19395) 2025-08-26T19:44:17.6882889Z Updating files: 99% (19202/19395) 2025-08-26T19:44:17.6883486Z Updating files: 100% (19395/19395) 2025-08-26T19:44:17.6884117Z Updating files: 100% (19395/19395), done. 2025-08-26T19:44:17.7147146Z Note: switching to '262640fd220236042fbf4443cc163c8838c84c3d'. 2025-08-26T19:44:17.7147758Z 2025-08-26T19:44:17.7148082Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-26T19:44:17.7148650Z changes and commit them, and you can discard any commits you make in this 2025-08-26T19:44:17.7149223Z state without impacting any branches by switching back to a branch. 2025-08-26T19:44:17.7149570Z 2025-08-26T19:44:17.7149783Z If you want to create a new branch to retain commits you create, you may 2025-08-26T19:44:17.7150324Z do so (now or later) by using -c with the switch command. Example: 2025-08-26T19:44:17.7150623Z 2025-08-26T19:44:17.7150750Z git switch -c 2025-08-26T19:44:17.7150953Z 2025-08-26T19:44:17.7151062Z Or undo this operation with: 2025-08-26T19:44:17.7151260Z 2025-08-26T19:44:17.7151352Z git switch - 2025-08-26T19:44:17.7151507Z 2025-08-26T19:44:17.7151748Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-26T19:44:17.7152108Z 2025-08-26T19:44:17.7152359Z HEAD is now at 262640fd220 [ROCm][CI] restore test_flex_attention tests (#161519) 2025-08-26T19:44:17.7213833Z ##[endgroup] 2025-08-26T19:44:17.7214412Z ##[group]Setting up auth for fetching submodules 2025-08-26T19:44:17.7219988Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-26T19:44:17.7266146Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-26T19:44:17.7291006Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-26T19:44:17.7315709Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-26T19:44:17.7335906Z ##[endgroup] 2025-08-26T19:44:17.7336323Z ##[group]Fetching submodules 2025-08-26T19:44:17.7339114Z [command]/usr/bin/git submodule sync --recursive 2025-08-26T19:44:17.7619385Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-26T19:44:17.7894822Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-26T19:44:17.7896282Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-26T19:44:17.7899360Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-26T19:44:17.7902491Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-26T19:44:17.8248822Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-26T19:44:17.8251831Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-26T19:44:17.8255271Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-26T19:44:17.8258858Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-26T19:44:17.8262245Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-26T19:44:17.8266324Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-26T19:44:17.8269995Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-26T19:44:17.8273825Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-26T19:44:17.8289824Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-26T19:44:17.8293686Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-26T19:44:17.8297751Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-26T19:44:17.8302766Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-26T19:44:17.8307045Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-26T19:44:17.8311250Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-26T19:44:17.8315922Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-26T19:44:17.8320348Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-26T19:44:17.8326550Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-26T19:44:17.8331289Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-26T19:44:17.8347617Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-26T19:44:17.8352620Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-26T19:44:17.8359423Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-26T19:44:17.8364247Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-26T19:44:17.8369323Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-26T19:44:17.8374521Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-26T19:44:17.8380113Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-26T19:44:17.8385339Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-26T19:44:17.8390885Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-26T19:44:17.8408506Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-26T19:44:17.8414279Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-26T19:44:17.8419998Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-26T19:44:17.8425938Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-26T19:44:17.8431842Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-26T19:44:17.8438087Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-26T19:44:17.8468823Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-26T19:44:18.0726184Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-26T19:44:18.0727598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-26T19:44:18.0762750Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-26T19:44:27.5688056Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-26T19:44:27.5689632Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-26T19:44:27.5691010Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-26T19:44:27.5692383Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-26T19:44:27.5694073Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-26T19:44:27.5695713Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-26T19:44:27.5697589Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-26T19:44:27.5699346Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-26T19:44:27.5701307Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-26T19:44:27.5702820Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-26T19:44:27.5704441Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-26T19:44:27.5706054Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-26T19:44:27.5707938Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-26T19:44:27.5710153Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-26T19:44:27.5711890Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-26T19:44:27.5713746Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-26T19:44:27.5715476Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-26T19:44:27.5717178Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-26T19:44:27.5978044Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-26T19:44:27.8671896Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-26T19:44:56.5601914Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-26T19:44:56.5603412Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-26T19:44:56.5604856Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-26T19:44:56.5606334Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-26T19:44:56.5657464Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-26T19:44:56.5659063Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-26T19:44:56.5660618Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-26T19:44:56.5662061Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-26T19:44:56.5663485Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-26T19:44:56.5664887Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-26T19:44:56.5666327Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-26T19:44:56.6603202Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-26T19:44:58.3844038Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-26T19:44:58.3994976Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-26T19:44:58.4111052Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-26T19:44:58.4198148Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-26T19:44:58.4433710Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-26T19:44:58.5188103Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-26T19:44:58.5749966Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-26T19:44:59.2926269Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-26T19:44:59.4469927Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-26T19:44:59.4487974Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T19:44:59.4512604Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-26T19:45:03.4624405Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-26T19:45:03.4854420Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-26T19:45:03.7996264Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-26T19:45:03.8540023Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-26T19:45:03.9503640Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-26T19:45:03.9926157Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-26T19:45:04.6111309Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-26T19:45:04.7489618Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-26T19:45:04.7508398Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-26T19:45:04.7510805Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-26T19:45:04.7513069Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-26T19:45:04.7515579Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-26T19:45:04.7518157Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-26T19:45:04.7520936Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-26T19:45:04.7523502Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-26T19:45:04.7550363Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-26T19:45:06.6513178Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-26T19:45:06.6515468Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-26T19:45:06.7514534Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-26T19:45:06.9508447Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-26T19:45:07.0509594Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-26T19:45:07.8924865Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-26T19:45:13.6686455Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-26T19:45:13.9224694Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-26T19:45:14.0210132Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-26T19:45:14.6204929Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-26T19:45:14.6663139Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-26T19:45:14.6774109Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-26T19:45:14.7777673Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-26T19:45:14.8451626Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-26T19:45:14.8469860Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T19:45:14.8471747Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-26T19:45:14.8497826Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-26T19:45:18.8552586Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-26T19:45:19.0891586Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-26T19:45:19.6446563Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-26T19:45:19.7796279Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-26T19:45:19.8132826Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-26T19:45:19.8526114Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-26T19:45:19.8767294Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-26T19:45:19.9209917Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-26T19:45:19.9332730Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-26T19:45:19.9347706Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-26T19:45:19.9370661Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-26T19:45:33.3863521Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-26T19:45:33.4053141Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-26T19:45:33.4920749Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-26T19:45:33.4938890Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T19:45:33.4940582Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T19:45:33.4943273Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T19:45:33.4969167Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-26T19:45:34.3419058Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-26T19:45:35.6934138Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-26T19:45:35.7763277Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-26T19:45:35.7778856Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T19:45:35.7781628Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T19:45:35.7784000Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T19:45:35.7786669Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T19:45:35.7789202Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T19:45:35.7792603Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T19:45:35.7794991Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T19:45:35.7797895Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T19:45:35.7825372Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-26T19:45:37.8830870Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-26T19:45:37.8833223Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-26T19:45:37.8835645Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-26T19:45:37.8837920Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-26T19:45:37.8840338Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-26T19:45:37.9832516Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-26T19:45:38.2555277Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-26T19:45:44.8060017Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-26T19:45:44.8232017Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-26T19:45:44.8592565Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-26T19:45:44.8724610Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-26T19:45:44.8738805Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T19:45:44.8763059Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-26T19:45:45.1925759Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-26T19:45:45.2107700Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-26T19:45:45.2508853Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-26T19:45:45.3487616Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-26T19:45:45.3647875Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-26T19:45:45.4031785Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-26T19:45:45.4614811Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-26T19:45:45.5032883Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-26T19:45:45.5406699Z Submodule path 'third_party/mimalloc': 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'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T19:45:47.2202907Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T19:45:47.2205143Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T19:45:47.2207622Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T19:45:47.2210476Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T19:45:47.2212977Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T19:45:47.2215540Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T19:45:47.2218186Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T19:45:47.2245203Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-26T19:45:47.8350746Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-26T19:45:47.8353010Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-26T19:45:47.8355565Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-26T19:45:47.8357672Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-26T19:45:47.9351938Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-26T19:45:48.8570749Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-26T19:45:58.7500334Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-26T19:45:58.7687261Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-26T19:45:58.8263403Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-26T19:45:58.8427940Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out 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2025-08-26T19:46:06.6379789Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-08-26T19:46:06.6653626Z Entering 'android/libs/fbjni' 2025-08-26T19:46:06.6701838Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-08-26T19:46:06.6717656Z Entering 'third_party/FP16' 2025-08-26T19:46:06.6766075Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-08-26T19:46:06.6781824Z Entering 'third_party/FXdiv' 2025-08-26T19:46:06.6829884Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-08-26T19:46:06.6845453Z Entering 'third_party/NNPACK' 2025-08-26T19:46:06.6894288Z 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2025-08-26T19:46:07.4480809Z Entering 'third_party/mimalloc' 2025-08-26T19:46:07.4519184Z Entering 'third_party/nlohmann' 2025-08-26T19:46:07.4560764Z Entering 'third_party/onnx' 2025-08-26T19:46:07.4618141Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T19:46:07.4659581Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T19:46:07.4701251Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T19:46:07.4738141Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T19:46:07.4775920Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T19:46:07.4812690Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T19:46:07.4850949Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T19:46:07.4888516Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T19:46:07.4924914Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T19:46:07.4962341Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T19:46:07.5001776Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T19:46:07.5039933Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T19:46:07.5097645Z Entering 'third_party/pocketfft' 2025-08-26T19:46:07.5137171Z Entering 'third_party/protobuf' 2025-08-26T19:46:07.5179835Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T19:46:07.5218024Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T19:46:07.5257559Z Entering 'third_party/psimd' 2025-08-26T19:46:07.5296191Z Entering 'third_party/pthreadpool' 2025-08-26T19:46:07.5334031Z Entering 'third_party/pybind11' 2025-08-26T19:46:07.5373124Z Entering 'third_party/python-peachpy' 2025-08-26T19:46:07.5411630Z Entering 'third_party/sleef' 2025-08-26T19:46:07.5449708Z Entering 'third_party/tensorpipe' 2025-08-26T19:46:07.5488537Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T19:46:07.5525638Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T19:46:07.5562912Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T19:46:07.5600365Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T19:46:07.5636211Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T19:46:07.5688620Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-26T19:46:07.5966205Z Entering 'android/libs/fbjni' 2025-08-26T19:46:07.6004974Z Entering 'third_party/FP16' 2025-08-26T19:46:07.6043304Z Entering 'third_party/FXdiv' 2025-08-26T19:46:07.6082377Z Entering 'third_party/NNPACK' 2025-08-26T19:46:07.6121127Z Entering 'third_party/NVTX' 2025-08-26T19:46:07.6161253Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T19:46:07.6200317Z Entering 'third_party/XNNPACK' 2025-08-26T19:46:07.6280220Z Entering 'third_party/aiter' 2025-08-26T19:46:07.6321038Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T19:46:07.6369228Z Entering 'third_party/benchmark' 2025-08-26T19:46:07.6408456Z Entering 'third_party/composable_kernel' 2025-08-26T19:46:07.6454820Z Entering 'third_party/cpp-httplib' 2025-08-26T19:46:07.6493905Z Entering 'third_party/cpuinfo' 2025-08-26T19:46:07.6533292Z Entering 'third_party/cudnn_frontend' 2025-08-26T19:46:07.6573255Z Entering 'third_party/cutlass' 2025-08-26T19:46:07.6621442Z Entering 'third_party/fbgemm' 2025-08-26T19:46:07.6663083Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-26T19:46:07.6700716Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-26T19:46:07.6745321Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-26T19:46:07.6784376Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-26T19:46:07.6830374Z Entering 'third_party/fbgemm/external/googletest' 2025-08-26T19:46:07.6867569Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-26T19:46:07.6904448Z Entering 'third_party/fbgemm/external/json' 2025-08-26T19:46:07.6944420Z Entering 'third_party/flash-attention' 2025-08-26T19:46:07.6985222Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T19:46:07.7028924Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T19:46:07.7077078Z Entering 'third_party/flatbuffers' 2025-08-26T19:46:07.7119057Z Entering 'third_party/fmt' 2025-08-26T19:46:07.7158191Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T19:46:07.7197156Z Entering 'third_party/gloo' 2025-08-26T19:46:07.7235090Z Entering 'third_party/googletest' 2025-08-26T19:46:07.7274227Z Entering 'third_party/ideep' 2025-08-26T19:46:07.7313754Z Entering 'third_party/ideep/mkl-dnn' 2025-08-26T19:46:07.7359960Z Entering 'third_party/ittapi' 2025-08-26T19:46:07.7398537Z Entering 'third_party/kineto' 2025-08-26T19:46:07.7436902Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T19:46:07.7474739Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T19:46:07.7513468Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T19:46:07.7551727Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T19:46:07.7590505Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T19:46:07.7627099Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T19:46:07.7666365Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T19:46:07.7703603Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T19:46:07.7740943Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T19:46:07.7780105Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T19:46:07.7819130Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T19:46:07.7858168Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T19:46:07.7896371Z Entering 'third_party/kleidiai' 2025-08-26T19:46:07.7936730Z Entering 'third_party/mimalloc' 2025-08-26T19:46:07.7976705Z Entering 'third_party/nlohmann' 2025-08-26T19:46:07.8017949Z Entering 'third_party/onnx' 2025-08-26T19:46:07.8073847Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T19:46:07.8113996Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T19:46:07.8156276Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T19:46:07.8192543Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T19:46:07.8229434Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T19:46:07.8266105Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T19:46:07.8304891Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T19:46:07.8341852Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T19:46:07.8378825Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T19:46:07.8415376Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T19:46:07.8455988Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T19:46:07.8495281Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T19:46:07.8552278Z Entering 'third_party/pocketfft' 2025-08-26T19:46:07.8591056Z Entering 'third_party/protobuf' 2025-08-26T19:46:07.8632245Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T19:46:07.8669482Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T19:46:07.8707838Z Entering 'third_party/psimd' 2025-08-26T19:46:07.8745640Z Entering 'third_party/pthreadpool' 2025-08-26T19:46:07.8783977Z Entering 'third_party/pybind11' 2025-08-26T19:46:07.8821918Z Entering 'third_party/python-peachpy' 2025-08-26T19:46:07.8860379Z Entering 'third_party/sleef' 2025-08-26T19:46:07.8898800Z Entering 'third_party/tensorpipe' 2025-08-26T19:46:07.8937457Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T19:46:07.8975386Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T19:46:07.9011804Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T19:46:07.9048551Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T19:46:07.9087361Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T19:46:07.9137925Z ##[endgroup] 2025-08-26T19:46:07.9170853Z [command]/usr/bin/git log -1 --format=%H 2025-08-26T19:46:07.9190574Z 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:46:07.9379140Z Prepare all required actions 2025-08-26T19:46:07.9379711Z Getting action download info 2025-08-26T19:46:08.0816776Z ##[group]Run ./.github/actions/setup-linux 2025-08-26T19:46:08.0817120Z env: 2025-08-26T19:46:08.0817351Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:08.0817615Z ##[endgroup] 2025-08-26T19:46:08.0865781Z ##[group]Run set -euo pipefail 2025-08-26T19:46:08.0866153Z set -euo pipefail 2025-08-26T19:46:08.0866468Z function get_ec2_metadata() { 2025-08-26T19:46:08.0866854Z  # Pulled from instance metadata endpoint for EC2 2025-08-26T19:46:08.0867513Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-26T19:46:08.0868098Z  category=$1 2025-08-26T19:46:08.0868474Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-26T19:46:08.0868914Z  runner_name_str=i-003c9750a81c1c7a9 2025-08-26T19:46:08.0869458Z  if [[ -f /.inarc ]]; then 2025-08-26T19:46:08.0869829Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-26T19:46:08.0870223Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-26T19:46:08.0870716Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-26T19:46:08.0871168Z  else 2025-08-26T19:46:08.0872061Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-08-26T19:46:08.0873012Z  fi 2025-08-26T19:46:08.0873320Z } 2025-08-26T19:46:08.0873602Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-26T19:46:08.0874055Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-26T19:46:08.0874560Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-26T19:46:08.0874991Z echo "system info $(uname -a)" 2025-08-26T19:46:08.0882952Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:46:08.0883350Z env: 2025-08-26T19:46:08.0883580Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:08.0883840Z ##[endgroup] 2025-08-26T19:46:08.1025046Z ami-id: ami-05ffe3c48a9991133 2025-08-26T19:46:08.1119637Z instance-id: i-003c9750a81c1c7a9 2025-08-26T19:46:08.1211175Z instance-type: c5.2xlarge 2025-08-26T19:46:08.1220758Z system info Linux ip-10-1-2-235.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-26T19:46:08.1249956Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T19:46:08.1250957Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T19:46:08.1257277Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:46:08.1257711Z env: 2025-08-26T19:46:08.1257925Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:08.1258206Z ##[endgroup] 2025-08-26T19:46:08.1314902Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-26T19:46:08.1315376Z if systemctl is-active --quiet docker; then 2025-08-26T19:46:08.1315765Z  echo "Docker daemon is running..."; 2025-08-26T19:46:08.1316110Z else 2025-08-26T19:46:08.1316481Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-26T19:46:08.1316929Z fi 2025-08-26T19:46:08.1322154Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:46:08.1322545Z env: 2025-08-26T19:46:08.1322771Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:08.1323042Z ##[endgroup] 2025-08-26T19:46:08.1393902Z Docker daemon is running... 2025-08-26T19:46:08.1439669Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-26T19:46:08.1439995Z with: 2025-08-26T19:46:08.1440218Z shell: bash 2025-08-26T19:46:08.1440617Z timeout_minutes: 5 2025-08-26T19:46:08.1440879Z max_attempts: 3 2025-08-26T19:46:08.1441133Z retry_wait_seconds: 30 2025-08-26T19:46:08.1443519Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-08-26T19:46:08.1445921Z polling_interval_seconds: 1 2025-08-26T19:46:08.1446223Z warning_on_retry: true 2025-08-26T19:46:08.1446502Z continue_on_error: false 2025-08-26T19:46:08.1446858Z env: 2025-08-26T19:46:08.1447084Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:08.1447364Z AWS_RETRY_MODE: standard 2025-08-26T19:46:08.1447622Z AWS_MAX_ATTEMPTS: 5 2025-08-26T19:46:08.1447891Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T19:46:08.1448175Z ##[endgroup] 2025-08-26T19:46:09.2856759Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T19:46:09.2857566Z Configure a credential helper to remove this warning. See 2025-08-26T19:46:09.2858172Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T19:46:09.2858575Z 2025-08-26T19:46:09.2858700Z Login Succeeded 2025-08-26T19:46:09.8140257Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T19:46:09.8141078Z Configure a credential helper to remove this warning. See 2025-08-26T19:46:09.8142091Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T19:46:09.8142507Z 2025-08-26T19:46:09.8142628Z Login Succeeded 2025-08-26T19:46:10.2257100Z Command completed after 1 attempt(s). 2025-08-26T19:46:10.2352394Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T19:46:10.2352951Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T19:46:10.2353543Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T19:46:10.2360251Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:46:10.2360650Z env: 2025-08-26T19:46:10.2360868Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:10.2361143Z ##[endgroup] 2025-08-26T19:46:10.2456489Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T19:46:10.2457090Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T19:46:10.2457546Z # shellcheck disable=SC2046 2025-08-26T19:46:10.2457906Z docker stop $(docker ps -q) || true 2025-08-26T19:46:10.2458258Z # Prune all of the docker images 2025-08-26T19:46:10.2458644Z docker system prune -af 2025-08-26T19:46:10.2464043Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:46:10.2464446Z env: 2025-08-26T19:46:10.2464667Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:10.2464948Z ##[endgroup] 2025-08-26T19:46:10.2700762Z "docker stop" requires at least 1 argument. 2025-08-26T19:46:10.2701254Z See 'docker stop --help'. 2025-08-26T19:46:10.2701436Z 2025-08-26T19:46:10.2701619Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-26T19:46:10.2701897Z 2025-08-26T19:46:10.2702023Z Stop one or more running containers 2025-08-26T19:46:10.2884119Z Total reclaimed space: 0B 2025-08-26T19:46:10.2923668Z ##[group]Run set +e 2025-08-26T19:46:10.2923975Z set +e 2025-08-26T19:46:10.2924220Z set -x 2025-08-26T19:46:10.2924451Z  2025-08-26T19:46:10.2924708Z PT_DOMAIN=download.pytorch.org 2025-08-26T19:46:10.2925301Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-26T19:46:10.2926252Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-26T19:46:10.2926811Z # one is returned at random 2025-08-26T19:46:10.2927222Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-26T19:46:10.2927604Z  2025-08-26T19:46:10.2927849Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-26T19:46:10.2928301Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-26T19:46:10.2928854Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-26T19:46:10.2929272Z  2025-08-26T19:46:10.2929506Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-26T19:46:10.2929914Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-26T19:46:10.2930430Z  exit 1 2025-08-26T19:46:10.2930674Z  fi 2025-08-26T19:46:10.2930886Z fi 2025-08-26T19:46:10.2931212Z  2025-08-26T19:46:10.2931489Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-26T19:46:10.2931890Z  # Clean up any old records first 2025-08-26T19:46:10.2932254Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-26T19:46:10.2932603Z fi 2025-08-26T19:46:10.2932825Z  2025-08-26T19:46:10.2933150Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-26T19:46:10.2933553Z cat /etc/hosts 2025-08-26T19:46:10.2939338Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:46:10.2939742Z env: 2025-08-26T19:46:10.2939976Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:10.2940256Z ##[endgroup] 2025-08-26T19:46:10.2964091Z + PT_DOMAIN=download.pytorch.org 2025-08-26T19:46:10.2969221Z ++ dig -4 +short download.pytorch.org 2025-08-26T19:46:10.2970122Z ++ tail -n1 2025-08-26T19:46:10.3368536Z + RESOLVED_IP=18.160.10.36 2025-08-26T19:46:10.3368877Z + '[' -z 18.160.10.36 ']' 2025-08-26T19:46:10.3369219Z + grep -r download.pytorch.org /etc/hosts 2025-08-26T19:46:10.3382457Z + echo '18.160.10.36 download.pytorch.org' 2025-08-26T19:46:10.3383400Z + sudo tee -a /etc/hosts 2025-08-26T19:46:10.6687893Z 18.160.10.36 download.pytorch.org 2025-08-26T19:46:10.6705239Z + cat /etc/hosts 2025-08-26T19:46:10.6715711Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-26T19:46:10.6721909Z ::1 localhost6 localhost6.localdomain6 2025-08-26T19:46:10.6722308Z 18.160.10.36 download.pytorch.org 2025-08-26T19:46:10.6901170Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-26T19:46:10.6901651Z with: 2025-08-26T19:46:10.6902418Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:10.6903295Z use-custom-docker-registry: true 2025-08-26T19:46:10.6903632Z docker-build-dir: .ci/docker 2025-08-26T19:46:10.6903966Z docker-build-script: ./build.sh 2025-08-26T19:46:10.6904270Z working-directory: . 2025-08-26T19:46:10.6904643Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:46:10.6905063Z force-push: false 2025-08-26T19:46:10.6905311Z env: 2025-08-26T19:46:10.6905521Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:10.6905799Z ##[endgroup] 2025-08-26T19:46:10.6934449Z ##[group]Run set -ex 2025-08-26T19:46:10.6934770Z set -ex 2025-08-26T19:46:10.6935008Z  2025-08-26T19:46:10.6935460Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-26T19:46:10.6936158Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-26T19:46:10.6936738Z # job could then download the pre-built image as usual 2025-08-26T19:46:10.6937460Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-26T19:46:10.6938150Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-26T19:46:10.6938495Z else 2025-08-26T19:46:10.6938767Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-26T19:46:10.6939217Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:46:10.6939642Z  2025-08-26T19:46:10.6940221Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-26T19:46:10.6940895Z  exit 0 2025-08-26T19:46:10.6941141Z fi 2025-08-26T19:46:10.6941386Z  2025-08-26T19:46:10.6941740Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-26T19:46:10.6942366Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-26T19:46:10.6942929Z  # use it as it is, but first let's extract the tag 2025-08-26T19:46:10.6943560Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-26T19:46:10.6944091Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:46:10.6944604Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:46:10.6945031Z else 2025-08-26T19:46:10.6945310Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-26T19:46:10.6945697Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-26T19:46:10.6946114Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-26T19:46:10.6946470Z  fi 2025-08-26T19:46:10.6946946Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-26T19:46:10.6947570Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:46:10.6948238Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:46:10.6948976Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:46:10.6949426Z fi 2025-08-26T19:46:10.6957356Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:46:10.6957746Z env: 2025-08-26T19:46:10.6957982Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:10.6958270Z REPO_NAME: pytorch 2025-08-26T19:46:10.6959208Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:10.6960066Z DOCKER_BUILD_DIR: .ci/docker 2025-08-26T19:46:10.6960360Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-26T19:46:10.6960760Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:46:10.6961194Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-26T19:46:10.6961508Z CUSTOM_TAG_PREFIX: 2025-08-26T19:46:10.6961749Z ##[endgroup] 2025-08-26T19:46:10.6985774Z + [[ -d .ci/docker ]] 2025-08-26T19:46:10.6986069Z + [[ -f .ci/docker/./build.sh ]] 2025-08-26T19:46:10.6986379Z + [[ true == \t\r\u\e ]] 2025-08-26T19:46:10.6986762Z + echo skip=false 2025-08-26T19:46:10.6987785Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-08-26T19:46:10.6992888Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:10.6993786Z ++ awk -F '[:,]' '{print $2}' 2025-08-26T19:46:10.7012912Z + DOCKER_TAG=pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:10.7013734Z + echo docker-tag=pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:10.7014981Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:10.7046975Z ##[group]Run set +e 2025-08-26T19:46:10.7047293Z set +e 2025-08-26T19:46:10.7047552Z set -x 2025-08-26T19:46:10.7047790Z  2025-08-26T19:46:10.7048000Z login() { 2025-08-26T19:46:10.7048497Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-26T19:46:10.7049059Z } 2025-08-26T19:46:10.7049282Z  2025-08-26T19:46:10.7049499Z retry () { 2025-08-26T19:46:10.7049789Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-26T19:46:10.7050124Z } 2025-08-26T19:46:10.7050347Z  2025-08-26T19:46:10.7050578Z retry login "${DOCKER_REGISTRY}" 2025-08-26T19:46:10.7050905Z  2025-08-26T19:46:10.7051139Z START_TIME=$(date +%s) 2025-08-26T19:46:10.7051488Z # Wait up to 120 minutes 2025-08-26T19:46:10.7051906Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-26T19:46:10.7052558Z  # Check if image already exists, if it does then skip building it 2025-08-26T19:46:10.7053075Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-26T19:46:10.7053456Z  exit 0 2025-08-26T19:46:10.7053706Z  fi 2025-08-26T19:46:10.7053916Z  2025-08-26T19:46:10.7054317Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-26T19:46:10.7055232Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-26T19:46:10.7055926Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-26T19:46:10.7056457Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-26T19:46:10.7056873Z  # It's a Docker build job, let's build the image 2025-08-26T19:46:10.7057235Z  break 2025-08-26T19:46:10.7057482Z  else 2025-08-26T19:46:10.7057842Z  # It's a regular build job, wait for the image to become available 2025-08-26T19:46:10.7058257Z  sleep 300 2025-08-26T19:46:10.7058515Z  fi 2025-08-26T19:46:10.7058741Z done 2025-08-26T19:46:10.7058965Z  2025-08-26T19:46:10.7059317Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-26T19:46:10.7059915Z # be empty. The default action would be to continue rebuild the image 2025-08-26T19:46:10.7060548Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-26T19:46:10.7061028Z  # if we're on the base branch then use the parent commit 2025-08-26T19:46:10.7061436Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-26T19:46:10.7061768Z else 2025-08-26T19:46:10.7062114Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-26T19:46:10.7062610Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-26T19:46:10.7062994Z fi 2025-08-26T19:46:10.7063200Z  2025-08-26T19:46:10.7063466Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-26T19:46:10.7063839Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-26T19:46:10.7064184Z  2025-08-26T19:46:10.7064664Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-26T19:46:10.7065239Z  exit 0 2025-08-26T19:46:10.7065473Z fi 2025-08-26T19:46:10.7065698Z  2025-08-26T19:46:10.7066008Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-26T19:46:10.7066716Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-26T19:46:10.7067330Z  exit 1 2025-08-26T19:46:10.7067565Z fi 2025-08-26T19:46:10.7067782Z  2025-08-26T19:46:10.7068144Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-26T19:46:10.7068832Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-26T19:46:10.7069446Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-26T19:46:10.7070156Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-26T19:46:10.7070957Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-26T19:46:10.7071424Z fi 2025-08-26T19:46:10.7071642Z  2025-08-26T19:46:10.7071912Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-26T19:46:10.7077476Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:46:10.7077853Z env: 2025-08-26T19:46:10.7078078Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:10.7078367Z DOCKER_BUILD_DIR: .ci/docker 2025-08-26T19:46:10.7078720Z BASE_REVISION: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:46:10.7079702Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:10.7080731Z DOCKER_TAG: pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:10.7081371Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:46:10.7081777Z DOCKER_PUSH: 2025-08-26T19:46:10.7082012Z ##[endgroup] 2025-08-26T19:46:10.7103860Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:46:10.7104322Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:46:10.7106606Z + aws ecr get-login-password --region us-east-1 2025-08-26T19:46:10.7108129Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:46:11.2313365Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T19:46:11.2314038Z Configure a credential helper to remove this warning. See 2025-08-26T19:46:11.2314638Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T19:46:11.2315224Z 2025-08-26T19:46:11.2315512Z Login Succeeded 2025-08-26T19:46:11.2328502Z ++ date +%s 2025-08-26T19:46:11.2337271Z + START_TIME=1756237571 2025-08-26T19:46:11.2340584Z ++ date +%s 2025-08-26T19:46:11.2348429Z + [[ 1756230371 -lt 1756237571 ]] 2025-08-26T19:46:11.2349564Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:11.4493665Z { 2025-08-26T19:46:11.4494089Z "schemaVersion": 2, 2025-08-26T19:46:11.4494680Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-26T19:46:11.4495292Z "config": { 2025-08-26T19:46:11.4495859Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-26T19:46:11.4496391Z "size": 29883, 2025-08-26T19:46:11.4496857Z "digest": "sha256:bcfee952306a7e44650613e1b9a4dc8a749cc45f82748f17141360b84d5c4b94" 2025-08-26T19:46:11.4497346Z }, 2025-08-26T19:46:11.4497540Z "layers": [ 2025-08-26T19:46:11.4497819Z { 2025-08-26T19:46:11.4498329Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4498776Z "size": 30448173, 2025-08-26T19:46:11.4499524Z "digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495" 2025-08-26T19:46:11.4500270Z }, 2025-08-26T19:46:11.4500480Z { 2025-08-26T19:46:11.4500834Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4501250Z "size": 1554, 2025-08-26T19:46:11.4501674Z "digest": "sha256:bc6828dc3a67bd1a0f7dc77dd5b628363201b20ed5e62b20b10984b773009991" 2025-08-26T19:46:11.4502162Z }, 2025-08-26T19:46:11.4502376Z { 2025-08-26T19:46:11.4502793Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4503226Z "size": 344953099, 2025-08-26T19:46:11.4503676Z "digest": "sha256:077c5ccf8634c7f0028234842674c21eb81df6eefca3bc64667b986f7b2d5bf6" 2025-08-26T19:46:11.4504218Z }, 2025-08-26T19:46:11.4504402Z { 2025-08-26T19:46:11.4504739Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4505167Z "size": 791, 2025-08-26T19:46:11.4505588Z "digest": "sha256:c4b66cb3e1458a047d25f65267cd75101a856b69bf7f0e4cf3ab0f5170b80d21" 2025-08-26T19:46:11.4506057Z }, 2025-08-26T19:46:11.4506258Z { 2025-08-26T19:46:11.4506599Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4507029Z "size": 63270193, 2025-08-26T19:46:11.4507444Z "digest": "sha256:be2351a8a9e1090a6c189ac5ab7f9129fcd11333aae23d65624537890b2c5759" 2025-08-26T19:46:11.4507929Z }, 2025-08-26T19:46:11.4508125Z { 2025-08-26T19:46:11.4508463Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4508873Z "size": 704, 2025-08-26T19:46:11.4509292Z "digest": "sha256:ac0275b0c50249be92f01cc4af6e523f5d9836efbd51a5c46e35e6456bbe6aca" 2025-08-26T19:46:11.4510051Z }, 2025-08-26T19:46:11.4510251Z { 2025-08-26T19:46:11.4510573Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4511391Z "size": 1216, 2025-08-26T19:46:11.4512178Z "digest": "sha256:12a376ecda848fc1fe7dfeb7f5d35e5e9091bf1e384ed9f80970b282404a05d8" 2025-08-26T19:46:11.4512765Z }, 2025-08-26T19:46:11.4512950Z { 2025-08-26T19:46:11.4513469Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4513961Z "size": 485, 2025-08-26T19:46:11.4514388Z "digest": "sha256:ab2a2f72897faf2d13f1cbae8106c9f855813fbe992743f91e07f038b0756a48" 2025-08-26T19:46:11.4514864Z }, 2025-08-26T19:46:11.4515165Z + exit 0 2025-08-26T19:46:11.4515377Z { 2025-08-26T19:46:11.4515712Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4516142Z "size": 110, 2025-08-26T19:46:11.4516546Z "digest": 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"sha256:13792f6142bb7a1ef0a78094cc19143b3302ac9aec9b5b76d8714461dbaec2f7" 2025-08-26T19:46:11.4522953Z }, 2025-08-26T19:46:11.4523157Z { 2025-08-26T19:46:11.4523482Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4523917Z "size": 543, 2025-08-26T19:46:11.4524329Z "digest": "sha256:3926b9c5c75770c2130307a795639924b8f840d9db2c4241e6998a0e61b90cc8" 2025-08-26T19:46:11.4524811Z }, 2025-08-26T19:46:11.4525000Z { 2025-08-26T19:46:11.4525340Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4525783Z "size": 3406041060, 2025-08-26T19:46:11.4526229Z "digest": "sha256:d6ab61cb07e7224b31187c48d8349900f6065a2b9f9cba19bfd0e2cdc24de159" 2025-08-26T19:46:11.4526705Z }, 2025-08-26T19:46:11.4526906Z { 2025-08-26T19:46:11.4527240Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4527668Z "size": 32, 2025-08-26T19:46:11.4528096Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-26T19:46:11.4528593Z }, 2025-08-26T19:46:11.4528794Z { 2025-08-26T19:46:11.4529127Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4529537Z "size": 380, 2025-08-26T19:46:11.4529942Z "digest": "sha256:949734882de50eee84240586b92983e08269c7cc3972990206c92cf701576350" 2025-08-26T19:46:11.4530412Z }, 2025-08-26T19:46:11.4530606Z { 2025-08-26T19:46:11.4530925Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4531351Z "size": 104, 2025-08-26T19:46:11.4531776Z "digest": "sha256:ee3cb7b4e1614e673aed386d0cfebfe903646c0116da73af3a1778616d2d919b" 2025-08-26T19:46:11.4532271Z }, 2025-08-26T19:46:11.4532453Z { 2025-08-26T19:46:11.4532786Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4533214Z "size": 230, 2025-08-26T19:46:11.4533640Z "digest": 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"sha256:89159c061439df91ec29e3f3e48866d9e771d319226c7fc35e40b5e31cbef91f" 2025-08-26T19:46:11.4539783Z }, 2025-08-26T19:46:11.4539968Z { 2025-08-26T19:46:11.4540302Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4540735Z "size": 195, 2025-08-26T19:46:11.4541149Z "digest": "sha256:7543369e8f46485c7b09c8798b18ec0d1a6f2ab66828a01876404c2bd5c550c5" 2025-08-26T19:46:11.4541609Z }, 2025-08-26T19:46:11.4541808Z { 2025-08-26T19:46:11.4542141Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4542570Z "size": 608, 2025-08-26T19:46:11.4542966Z "digest": "sha256:f7fc941934c65705930f6f684c120e8423f1520dbec4e2eb6121a48029320408" 2025-08-26T19:46:11.4543524Z }, 2025-08-26T19:46:11.4543723Z { 2025-08-26T19:46:11.4544055Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4544468Z "size": 226, 2025-08-26T19:46:11.4544913Z "digest": 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"sha256:3bf7eaa748f0e6e09ab53d9562fa3ae9f2a992b8ab4c81bf9fecf2855b08f1df" 2025-08-26T19:46:11.4652624Z }, 2025-08-26T19:46:11.4652810Z { 2025-08-26T19:46:11.4653136Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:46:11.4653540Z "size": 32, 2025-08-26T19:46:11.4653944Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-26T19:46:11.4654423Z } 2025-08-26T19:46:11.4655094Z ] 2025-08-26T19:46:11.4655277Z } 2025-08-26T19:46:11.4690860Z ##[group]Run set -eux 2025-08-26T19:46:11.4691153Z set -eux 2025-08-26T19:46:11.4691588Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-08-26T19:46:11.4692784Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-08-26T19:46:11.4701329Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:46:11.4701711Z env: 2025-08-26T19:46:11.4701940Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:11.4702217Z ##[endgroup] 2025-08-26T19:46:11.4729288Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-26T19:46:11.4730151Z + jq --raw-output .SecretString 2025-08-26T19:46:11.4731652Z + jq -r .docker_hub_readonly_token 2025-08-26T19:46:11.4732703Z + docker login --username pytorchbot --password-stdin 2025-08-26T19:46:12.0388848Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T19:46:12.0389978Z Configure a credential helper to remove this warning. See 2025-08-26T19:46:12.0390896Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T19:46:12.0391324Z 2025-08-26T19:46:12.0391438Z Login Succeeded 2025-08-26T19:46:12.0480455Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-26T19:46:12.0480851Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-26T19:46:12.0481393Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-26T19:46:12.0487673Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:46:12.0488072Z env: 2025-08-26T19:46:12.0488305Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:12.0489105Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:12.0489919Z ##[endgroup] 2025-08-26T19:46:12.0515282Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:12.0568815Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-26T19:46:12.0569271Z with: 2025-08-26T19:46:12.0570000Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:12.0570910Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:46:12.0571327Z env: 2025-08-26T19:46:12.0571548Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:12.0571821Z ##[endgroup] 2025-08-26T19:46:12.0595906Z ##[group]Run set -x 2025-08-26T19:46:12.0596186Z set -x 2025-08-26T19:46:12.0596424Z set +e 2025-08-26T19:46:12.0596657Z  2025-08-26T19:46:12.0596863Z login() { 2025-08-26T19:46:12.0597358Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-26T19:46:12.0597902Z } 2025-08-26T19:46:12.0598119Z  2025-08-26T19:46:12.0598373Z retry () { 2025-08-26T19:46:12.0598659Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-26T19:46:12.0598973Z } 2025-08-26T19:46:12.0599190Z  2025-08-26T19:46:12.0599442Z retry login "${DOCKER_REGISTRY}" 2025-08-26T19:46:12.0599764Z  2025-08-26T19:46:12.0600258Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-26T19:46:12.0600956Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-26T19:46:12.0601344Z  2025-08-26T19:46:12.0601563Z set -e 2025-08-26T19:46:12.0601903Z # ignore output since only exit code is used for conditional 2025-08-26T19:46:12.0602414Z # only pull docker image if it's not available locally 2025-08-26T19:46:12.0602979Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-26T19:46:12.0603507Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-26T19:46:12.0603842Z fi 2025-08-26T19:46:12.0608912Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:46:12.0609309Z env: 2025-08-26T19:46:12.0609542Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:12.0610339Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:12.0611256Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:46:12.0611662Z ##[endgroup] 2025-08-26T19:46:12.0633242Z + set +e 2025-08-26T19:46:12.0633697Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:46:12.0634168Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:46:12.0636683Z + aws ecr get-login-password --region us-east-1 2025-08-26T19:46:12.0637966Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:46:12.5861266Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T19:46:12.5862290Z Configure a credential helper to remove this warning. See 2025-08-26T19:46:12.5863144Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T19:46:12.5863774Z 2025-08-26T19:46:12.5865572Z Login Succeeded 2025-08-26T19:46:12.5881679Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:12.5882887Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-26T19:46:12.8037300Z + IMAGE_SIZE=4404.510594367981 2025-08-26T19:46:12.8038064Z + echo 'Compressed size of image in MB: 4404.510594367981' 2025-08-26T19:46:12.8038616Z + set -e 2025-08-26T19:46:12.8039424Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:12.8040628Z Compressed size of image in MB: 4404.510594367981 2025-08-26T19:46:12.8145177Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:12.8146579Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:13.0518081Z pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6: Pulling from pytorch/ci-image 2025-08-26T19:46:13.0518932Z 660ffc76f83b: Pulling fs layer 2025-08-26T19:46:13.0519316Z bc6828dc3a67: Pulling fs layer 2025-08-26T19:46:13.0519601Z 077c5ccf8634: Pulling fs layer 2025-08-26T19:46:13.0519959Z c4b66cb3e145: Pulling fs layer 2025-08-26T19:46:13.0520257Z be2351a8a9e1: Pulling fs layer 2025-08-26T19:46:13.0520756Z ac0275b0c502: Pulling fs layer 2025-08-26T19:46:13.0521050Z 12a376ecda84: Pulling fs layer 2025-08-26T19:46:13.0521412Z ab2a2f72897f: Pulling fs layer 2025-08-26T19:46:13.0521727Z 98d248f35952: Pulling fs layer 2025-08-26T19:46:13.0522014Z 03d1105a106a: Pulling fs layer 2025-08-26T19:46:13.0522296Z c6de97442ffc: Pulling fs layer 2025-08-26T19:46:13.0522587Z 13792f6142bb: Pulling fs layer 2025-08-26T19:46:13.0522878Z 3926b9c5c757: Pulling fs layer 2025-08-26T19:46:13.0523163Z c4b66cb3e145: Waiting 2025-08-26T19:46:13.0523418Z d6ab61cb07e7: Pulling fs layer 2025-08-26T19:46:13.0523729Z 4f4fb700ef54: Pulling fs layer 2025-08-26T19:46:13.0524045Z be2351a8a9e1: Waiting 2025-08-26T19:46:13.0524345Z 949734882de5: Pulling fs layer 2025-08-26T19:46:13.0524713Z ee3cb7b4e161: Pulling fs layer 2025-08-26T19:46:13.0525097Z ac0275b0c502: Waiting 2025-08-26T19:46:13.0525456Z 8e2e9e025db0: Pulling fs layer 2025-08-26T19:46:13.0525903Z f7974c6e740c: Pulling fs layer 2025-08-26T19:46:13.0526314Z 12a376ecda84: Waiting 2025-08-26T19:46:13.0526711Z f69c3f35c384: Pulling fs layer 2025-08-26T19:46:13.0527169Z 89159c061439: Pulling fs layer 2025-08-26T19:46:13.0527629Z ab2a2f72897f: Waiting 2025-08-26T19:46:13.0528089Z 7543369e8f46: Pulling fs layer 2025-08-26T19:46:13.0528525Z f7fc941934c6: Pulling fs layer 2025-08-26T19:46:13.0528992Z f655cd3e2552: Pulling fs layer 2025-08-26T19:46:13.0529413Z 0780d907ae80: Pulling fs layer 2025-08-26T19:46:13.0529949Z 7712da47fe11: Pulling fs layer 2025-08-26T19:46:13.0530368Z d6ab61cb07e7: Waiting 2025-08-26T19:46:13.0530773Z 7e9e15046c34: Pulling fs layer 2025-08-26T19:46:13.0531200Z 4f4fb700ef54: Waiting 2025-08-26T19:46:13.0531580Z 0daf7355ddc9: Pulling fs layer 2025-08-26T19:46:13.0531962Z 03d1105a106a: Waiting 2025-08-26T19:46:13.0532355Z 949734882de5: Waiting 2025-08-26T19:46:13.0532721Z 0435a6eaf460: Pulling fs layer 2025-08-26T19:46:13.0533037Z c6de97442ffc: Waiting 2025-08-26T19:46:13.0533305Z e7c2dba69e4c: Pulling fs layer 2025-08-26T19:46:13.0533597Z ee3cb7b4e161: Waiting 2025-08-26T19:46:13.0533865Z 2b73a19dab76: Pulling fs layer 2025-08-26T19:46:13.0534135Z 8e2e9e025db0: Waiting 2025-08-26T19:46:13.0534384Z 13792f6142bb: Waiting 2025-08-26T19:46:13.0534658Z ed5131773436: Pulling fs layer 2025-08-26T19:46:13.0534938Z f7974c6e740c: Waiting 2025-08-26T19:46:13.0535181Z d7e9765898f9: Pulling fs layer 2025-08-26T19:46:13.0535457Z f69c3f35c384: Waiting 2025-08-26T19:46:13.0535714Z 13c02d1fa95a: Pulling fs layer 2025-08-26T19:46:13.0535990Z 7543369e8f46: Waiting 2025-08-26T19:46:13.0536223Z f7fc941934c6: Waiting 2025-08-26T19:46:13.0536685Z c4ac9ebc03ab: Pulling fs layer 2025-08-26T19:46:13.0536973Z 3926b9c5c757: Waiting 2025-08-26T19:46:13.0537216Z 89159c061439: Waiting 2025-08-26T19:46:13.0537458Z 0f80df9ec0a8: Pulling fs layer 2025-08-26T19:46:13.0537741Z f655cd3e2552: Waiting 2025-08-26T19:46:13.0537989Z 0435a6eaf460: Waiting 2025-08-26T19:46:13.0538245Z d773426c510c: Pulling fs layer 2025-08-26T19:46:13.0538515Z 0780d907ae80: Waiting 2025-08-26T19:46:13.0538766Z 7e9e15046c34: Waiting 2025-08-26T19:46:13.0539020Z 0daf7355ddc9: Waiting 2025-08-26T19:46:13.0539282Z bc0360305afd: Pulling fs layer 2025-08-26T19:46:13.0539575Z e7c2dba69e4c: Waiting 2025-08-26T19:46:13.0539975Z b1b61de995ce: Pulling fs layer 2025-08-26T19:46:13.0540249Z d7e9765898f9: Waiting 2025-08-26T19:46:13.0540503Z 0f80df9ec0a8: Waiting 2025-08-26T19:46:13.0540758Z bc0360305afd: Waiting 2025-08-26T19:46:13.0541005Z 69cf1c80c0c4: Pulling fs layer 2025-08-26T19:46:13.0541295Z 2b73a19dab76: Waiting 2025-08-26T19:46:13.0541549Z 13c02d1fa95a: Waiting 2025-08-26T19:46:13.0541812Z c4ac9ebc03ab: Waiting 2025-08-26T19:46:13.0542051Z b1b61de995ce: Waiting 2025-08-26T19:46:13.0542308Z 69cf1c80c0c4: Waiting 2025-08-26T19:46:13.0542578Z 494516fc2864: Pulling fs layer 2025-08-26T19:46:13.0542864Z 98d248f35952: Waiting 2025-08-26T19:46:13.0543108Z 73a0967e5609: Pulling fs layer 2025-08-26T19:46:13.0543450Z ed5131773436: Waiting 2025-08-26T19:46:13.0543695Z 494516fc2864: Waiting 2025-08-26T19:46:13.0543958Z ec659429b335: Pulling fs layer 2025-08-26T19:46:13.0544224Z 73a0967e5609: Waiting 2025-08-26T19:46:13.0544480Z 52e8b9613cef: Pulling fs layer 2025-08-26T19:46:13.0544759Z ec659429b335: Waiting 2025-08-26T19:46:13.0545018Z a1435d9de553: Pulling fs layer 2025-08-26T19:46:13.0545293Z 6a8d17e39fba: Pulling fs layer 2025-08-26T19:46:13.0545586Z f82de2f9fbbd: Pulling fs layer 2025-08-26T19:46:13.0545881Z c4a1946e885f: Pulling fs layer 2025-08-26T19:46:13.0546161Z 52e8b9613cef: Waiting 2025-08-26T19:46:13.0546395Z a1435d9de553: Waiting 2025-08-26T19:46:13.0546638Z 6a8d17e39fba: Waiting 2025-08-26T19:46:13.0546899Z 8150c2b87518: Pulling fs layer 2025-08-26T19:46:13.0547188Z b260b8a04e14: Pulling fs layer 2025-08-26T19:46:13.0547458Z f82de2f9fbbd: Waiting 2025-08-26T19:46:13.0547708Z c4a1946e885f: Waiting 2025-08-26T19:46:13.0547950Z 8150c2b87518: Waiting 2025-08-26T19:46:13.0548208Z 2ba586ae34b9: Pulling fs layer 2025-08-26T19:46:13.0548474Z b260b8a04e14: Waiting 2025-08-26T19:46:13.0548731Z 1a18b687e3b3: Pulling fs layer 2025-08-26T19:46:13.0549013Z 2ba586ae34b9: Waiting 2025-08-26T19:46:13.0549275Z b627c22edb90: Pulling fs layer 2025-08-26T19:46:13.0549544Z 1a18b687e3b3: Waiting 2025-08-26T19:46:13.0549813Z 434bc8db9244: Pulling fs layer 2025-08-26T19:46:13.0550112Z 19597bcec455: Pulling fs layer 2025-08-26T19:46:13.0550391Z b627c22edb90: Waiting 2025-08-26T19:46:13.0550632Z 288706c7e50f: Pulling fs layer 2025-08-26T19:46:13.0550913Z 434bc8db9244: Waiting 2025-08-26T19:46:13.0551169Z fa5087659588: Pulling fs layer 2025-08-26T19:46:13.0551450Z 19597bcec455: Waiting 2025-08-26T19:46:13.0551695Z 5c615319e208: Pulling fs layer 2025-08-26T19:46:13.0551970Z 288706c7e50f: Waiting 2025-08-26T19:46:13.0552230Z 424f9ce476c8: Pulling fs layer 2025-08-26T19:46:13.0552524Z d221e08864cf: Pulling fs layer 2025-08-26T19:46:13.0552787Z fa5087659588: Waiting 2025-08-26T19:46:13.0553033Z 5c615319e208: Waiting 2025-08-26T19:46:13.0553400Z 68effbf08d78: Pulling fs layer 2025-08-26T19:46:13.0553686Z 3bf7eaa748f0: Pulling fs layer 2025-08-26T19:46:13.0553971Z d221e08864cf: Waiting 2025-08-26T19:46:13.0554223Z 68effbf08d78: Waiting 2025-08-26T19:46:13.0554481Z 3bf7eaa748f0: Waiting 2025-08-26T19:46:13.1298754Z bc6828dc3a67: Verifying Checksum 2025-08-26T19:46:13.1299160Z bc6828dc3a67: Download complete 2025-08-26T19:46:13.2937765Z c4b66cb3e145: Download complete 2025-08-26T19:46:13.4219534Z 660ffc76f83b: Verifying Checksum 2025-08-26T19:46:13.4220148Z 660ffc76f83b: Download complete 2025-08-26T19:46:13.5040981Z ac0275b0c502: Verifying Checksum 2025-08-26T19:46:13.5042052Z ac0275b0c502: Download complete 2025-08-26T19:46:13.5721814Z 12a376ecda84: Download complete 2025-08-26T19:46:13.6336586Z ab2a2f72897f: Verifying Checksum 2025-08-26T19:46:13.6337257Z ab2a2f72897f: Download complete 2025-08-26T19:46:13.7128165Z 98d248f35952: Verifying Checksum 2025-08-26T19:46:13.7128810Z 98d248f35952: Download complete 2025-08-26T19:46:13.8113509Z 03d1105a106a: Download complete 2025-08-26T19:46:13.9157372Z c6de97442ffc: Verifying Checksum 2025-08-26T19:46:13.9157753Z c6de97442ffc: Download complete 2025-08-26T19:46:13.9888052Z 13792f6142bb: Verifying Checksum 2025-08-26T19:46:13.9888679Z 13792f6142bb: Download complete 2025-08-26T19:46:13.9920046Z be2351a8a9e1: Verifying Checksum 2025-08-26T19:46:13.9920515Z be2351a8a9e1: Download complete 2025-08-26T19:46:14.0772867Z 3926b9c5c757: Verifying Checksum 2025-08-26T19:46:14.0773476Z 3926b9c5c757: Download complete 2025-08-26T19:46:14.0862178Z 4f4fb700ef54: Verifying Checksum 2025-08-26T19:46:14.0862562Z 4f4fb700ef54: Download complete 2025-08-26T19:46:14.1537175Z 949734882de5: Verifying Checksum 2025-08-26T19:46:14.1537850Z 949734882de5: Download complete 2025-08-26T19:46:14.2481440Z ee3cb7b4e161: Verifying Checksum 2025-08-26T19:46:14.2481911Z ee3cb7b4e161: Download complete 2025-08-26T19:46:14.3341541Z 8e2e9e025db0: Verifying Checksum 2025-08-26T19:46:14.3342222Z 8e2e9e025db0: Download complete 2025-08-26T19:46:14.3386884Z 660ffc76f83b: Pull complete 2025-08-26T19:46:14.3603367Z bc6828dc3a67: Pull complete 2025-08-26T19:46:14.4666438Z f7974c6e740c: Verifying Checksum 2025-08-26T19:46:14.4666835Z f7974c6e740c: Download complete 2025-08-26T19:46:14.5671252Z f69c3f35c384: Verifying Checksum 2025-08-26T19:46:14.5671844Z f69c3f35c384: Download complete 2025-08-26T19:46:14.6397290Z 89159c061439: Verifying Checksum 2025-08-26T19:46:14.6397909Z 89159c061439: Download complete 2025-08-26T19:46:14.7263254Z 7543369e8f46: Verifying Checksum 2025-08-26T19:46:14.7263630Z 7543369e8f46: Download complete 2025-08-26T19:46:14.8156696Z f7fc941934c6: Verifying Checksum 2025-08-26T19:46:14.8157121Z f7fc941934c6: Download complete 2025-08-26T19:46:14.9038657Z f655cd3e2552: Verifying Checksum 2025-08-26T19:46:14.9039163Z f655cd3e2552: Download complete 2025-08-26T19:46:14.9903698Z 0780d907ae80: Verifying Checksum 2025-08-26T19:46:14.9904362Z 0780d907ae80: Download complete 2025-08-26T19:46:15.1066908Z 7712da47fe11: Verifying Checksum 2025-08-26T19:46:15.1067273Z 7712da47fe11: Download complete 2025-08-26T19:46:15.1946989Z 7e9e15046c34: Verifying Checksum 2025-08-26T19:46:15.1947375Z 7e9e15046c34: Download complete 2025-08-26T19:46:16.5611096Z 077c5ccf8634: Verifying Checksum 2025-08-26T19:46:16.5611518Z 077c5ccf8634: Download complete 2025-08-26T19:46:16.6565911Z 0435a6eaf460: Verifying Checksum 2025-08-26T19:46:16.6566465Z 0435a6eaf460: Download complete 2025-08-26T19:46:16.7460572Z e7c2dba69e4c: Download complete 2025-08-26T19:46:16.8293603Z 2b73a19dab76: Verifying Checksum 2025-08-26T19:46:16.8294141Z 2b73a19dab76: Download complete 2025-08-26T19:46:16.9266446Z ed5131773436: Verifying Checksum 2025-08-26T19:46:16.9267124Z ed5131773436: Download complete 2025-08-26T19:46:17.2271976Z d7e9765898f9: Verifying Checksum 2025-08-26T19:46:17.2272770Z d7e9765898f9: Download complete 2025-08-26T19:46:17.3211449Z 13c02d1fa95a: Verifying Checksum 2025-08-26T19:46:17.3212008Z 13c02d1fa95a: Download complete 2025-08-26T19:46:17.4043844Z c4ac9ebc03ab: Verifying Checksum 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2025-08-26T19:47:57.2279237Z 2ba586ae34b9: Pull complete 2025-08-26T19:47:57.2489339Z 1a18b687e3b3: Pull complete 2025-08-26T19:47:57.2909820Z b627c22edb90: Pull complete 2025-08-26T19:47:57.3120667Z 434bc8db9244: Pull complete 2025-08-26T19:48:04.1532774Z 19597bcec455: Pull complete 2025-08-26T19:48:04.3035711Z 288706c7e50f: Pull complete 2025-08-26T19:48:04.3921314Z fa5087659588: Pull complete 2025-08-26T19:48:04.4547212Z 5c615319e208: Pull complete 2025-08-26T19:48:04.5527068Z 424f9ce476c8: Pull complete 2025-08-26T19:48:04.5857507Z d221e08864cf: Pull complete 2025-08-26T19:48:04.7648305Z 68effbf08d78: Pull complete 2025-08-26T19:48:06.7968728Z 3bf7eaa748f0: Pull complete 2025-08-26T19:48:07.1093120Z Digest: sha256:16e8df60cdede606d7a1939b8ee6c9786a6466d17602dc7150706f3392d20293 2025-08-26T19:48:07.1513230Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:48:07.1697298Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:48:07.1742205Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T19:48:07.1743218Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T19:48:07.1750732Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:48:07.1751132Z env: 2025-08-26T19:48:07.1751364Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:07.1751623Z ##[endgroup] 2025-08-26T19:48:07.1889861Z Prepare all required actions 2025-08-26T19:48:07.1997977Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-26T19:48:07.1998335Z with: 2025-08-26T19:48:07.1998965Z github-token: *** 2025-08-26T19:48:07.1999211Z env: 2025-08-26T19:48:07.1999443Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:07.1999702Z ##[endgroup] 2025-08-26T19:48:07.2127963Z ##[group]Run set -eux 2025-08-26T19:48:07.2128262Z set -eux 2025-08-26T19:48:07.2128724Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-26T19:48:07.2134711Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:48:07.2135104Z env: 2025-08-26T19:48:07.2135328Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:07.2135815Z GITHUB_TOKEN: *** 2025-08-26T19:48:07.2136062Z ##[endgroup] 2025-08-26T19:48:07.2160922Z + python3 .github/scripts/get_workflow_job_id.py 17248463620 i-003c9750a81c1c7a9 2025-08-26T19:48:09.4027147Z Setting output job-id=48944862581 2025-08-26T19:48:09.4027799Z Setting output job-name=linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge) 2025-08-26T19:48:09.4206358Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-26T19:48:09.4207324Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-26T19:48:09.4208325Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-26T19:48:09.4209220Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:48:09.4214980Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:48:09.4215379Z env: 2025-08-26T19:48:09.4215613Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:09.4215885Z JOB_ID: 48944862581 2025-08-26T19:48:09.4216284Z JOB_NAME: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge) 2025-08-26T19:48:09.4216765Z WORKFLOW_NAME: pull 2025-08-26T19:48:09.4217035Z WORKFLOW_RUN_ID: 17248463620 2025-08-26T19:48:09.4217359Z MONITOR_LOG_INTERVAL: 5 2025-08-26T19:48:09.4217648Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-26T19:48:09.4217963Z ##[endgroup] 2025-08-26T19:48:10.8005001Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T19:48:11.4025134Z Collecting psutil==5.9.8 2025-08-26T19:48:11.4193347Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-08-26T19:48:11.5389294Z Collecting dataclasses_json==0.6.7 2025-08-26T19:48:11.5433874Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-26T19:48:11.6020775Z Collecting nvidia-ml-py==11.525.84 2025-08-26T19:48:11.6059133Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-26T19:48:11.6636386Z Collecting typing-inspect<1,>=0.4.0 2025-08-26T19:48:11.6685389Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-26T19:48:11.8171198Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-26T19:48:11.8211741Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-26T19:48:11.9201156Z Collecting packaging>=17.0 2025-08-26T19:48:11.9259025Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-26T19:48:12.0197703Z Collecting typing-extensions>=3.7.4 2025-08-26T19:48:12.0240142Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-08-26T19:48:12.0804310Z Collecting mypy-extensions>=0.3.0 2025-08-26T19:48:12.0852348Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-26T19:48:12.3240356Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-26T19:48:12.6885938Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-08-26T19:48:12.8731155Z Prepare all required actions 2025-08-26T19:48:12.8731566Z Getting action download info 2025-08-26T19:48:13.0648345Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-26T19:48:13.3394756Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-26T19:48:13.6530916Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-26T19:48:13.6531300Z with: 2025-08-26T19:48:13.6531543Z name: linux-jammy-py3.13-clang12 2025-08-26T19:48:13.6531867Z s3-bucket: gha-artifacts 2025-08-26T19:48:13.6532124Z env: 2025-08-26T19:48:13.6532348Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:13.6532626Z ##[endgroup] 2025-08-26T19:48:13.6564773Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-26T19:48:13.6565130Z with: 2025-08-26T19:48:13.6565378Z name: linux-jammy-py3.13-clang12 2025-08-26T19:48:13.6565699Z s3-bucket: gha-artifacts 2025-08-26T19:48:13.6566029Z region: us-east-1 2025-08-26T19:48:13.6566254Z env: 2025-08-26T19:48:13.6566477Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:13.6566747Z ##[endgroup] 2025-08-26T19:48:14.1420061Z (node:41515) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-26T19:48:14.1421381Z 2025-08-26T19:48:14.1421763Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-26T19:48:14.1422770Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-26T19:48:14.1423805Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-26T19:48:14.8463675Z Found 1 objects with prefix pytorch/pytorch/17248463620/linux-jammy-py3.13-clang12/ 2025-08-26T19:48:14.8464471Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-26T19:48:19.1415135Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-26T19:48:19.1424239Z Artifact download has finished successfully 2025-08-26T19:48:19.1613090Z ##[group]Run unzip -o artifacts.zip 2025-08-26T19:48:19.1613455Z unzip -o artifacts.zip 2025-08-26T19:48:19.1619174Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:48:19.1619590Z env: 2025-08-26T19:48:19.1619828Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:19.1620110Z ##[endgroup] 2025-08-26T19:48:19.1682118Z Archive: artifacts.zip 2025-08-26T19:48:19.1683530Z creating: dist/ 2025-08-26T19:48:19.1802307Z inflating: dist/.ninja_log 2025-08-26T19:48:20.3575263Z inflating: dist/torch-2.9.0a0+git262640f-cp313-cp313-linux_x86_64.whl 2025-08-26T19:48:20.3576185Z creating: build/ 2025-08-26T19:48:20.3576482Z creating: build/custom_test_artifacts/ 2025-08-26T19:48:20.3576893Z creating: build/custom_test_artifacts/custom-op-build/ 2025-08-26T19:48:20.3577398Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-08-26T19:48:20.3578144Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-08-26T19:48:20.3579524Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-08-26T19:48:20.3580499Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-08-26T19:48:20.3581203Z 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2025-08-26T19:48:26.1139375Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:48:26.1139776Z env: 2025-08-26T19:48:26.1140008Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:26.1140286Z ##[endgroup] 2025-08-26T19:48:26.1481255Z ##[group]Run df -H 2025-08-26T19:48:26.1481527Z df -H 2025-08-26T19:48:26.1487116Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:48:26.1487505Z env: 2025-08-26T19:48:26.1487743Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:26.1488019Z ##[endgroup] 2025-08-26T19:48:26.1538761Z Filesystem Size Used Avail Use% Mounted on 2025-08-26T19:48:26.1539164Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-26T19:48:26.1539503Z tmpfs 8.2G 0 8.2G 0% /dev/shm 2025-08-26T19:48:26.1539856Z tmpfs 3.3G 484k 3.3G 1% /run 2025-08-26T19:48:26.1540191Z /dev/nvme0n1p1 161G 27G 135G 17% / 2025-08-26T19:48:26.1540846Z tmpfs 8.2G 13k 8.2G 1% /tmp 2025-08-26T19:48:26.1541517Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-26T19:48:26.1581385Z Prepare all required actions 2025-08-26T19:48:26.1582178Z Getting action download info 2025-08-26T19:48:26.3065872Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-26T19:48:26.3066234Z with: 2025-08-26T19:48:26.3066456Z env: 2025-08-26T19:48:26.3066685Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:26.3066964Z ##[endgroup] 2025-08-26T19:48:26.3105883Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-26T19:48:26.3106249Z with: 2025-08-26T19:48:26.3106465Z name: td_results 2025-08-26T19:48:26.3106731Z s3-bucket: gha-artifacts 2025-08-26T19:48:26.3107022Z region: us-east-1 2025-08-26T19:48:26.3107260Z env: 2025-08-26T19:48:26.3107471Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:26.3107742Z ##[endgroup] 2025-08-26T19:48:26.7689819Z (node:41533) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-26T19:48:26.7690331Z 2025-08-26T19:48:26.7690602Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-26T19:48:26.7691162Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-26T19:48:26.7691751Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-26T19:48:26.8960342Z Found 1 objects with prefix pytorch/pytorch/17248463620/td_results/ 2025-08-26T19:48:26.8961096Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-08-26T19:48:26.9622516Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-08-26T19:48:26.9627471Z Artifact download has finished successfully 2025-08-26T19:48:26.9804168Z ##[group]Run mkdir -p .additional_ci_files 2025-08-26T19:48:26.9804575Z mkdir -p .additional_ci_files 2025-08-26T19:48:26.9805036Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-26T19:48:26.9810929Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:48:26.9811318Z env: 2025-08-26T19:48:26.9811572Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:26.9811854Z ##[endgroup] 2025-08-26T19:48:26.9964663Z ##[group]Run .github/scripts/parse_ref.py 2025-08-26T19:48:26.9965049Z .github/scripts/parse_ref.py 2025-08-26T19:48:26.9970403Z shell: /usr/bin/bash -e {0} 2025-08-26T19:48:26.9970696Z env: 2025-08-26T19:48:26.9970932Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:26.9971200Z ##[endgroup] 2025-08-26T19:48:27.0177603Z Setting output branch=main 2025-08-26T19:48:27.0311474Z Prepare all required actions 2025-08-26T19:48:27.0311899Z Getting action download info 2025-08-26T19:48:27.1598118Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-26T19:48:27.1598586Z with: 2025-08-26T19:48:27.1599100Z github-token: *** 2025-08-26T19:48:27.1602169Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]} 2025-08-26T19:48:27.1605402Z job-name: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge) 2025-08-26T19:48:27.1605881Z env: 2025-08-26T19:48:27.1606113Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:27.1606391Z ##[endgroup] 2025-08-26T19:48:27.1651023Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-26T19:48:27.1651354Z with: 2025-08-26T19:48:27.1651558Z shell: bash 2025-08-26T19:48:27.1651811Z timeout_minutes: 10 2025-08-26T19:48:27.1652068Z max_attempts: 5 2025-08-26T19:48:27.1652322Z retry_wait_seconds: 30 2025-08-26T19:48:27.1653157Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-26T19:48:27.1654041Z polling_interval_seconds: 1 2025-08-26T19:48:27.1654351Z warning_on_retry: true 2025-08-26T19:48:27.1654841Z continue_on_error: false 2025-08-26T19:48:27.1655100Z env: 2025-08-26T19:48:27.1655325Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:27.1655831Z GITHUB_TOKEN: *** 2025-08-26T19:48:27.1656079Z ##[endgroup] 2025-08-26T19:48:27.2571493Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-26T19:48:27.4908465Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T19:48:27.6025416Z Collecting requests==2.27.1 2025-08-26T19:48:27.6198266Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-26T19:48:27.7758815Z Collecting pyyaml==6.0.2 2025-08-26T19:48:27.7800777Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-26T19:48:27.8515253Z Collecting certifi>=2017.4.17 2025-08-26T19:48:27.8559484Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-26T19:48:27.8627922Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-26T19:48:27.8636781Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-26T19:48:28.2039319Z Collecting charset-normalizer~=2.0.0 2025-08-26T19:48:28.2092230Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-26T19:48:28.2967121Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-26T19:48:28.4160448Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-26T19:48:29.2411221Z Command completed after 1 attempt(s). 2025-08-26T19:48:29.2466706Z ##[group]Run set -x 2025-08-26T19:48:29.2466985Z set -x 2025-08-26T19:48:29.2467229Z  2025-08-26T19:48:29.2467616Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-26T19:48:29.2468307Z # in runner workspace 2025-08-26T19:48:29.2468726Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-26T19:48:29.2474698Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:48:29.2475102Z env: 2025-08-26T19:48:29.2475327Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:29.2475610Z ##[endgroup] 2025-08-26T19:48:29.2500039Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-26T19:48:29.2675830Z Setting output branch=main 2025-08-26T19:48:29.2735782Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-26T19:48:29.2736236Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-26T19:48:29.2736612Z echo "Job name: ${JOB_NAME}" 2025-08-26T19:48:29.2736936Z  2025-08-26T19:48:29.2737331Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-26T19:48:29.2737836Z # in runner workspace 2025-08-26T19:48:29.2738287Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-26T19:48:29.2738799Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-26T19:48:29.2739156Z  --job-name "${JOB_NAME}" \ 2025-08-26T19:48:29.2742244Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]}" \ 2025-08-26T19:48:29.2745374Z  --selected-test-configs "" \ 2025-08-26T19:48:29.2745732Z  --pr-number "${PR_NUMBER}" \ 2025-08-26T19:48:29.2746065Z  --tag "${TAG}" \ 2025-08-26T19:48:29.2746379Z  --event-name "${EVENT_NAME}" \ 2025-08-26T19:48:29.2746706Z  --schedule "${SCHEDULE}" \ 2025-08-26T19:48:29.2747040Z  --branch "${HEAD_BRANCH}" 2025-08-26T19:48:29.2752600Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:48:29.2753100Z env: 2025-08-26T19:48:29.2753316Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:29.2753930Z GITHUB_TOKEN: *** 2025-08-26T19:48:29.2754351Z JOB_NAME: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge) 2025-08-26T19:48:29.2754977Z PR_NUMBER: 2025-08-26T19:48:29.2755206Z TAG: 2025-08-26T19:48:29.2755422Z EVENT_NAME: push 2025-08-26T19:48:29.2755661Z SCHEDULE: 2025-08-26T19:48:29.2755885Z HEAD_BRANCH: main 2025-08-26T19:48:29.2756129Z ##[endgroup] 2025-08-26T19:48:29.2778693Z Workflow: pull 2025-08-26T19:48:29.2779114Z Job name: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge) 2025-08-26T19:48:29.4585154Z Setting output keep-going=True 2025-08-26T19:48:29.4585564Z Setting output ci-verbose-test-logs=False 2025-08-26T19:48:29.4585940Z Setting output ci-test-showlocals=False 2025-08-26T19:48:29.4586287Z Setting output ci-no-test-timeout=False 2025-08-26T19:48:29.4586633Z Setting output ci-no-td=False 2025-08-26T19:48:29.4587180Z Setting output ci-td-distributed=False 2025-08-26T19:48:29.4587533Z Setting output is-unstable=False 2025-08-26T19:48:29.4587838Z Setting output reenabled-issues= 2025-08-26T19:48:29.4591138Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]} 2025-08-26T19:48:29.4594450Z Setting output is-test-matrix-empty=False 2025-08-26T19:48:29.4726124Z ##[group]Run echo "Filtered matrix:" 2025-08-26T19:48:29.4726500Z echo "Filtered matrix:" 2025-08-26T19:48:29.4729560Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]}" 2025-08-26T19:48:29.4732619Z  2025-08-26T19:48:29.4732846Z echo 2025-08-26T19:48:29.4733121Z echo "Is the current job unstable? False" 2025-08-26T19:48:29.4733476Z  2025-08-26T19:48:29.4733690Z echo 2025-08-26T19:48:29.4733960Z echo "Is keep-going label set? True" 2025-08-26T19:48:29.4734281Z  2025-08-26T19:48:29.4734497Z echo 2025-08-26T19:48:29.4734744Z echo "Reenabled issues? " 2025-08-26T19:48:29.4740386Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:48:29.4740765Z env: 2025-08-26T19:48:29.4740995Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:29.4756292Z ##[endgroup] 2025-08-26T19:48:29.4779907Z Filtered matrix: 2025-08-26T19:48:29.4783918Z {include: [{config: default, shard: 1, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 2, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 3, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 4, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 5, num_shards: 5, runner: lf.linux.4xlarge}, {config: crossref, shard: 1, num_shards: 2, runner: lf.linux.2xlarge}, {config: crossref, shard: 2, num_shards: 2, runner: lf.linux.2xlarge}, {config: dynamo_wrapped, shard: 1, num_shards: 3, runner: lf.linux.2xlarge}, {config: dynamo_wrapped, shard: 2, num_shards: 3, runner: lf.linux.2xlarge}, {config: dynamo_wrapped, shard: 3, num_shards: 3, runner: lf.linux.2xlarge}, {config: einops, shard: 1, num_shards: 1, runner: lf.linux.2xlarge}]} 2025-08-26T19:48:29.4786785Z 2025-08-26T19:48:29.4786913Z Is the current job unstable? False 2025-08-26T19:48:29.4787123Z 2025-08-26T19:48:29.4787395Z Is keep-going label set? True 2025-08-26T19:48:29.4787584Z 2025-08-26T19:48:29.4787695Z Reenabled issues? 2025-08-26T19:48:29.4833574Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-26T19:48:29.4834130Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-26T19:48:29.4839538Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:48:29.4839920Z env: 2025-08-26T19:48:29.4840151Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:29.4840427Z JOB_TIMEOUT: 240 2025-08-26T19:48:29.4840669Z ##[endgroup] 2025-08-26T19:48:29.4894338Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T19:48:29.4894877Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T19:48:29.4895342Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T19:48:29.4900415Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:48:29.4900811Z env: 2025-08-26T19:48:29.4901054Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:29.4901331Z ##[endgroup] 2025-08-26T19:48:29.4996197Z ##[group]Run set -x 2025-08-26T19:48:29.4996558Z set -x 2025-08-26T19:48:29.4996780Z  2025-08-26T19:48:29.4997048Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-26T19:48:29.4997467Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-26T19:48:29.4997888Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-26T19:48:29.4998257Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-26T19:48:29.4998576Z else 2025-08-26T19:48:29.4998843Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-26T19:48:29.4999168Z fi 2025-08-26T19:48:29.4999372Z  2025-08-26T19:48:29.4999648Z # Leaving 1GB for the runner and other things 2025-08-26T19:48:29.5000255Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-26T19:48:29.5001173Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-26T19:48:29.5001907Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-26T19:48:29.5002466Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-26T19:48:29.5002902Z  2025-08-26T19:48:29.5003176Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-26T19:48:29.5003522Z  SHM_OPTS= 2025-08-26T19:48:29.5003775Z  JENKINS_USER= 2025-08-26T19:48:29.5004140Z  # ensure that docker container cleanly exits in 12 hours 2025-08-26T19:48:29.5004634Z  # if for some reason cleanup action doesn't stop container 2025-08-26T19:48:29.5005043Z  # when job is cancelled 2025-08-26T19:48:29.5005350Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-26T19:48:29.5005653Z else 2025-08-26T19:48:29.5005907Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-26T19:48:29.5006261Z  JENKINS_USER="--user jenkins" 2025-08-26T19:48:29.5006577Z  DOCKER_SHELL_CMD= 2025-08-26T19:48:29.5006844Z fi 2025-08-26T19:48:29.5007060Z  2025-08-26T19:48:29.5007408Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-26T19:48:29.5007944Z # TODO: Stop building test binaries as part of the build phase 2025-08-26T19:48:29.5008573Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-26T19:48:29.5009129Z # shellcheck disable=SC2086,SC2090 2025-08-26T19:48:29.5009480Z container_name=$(docker run \ 2025-08-26T19:48:29.5009804Z  ${GPU_FLAG:-} \ 2025-08-26T19:48:29.5010105Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-26T19:48:29.5010466Z  -e BUILD_ENVIRONMENT \ 2025-08-26T19:48:29.5010777Z  -e PR_NUMBER \ 2025-08-26T19:48:29.5011060Z  -e GITHUB_ACTIONS \ 2025-08-26T19:48:29.5011486Z  -e GITHUB_REPOSITORY \ 2025-08-26T19:48:29.5011794Z  -e GITHUB_WORKFLOW \ 2025-08-26T19:48:29.5012094Z  -e GITHUB_JOB \ 2025-08-26T19:48:29.5012372Z  -e GITHUB_RUN_ID \ 2025-08-26T19:48:29.5012646Z  -e GITHUB_RUN_NUMBER \ 2025-08-26T19:48:29.5012955Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-26T19:48:29.5013256Z  -e JOB_ID \ 2025-08-26T19:48:29.5013515Z  -e JOB_NAME \ 2025-08-26T19:48:29.5013769Z  -e BASE_SHA \ 2025-08-26T19:48:29.5014029Z  -e BRANCH \ 2025-08-26T19:48:29.5014283Z  -e SHA1 \ 2025-08-26T19:48:29.5014542Z  -e AWS_DEFAULT_REGION \ 2025-08-26T19:48:29.5014834Z  -e IN_WHEEL_TEST \ 2025-08-26T19:48:29.5015124Z  -e SHARD_NUMBER \ 2025-08-26T19:48:29.5015410Z  -e TEST_CONFIG \ 2025-08-26T19:48:29.5015697Z  -e NUM_TEST_SHARDS \ 2025-08-26T19:48:29.5015988Z  -e REENABLED_ISSUES \ 2025-08-26T19:48:29.5016305Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-26T19:48:29.5016723Z  -e VERBOSE_TEST_LOGS \ 2025-08-26T19:48:29.5017037Z  -e TEST_SHOWLOCALS \ 2025-08-26T19:48:29.5017327Z  -e NO_TEST_TIMEOUT \ 2025-08-26T19:48:29.5017619Z  -e NO_TD \ 2025-08-26T19:48:29.5017879Z  -e TD_DISTRIBUTED \ 2025-08-26T19:48:29.5018172Z  -e PR_LABELS \ 2025-08-26T19:48:29.5018474Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-26T19:48:29.5018808Z  -e SCCACHE_BUCKET \ 2025-08-26T19:48:29.5019103Z  -e SCCACHE_REGION \ 2025-08-26T19:48:29.5019389Z  -e XLA_CUDA \ 2025-08-26T19:48:29.5019695Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-26T19:48:29.5020055Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-26T19:48:29.5020439Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-26T19:48:29.5020827Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-26T19:48:29.5021186Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-26T19:48:29.5021554Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-08-26T19:48:29.5021909Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-26T19:48:29.5022241Z  -e DASHBOARD_TAG \ 2025-08-26T19:48:29.5022542Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-26T19:48:29.5022903Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-26T19:48:29.5023337Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-26T19:48:29.5023775Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-26T19:48:29.5024193Z  --security-opt seccomp=unconfined \ 2025-08-26T19:48:29.5024555Z  --cap-add=SYS_PTRACE \ 2025-08-26T19:48:29.5024852Z  --ipc=host \ 2025-08-26T19:48:29.5025120Z  ${SHM_OPTS} \ 2025-08-26T19:48:29.5025384Z  --tty \ 2025-08-26T19:48:29.5025633Z  --detach \ 2025-08-26T19:48:29.5025897Z  --name="${container_name}" \ 2025-08-26T19:48:29.5026235Z  ${JENKINS_USER} \ 2025-08-26T19:48:29.5026605Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-26T19:48:29.5027032Z  -w /var/lib/jenkins/workspace \ 2025-08-26T19:48:29.5027356Z  "${DOCKER_IMAGE}" \ 2025-08-26T19:48:29.5027654Z  ${DOCKER_SHELL_CMD} 2025-08-26T19:48:29.5027932Z ) 2025-08-26T19:48:29.5028236Z # Propagate download.pytorch.org IP to container 2025-08-26T19:48:29.5028923Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-26T19:48:29.5029674Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-26T19:48:29.5030108Z  2025-08-26T19:48:29.5030390Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-26T19:48:29.5030993Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-26T19:48:29.5031598Z fi 2025-08-26T19:48:29.5031826Z  2025-08-26T19:48:29.5032350Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-26T19:48:29.5037730Z shell: /usr/bin/bash -e {0} 2025-08-26T19:48:29.5038023Z env: 2025-08-26T19:48:29.5038236Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:48:29.5038566Z BUILD_ENVIRONMENT: linux-jammy-py3.13-clang12 2025-08-26T19:48:29.5038920Z PR_NUMBER: 2025-08-26T19:48:29.5039174Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-26T19:48:29.5039489Z GITHUB_WORKFLOW: pull 2025-08-26T19:48:29.5039756Z GITHUB_JOB: test 2025-08-26T19:48:29.5040007Z GITHUB_RUN_ID: 17248463620 2025-08-26T19:48:29.5040294Z GITHUB_RUN_NUMBER: 350026 2025-08-26T19:48:29.5040559Z GITHUB_RUN_ATTEMPT: 1 2025-08-26T19:48:29.5040818Z JOB_ID: 48944862581 2025-08-26T19:48:29.5041226Z JOB_NAME: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge) 2025-08-26T19:48:29.5041701Z BRANCH: main 2025-08-26T19:48:29.5041964Z SHA1: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:48:29.5042441Z BASE_SHA: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:48:29.5042797Z TEST_CONFIG: crossref 2025-08-26T19:48:29.5043055Z SHARD_NUMBER: 1 2025-08-26T19:48:29.5043284Z NUM_TEST_SHARDS: 2 2025-08-26T19:48:29.5043540Z REENABLED_ISSUES: 2025-08-26T19:48:29.5043803Z CONTINUE_THROUGH_ERROR: True 2025-08-26T19:48:29.5044098Z VERBOSE_TEST_LOGS: False 2025-08-26T19:48:29.5044364Z TEST_SHOWLOCALS: False 2025-08-26T19:48:29.5044634Z NO_TEST_TIMEOUT: False 2025-08-26T19:48:29.5044892Z NO_TD: False 2025-08-26T19:48:29.5045125Z TD_DISTRIBUTED: False 2025-08-26T19:48:29.5045435Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-26T19:48:29.5045812Z SCCACHE_REGION: us-east-1 2025-08-26T19:48:29.5046088Z SHM_SIZE: 1g 2025-08-26T19:48:29.5046830Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:48:29.5047636Z XLA_CUDA: 2025-08-26T19:48:29.5048016Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-26T19:48:29.5048499Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-26T19:48:29.5048842Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-26T19:48:29.5049161Z DASHBOARD_TAG: 2025-08-26T19:48:29.5049604Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-08-26T19:48:29.5050031Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-26T19:48:29.5050464Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-26T19:48:29.5050906Z ARTIFACTS_FILE_SUFFIX: test-crossref-1-2-lf.linux.2xlarge_48944862581 2025-08-26T19:48:29.5051357Z ##[endgroup] 2025-08-26T19:48:29.5072810Z + [[ crossref == \m\u\l\t\i\g\p\u ]] 2025-08-26T19:48:29.5073246Z + [[ linux-jammy-py3.13-clang12 == *onnx* ]] 2025-08-26T19:48:29.5073593Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-26T19:48:29.5075935Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-26T19:48:29.5112331Z + TOTAL_AVAILABLE_MEMORY_IN_GB='14.244 ' 2025-08-26T19:48:29.5112717Z + TOTAL_MEMORY_WITH_SWAP=17 2025-08-26T19:48:29.5113108Z + [[ linux-jammy-py3.13-clang12 == *\s\3\9\0\x* ]] 2025-08-26T19:48:29.5113462Z + SHM_OPTS=--shm-size=1g 2025-08-26T19:48:29.5113754Z + JENKINS_USER='--user jenkins' 2025-08-26T19:48:29.5114052Z + DOCKER_SHELL_CMD= 2025-08-26T19:48:29.5120104Z +++ nproc --ignore=2 2025-08-26T19:48:29.5145122Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=14g --memory-swap=17g --env-file=/tmp/github_env_17248463620 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:48:36.0704965Z + container_name=302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T19:48:36.0706878Z + grep download.pytorch.org /etc/hosts 2025-08-26T19:48:36.0708618Z + docker exec -i 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-26T19:48:36.2729362Z + echo DOCKER_CONTAINER_ID=302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T19:48:36.2730239Z + [[ linux-jammy-py3.13-clang12 == *\s\3\9\0\x* ]] 2025-08-26T19:48:36.2732786Z ++ echo dist/torch-2.9.0a0+git262640f-cp313-cp313-linux_x86_64.whl 2025-08-26T19:48:36.2735376Z + docker exec -t 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git262640f-cp313-cp313-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-26T19:48:36.8209828Z Processing ./dist/torch-2.9.0a0+git262640f-cp313-cp313-linux_x86_64.whl (from torch==2.9.0a0+git262640f) 2025-08-26T19:48:37.3541356Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.19.1) 2025-08-26T19:48:37.3544862Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (4.15.0) 2025-08-26T19:48:37.3550139Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (80.9.0) 2025-08-26T19:48:37.3554141Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.13.3) 2025-08-26T19:48:37.3558232Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (2.8.8) 2025-08-26T19:48:37.3561405Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.1.6) 2025-08-26T19:48:37.3565440Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (2025.7.0) 2025-08-26T19:48:37.3579939Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.3.0) 2025-08-26T19:48:37.3688593Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (2.1.2) 2025-08-26T19:48:37.3734585Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.3.0) 2025-08-26T19:48:37.3767688Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from jinja2->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.0.2) 2025-08-26T19:48:37.5982539Z Installing collected packages: torch 2025-08-26T19:48:49.2049132Z Successfully installed torch-2.9.0a0+git262640f 2025-08-26T19:48:49.2745216Z + export TERM=vt100 2025-08-26T19:48:49.2745532Z + TERM=vt100 2025-08-26T19:48:49.2746654Z ++ dirname .ci/pytorch/test.sh 2025-08-26T19:48:49.2764195Z + source .ci/pytorch/common.sh 2025-08-26T19:48:49.2771843Z +++ dirname .ci/pytorch/common.sh 2025-08-26T19:48:49.2778131Z ++ source .ci/pytorch/common_utils.sh 2025-08-26T19:48:49.2784598Z +++ declare -f -t trap_add 2025-08-26T19:48:49.2790086Z ++ set -ex -o pipefail 2025-08-26T19:48:49.2790441Z ++ [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-08-26T19:48:49.2790785Z ++ BUILD_TEST_LIBTORCH=0 2025-08-26T19:48:49.2793216Z ++ dirname .ci/pytorch/test.sh 2025-08-26T19:48:49.2799757Z + source .ci/pytorch/common-build.sh 2025-08-26T19:48:49.2806622Z ++ [[ linux-jammy-py3.13-clang12 != *win-* ]] 2025-08-26T19:48:49.2811963Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-26T19:48:49.2818707Z +++ cd .ci/pytorch 2025-08-26T19:48:49.2818975Z +++ pwd -P 2025-08-26T19:48:49.2821092Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-26T19:48:49.2821524Z ++ [[ linux-jammy-py3.13-clang12 == *-pch* ]] 2025-08-26T19:48:49.2821849Z ++ which sccache 2025-08-26T19:48:49.2840929Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-26T19:48:49.2841695Z ++ sccache --stop-server 2025-08-26T19:48:49.2895692Z ++ true 2025-08-26T19:48:49.2895944Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-26T19:48:49.2921057Z ++ trap_add sccache_epilogue EXIT 2025-08-26T19:48:49.2921463Z ++ trap_add_cmd=sccache_epilogue 2025-08-26T19:48:49.2921760Z ++ shift 2025-08-26T19:48:49.2921981Z ++ for trap_add_name in "$@" 2025-08-26T19:48:49.2928137Z ++++ trap -p EXIT 2025-08-26T19:48:49.2930368Z +++ eval 'extract_trap_cmd ' 2025-08-26T19:48:49.2930802Z ++++ extract_trap_cmd 2025-08-26T19:48:49.2931054Z ++++ printf '%s\n' '' 2025-08-26T19:48:49.2931398Z +++ printf '%s\n' sccache_epilogue 2025-08-26T19:48:49.2933125Z ++ trap -- ' 2025-08-26T19:48:49.2933552Z sccache_epilogue' EXIT 2025-08-26T19:48:49.2933999Z ++ [[ -n 1 ]] 2025-08-26T19:48:49.2934648Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-26T19:48:49.2935636Z Skipping sccache server initialization, setting environment variables 2025-08-26T19:48:49.2936145Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-26T19:48:49.2936462Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-26T19:48:49.2936820Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-26T19:48:49.2937285Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-26T19:48:49.2937717Z ++ export RUST_LOG=sccache::server=error 2025-08-26T19:48:49.2938059Z ++ RUST_LOG=sccache::server=error 2025-08-26T19:48:49.2938358Z ++ sccache --zero-stats 2025-08-26T19:48:49.3986303Z Statistics zeroed. 2025-08-26T19:48:49.3990496Z ++ which ccache 2025-08-26T19:48:49.4001390Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-08-26T19:48:49.4002062Z + [[ linux-jammy-py3.13-clang12 != *s390x* ]] 2025-08-26T19:48:49.4002424Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-26T19:48:49.4004743Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-26T19:48:49.4070637Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-26T19:48:49.4071089Z + trap_add cleanup_workspace EXIT 2025-08-26T19:48:49.4071474Z + trap_add_cmd=cleanup_workspace 2025-08-26T19:48:49.4071929Z + shift 2025-08-26T19:48:49.4072223Z + for trap_add_name in "$@" 2025-08-26T19:48:49.4077726Z +++ trap -p EXIT 2025-08-26T19:48:49.4079861Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-26T19:48:49.4080369Z sccache_epilogue'\'' EXIT' 2025-08-26T19:48:49.4080666Z +++ extract_trap_cmd trap -- ' 2025-08-26T19:48:49.4080962Z sccache_epilogue' EXIT 2025-08-26T19:48:49.4081215Z +++ printf '%s\n' ' 2025-08-26T19:48:49.4081460Z sccache_epilogue' 2025-08-26T19:48:49.4081862Z ++ printf '%s\n' cleanup_workspace 2025-08-26T19:48:49.4082619Z + trap -- ' 2025-08-26T19:48:49.4082843Z sccache_epilogue 2025-08-26T19:48:49.4083098Z cleanup_workspace' EXIT 2025-08-26T19:48:49.4083419Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-26T19:48:50.0385487Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-26T19:48:50.0586538Z + echo 'Environment variables:' 2025-08-26T19:48:50.0587137Z Environment variables: 2025-08-26T19:48:50.0587400Z + env 2025-08-26T19:48:50.0606049Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T19:48:50.0606915Z CONTINUE_THROUGH_ERROR=True 2025-08-26T19:48:50.0607425Z BUILD_ENVIRONMENT=linux-jammy-py3.13-clang12 2025-08-26T19:48:50.0608381Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-08-26T19:48:50.0608875Z HOSTNAME=302568cc1362 2025-08-26T19:48:50.0609677Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_6c7ab1ea-11ac-46e9-b635-787d21126455 2025-08-26T19:48:50.0610330Z GITHUB_ACTION=__run_2 2025-08-26T19:48:50.0610612Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-26T19:48:50.0610927Z GITHUB_RUN_NUMBER=350026 2025-08-26T19:48:50.0611200Z TEST_CONFIG=crossref 2025-08-26T19:48:50.0611460Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-26T19:48:50.0611898Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-26T19:48:50.0612234Z SCCACHE_IDLE_TIMEOUT=0 2025-08-26T19:48:50.0612777Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-26T19:48:50.0613142Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-26T19:48:50.0613739Z GITHUB_REF_TYPE=branch 2025-08-26T19:48:50.0614044Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:48:50.0614451Z XLA_CUDA= 2025-08-26T19:48:50.0614701Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-26T19:48:50.0615188Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-26T19:48:50.0615646Z *** 2025-08-26T19:48:50.0615936Z GITHUB_REPOSITORY_ID=65600975 2025-08-26T19:48:50.0616236Z GITHUB_ACTIONS=true 2025-08-26T19:48:50.0616552Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-26T19:48:50.0617006Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:48:50.0617415Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:48:50.0617971Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-08-26T19:48:50.0618526Z UCC_HOME=/usr 2025-08-26T19:48:50.0618754Z VERBOSE_TEST_LOGS=False 2025-08-26T19:48:50.0619085Z GITHUB_REF=refs/heads/main 2025-08-26T19:48:50.0619366Z SHARD_NUMBER=1 2025-08-26T19:48:50.0619613Z GITHUB_REF_PROTECTED=true 2025-08-26T19:48:50.0619938Z HOME=/var/lib/jenkins 2025-08-26T19:48:50.0620231Z GITHUB_API_URL=https://api.github.com 2025-08-26T19:48:50.0620632Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-26T19:48:50.0620936Z UCX_COMMIT= 2025-08-26T19:48:50.0621144Z USE_SYSTEM_NCCL=1 2025-08-26T19:48:50.0621438Z NUM_TEST_SHARDS=2 2025-08-26T19:48:50.0621672Z UCX_HOME=/usr 2025-08-26T19:48:50.0622325Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_6c7ab1ea-11ac-46e9-b635-787d21126455 2025-08-26T19:48:50.0623201Z JOB_NAME=linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge) 2025-08-26T19:48:50.0624068Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_6c7ab1ea-11ac-46e9-b635-787d21126455 2025-08-26T19:48:50.0624917Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-26T19:48:50.0625501Z GITHUB_EVENT_NAME=push 2025-08-26T19:48:50.0625775Z DASHBOARD_TAG= 2025-08-26T19:48:50.0626010Z GITHUB_RUN_ID=17248463620 2025-08-26T19:48:50.0626283Z INSTALLED_OPENBLAS= 2025-08-26T19:48:50.0626928Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_6c7ab1ea-11ac-46e9-b635-787d21126455 2025-08-26T19:48:50.0627714Z GITHUB_ACTOR=pytorchmergebot 2025-08-26T19:48:50.0627984Z PR_NUMBER= 2025-08-26T19:48:50.0628205Z DESIRED_CUDA= 2025-08-26T19:48:50.0628451Z GITHUB_RUN_ATTEMPT=1 2025-08-26T19:48:50.0628728Z ANACONDA_PYTHON_VERSION=3.13 2025-08-26T19:48:50.0629072Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-26T19:48:50.0629443Z TERM=vt100 2025-08-26T19:48:50.0629667Z INSTALLED_VISION=yes 2025-08-26T19:48:50.0629946Z BRANCH=main 2025-08-26T19:48:50.0630164Z SCCACHE_REGION=us-east-1 2025-08-26T19:48:50.0630449Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-26T19:48:50.0630746Z CUDA_PATH=/usr/local/cuda 2025-08-26T19:48:50.0631351Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-26T19:48:50.0632106Z GITHUB_SERVER_URL=https://github.com 2025-08-26T19:48:50.0632413Z UCC_COMMIT= 2025-08-26T19:48:50.0632647Z REENABLED_ISSUES= 2025-08-26T19:48:50.0632890Z DOCS= 2025-08-26T19:48:50.0633157Z SHLVL=1 2025-08-26T19:48:50.0633373Z MAX_JOBS=6 2025-08-26T19:48:50.0633606Z GITHUB_ACTOR_ID=97764156 2025-08-26T19:48:50.0633967Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:48:50.0634352Z GITHUB_REF_NAME=main 2025-08-26T19:48:50.0634746Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-26T19:48:50.0635193Z GITHUB_JOB=test 2025-08-26T19:48:50.0635434Z NO_TEST_TIMEOUT=False 2025-08-26T19:48:50.0635682Z TD_DISTRIBUTED=False 2025-08-26T19:48:50.0635963Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-26T19:48:50.0636278Z GITHUB_RETENTION_DAYS=90 2025-08-26T19:48:50.0636554Z OPENSSL_DIR=/opt/openssl 2025-08-26T19:48:50.0636819Z GITHUB_ACTION_REPOSITORY= 2025-08-26T19:48:50.0637699Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T19:48:50.0638620Z GITHUB_BASE_REF= 2025-08-26T19:48:50.0638868Z INSTALLED_ACL= 2025-08-26T19:48:50.0639225Z ARTIFACTS_FILE_SUFFIX=test-crossref-1-2-lf.linux.2xlarge_48944862581 2025-08-26T19:48:50.0639664Z CI=true 2025-08-26T19:48:50.0639898Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-26T19:48:50.0640242Z RUST_LOG=sccache::server=error 2025-08-26T19:48:50.0640517Z JOB_ID=48944862581 2025-08-26T19:48:50.0640755Z GITHUB_HEAD_REF= 2025-08-26T19:48:50.0640994Z GITHUB_ACTION_REF= 2025-08-26T19:48:50.0641296Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-26T19:48:50.0641650Z TEST_SHOWLOCALS=False 2025-08-26T19:48:50.0641914Z GITHUB_WORKFLOW=pull 2025-08-26T19:48:50.0642187Z DEBIAN_FRONTEND=noninteractive 2025-08-26T19:48:50.0642842Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_6c7ab1ea-11ac-46e9-b635-787d21126455 2025-08-26T19:48:50.0643504Z NO_TD=False 2025-08-26T19:48:50.0643751Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-26T19:48:50.0644075Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-26T19:48:50.0644403Z _=/usr/bin/env 2025-08-26T19:48:50.0644717Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-26T19:48:50.0749140Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch 2025-08-26T19:48:50.0750147Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-26T19:48:50.0750991Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib 2025-08-26T19:48:50.0751735Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/test 2025-08-26T19:48:50.0752197Z + BUILD_DIR=build 2025-08-26T19:48:50.0752461Z + BUILD_RENAMED_DIR=build_renamed 2025-08-26T19:48:50.0752776Z + BUILD_BIN_DIR=build/bin 2025-08-26T19:48:50.0753102Z + SHARD_NUMBER=1 2025-08-26T19:48:50.0753330Z + NUM_TEST_SHARDS=2 2025-08-26T19:48:50.0753622Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-26T19:48:50.0754060Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-26T19:48:50.0754530Z + export VALGRIND=ON 2025-08-26T19:48:50.0755024Z + VALGRIND=ON 2025-08-26T19:48:50.0755537Z + [[ linux-jammy-py3.13-clang12 == *clang9* ]] 2025-08-26T19:48:50.0756062Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-08-26T19:48:50.0756398Z + detect_cuda_arch 2025-08-26T19:48:50.0756673Z + [[ linux-jammy-py3.13-clang12 == *cuda* ]] 2025-08-26T19:48:50.0757040Z + [[ linux-jammy-py3.13-clang12 == *s390x* ]] 2025-08-26T19:48:50.0757372Z + [[ 0 == \1 ]] 2025-08-26T19:48:50.0757609Z + [[ True == \1 ]] 2025-08-26T19:48:50.0757871Z + [[ linux-jammy-py3.13-clang12 != *bazel* ]] 2025-08-26T19:48:50.0758234Z ++ realpath build/custom_test_artifacts 2025-08-26T19:48:50.0774324Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-26T19:48:50.0774853Z + [[ -n '' ]] 2025-08-26T19:48:50.0775118Z + echo 'Environment variables' 2025-08-26T19:48:50.0775407Z Environment variables 2025-08-26T19:48:50.0775868Z + env 2025-08-26T19:48:50.0782534Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T19:48:50.0783315Z CONTINUE_THROUGH_ERROR=True 2025-08-26T19:48:50.0783850Z BUILD_ENVIRONMENT=linux-jammy-py3.13-clang12 2025-08-26T19:48:50.0784659Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-08-26T19:48:50.0785094Z HOSTNAME=302568cc1362 2025-08-26T19:48:50.0785812Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_6c7ab1ea-11ac-46e9-b635-787d21126455 2025-08-26T19:48:50.0786534Z GITHUB_ACTION=__run_2 2025-08-26T19:48:50.0786815Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-26T19:48:50.0787117Z GITHUB_RUN_NUMBER=350026 2025-08-26T19:48:50.0787389Z TEST_CONFIG=crossref 2025-08-26T19:48:50.0787711Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-26T19:48:50.0788053Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-26T19:48:50.0788368Z SCCACHE_IDLE_TIMEOUT=0 2025-08-26T19:48:50.0788791Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-26T19:48:50.0789127Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-26T19:48:50.0789769Z GITHUB_REF_TYPE=branch 2025-08-26T19:48:50.0790062Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:48:50.0790406Z XLA_CUDA= 2025-08-26T19:48:50.0790647Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-26T19:48:50.0791151Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-26T19:48:50.0791482Z *** 2025-08-26T19:48:50.0791698Z GITHUB_REPOSITORY_ID=65600975 2025-08-26T19:48:50.0791990Z GITHUB_ACTIONS=true 2025-08-26T19:48:50.0792302Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-26T19:48:50.0792701Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:48:50.0793123Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:48:50.0793722Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-08-26T19:48:50.0794212Z UCC_HOME=/usr 2025-08-26T19:48:50.0794465Z TORCH_SERIALIZATION_DEBUG=1 2025-08-26T19:48:50.0794745Z VERBOSE_TEST_LOGS=False 2025-08-26T19:48:50.0795025Z GITHUB_REF=refs/heads/main 2025-08-26T19:48:50.0795308Z SHARD_NUMBER=1 2025-08-26T19:48:50.0795558Z GITHUB_REF_PROTECTED=true 2025-08-26T19:48:50.0795825Z HOME=/var/lib/jenkins 2025-08-26T19:48:50.0796114Z GITHUB_API_URL=https://api.github.com 2025-08-26T19:48:50.0796461Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-26T19:48:50.0796765Z UCX_COMMIT= 2025-08-26T19:48:50.0796973Z USE_SYSTEM_NCCL=1 2025-08-26T19:48:50.0797213Z NUM_TEST_SHARDS=2 2025-08-26T19:48:50.0797448Z UCX_HOME=/usr 2025-08-26T19:48:50.0798035Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_6c7ab1ea-11ac-46e9-b635-787d21126455 2025-08-26T19:48:50.0798901Z JOB_NAME=linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge) 2025-08-26T19:48:50.0799705Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_6c7ab1ea-11ac-46e9-b635-787d21126455 2025-08-26T19:48:50.0800548Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-26T19:48:50.0801079Z GITHUB_EVENT_NAME=push 2025-08-26T19:48:50.0801331Z DASHBOARD_TAG= 2025-08-26T19:48:50.0801580Z GITHUB_RUN_ID=17248463620 2025-08-26T19:48:50.0801853Z INSTALLED_OPENBLAS= 2025-08-26T19:48:50.0802498Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_6c7ab1ea-11ac-46e9-b635-787d21126455 2025-08-26T19:48:50.0803274Z GITHUB_ACTOR=pytorchmergebot 2025-08-26T19:48:50.0803545Z PR_NUMBER= 2025-08-26T19:48:50.0803767Z DESIRED_CUDA= 2025-08-26T19:48:50.0804001Z GITHUB_RUN_ATTEMPT=1 2025-08-26T19:48:50.0804240Z VALGRIND=ON 2025-08-26T19:48:50.0804486Z ANACONDA_PYTHON_VERSION=3.13 2025-08-26T19:48:50.0804836Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-26T19:48:50.0805200Z TERM=vt100 2025-08-26T19:48:50.0805412Z INSTALLED_VISION=yes 2025-08-26T19:48:50.0805665Z BRANCH=main 2025-08-26T19:48:50.0805895Z SCCACHE_REGION=us-east-1 2025-08-26T19:48:50.0806179Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-26T19:48:50.0806462Z CUDA_PATH=/usr/local/cuda 2025-08-26T19:48:50.0807117Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-26T19:48:50.0807785Z GITHUB_SERVER_URL=https://github.com 2025-08-26T19:48:50.0808110Z UCC_COMMIT= 2025-08-26T19:48:50.0808324Z REENABLED_ISSUES= 2025-08-26T19:48:50.0808566Z DOCS= 2025-08-26T19:48:50.0808774Z SHLVL=1 2025-08-26T19:48:50.0808985Z MAX_JOBS=6 2025-08-26T19:48:50.0809197Z GITHUB_ACTOR_ID=97764156 2025-08-26T19:48:50.0809559Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:48:50.0809956Z GITHUB_REF_NAME=main 2025-08-26T19:48:50.0810369Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-26T19:48:50.0810804Z GITHUB_JOB=test 2025-08-26T19:48:50.0811072Z NO_TEST_TIMEOUT=False 2025-08-26T19:48:50.0811340Z TD_DISTRIBUTED=False 2025-08-26T19:48:50.0811675Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-26T19:48:50.0811985Z GITHUB_RETENTION_DAYS=90 2025-08-26T19:48:50.0812272Z OPENSSL_DIR=/opt/openssl 2025-08-26T19:48:50.0812562Z GITHUB_ACTION_REPOSITORY= 2025-08-26T19:48:50.0813453Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T19:48:50.0814301Z GITHUB_BASE_REF= 2025-08-26T19:48:50.0814535Z INSTALLED_ACL= 2025-08-26T19:48:50.0814913Z ARTIFACTS_FILE_SUFFIX=test-crossref-1-2-lf.linux.2xlarge_48944862581 2025-08-26T19:48:50.0815361Z CI=true 2025-08-26T19:48:50.0815601Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-26T19:48:50.0815985Z RUST_LOG=sccache::server=error 2025-08-26T19:48:50.0816276Z JOB_ID=48944862581 2025-08-26T19:48:50.0816523Z GITHUB_HEAD_REF= 2025-08-26T19:48:50.0816755Z GITHUB_ACTION_REF= 2025-08-26T19:48:50.0817063Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-26T19:48:50.0817441Z TEST_SHOWLOCALS=False 2025-08-26T19:48:50.0817709Z GITHUB_WORKFLOW=pull 2025-08-26T19:48:50.0817967Z DEBIAN_FRONTEND=noninteractive 2025-08-26T19:48:50.0818623Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_6c7ab1ea-11ac-46e9-b635-787d21126455 2025-08-26T19:48:50.0819297Z NO_TD=False 2025-08-26T19:48:50.0819536Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-26T19:48:50.0819857Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-26T19:48:50.0820168Z _=/usr/bin/env 2025-08-26T19:48:50.0820407Z + echo 'Testing pytorch' 2025-08-26T19:48:50.0820675Z Testing pytorch 2025-08-26T19:48:50.0820967Z + export LANG=C.UTF-8 2025-08-26T19:48:50.0821220Z + LANG=C.UTF-8 2025-08-26T19:48:50.0836163Z + PR_NUMBER= 2025-08-26T19:48:50.0836579Z + [[ crossref == \d\e\f\a\u\l\t ]] 2025-08-26T19:48:50.0837085Z + [[ crossref == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-26T19:48:50.0837587Z + [[ crossref == \s\l\o\w ]] 2025-08-26T19:48:50.0838167Z + [[ linux-jammy-py3.13-clang12 == *slow-gradcheck* ]] 2025-08-26T19:48:50.0838583Z + [[ linux-jammy-py3.13-clang12 == *cuda* ]] 2025-08-26T19:48:50.0838948Z + [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-08-26T19:48:50.0839294Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-08-26T19:48:50.0839651Z + [[ crossref == *crossref* ]] 2025-08-26T19:48:50.0839987Z + export PYTORCH_TEST_WITH_CROSSREF=1 2025-08-26T19:48:50.0840319Z + PYTORCH_TEST_WITH_CROSSREF=1 2025-08-26T19:48:50.0840624Z + [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-08-26T19:48:50.0840979Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-08-26T19:48:50.0841343Z + [[ linux-jammy-py3.13-clang12 != *-bazel-* ]] 2025-08-26T19:48:50.0841694Z + pip_install ninja==1.10.2 2025-08-26T19:48:50.0842065Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-26T19:48:50.0842553Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-26T19:48:50.5175009Z Collecting ninja==1.10.2 2025-08-26T19:48:50.5370129Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-26T19:48:50.5505880Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-26T19:48:50.7241240Z Installing collected packages: ninja 2025-08-26T19:48:50.7241980Z Attempting uninstall: ninja 2025-08-26T19:48:50.7278613Z Found existing installation: ninja 1.11.1.3 2025-08-26T19:48:50.7299969Z Uninstalling ninja-1.11.1.3: 2025-08-26T19:48:50.7353299Z Successfully uninstalled ninja-1.11.1.3 2025-08-26T19:48:50.7587726Z Successfully installed ninja-1.10.2 2025-08-26T19:48:50.8246636Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T19:48:50.8248328Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T19:48:50.8249664Z + [[ linux-jammy-py3.13-clang12 == *aarch64* ]] 2025-08-26T19:48:50.8250380Z + [[ linux-jammy-py3.13-clang12 == *asan* ]] 2025-08-26T19:48:50.8250881Z + [[ linux-jammy-py3.13-clang12 == *-debug* ]] 2025-08-26T19:48:50.8251279Z + [[ linux-jammy-py3.13-clang12 != *-bazel-* ]] 2025-08-26T19:48:50.8252079Z + echo 'We are not in debug mode: linux-jammy-py3.13-clang12. Expect the assertion to pass' 2025-08-26T19:48:50.8252759Z We are not in debug mode: linux-jammy-py3.13-clang12. Expect the assertion to pass 2025-08-26T19:48:50.8253244Z + cd test 2025-08-26T19:48:50.8253609Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-26T19:48:52.2417295Z + [[ crossref == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-26T19:48:52.2417745Z + [[ crossref == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-26T19:48:52.2418138Z + [[ crossref == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-26T19:48:52.2421751Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-26T19:48:52.2422285Z + [[ crossref == *pr_time_benchmarks* ]] 2025-08-26T19:48:52.2422666Z + [[ crossref == *dynamo_eager* ]] 2025-08-26T19:48:52.2423245Z + [[ crossref == *aot_eager* ]] 2025-08-26T19:48:52.2423696Z + [[ crossref == *aot_inductor* ]] 2025-08-26T19:48:52.2424053Z + [[ crossref == *max_autotune_inductor* ]] 2025-08-26T19:48:52.2424400Z + [[ crossref == *inductor* ]] 2025-08-26T19:48:52.2424696Z + [[ crossref == *dynamic* ]] 2025-08-26T19:48:52.2424993Z + [[ crossref == *cpu* ]] 2025-08-26T19:48:52.2425306Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-08-26T19:48:52.2445751Z + [[ linux-jammy-py3.13-clang12 == *libtorch* ]] 2025-08-26T19:48:52.2457033Z + [[ linux-jammy-py3.13-clang12 == *-bazel-* ]] 2025-08-26T19:48:52.2457745Z + cd test 2025-08-26T19:48:52.2458141Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-26T19:48:53.3302167Z PyTorch built with: 2025-08-26T19:48:53.3302623Z - GCC 4.2 2025-08-26T19:48:53.3302949Z - C++ Version: 201703 2025-08-26T19:48:53.3303309Z - clang 12.0.1 2025-08-26T19:48:53.3304139Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-26T19:48:53.3305238Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-26T19:48:53.3305932Z - OpenMP 201811 2025-08-26T19:48:53.3306338Z - LAPACK is enabled (usually provided by MKL) 2025-08-26T19:48:53.3306855Z - NNPACK is enabled 2025-08-26T19:48:53.3307242Z - CPU capability usage: AVX512 2025-08-26T19:48:53.3315610Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=a03cc53e6f6e2fe67316cb8c74c25f5b953f445b, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-08-26T19:48:53.3324888Z 2025-08-26T19:48:53.5853722Z + cd test 2025-08-26T19:48:53.5854154Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-26T19:48:54.6671131Z ATen/Parallel: 2025-08-26T19:48:54.6671600Z at::get_num_threads() : 4 2025-08-26T19:48:54.6672037Z at::get_num_interop_threads() : 4 2025-08-26T19:48:54.6672454Z OpenMP 201811 2025-08-26T19:48:54.6672801Z omp_get_max_threads() : 4 2025-08-26T19:48:54.6673765Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-26T19:48:54.6675086Z mkl_get_max_threads() : 4 2025-08-26T19:48:54.6675670Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-26T19:48:54.6676338Z std::thread::hardware_concurrency() : 8 2025-08-26T19:48:54.6676826Z Environment variables: 2025-08-26T19:48:54.6677213Z OMP_NUM_THREADS : [not set] 2025-08-26T19:48:54.6677632Z MKL_NUM_THREADS : [not set] 2025-08-26T19:48:54.6678076Z ATen parallel backend: OpenMP 2025-08-26T19:48:54.6678366Z 2025-08-26T19:48:54.9234829Z + [[ crossref == *numpy_2* ]] 2025-08-26T19:48:54.9235459Z + [[ linux-jammy-py3.13-clang12 == *aarch64* ]] 2025-08-26T19:48:54.9236137Z + [[ crossref == *backward* ]] 2025-08-26T19:48:54.9236741Z + [[ crossref == *xla* ]] 2025-08-26T19:48:54.9237026Z + [[ crossref == *vllm* ]] 2025-08-26T19:48:54.9237296Z + [[ crossref == *executorch* ]] 2025-08-26T19:48:54.9237604Z + [[ crossref == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-26T19:48:54.9237962Z + [[ linux-jammy-py3.13-clang12 == *libtorch* ]] 2025-08-26T19:48:54.9238358Z + [[ crossref == distributed ]] 2025-08-26T19:48:54.9238659Z + [[ crossref == *operator_benchmark* ]] 2025-08-26T19:48:54.9239006Z + [[ crossref == *inductor_distributed* ]] 2025-08-26T19:48:54.9239348Z + [[ crossref == *inductor-halide* ]] 2025-08-26T19:48:54.9239686Z + [[ crossref == *inductor-triton-cpu* ]] 2025-08-26T19:48:54.9240035Z + [[ crossref == *inductor-micro-benchmark* ]] 2025-08-26T19:48:54.9240388Z + [[ crossref == *huggingface* ]] 2025-08-26T19:48:54.9240690Z + [[ crossref == *timm* ]] 2025-08-26T19:48:54.9240971Z + [[ crossref == cachebench ]] 2025-08-26T19:48:54.9241260Z + [[ crossref == verify_cachebench ]] 2025-08-26T19:48:54.9241584Z + [[ crossref == *torchbench* ]] 2025-08-26T19:48:54.9241914Z + [[ crossref == *inductor_cpp_wrapper* ]] 2025-08-26T19:48:54.9242246Z + [[ crossref == *inductor* ]] 2025-08-26T19:48:54.9242570Z + [[ crossref == *einops* ]] 2025-08-26T19:48:54.9242864Z + [[ crossref == *dynamo_wrapped* ]] 2025-08-26T19:48:54.9243212Z + [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-08-26T19:48:54.9243540Z + [[ 1 == 1 ]] 2025-08-26T19:48:54.9243763Z + [[ 2 -gt 1 ]] 2025-08-26T19:48:54.9244029Z + test_lazy_tensor_meta_reference_disabled 2025-08-26T19:48:54.9244446Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-08-26T19:48:54.9244893Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-08-26T19:48:54.9245336Z + echo 'Testing lazy tensor operations without meta reference' 2025-08-26T19:48:54.9245808Z Testing lazy tensor operations without meta reference 2025-08-26T19:48:54.9246306Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose 2025-08-26T19:48:57.2306098Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T19:48:57.2307998Z import pkg_resources 2025-08-26T19:48:58.7630320Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-08-26T19:48:58.8125499Z Ignoring disabled issues: [''] 2025-08-26T19:48:58.8255029Z Found test times from artifacts 2025-08-26T19:48:58.8774477Z Found test times from artifacts 2025-08-26T19:48:58.8789599Z Running all tests 2025-08-26T19:48:58.8792828Z Running parallel tests on 3 processes 2025-08-26T19:48:58.8793607Z Name: tests to run (est. time: 0.52min) 2025-08-26T19:48:58.8794173Z Serial tests (0): 2025-08-26T19:48:58.8794415Z Parallel tests (1): 2025-08-26T19:48:58.8794740Z lazy/test_ts_opinfo 1/1 2025-08-26T19:48:58.8795155Z Name: excluded (est. time: 0.0min) 2025-08-26T19:48:58.8795583Z Serial tests (0): 2025-08-26T19:48:58.8795914Z Parallel tests (0): 2025-08-26T19:48:58.8796581Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-26 19:48:58.879429] 2025-08-26T19:48:58.8797101Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:48:58.8800728Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:48:58.879773] 2025-08-26T19:49:03.0499523Z 2025-08-26T19:49:03.0500733Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_f62e0551f598ec83_.log 2025-08-26T19:49:03.0501503Z Running 0 items in this shard: 2025-08-26T19:49:03.0501713Z 2025-08-26T19:49:03.3484180Z Uploading artifacts took 0.30 seconds 2025-08-26T19:49:05.7466388Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T19:49:05.7469335Z import pkg_resources 2025-08-26T19:49:05.7771627Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T19:49:05.7774458Z import pkg_resources 2025-08-26T19:49:05.7857150Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T19:49:05.7859956Z import pkg_resources 2025-08-26T19:49:05.8628434Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-26 19:49:05.862447] 2025-08-26T19:49:05.8629289Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:49:05.8632236Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:49:05.862808] 2025-08-26T19:49:21.8506412Z 2025-08-26T19:49:21.8507746Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_6d1bd9fdd998d982_.log 2025-08-26T19:49:21.8720652Z Running 292 items in this shard: test/lazy/test_ts_opinfo.py::TestLazyTensor::testConvolutionBackward, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_tensor_ctr, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_view_mark_step_preserved, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcdiv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bernoulli_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_pow_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic 2025-08-26T19:49:21.8939055Z 2025-08-26T19:49:22.6584596Z Running test batch 'tests to run' cost 23.78 seconds 2025-08-26T19:49:23.4334220Z 2025-08-26T19:49:23.4334747Z real 0m28.510s 2025-08-26T19:49:23.4335157Z user 0m58.068s 2025-08-26T19:49:23.4335561Z sys 0m3.448s 2025-08-26T19:49:23.4336106Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE 2025-08-26T19:49:23.4336518Z + test_without_numpy 2025-08-26T19:49:23.4339555Z ++ dirname .ci/pytorch/test.sh 2025-08-26T19:49:23.4351127Z + pushd .ci/pytorch 2025-08-26T19:49:23.4351654Z ~/workspace/.ci/pytorch ~/workspace 2025-08-26T19:49:23.4352658Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');from unittest import TestCase;import torch;x=torch.randn(3,3);TestCase().assertRaises(RuntimeError, lambda: x.numpy())' 2025-08-26T19:49:24.0951157Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-08-26T19:49:24.0952733Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-08-26T19:49:24.7414030Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2025-08-26T19:49:25.3691005Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-08-26T19:49:25.3692494Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-08-26T19:49:25.7540866Z tensor([0., 1.]) 2025-08-26T19:49:26.0118855Z + [[ crossref == *dynamo_wrapped* ]] 2025-08-26T19:49:26.0119472Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx' 2025-08-26T19:49:26.6430234Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-08-26T19:49:26.6432013Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-08-26T19:49:27.3213318Z + popd 2025-08-26T19:49:27.3213607Z ~/workspace 2025-08-26T19:49:27.3213841Z + install_torchvision 2025-08-26T19:49:27.3214104Z + local orig_preload 2025-08-26T19:49:27.3214360Z + local commit 2025-08-26T19:49:27.3217106Z ++ get_pinned_commit vision 2025-08-26T19:49:27.3217476Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-26T19:49:27.3240094Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:49:27.3240600Z + orig_preload= 2025-08-26T19:49:27.3240957Z + '[' -n '' ']' 2025-08-26T19:49:27.3241393Z + [[ linux-jammy-py3.13-clang12 == *cuda* ]] 2025-08-26T19:49:27.3242231Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-26T19:49:27.3243204Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:49:27.3243806Z + local wheel_dir=dist/vision 2025-08-26T19:49:27.3244129Z + local found_whl=0 2025-08-26T19:49:27.3244403Z + for file in "${wheel_dir}"/*.whl 2025-08-26T19:49:27.3244704Z + [[ -f dist/vision/*.whl ]] 2025-08-26T19:49:27.3244978Z + '[' 0 == 0 ']' 2025-08-26T19:49:27.3245746Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/vision git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:49:27.6378348Z Collecting git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:49:27.6382901Z Cloning https://github.com/pytorch/vision.git (to revision 966da7e46f65d6d49df3e31214470a4fe5cc8e66) to /tmp/pip-req-build-s00rd8m3 2025-08-26T19:49:27.6401113Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-s00rd8m3 2025-08-26T19:49:29.3733038Z Running command git rev-parse -q --verify 'sha^966da7e46f65d6d49df3e31214470a4fe5cc8e66' 2025-08-26T19:49:29.3751994Z Running command git fetch -q https://github.com/pytorch/vision.git 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:49:29.5030728Z Running command git checkout -q 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:49:29.8095934Z Resolved https://github.com/pytorch/vision.git to commit 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:49:31.7743910Z Preparing metadata (setup.py) ... [?25l- \ | done 2025-08-26T19:49:31.7744986Z [?25hBuilding wheels for collected packages: torchvision 2025-08-26T19:49:31.7749644Z  DEPRECATION: Building 'torchvision' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchvision'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-08-26T19:51:08.4910165Z  Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done 2025-08-26T19:51:08.4949953Z [?25h Created wheel for torchvision: filename=torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl size=1200297 sha256=ed4122439d753db735ed6307817015c76e7257702245150b95be0eae9d7556ab 2025-08-26T19:51:08.4952323Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/89/53/07/16d05bff0990e585bfa232438657da6e5e4f6d0cea71bd3e09 2025-08-26T19:51:08.4990152Z Successfully built torchvision 2025-08-26T19:51:08.5878016Z + for file in "${wheel_dir}"/*.whl 2025-08-26T19:51:08.5878617Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl 2025-08-26T19:51:08.5883009Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl') 2025-08-26T19:51:08.5883523Z + local args 2025-08-26T19:51:08.5884442Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl == *\ * ]] 2025-08-26T19:51:08.5885314Z + for path in "${args[@]}" 2025-08-26T19:51:08.5886001Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl' 2025-08-26T19:51:08.5886726Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl 2025-08-26T19:51:08.5887544Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl 2025-08-26T19:51:08.9077741Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl 2025-08-26T19:51:08.9177732Z Installing collected packages: torchvision 2025-08-26T19:51:09.3822798Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-26T19:51:09.4280529Z + '[' -n '' ']' 2025-08-26T19:51:09.4281019Z + test_python_shard 1 2025-08-26T19:51:09.4285431Z + [[ -z 2 ]] 2025-08-26T19:51:09.4286162Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 1 2 --verbose --upload-artifacts-while-running 2025-08-26T19:51:11.7462216Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T19:51:11.7463904Z import pkg_resources 2025-08-26T19:51:13.2526814Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-08-26T19:51:13.2653325Z Found test times from artifacts 2025-08-26T19:51:13.3167787Z Found test times from artifacts 2025-08-26T19:51:13.3184065Z Running all tests 2025-08-26T19:51:13.3460025Z Running parallel tests on 3 processes 2025-08-26T19:51:13.3477560Z Name: tests to run (est. time: 98.63min) 2025-08-26T19:51:13.3478149Z Serial tests (47): 2025-08-26T19:51:13.3478732Z inductor/test_flex_attention 1/1 2025-08-26T19:51:13.3479207Z test_ci_sanity_check_fail 1/1 2025-08-26T19:51:13.3479500Z test_overrides 1/1 2025-08-26T19:51:13.3479764Z test_reductions 1/1 2025-08-26T19:51:13.3480255Z test_tensor_creation_ops 1/1 2025-08-26T19:51:13.3480817Z test_cpp_extensions_mtia_backend 1/1 2025-08-26T19:51:13.3481127Z test_nn 1/1 2025-08-26T19:51:13.3481395Z test_cpp_extensions_stream_and_event 1/1 2025-08-26T19:51:13.3481724Z doctests 1/1 2025-08-26T19:51:13.3481980Z inductor/test_max_autotune 1/1 2025-08-26T19:51:13.3482290Z inductor/test_benchmark_fusion 1/1 2025-08-26T19:51:13.3482623Z inductor/test_cutlass_backend 1/1 2025-08-26T19:51:13.3482961Z inductor/test_distributed_patterns 1/1 2025-08-26T19:51:13.3483310Z dynamo/test_fake_distributed 1/1 2025-08-26T19:51:13.3483603Z test_utils 1/1 2025-08-26T19:51:13.3483840Z test_fx 1/1 2025-08-26T19:51:13.3484105Z test_transformers_privateuse1 1/1 2025-08-26T19:51:13.3484729Z test_cpp_api_parity 1/1 2025-08-26T19:51:13.3485012Z test_extension_utils 1/1 2025-08-26T19:51:13.3485300Z test_openreg 1/1 2025-08-26T19:51:13.3485558Z test_show_pickle 1/1 2025-08-26T19:51:13.3485822Z test_torch 1/1 2025-08-26T19:51:13.3486055Z test_tensorexpr 1/1 2025-08-26T19:51:13.3486337Z test_namedtuple_return_api 1/1 2025-08-26T19:51:13.3486658Z test_multiprocessing 1/1 2025-08-26T19:51:13.3486957Z test_autograd_fallback 1/1 2025-08-26T19:51:13.3487324Z test_fake_tensor 1/1 2025-08-26T19:51:13.3487599Z test_python_dispatch 1/1 2025-08-26T19:51:13.3487887Z test_autocast 1/1 2025-08-26T19:51:13.3488149Z test_jit_disabled 1/1 2025-08-26T19:51:13.3488404Z test_dispatch 1/1 2025-08-26T19:51:13.3488666Z test_native_mha 1/1 2025-08-26T19:51:13.3488941Z test_sort_and_select 1/1 2025-08-26T19:51:13.3489237Z test_cpp_extensions_jit 1/1 2025-08-26T19:51:13.3489519Z nn/test_pooling 1/1 2025-08-26T19:51:13.3489795Z nn/test_convolution 1/1 2025-08-26T19:51:13.3490207Z test_multiprocessing_spawn 1/1 2025-08-26T19:51:13.3490516Z test_cuda_primary_ctx 1/1 2025-08-26T19:51:13.3490817Z test_mobile_optimizer 1/1 2025-08-26T19:51:13.3491107Z test_cuda_trace 1/1 2025-08-26T19:51:13.3491382Z test_cuda_nvml_based_avail 1/1 2025-08-26T19:51:13.3491680Z test_spectral_ops 1/1 2025-08-26T19:51:13.3491988Z distributions/test_distributions 1/1 2025-08-26T19:51:13.3492344Z test_cpp_extensions_aot_no_ninja 1/1 2025-08-26T19:51:13.3492677Z test_autoload_disable 1/1 2025-08-26T19:51:13.3492961Z test_autoload_enable 1/1 2025-08-26T19:51:13.3493267Z test_cpp_extensions_aot_ninja 1/1 2025-08-26T19:51:13.3493587Z Parallel tests (271): 2025-08-26T19:51:13.3493879Z inductor/test_aot_inductor_arrayref 1/1 2025-08-26T19:51:13.3494213Z inductor/test_extension_backend 1/1 2025-08-26T19:51:13.3494586Z inductor/test_torchinductor_dynamic_shapes 1/1 2025-08-26T19:51:13.3494959Z inductor/test_triton_kernels 1/1 2025-08-26T19:51:13.3495277Z dynamo/test_utils 1/1 2025-08-26T19:51:13.3495560Z inductor/test_cpu_cpp_wrapper 1/1 2025-08-26T19:51:13.3495902Z inductor/test_compile_subprocess 1/1 2025-08-26T19:51:13.3496232Z inductor/test_memory 1/1 2025-08-26T19:51:13.3496535Z inductor/test_inductor_freezing 1/1 2025-08-26T19:51:13.3496847Z dynamo/test_package 1/1 2025-08-26T19:51:13.3497130Z dynamo/test_logging 1/1 2025-08-26T19:51:13.3497421Z dynamo/test_structured_trace 1/1 2025-08-26T19:51:13.3497741Z inductor/test_torchbind 1/1 2025-08-26T19:51:13.3498033Z dynamo/test_error_messages 1/1 2025-08-26T19:51:13.3498354Z dynamo/test_aot_autograd_cache 1/1 2025-08-26T19:51:13.3498666Z dynamo/test_misc 1/1 2025-08-26T19:51:13.3498941Z dynamo/test_subclasses 1/1 2025-08-26T19:51:13.3499231Z functorch/test_aotdispatch 2/6 2025-08-26T19:51:13.3499549Z functorch/test_aotdispatch 6/6 2025-08-26T19:51:13.3499851Z test_indexing 1/1 2025-08-26T19:51:13.3500116Z test_type_promotion 1/1 2025-08-26T19:51:13.3500407Z functorch/test_eager_transforms 1/1 2025-08-26T19:51:13.3500744Z inductor/test_flex_decoding 1/1 2025-08-26T19:51:13.3501111Z export/test_export_training_ir_to_run_decomp 1/1 2025-08-26T19:51:13.3501504Z inductor/test_torchinductor_opinfo 1/1 2025-08-26T19:51:13.3501871Z dynamo/cpython/3_13/test_generator_stop 1/1 2025-08-26T19:51:13.3502259Z dynamo/cpython/3_13/test_exception_variations 1/1 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dynamo/cpython/3_13/test_complex 1/1 2025-08-26T19:51:13.3513272Z inductor/test_external_callables 1/1 2025-08-26T19:51:13.3513616Z inductor/test_triton_syntax 1/1 2025-08-26T19:51:13.3513953Z inductor/test_pad_mm 1/1 2025-08-26T19:51:13.3514270Z inductor/test_cpp_wrapper_hipify 1/1 2025-08-26T19:51:13.3514615Z inductor/test_segmented_tree 1/1 2025-08-26T19:51:13.3514950Z inductor/test_triton_extension_backend 1/1 2025-08-26T19:51:13.3515311Z inductor/test_b2b_gemm 1/1 2025-08-26T19:51:13.3515620Z inductor/test_indexing 1/1 2025-08-26T19:51:13.3515922Z inductor/test_fx_fusion 1/1 2025-08-26T19:51:13.3516243Z export/test_functionalized_assertions 1/1 2025-08-26T19:51:13.3516617Z export/test_unflatten_training_ir 1/1 2025-08-26T19:51:13.3516965Z inductor/test_ck_backend 1/1 2025-08-26T19:51:13.3517276Z dynamo/test_backends 1/1 2025-08-26T19:51:13.3517561Z inductor/test_metrics 1/1 2025-08-26T19:51:13.3517872Z inductor/test_autoheuristic 1/1 2025-08-26T19:51:13.3518207Z dynamo/test_inline_and_install 1/1 2025-08-26T19:51:13.3518538Z test_model_exports_to_core_aten 1/1 2025-08-26T19:51:13.3518856Z export/test_tree_utils 1/1 2025-08-26T19:51:13.3519164Z inductor/test_remote_cache 1/1 2025-08-26T19:51:13.3519485Z inductor/test_minifier_utils 1/1 2025-08-26T19:51:13.3519803Z dynamo/test_decorators 1/1 2025-08-26T19:51:13.3520083Z inductor/test_utils 1/1 2025-08-26T19:51:13.3520386Z inductor/test_subgraph_choice 1/1 2025-08-26T19:51:13.3520711Z export/test_serdes 1/1 2025-08-26T19:51:13.3521015Z inductor/test_cooperative_reductions 1/1 2025-08-26T19:51:13.3521383Z export/test_export_with_inline_and_install 1/1 2025-08-26T19:51:13.3521811Z dynamo/cpython/3_13/test_unittest/test_assertions 1/1 2025-08-26T19:51:13.3522203Z inductor/test_foreach 1/1 2025-08-26T19:51:13.3522499Z inductor/test_debug_trace 1/1 2025-08-26T19:51:13.3522790Z dynamo/test_interop 1/1 2025-08-26T19:51:13.3523071Z inductor/test_fp8 1/1 2025-08-26T19:51:13.3523368Z inductor/test_kernel_optimization 1/1 2025-08-26T19:51:13.3523716Z inductor/test_memory_planning 1/1 2025-08-26T19:51:13.3524031Z dynamo/test_buffers_override 1/1 2025-08-26T19:51:13.3524357Z inductor/test_combo_kernels 1/1 2025-08-26T19:51:13.3524678Z inductor/test_best_config 1/1 2025-08-26T19:51:13.3524988Z dynamo/test_sdpa 1/1 2025-08-26T19:51:13.3525256Z dynamo/test_ctx_manager 1/1 2025-08-26T19:51:13.3525656Z export/test_tools 1/1 2025-08-26T19:51:13.3525952Z dynamo/test_pre_dispatch 1/1 2025-08-26T19:51:13.3526263Z inductor/test_cutlass_evt 1/1 2025-08-26T19:51:13.3526580Z inductor/test_decompose_mem_bound_mm 1/1 2025-08-26T19:51:13.3526931Z inductor/test_helion_kernels 1/1 2025-08-26T19:51:13.3527246Z dynamo/test_view 1/1 2025-08-26T19:51:13.3527524Z dynamo/test_subgraphs 1/1 2025-08-26T19:51:13.3527816Z inductor/test_multi_kernel 1/1 2025-08-26T19:51:13.3528147Z inductor/test_inductor_scheduler 1/1 2025-08-26T19:51:13.3528490Z inductor/test_split_cat_fx_passes 1/1 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dynamo/test_guard_serialization 1/1 2025-08-26T19:51:13.3534322Z dynamo/test_install_free_tensors 1/1 2025-08-26T19:51:13.3534651Z dynamo/test_after_aot 1/1 2025-08-26T19:51:13.3534951Z inductor/test_layout_optim 1/1 2025-08-26T19:51:13.3535247Z export/test_passes 1/1 2025-08-26T19:51:13.3535550Z inductor/test_mkldnn_pattern_matcher 1/1 2025-08-26T19:51:13.3535899Z dynamo/test_sources 1/1 2025-08-26T19:51:13.3536193Z inductor/test_padding 1/1 2025-08-26T19:51:13.3536481Z export/test_export_opinfo 1/1 2025-08-26T19:51:13.3536803Z inductor/test_needs_exact_strides 1/1 2025-08-26T19:51:13.3537144Z nn/test_multihead_attention 1/1 2025-08-26T19:51:13.3537468Z inductor/test_minifier_isolate 1/1 2025-08-26T19:51:13.3537781Z export/test_upgrader 1/1 2025-08-26T19:51:13.3538071Z export/test_export 1/1 2025-08-26T19:51:13.3538379Z dynamo/test_backward_higher_order_ops 1/1 2025-08-26T19:51:13.3538721Z export/test_swap 1/1 2025-08-26T19:51:13.3538982Z dynamo/test_export 1/1 2025-08-26T19:51:13.3539265Z dynamo/test_flat_apply 1/1 2025-08-26T19:51:13.3539578Z dynamo/test_verify_correctness 1/1 2025-08-26T19:51:13.3539922Z inductor/test_unbacked_symints 1/1 2025-08-26T19:51:13.3540238Z dynamo/test_cudagraphs 1/1 2025-08-26T19:51:13.3540543Z export/test_unflatten 1/1 2025-08-26T19:51:13.3540873Z inductor/test_efficient_conv_bn_eval 1/1 2025-08-26T19:51:13.3541222Z export/test_nativert 1/1 2025-08-26T19:51:13.3541500Z inductor/test_mmdecomp 1/1 2025-08-26T19:51:13.3541798Z dynamo/test_unspec 1/1 2025-08-26T19:51:13.3542090Z dynamo/test_compiler_bisector 1/1 2025-08-26T19:51:13.3542430Z dynamo/test_graph_deduplication 1/1 2025-08-26T19:51:13.3542744Z export/test_schema 1/1 2025-08-26T19:51:13.3543039Z dynamo/test_input_attr_tracking 1/1 2025-08-26T19:51:13.3543360Z nn/test_pruning 1/1 2025-08-26T19:51:13.3543627Z test_pruning_op 1/1 2025-08-26T19:51:13.3543881Z export/test_hop 1/1 2025-08-26T19:51:13.3544157Z export/test_converter 1/1 2025-08-26T19:51:13.3544457Z dynamo/test_torchrec 1/1 2025-08-26T19:51:13.3544755Z export/test_pass_infra 1/1 2025-08-26T19:51:13.3545045Z dynamo/test_guard_manager 1/1 2025-08-26T19:51:13.3545390Z dynamo/test_activation_checkpointing 1/1 2025-08-26T19:51:13.3545735Z dynamo/test_exc 1/1 2025-08-26T19:51:13.3546086Z export/test_lift_unlift 1/1 2025-08-26T19:51:13.3546380Z export/test_serialize 1/1 2025-08-26T19:51:13.3546682Z dynamo/test_hooks 1/1 2025-08-26T19:51:13.3546971Z dynamo/test_reorder_logs 1/1 2025-08-26T19:51:13.3547282Z export/test_verifier 1/1 2025-08-26T19:51:13.3547598Z export/test_sparse 1/1 2025-08-26T19:51:13.3547894Z dynamo/test_python_autograd 1/1 2025-08-26T19:51:13.3548208Z test_ao_sparsity 1/1 2025-08-26T19:51:13.3548477Z test_package 1/1 2025-08-26T19:51:13.3548725Z profiler/test_kineto 1/1 2025-08-26T19:51:13.3549041Z higher_order_ops/test_invoke_subgraph 1/1 2025-08-26T19:51:13.3549391Z test_comparison_utils 1/1 2025-08-26T19:51:13.3549692Z functorch/test_ac_logging 1/1 2025-08-26T19:51:13.3549982Z test_mkl_verbose 1/1 2025-08-26T19:51:13.3550248Z test_decomp 1/1 2025-08-26T19:51:13.3550499Z test_mkldnn_verbose 1/1 2025-08-26T19:51:13.3550787Z test_utils_config_module 1/1 2025-08-26T19:51:13.3551068Z test_ops_jit 1/2 2025-08-26T19:51:13.3551319Z test_ops_jit 2/2 2025-08-26T19:51:13.3551666Z test_dataloader 1/1 2025-08-26T19:51:13.3551930Z test_modules 1/2 2025-08-26T19:51:13.3552165Z test_matmul_cuda 1/1 2025-08-26T19:51:13.3552439Z torch_np/test_dtype 1/1 2025-08-26T19:51:13.3552719Z test_datapipe 1/1 2025-08-26T19:51:13.3552980Z test_foreach 1/1 2025-08-26T19:51:13.3553329Z test_flop_counter 1/1 2025-08-26T19:51:13.3553611Z test_expanded_weights 1/1 2025-08-26T19:51:13.3553903Z test_file_check 1/1 2025-08-26T19:51:13.3554165Z test_functionalization 1/1 2025-08-26T19:51:13.3554459Z test_testing 1/1 2025-08-26T19:51:13.3554968Z backends/xeon/test_launch 1/1 2025-08-26T19:51:13.3555278Z functorch/test_ops 1/8 2025-08-26T19:51:13.3555544Z functorch/test_ops 3/8 2025-08-26T19:51:13.3555828Z functorch/test_ops 5/8 2025-08-26T19:51:13.3556107Z functorch/test_ops 7/8 2025-08-26T19:51:13.3556383Z test_openmp 1/1 2025-08-26T19:51:13.3556636Z test_fx_experimental 1/1 2025-08-26T19:51:13.3556945Z torch_np/test_nep50_examples 1/1 2025-08-26T19:51:13.3557265Z test_module_tracker 1/1 2025-08-26T19:51:13.3557541Z test_ops 1/8 2025-08-26T19:51:13.3557765Z test_ops 4/8 2025-08-26T19:51:13.3557999Z test_ops 5/8 2025-08-26T19:51:13.3558236Z test_ops 7/8 2025-08-26T19:51:13.3558473Z xpu/test_gemm 1/1 2025-08-26T19:51:13.3558715Z xpu/test_conv 1/1 2025-08-26T19:51:13.3558973Z test_stateless 1/1 2025-08-26T19:51:13.3559240Z functorch/test_ac 1/1 2025-08-26T19:51:13.3559538Z distributions/test_constraints 1/1 2025-08-26T19:51:13.3559860Z torch_np/test_ufuncs_basic 1/1 2025-08-26T19:51:13.3560172Z test_out_dtype_op 1/1 2025-08-26T19:51:13.3560454Z test_ops_gradients 1/2 2025-08-26T19:51:13.3560738Z test_ops_fwd_gradients 1/2 2025-08-26T19:51:13.3561021Z test_ops_fwd_gradients 2/2 2025-08-26T19:51:13.3561314Z lazy/test_step_closures 1/1 2025-08-26T19:51:13.3561621Z test_sparse_semi_structured 1/1 2025-08-26T19:51:13.3561946Z nn/test_packed_sequence 1/1 2025-08-26T19:51:13.3562244Z profiler/test_record_function 1/1 2025-08-26T19:51:13.3562607Z nn/test_lazy_modules 1/1 2025-08-26T19:51:13.3562900Z test_fx_reinplace_pass 1/1 2025-08-26T19:51:13.3563197Z profiler/test_cpp_thread 1/1 2025-08-26T19:51:13.3563500Z test_cuda_expandable_segments 1/1 2025-08-26T19:51:13.3563821Z test_numba_integration 1/1 2025-08-26T19:51:13.3564116Z test_segment_reductions 1/1 2025-08-26T19:51:13.3564403Z test_logging 1/1 2025-08-26T19:51:13.3564668Z test_functionalization_of_rng_ops 1/1 2025-08-26T19:51:13.3565045Z functorch/test_aot_joint_with_descriptors 1/1 2025-08-26T19:51:13.3565402Z test_subclass 1/1 2025-08-26T19:51:13.3565655Z test_itt 1/1 2025-08-26T19:51:13.3565896Z profiler/test_torch_tidy 1/1 2025-08-26T19:51:13.3566226Z torch_np/numpy_tests/core/test_numeric 1/1 2025-08-26T19:51:13.3566576Z test_bundled_inputs 1/1 2025-08-26T19:51:13.3567004Z test_masked 1/1 2025-08-26T19:51:13.3567238Z test_monitor 1/1 2025-08-26T19:51:13.3567511Z test_sympy_utils 1/1 2025-08-26T19:51:13.3567830Z torch_np/numpy_tests/lib/test_function_base 1/1 2025-08-26T19:51:13.3568220Z functorch/test_vmap_registrations 1/1 2025-08-26T19:51:13.3568549Z torch_np/test_indexing 1/1 2025-08-26T19:51:13.3568846Z optim/test_swa_utils 1/1 2025-08-26T19:51:13.3569286Z cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 2025-08-26T19:51:13.3569786Z dynamo/test_nested_graph_breaks 1/1 2025-08-26T19:51:13.3570099Z test_mkldnn_fusion 1/1 2025-08-26T19:51:13.3570375Z test_import_stats 1/1 2025-08-26T19:51:13.3570653Z test_tensorboard 1/1 2025-08-26T19:51:13.3570937Z nn/test_embedding 1/1 2025-08-26T19:51:13.3571197Z nn/test_dropout 1/1 2025-08-26T19:51:13.3571503Z torch_np/numpy_tests/lib/test_type_check 1/1 2025-08-26T19:51:13.3571863Z test_public_bindings 1/1 2025-08-26T19:51:13.3572189Z torch_np/numpy_tests/core/test_indexing 1/1 2025-08-26T19:51:13.3572617Z test_maskedtensor 1/1 2025-08-26T19:51:13.3572942Z torch_np/numpy_tests/lib/test_histograms 1/1 2025-08-26T19:51:13.3573307Z lazy/test_ts_opinfo 1/1 2025-08-26T19:51:13.3573595Z test_schema_check 1/1 2025-08-26T19:51:13.3573863Z functorch/test_vmap 2/2 2025-08-26T19:51:13.3574148Z test_mkldnn 1/1 2025-08-26T19:51:13.3574434Z torch_np/numpy_tests/core/test_dlpack 1/1 2025-08-26T19:51:13.3574780Z test_unary_ufuncs 1/1 2025-08-26T19:51:13.3575045Z test_accelerator 1/1 2025-08-26T19:51:13.3575342Z torch_np/test_scalars_0D_arrays 1/1 2025-08-26T19:51:13.3575669Z test_jit_autocast 1/1 2025-08-26T19:51:13.3575989Z torch_np/numpy_tests/lib/test_arraysetops 1/1 2025-08-26T19:51:13.3576328Z test_dlpack 1/1 2025-08-26T19:51:13.3576599Z profiler/test_profiler_tree 1/1 2025-08-26T19:51:13.3576962Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 2025-08-26T19:51:13.3577510Z torch_np/test_reductions 1/1 2025-08-26T19:51:13.3577874Z lazy/test_reuse_ir 1/1 2025-08-26T19:51:13.3578214Z torch_np/numpy_tests/lib/test_arraypad 1/1 2025-08-26T19:51:13.3578778Z test_quantization 1/4 2025-08-26T19:51:13.3579294Z test_quantization 3/4 2025-08-26T19:51:13.3579566Z test_quantization 4/4 2025-08-26T19:51:13.3579853Z Name: excluded (est. time: 0.0min) 2025-08-26T19:51:13.3580153Z Serial tests (0): 2025-08-26T19:51:13.3580409Z Parallel tests (0): 2025-08-26T19:51:13.3580912Z Running inductor/test_flex_attention 1/1 ... [2025-08-26 19:51:13.357650] 2025-08-26T19:51:13.3581379Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:51:13.3582945Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:51:13.358013] 2025-08-26T19:51:17.3705356Z 2025-08-26T19:51:17.3706479Z inductor/test_flex_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.1_9121998d13c29efd_.log 2025-08-26T19:51:17.3707248Z 2025-08-26T19:51:17.7477862Z Uploading artifacts took 0.38 seconds 2025-08-26T19:51:17.7480610Z Running test_ci_sanity_check_fail 1/1 ... [2025-08-26 19:51:17.747866] 2025-08-26T19:51:17.7481483Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:51:17.7484993Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:51:17.748229] 2025-08-26T19:51:30.4201425Z Running test_overrides 1/1 ... [2025-08-26 19:51:30.419801] 2025-08-26T19:51:30.4202141Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:51:30.4204724Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:51:30.420169] 2025-08-26T19:51:37.8445519Z 2025-08-26T19:51:37.8446507Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_e0a3399f218df301_.log 2025-08-26T19:51:37.8947927Z Running 1470 items in this shard: test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_H___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_T___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__backward_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__base___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__cdata___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__post_accumulate_grad_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__version___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_data___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_device___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_dtype___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_imag___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cuda___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_ipu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_leaf___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_maia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_meta___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mkldnn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mps___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mtia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_nested___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_quantized___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse_csr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_vulkan___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xla___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xpu___get__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addr_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_align_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_align_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_all, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_amax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_amin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_angle, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_any, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_apply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arcsin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arcsinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctan2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_as_strided, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_as_strided_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_asin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_asin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_asinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atan, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_left_shift_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_right_shift_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bool, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_byte, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cauchy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ccol_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cdouble, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ceil_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cfloat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_chalf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_char, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_max_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_min_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clip_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clone, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_coalesce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_col_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj_physical_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cov, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cross, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_crow_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cuda, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_data_ptr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dense_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_det, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diff, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim_order, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_double, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_element_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exponential_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_diagonal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gather, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geometric_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ger, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_half, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_has_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_untyped_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_values, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_var, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_where, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_zero_, test/test_overrides.py::TestTorchFunctionOverride::test_base, test/test_overrides.py::TestTorchFunctionOverride::test_dtype_override, test/test_overrides.py::TestTorchFunctionOverride::test_grad, test/test_overrides.py::TestTorchFunctionOverride::test_has_torch_function_non_sequence, test/test_overrides.py::TestTorchFunctionOverride::test_mean_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_mm_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_pow_rpow, test/test_overrides.py::TestTorchFunctionOverride::test_precedence_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_tensor_subclass_propagation, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cond, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eig, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigvals, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigvalsh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_householder_product, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_inv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_inv_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_factor, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_factor_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lstsq, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve_triangular, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_svdvals, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_tensorinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_tensorsolve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_vander, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_vecdot, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_i1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_multigammaln, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtri, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_psi, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_u, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_v, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_w, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_spherical_bessel_j0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlog1py, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_zeta, test/test_overrides.py::TestTorchFunctionOverride::test_torch__assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__conj_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__functional_assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fused_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fw_primal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lobpcg_lobpcg, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_pca_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_svd_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__make_dual_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__native_batch_norm_legit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__neg_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__reshape_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__rowwise_prune, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sparse_broadcast_to_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softsign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_tanhshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_with_distance_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_constant_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rand_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randint_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randn_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_where, test/test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like, test/test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises, test/test_overrides.py::TestEinsumOverride::test_wrapper, test/test_overrides.py::TestGradCheckOverride::test_gradcheck, test/test_overrides.py::TestNamedTuple::test_max, test/test_overrides.py::TestGradNewOnesOverride::test_newones, test/test_overrides.py::TestPickle::test_pickle, test/test_overrides.py::TestBroadcastAllOverride::test_broadcast_all, test/test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function, test/test_overrides.py::TestIndexing::test_getitem, test/test_overrides.py::TestIndexing::test_getitem_subclass, test/test_overrides.py::TestIndexing::test_setitem, test/test_overrides.py::TestIndexing::test_setitem_subclass, test/test_overrides.py::TestIndexing::test_setitem_val, test/test_overrides.py::TestIterator::test_iterator, test/test_overrides.py::TestRNN::test_rnn, test/test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch, test/test_overrides.py::TestResolveName::test_resolve_name, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_tensor_subclass, test/test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions, test/test_overrides.py::TestTorchFunctionMode::test_all_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_basic, test/test_overrides.py::TestTorchFunctionMode::test_custom_device_type, test/test_overrides.py::TestTorchFunctionMode::test_device_context_semantics, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode, test/test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli, test/test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode, test/test_overrides.py::TestTorchFunctionMode::test_factory_override, test/test_overrides.py::TestTorchFunctionMode::test_get_cur_mode, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes 2025-08-26T19:51:37.9437429Z 2025-08-26T19:51:37.9437663Z Running test_reductions 1/1 ... [2025-08-26 19:51:37.846627] 2025-08-26T19:51:37.9438102Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:51:37.9439144Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:51:37.846962] 2025-08-26T19:55:07.6283869Z 2025-08-26T19:55:07.6284705Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_d34423b518d9d643_.log 2025-08-26T19:55:07.8130614Z Running 4673 items in this shard: test/test_reductions.py::TestReductionsCPU::test_accreal_type_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_all_any_with_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_all_issue117215_cpu, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_amin_amax_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_argminmax_axis_with_dim_one_cpu, test/test_reductions.py::TestReductionsCPU::test_argminmax_large_axis_cpu, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_bincount_cpu, test/test_reductions.py::TestReductionsCPU::test_bucketization_cpu, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float64, 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test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_out_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_parallel_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_argmax_argmix_kthvalue_dim_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_reduce_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_cpu, test/test_reductions.py::TestReductionsCPU::test_var_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_var_large_input_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability2_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability_cpu, test/test_reductions.py::TestReductionsCPU::test_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float64 2025-08-26T19:55:08.0173956Z 2025-08-26T19:55:08.0174387Z Running test_tensor_creation_ops 1/1 ... [2025-08-26 19:55:07.634973] 2025-08-26T19:55:08.0175262Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:55:08.0177362Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:55:07.635330] 2025-08-26T19:55:36.2384904Z 2025-08-26T19:55:36.2385821Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_485fbc4636a88e5e_.log 2025-08-26T19:55:36.2633628Z Running 641 items in this shard: test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_strided_neg_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_scipy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cartesian_prod_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_big_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_in_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_memory_format_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_preserve_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_stack_cross_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_combinations_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_complex_type_conversions_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_concat_empty_list_error_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_device_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_dtypes_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ctor_with_numpy_array_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diag_embed_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diagflat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_full_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_overflow_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_tensor_props_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_eye_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_fill_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_False_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_True_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_like_fn_stride_proparation_vs_tensoriterator_unary_op_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linlogspace_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_default_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_is_default_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_dtype_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_non_1d_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_unsupported_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_vs_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_warns_if_no_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_xy_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_methods_requires_grad_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_offset_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ones_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_factories_64bit_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_warning_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_repeat_interleave_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_roll_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_simple_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_storage_filename_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_strided_mismatched_stride_shape_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_ctor_device_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factories_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_copy_var_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_non_writable_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_sequence_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_out_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_std_error_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_distribution_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_inference_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_random_neg_values_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_device_compatibility_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_large_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_empty_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_full_like_inference_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_byte_to_int_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_astensor_consistency_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_default_device_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_device_without_index_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_numpy_scalars_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_mult_devices_cpu_float32 2025-08-26T19:55:36.2872715Z 2025-08-26T19:55:36.2873017Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-08-26 19:55:36.239629] 2025-08-26T19:55:36.2873518Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:55:36.2874644Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:55:36.239939] 2025-08-26T19:55:39.9095422Z 2025-08-26T19:55:39.9096811Z test_cpp_extensions_mtia_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_mtia_backend_1.1_86d45d4bcd920d20_.log 2025-08-26T19:55:39.9100670Z Running 5 items in this shard: test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_device_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_get_device_module, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_basic, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context_different_device 2025-08-26T19:55:39.9103578Z 2025-08-26T19:55:39.9103738Z Running test_nn 1/1 ... [2025-08-26 19:55:39.909901] 2025-08-26T19:55:39.9104213Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:55:39.9105457Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:55:39.910297] 2025-08-26T19:58:17.2071413Z 2025-08-26T19:58:17.2072261Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_11a8746fbced3103_.log 2025-08-26T19:58:17.3308868Z Running 2230 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_reduce, test/test_nn.py::TestNN::test_BCELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_CELU_no_batch_dim, test/test_nn.py::TestNN::test_CELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_CTCLoss_critical_target_len, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cpu, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cuda, test/test_nn.py::TestNN::test_CTCLoss_long_targets, test/test_nn.py::TestNN::test_CTCLoss_typechecks, test/test_nn.py::TestNN::test_CTCLoss_zero_infinity, test/test_nn.py::TestNN::test_CTCLoss_zero_lengths, test/test_nn.py::TestNN::test_Conv1d, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_cuda, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_groups_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same, test/test_nn.py::TestNN::test_Conv1d_pad_same2, test/test_nn.py::TestNN::test_Conv1d_pad_same2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_stride_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_cuda, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_strided, test/test_nn.py::TestNN::test_Conv2d_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_stride, test/test_nn.py::TestNN::test_Conv3d_stride_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_CrossMapLRN2d, test/test_nn.py::TestNN::test_CrossMapLRN2d_cuda, test/test_nn.py::TestNN::test_ELU_no_batch_dim, test/test_nn.py::TestNN::test_ELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Embedding, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max, test/test_nn.py::TestNN::test_EmbeddingBag_max_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean, test/test_nn.py::TestNN::test_EmbeddingBag_mean_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse, test/test_nn.py::TestNN::test_EmbeddingBag_sparse_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum, test/test_nn.py::TestNN::test_EmbeddingBag_sum_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx_cuda, test/test_nn.py::TestNN::test_Embedding_cuda, test/test_nn.py::TestNN::test_Embedding_discontiguous, test/test_nn.py::TestNN::test_Embedding_discontiguous_cuda, test/test_nn.py::TestNN::test_Embedding_sparse, test/test_nn.py::TestNN::test_Embedding_sparse_cuda, test/test_nn.py::TestNN::test_Flatten, test/test_nn.py::TestNN::test_Flatten_cuda, test/test_nn.py::TestNN::test_Flatten_no_batch_dim, test/test_nn.py::TestNN::test_Flatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Fold, test/test_nn.py::TestNN::test_Fold_cuda, test/test_nn.py::TestNN::test_Fold_int_input, test/test_nn.py::TestNN::test_Fold_int_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim, test/test_nn.py::TestNN::test_GELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_GLU_no_batch_dim, test/test_nn.py::TestNN::test_GLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_HuberLoss_delta, test/test_nn.py::TestNN::test_HuberLoss_delta_cuda, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_LSTM_cell, test/test_nn.py::TestNN::test_LSTM_cell_forward_hidden_size, test/test_nn.py::TestNN::test_LSTM_cell_forward_input_size, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_cuda, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval_cuda, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear, test/test_nn.py::TestNN::test_Linear_cuda, test/test_nn.py::TestNN::test_Linear_no_batch_dim, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear_no_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_reduce, test/test_nn.py::TestNN::test_MSELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MaxUnpool1d_net, test/test_nn.py::TestNN::test_MaxUnpool1d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net, test/test_nn.py::TestNN::test_MaxUnpool2d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net, test/test_nn.py::TestNN::test_MaxUnpool3d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Mish_no_batch_dim, test/test_nn.py::TestNN::test_Mish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ModuleDict, test/test_nn.py::TestNN::test_ModuleList, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_reduce, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_nn.py::TestNN::test_PReLU_backward_requires_grad_false, test/test_nn.py::TestNN::test_PReLU_no_batch_dim, test/test_nn.py::TestNN::test_PReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args_cuda, test/test_nn.py::TestNN::test_ParameterDict, test/test_nn.py::TestNN::test_ParameterDict_replication, test/test_nn.py::TestNN::test_ParameterList, test/test_nn.py::TestNN::test_ParameterList_meta, test/test_nn.py::TestNN::test_ParameterList_replication, test/test_nn.py::TestNN::test_PixelShuffle, test/test_nn.py::TestNN::test_PixelShuffle_cuda, test/test_nn.py::TestNN::test_PixelUnshuffle, test/test_nn.py::TestNN::test_PixelUnshuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_RNN_cell, test/test_nn.py::TestNN::test_RNN_cell_forward_zero_hidden_size, test/test_nn.py::TestNN::test_RNN_cell_no_broadcasting, test/test_nn.py::TestNN::test_RNN_change_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_no_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_with_dropout, test/test_nn.py::TestNN::test_RNN_cudnn_weight_norm, test/test_nn.py::TestNN::test_RNN_dropout, test/test_nn.py::TestNN::test_RNN_dropout_state, test/test_nn.py::TestNN::test_RNN_input_size_zero, test/test_nn.py::TestNN::test_RNN_nonlinearity, test/test_nn.py::TestNN::test_RNN_nonlinearity_passed_as_arg, test/test_nn.py::TestNN::test_RReLU, test/test_nn.py::TestNN::test_RReLU_cuda, test/test_nn.py::TestNN::test_RReLU_no_batch_dim, test/test_nn.py::TestNN::test_RReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down, test/test_nn.py::TestNN::test_RReLU_with_up_down_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar_cuda, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReLU_no_batch_dim, test/test_nn.py::TestNN::test_ReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d, test/test_nn.py::TestNN::test_ReplicationPad3d_complex, test/test_nn.py::TestNN::test_ReplicationPad3d_complex_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SELU_no_batch_dim, test/test_nn.py::TestNN::test_SELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sequential_add, test/test_nn.py::TestNN::test_Sequential_append, test/test_nn.py::TestNN::test_Sequential_delitem, test/test_nn.py::TestNN::test_Sequential_extend, test/test_nn.py::TestNN::test_Sequential_getitem, test/test_nn.py::TestNN::test_Sequential_iadd, test/test_nn.py::TestNN::test_Sequential_imul, test/test_nn.py::TestNN::test_Sequential_insert, test/test_nn.py::TestNN::test_Sequential_insert_fail_case, test/test_nn.py::TestNN::test_Sequential_mul, test/test_nn.py::TestNN::test_Sequential_pop, test/test_nn.py::TestNN::test_Sequential_rmul, test/test_nn.py::TestNN::test_Sequential_setitem, test/test_nn.py::TestNN::test_Sequential_setitem_named, test/test_nn.py::TestNN::test_SiLU_no_batch_dim, test/test_nn.py::TestNN::test_SiLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_beta_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta_cuda, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_Softplus_no_batch_dim, test/test_nn.py::TestNN::test_Softplus_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softsign_no_batch_dim, test/test_nn.py::TestNN::test_Softsign_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanh_no_batch_dim, test/test_nn.py::TestNN::test_Tanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Threshold_no_batch_dim, test/test_nn.py::TestNN::test_Threshold_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_Transformer_cell, test/test_nn.py::TestNN::test_Transformer_multilayer_coder, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Unfold, test/test_nn.py::TestNN::test_Unfold_cuda, test/test_nn.py::TestNN::test_Unfold_int_input, test/test_nn.py::TestNN::test_Unfold_int_input_cuda, test/test_nn.py::TestNN::test_adaptive_log_softmax, test/test_nn.py::TestNN::test_add_module, test/test_nn.py::TestNN::test_add_module_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_affine_grid, test/test_nn.py::TestNN::test_affine_grid_3d, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_2, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_3, test/test_nn.py::TestNN::test_affine_grid_error_checking, test/test_nn.py::TestNN::test_assignment, test/test_nn.py::TestNN::test_batch_norm_update_stats, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_half_overflow, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_bias_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_less_than_one_value_per_channel, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_weight_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_loss_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, test/test_nn.py::TestNN::test_bce_with_logits_stability, test/test_nn.py::TestNN::test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bilinear, test/test_nn.py::TestNN::test_bilinear_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_bilinear_value_error, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, test/test_nn.py::TestNN::test_buffer_bad_module_subclass, test/test_nn.py::TestNN::test_buffer_not_persistent, test/test_nn.py::TestNN::test_buffer_not_persistent_assign, test/test_nn.py::TestNN::test_buffer_not_persistent_del, test/test_nn.py::TestNN::test_buffer_not_persistent_load, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_channel_shuffle_input_checks, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_nonexpandable_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_invalid_shape, test/test_nn.py::TestNN::test_cosine_embedding_loss_margin_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cosine_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, test/test_nn.py::TestNN::test_cudnn_forward_exception, test/test_nn.py::TestNN::test_cudnn_rnn_dropout_states_device, test/test_nn.py::TestNN::test_cudnn_weight_format, test/test_nn.py::TestNN::test_cudnn_weight_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_get_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_set_extra_state, test/test_nn.py::TestNN::test_extra_state_non_dict, test/test_nn.py::TestNN::test_fb_fc_packed, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_gaussian_nll_loss_scalar_var, test/test_nn.py::TestNN::test_get_buffer, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_getattr_with_property, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, test/test_nn.py::TestNN::test_grid_sample_error_checking, test/test_nn.py::TestNN::test_grid_sample_nearest_neighbor_rounding_mode_consistency, test/test_nn.py::TestNN::test_hardtanh_backward, test/test_nn.py::TestNN::test_hardtanh_inplace_gradgrad, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, test/test_nn.py::TestNN::test_inplace_thnn, test/test_nn.py::TestNN::test_interpolate, test/test_nn.py::TestNN::test_interpolate_bicubic_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_buffer_overflow, test/test_nn.py::TestNN::test_interpolate_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d, test/test_nn.py::TestNN::test_interpolate_nearest_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d, test/test_nn.py::TestNN::test_interpolate_nearest_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d, test/test_nn.py::TestNN::test_interpolate_nearest_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_undefined_behavior_casting, test/test_nn.py::TestNN::test_kl_div_log_softmax_target, test/test_nn.py::TestNN::test_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_target, test/test_nn.py::TestNN::test_l1_loss_correct, test/test_nn.py::TestNN::test_layer_norm_backwards_eps, test/test_nn.py::TestNN::test_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_layer_norm_large_tensor, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightStrided, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, test/test_nn.py::TestNN::test_log_softmax_dim0, test/test_nn.py::TestNN::test_log_softmax_dim0_cuda, test/test_nn.py::TestNN::test_log_softmax_dim3, test/test_nn.py::TestNN::test_log_softmax_dim3_cuda, test/test_nn.py::TestNN::test_log_softmax_lastdim, test/test_nn.py::TestNN::test_log_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_log_softmax_scalar, test/test_nn.py::TestNN::test_log_softmax_scalar_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial, test/test_nn.py::TestNN::test_log_softmax_spatial_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_pairwise_distance, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, test/test_nn.py::TestNN::test_parameterlistdict_setting_attributes, test/test_nn.py::TestNN::test_parameters_and_named_parameters, test/test_nn.py::TestNN::test_parameters_to_vector, test/test_nn.py::TestNN::test_parse_to, test/test_nn.py::TestNN::test_partial_flat_weights, test/test_nn.py::TestNN::test_pdist, test/test_nn.py::TestNN::test_pdist_cpu_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_cuda_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_empty_col, test/test_nn.py::TestNN::test_pdist_empty_row, test/test_nn.py::TestNN::test_pdist_large, test/test_nn.py::TestNN::test_pdist_zeros, test/test_nn.py::TestNN::test_pickle_module_no_weights_only_warning, test/test_nn.py::TestNN::test_pixel_shuffle_nhwc_cpu, test/test_nn.py::TestNN::test_pixel_shuffle_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, test/test_nn.py::TestNN::test_projections_lstm_initial_hidden_state, test/test_nn.py::TestNN::test_register_buffer_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_buffer_allows_tensor_like_object, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_not_tensor, test/test_nn.py::TestNN::test_register_parameter_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_relu_inplace_on_view, test/test_nn.py::TestNN::test_repr, test/test_nn.py::TestNN::test_requires_grad_, test/test_nn.py::TestNN::test_rnn_args_check, test/test_nn.py::TestNN::test_rnn_check_device, test/test_nn.py::TestNN::test_rnn_initial_hidden_state, test/test_nn.py::TestNN::test_rnn_weight_norm, test/test_nn.py::TestNN::test_set_submodule, test/test_nn.py::TestNN::test_share_memory, test/test_nn.py::TestNN::test_smoothl1loss_intergral_target, test/test_nn.py::TestNN::test_smoothl1loss_negative_beta_not_supported, test/test_nn.py::TestNN::test_softmax_functional_dim0, test/test_nn.py::TestNN::test_softmax_functional_dim0_cuda, test/test_nn.py::TestNN::test_softmax_functional_dim3, test/test_nn.py::TestNN::test_softmax_functional_dim3_cuda, test/test_nn.py::TestNN::test_softmax_functional_scalar, test/test_nn.py::TestNN::test_softmax_functional_scalar_cuda, test/test_nn.py::TestNN::test_softmax_lastdim, test/test_nn.py::TestNN::test_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_dtype, test/test_nn.py::TestNN::test_softmax_lastdim_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial, test/test_nn.py::TestNN::test_softmax_spatial_cuda, test/test_nn.py::TestNN::test_softmax_spatial_dtype, test/test_nn.py::TestNN::test_softmax_spatial_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial_special, test/test_nn.py::TestNN::test_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_softmin, test/test_nn.py::TestNN::test_spectral_norm, test/test_nn.py::TestNN::test_spectral_norm_dim, test/test_nn.py::TestNN::test_spectral_norm_forward, test/test_nn.py::TestNN::test_spectral_norm_load_state_dict, test/test_nn.py::TestNN::test_spectral_norm_pickle, test/test_nn.py::TestNN::test_state_dict, test/test_nn.py::TestNN::test_swap_module_params_poisons_acc_grad, test/test_nn.py::TestNN::test_sync_batchnorm_accuracy_cuda, test/test_nn.py::TestNN::test_sync_batchnorm_backward_elemt, test/test_nn.py::TestNN::test_threshold_bfloat16_half, test/test_nn.py::TestNN::test_threshold_int, test/test_nn.py::TestNN::test_to, test/test_nn.py::TestNN::test_train_errors_for_invalid_mode, test/test_nn.py::TestNN::test_transformer_args_check, test/test_nn.py::TestNN::test_transformer_layer_args_check, test/test_nn.py::TestNN::test_transformerdecoder, test/test_nn.py::TestNN::test_transformerdecoderlayer, test/test_nn.py::TestNN::test_transformerdecoderlayer_gelu, test/test_nn.py::TestNN::test_triplet_margin_loss, test/test_nn.py::TestNN::test_triplet_margin_loss_no_reduce, test/test_nn.py::TestNN::test_triplet_margin_loss_swap, test/test_nn.py::TestNN::test_triplet_margin_loss_swap_no_reduce, test/test_nn.py::TestNN::test_type, test/test_nn.py::TestNN::test_unflatten, test/test_nn.py::TestNN::test_unflatten_invalid_arg, test/test_nn.py::TestNN::test_unfold_invalid_arg, test/test_nn.py::TestNN::test_upsamplingBilinear2d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingLinear1d, test/test_nn.py::TestNN::test_upsamplingLinear1d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingTrilinear3d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_bfloat16, test/test_nn.py::TestNN::test_upsampling_not_recompute_scale_factor, test/test_nn.py::TestNN::test_upsampling_small_scale, test/test_nn.py::TestNN::test_vector_to_parameters, test/test_nn.py::TestNN::test_weight_norm, test/test_nn.py::TestNN::test_weight_norm_pickle, test/test_nn.py::TestNN::test_weighted_huber_loss, test/test_nn.py::TestNN::test_weighted_l1_loss_with_weights, test/test_nn.py::TestNN::test_weighted_mse_loss, test/test_nn.py::TestNN::test_zero_grad, test/test_nn.py::TestFusionEval::test_fuse_module_eval_numerics, test/test_nn.py::TestConstantPadNd::test_constant_pad_nd, test/test_nn.py::TestConstantPadNd::test_preserves_memory_format, test/test_nn.py::TestAddRelu::test_add_relu, test/test_nn.py::TestAddRelu::test_add_relu_broadcasting, test/test_nn.py::TestFunctionalPickle::test_pickle_softsign, test/test_nn.py::TestFusionUtils::test_fuse_conv_bn_requires_grad, test/test_nn.py::TestFusionUtils::test_fuse_linear_bn_requires_grad, test/test_nn.py::TestUtils::test_consume_prefix_in_state_dict_if_present, test/test_nn.py::TestNNDeviceTypeCPU::test_BatchNorm_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_Bilinear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_empty_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GRU_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_memory_format_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_raises_error_if_one_value_per_group_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm1d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm2d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm3d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LocalResponseNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_warnings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_deterministic_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_fails_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad1d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Transformer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Unfold_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_adaptiveavg_pool1d_shmem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate45_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate90_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_3d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_update_stats_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_channel_shuffle_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_error_if_nonfinite_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_errors_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_weight_ignore_indices_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_with_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_index_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_one_hot_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_all_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cpu_length_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_device_mask_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_with_neg_alpha_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_fold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_glu_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_bfloat16_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_hardsigmoid_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_for_single_spatial_element_during_training_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_less_than_one_value_per_channel_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_invalid_reduction_strings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_weight_bias_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_neg_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_zero_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_linear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_big_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_logsigmoid_out_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_lstmcell_backward_only_one_output_grad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_TxT_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_devices_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_forward_with_nans_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_mask_types_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_transformer_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_non_recursive_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mse_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_all_ignored_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_byte_target_matches_long_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_mean_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_none_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_sum_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_target_dim_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_mismatched_batch_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_out_of_bounds_ignore_index_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_total_weight_is_zero_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nonlinearity_propagate_nan_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_one_hot_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_overwrite_module_params_on_conversion_cpu_device_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_prelu_backward_32bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_replicatepad_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_retain_variables_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_save_lstm_compatibility_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_silu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_skip_init_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_vs_huber_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smoothl1loss_backward_zero_beta_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_smem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_grad_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_without_fully_vectorized_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_double_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_forward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_results_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_low_threshold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_negative_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_threshold_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_fast_path_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_gelu_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_default_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_correctness_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_fail_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_rocm_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_rescale_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingnearest2d_backward_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_variable_sequence_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float32 2025-08-26T19:58:17.4495899Z 2025-08-26T19:58:17.4496202Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-08-26 19:58:17.211570] 2025-08-26T19:58:17.4496700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:58:17.4497846Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:58:17.211900] 2025-08-26T19:58:21.0317558Z 2025-08-26T19:58:21.0318601Z test_cpp_extensions_stream_and_event 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_stream_and_event_1.1_994f51a74724d375_.log 2025-08-26T19:58:21.0320066Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event 2025-08-26T19:58:21.0320702Z 2025-08-26T19:58:21.0321089Z Running doctests 1/1 ... [2025-08-26 19:58:21.031971] 2025-08-26T19:58:21.1374470Z Start doctest_module('/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch') 2025-08-26T19:58:21.1375063Z Listing tests 2025-08-26T19:58:21.5098302Z msg = Cannot scrape callname=Tensor.dim_order in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py line=1493. 2025-08-26T19:58:21.5099328Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.5099768Z 2025-08-26T19:58:21.5099919Z dim_order(ambiguity_check=False) -> tuple 2025-08-26T19:58:21.5100208Z 2025-08-26T19:58:21.5100453Z Returns the uniquely determined tuple of int describing the dim order or 2025-08-26T19:58:21.5100981Z physical layout of :attr:`self`. 2025-08-26T19:58:21.5101193Z 2025-08-26T19:58:21.5101860Z The dim order represents how dimensions are laid out in memory of dense tensors, 2025-08-26T19:58:21.5102430Z starting from the outermost to the innermost dimension. 2025-08-26T19:58:21.5102781Z 2025-08-26T19:58:21.5102971Z Note that the dim order may not always be uniquely determined. 2025-08-26T19:58:21.5103741Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined; 2025-08-26T19:58:21.5104736Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted 2025-08-26T19:58:21.5105604Z into exactly one of the given memory formats, or it cannot be uniquely determined. 2025-08-26T19:58:21.5106381Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness. 2025-08-26T19:58:21.5106993Z Otherwise, it will raise TypeError. 2025-08-26T19:58:21.5107282Z 2025-08-26T19:58:21.5107366Z Args: 2025-08-26T19:58:21.5107816Z ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order. 2025-08-26T19:58:21.5108456Z 2025-08-26T19:58:21.5108598Z Examples:: 2025-08-26T19:58:21.5108752Z 2025-08-26T19:58:21.5108924Z >>> torch.empty((2, 3, 5, 7)).dim_order() 2025-08-26T19:58:21.5109236Z (0, 1, 2, 3) 2025-08-26T19:58:21.5109586Z >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order() 2025-08-26T19:58:21.5109974Z (0, 2, 1, 3) 2025-08-26T19:58:21.5110361Z >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order() 2025-08-26T19:58:21.5110784Z (0, 2, 3, 1) 2025-08-26T19:58:21.5111044Z >>> torch.empty((1, 2, 3, 4)).dim_order() 2025-08-26T19:58:21.5111426Z (0, 1, 2, 3) 2025-08-26T19:58:21.5111657Z >>> try: 2025-08-26T19:58:21.5112028Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True) 2025-08-26T19:58:21.5112425Z ... except RuntimeError as e: 2025-08-26T19:58:21.5112794Z ... print(e) 2025-08-26T19:58:21.5113337Z The tensor does not have unique dim order, or cannot map to exact one of the given memory formats. 2025-08-26T19:58:21.5114013Z >>> torch.empty((1, 2, 3, 4)).dim_order( 2025-08-26T19:58:21.5114502Z ... ambiguity_check=[torch.contiguous_format, torch.channels_last] 2025-08-26T19:58:21.5114996Z ... ) # It can be mapped to contiguous format 2025-08-26T19:58:21.5115388Z (0, 1, 2, 3) 2025-08-26T19:58:21.5115622Z >>> try: 2025-08-26T19:58:21.5115999Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL") 2025-08-26T19:58:21.5116404Z ... except TypeError as e: 2025-08-26T19:58:21.5116755Z ... print(e) 2025-08-26T19:58:21.5117147Z The ambiguity_check argument must be a bool or a list of memory formats. 2025-08-26T19:58:21.5117568Z 2025-08-26T19:58:21.5117681Z .. warning:: 2025-08-26T19:58:21.5118003Z The dim_order tensor API is experimental and subject to change. 2025-08-26T19:58:21.5118400Z 2025-08-26T19:58:21.5118657Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.5119119Z 2025-08-26T19:58:21.5661578Z msg = Cannot scrape callname=meshgrid in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=397. 2025-08-26T19:58:21.5662467Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.5663190Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors. 2025-08-26T19:58:21.5663575Z 2025-08-26T19:58:21.5663819Z This is helpful when you want to visualize data over some 2025-08-26T19:58:21.5664282Z range of inputs. See below for a plotting example. 2025-08-26T19:58:21.5664618Z 2025-08-26T19:58:21.5664803Z Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as 2025-08-26T19:58:21.5665328Z inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`, 2025-08-26T19:58:21.5665836Z this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots 2025-08-26T19:58:21.5666381Z G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where 2025-08-26T19:58:21.5667149Z the output :math:`G_i` is constructed by expanding :math:`T_i` 2025-08-26T19:58:21.5667608Z to the result shape. 2025-08-26T19:58:21.5667841Z 2025-08-26T19:58:21.5667951Z .. note:: 2025-08-26T19:58:21.5668266Z 0D inputs are treated equivalently to 1D inputs of a 2025-08-26T19:58:21.5668705Z single element. 2025-08-26T19:58:21.5668897Z 2025-08-26T19:58:21.5668992Z .. warning:: 2025-08-26T19:58:21.5669398Z `torch.meshgrid(*tensors)` currently has the same behavior 2025-08-26T19:58:21.5669870Z as calling `numpy.meshgrid(*arrays, indexing='ij')`. 2025-08-26T19:58:21.5670208Z 2025-08-26T19:58:21.5700995Z In the future `torch.meshgrid` will transition to 2025-08-26T19:58:21.5701594Z `indexing='xy'` as the default. 2025-08-26T19:58:21.5701957Z 2025-08-26T19:58:21.5702342Z https://github.com/pytorch/pytorch/issues/50276 tracks 2025-08-26T19:58:21.5703324Z this issue with the goal of migrating to NumPy's behavior. 2025-08-26T19:58:21.5703627Z 2025-08-26T19:58:21.5703741Z .. seealso:: 2025-08-26T19:58:21.5703912Z 2025-08-26T19:58:21.5704089Z :func:`torch.cartesian_prod` has the same effect but it 2025-08-26T19:58:21.5704524Z collects the data in a tensor of vectors. 2025-08-26T19:58:21.5704770Z 2025-08-26T19:58:21.5704874Z Args: 2025-08-26T19:58:21.5705279Z tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be 2025-08-26T19:58:21.5705828Z treated as tensors of size :math:`(1,)` automatically 2025-08-26T19:58:21.5706123Z 2025-08-26T19:58:21.5706305Z indexing: (str, optional): the indexing mode, either "xy" 2025-08-26T19:58:21.5706777Z or "ij", defaults to "ij". See warning for future changes. 2025-08-26T19:58:21.5707061Z 2025-08-26T19:58:21.5707231Z If "xy" is selected, the first dimension corresponds 2025-08-26T19:58:21.5707684Z to the cardinality of the second input and the second 2025-08-26T19:58:21.5708129Z dimension corresponds to the cardinality of the first 2025-08-26T19:58:21.5708515Z input. 2025-08-26T19:58:21.5708666Z 2025-08-26T19:58:21.5708823Z If "ij" is selected, the dimensions are in the same 2025-08-26T19:58:21.5709227Z order as the cardinality of the inputs. 2025-08-26T19:58:21.5709468Z 2025-08-26T19:58:21.5709554Z Returns: 2025-08-26T19:58:21.5709864Z seq (sequence of Tensors): If the input has :math:`N` 2025-08-26T19:58:21.5710305Z tensors of size :math:`S_0 \ldots S_{N-1}``, then the 2025-08-26T19:58:21.5710763Z output will also have :math:`N` tensors, where each tensor 2025-08-26T19:58:21.5711177Z is of shape :math:`(S_0, ..., S_{N-1})`. 2025-08-26T19:58:21.5711423Z 2025-08-26T19:58:21.5711516Z Example:: 2025-08-26T19:58:21.5711673Z 2025-08-26T19:58:21.5711784Z >>> x = torch.tensor([1, 2, 3]) 2025-08-26T19:58:21.5712122Z >>> y = torch.tensor([4, 5, 6]) 2025-08-26T19:58:21.5712336Z 2025-08-26T19:58:21.5712541Z Observe the element-wise pairings across the grid, (1, 4), 2025-08-26T19:58:21.5712975Z (1, 5), ..., (3, 6). This is the same thing as the 2025-08-26T19:58:21.5713424Z cartesian product. 2025-08-26T19:58:21.5713784Z >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij') 2025-08-26T19:58:21.5714164Z >>> grid_x 2025-08-26T19:58:21.5714406Z tensor([[1, 1, 1], 2025-08-26T19:58:21.5714680Z [2, 2, 2], 2025-08-26T19:58:21.5714950Z [3, 3, 3]]) 2025-08-26T19:58:21.5715225Z >>> grid_y 2025-08-26T19:58:21.5715460Z tensor([[4, 5, 6], 2025-08-26T19:58:21.5715730Z [4, 5, 6], 2025-08-26T19:58:21.5715997Z [4, 5, 6]]) 2025-08-26T19:58:21.5716268Z 2025-08-26T19:58:21.5716459Z This correspondence can be seen when these grids are 2025-08-26T19:58:21.5716839Z stacked properly. 2025-08-26T19:58:21.5717243Z >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))), 2025-08-26T19:58:21.5717705Z ... torch.cartesian_prod(x, y)) 2025-08-26T19:58:21.5718047Z True 2025-08-26T19:58:21.5718187Z 2025-08-26T19:58:21.5718379Z `torch.meshgrid` is commonly used to produce a grid for 2025-08-26T19:58:21.5718758Z plotting. 2025-08-26T19:58:21.5719053Z >>> # xdoctest: +REQUIRES(module:matplotlib) 2025-08-26T19:58:21.5719432Z >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW) 2025-08-26T19:58:21.5719806Z >>> import matplotlib.pyplot as plt 2025-08-26T19:58:21.5720163Z >>> xs = torch.linspace(-5, 5, steps=100) 2025-08-26T19:58:21.5720527Z >>> ys = torch.linspace(-5, 5, steps=100) 2025-08-26T19:58:21.5720906Z >>> x, y = torch.meshgrid(xs, ys, indexing='xy') 2025-08-26T19:58:21.5721364Z >>> z = torch.sin(torch.sqrt(x * x + y * y)) 2025-08-26T19:58:21.5721714Z >>> ax = plt.axes(projection='3d') 2025-08-26T19:58:21.5722098Z >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy()) 2025-08-26T19:58:21.5722465Z >>> plt.show() 2025-08-26T19:58:21.5722632Z 2025-08-26T19:58:21.5722772Z .. image:: ../_static/img/meshgrid.png 2025-08-26T19:58:21.5723105Z :width: 512 2025-08-26T19:58:21.5723260Z 2025-08-26T19:58:21.5723344Z 2025-08-26T19:58:21.5723723Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.5724093Z 2025-08-26T19:58:21.5724640Z msg = Cannot scrape callname=_unique_impl in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=793. 2025-08-26T19:58:21.5725515Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.5726294Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor] 2025-08-26T19:58:21.5726793Z 2025-08-26T19:58:21.5726959Z Returns the unique elements of the input tensor. 2025-08-26T19:58:21.5727219Z 2025-08-26T19:58:21.5727529Z .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that 2025-08-26T19:58:21.5728138Z this function also eliminates non-consecutive duplicate values. 2025-08-26T19:58:21.5728477Z 2025-08-26T19:58:21.5728707Z .. note:: Currently in the CUDA implementation and the CPU implementation, 2025-08-26T19:58:21.5729349Z `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument. 2025-08-26T19:58:21.5730052Z Sorting could be slow, so if your input tensor is already sorted, it is recommended to use 2025-08-26T19:58:21.5730638Z :func:`torch.unique_consecutive` which avoids the sorting. 2025-08-26T19:58:21.5730928Z 2025-08-26T19:58:21.5731034Z Args: 2025-08-26T19:58:21.5731263Z input (Tensor): the input tensor 2025-08-26T19:58:21.5731706Z sorted (bool): Whether to sort the unique elements in ascending order 2025-08-26T19:58:21.5732164Z before returning as output. 2025-08-26T19:58:21.5732598Z return_inverse (bool): Whether to also return the indices for where 2025-08-26T19:58:21.5733146Z elements in the original input ended up in the returned unique list. 2025-08-26T19:58:21.5733715Z return_counts (bool): Whether to also return the counts for each unique 2025-08-26T19:58:21.5734156Z element. 2025-08-26T19:58:21.5734519Z dim (int, optional): the dimension to operate upon. If ``None``, the 2025-08-26T19:58:21.5735039Z unique of the flattened input is returned. Otherwise, each of the 2025-08-26T19:58:21.5735571Z tensors indexed by the given dimension is treated as one of the 2025-08-26T19:58:21.5736116Z elements to apply the unique operation upon. See examples for more 2025-08-26T19:58:21.5736651Z details. Default: ``None`` 2025-08-26T19:58:21.5736863Z 2025-08-26T19:58:21.5736968Z Returns: 2025-08-26T19:58:21.5737385Z (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing 2025-08-26T19:58:21.5737806Z 2025-08-26T19:58:21.5738001Z - **output** (*Tensor*): the output list of unique scalar elements. 2025-08-26T19:58:21.5738467Z - **inverse_indices** (*Tensor*): (optional) if 2025-08-26T19:58:21.5738908Z :attr:`return_inverse` is True, there will be an additional 2025-08-26T19:58:21.5739406Z returned tensor (same shape as input) representing the indices 2025-08-26T19:58:21.5739932Z for where elements in the original input map to in the output; 2025-08-26T19:58:21.5740438Z otherwise, this function will only return a single tensor. 2025-08-26T19:58:21.5740872Z - **counts** (*Tensor*): (optional) if 2025-08-26T19:58:21.5741353Z :attr:`return_counts` is True, there will be an additional 2025-08-26T19:58:21.5741830Z returned tensor (same shape as output or output.size(dim), 2025-08-26T19:58:21.5742330Z if dim was specified) representing the number of occurrences 2025-08-26T19:58:21.5742759Z for each unique value or tensor. 2025-08-26T19:58:21.5742981Z 2025-08-26T19:58:21.5743089Z Example:: 2025-08-26T19:58:21.5743222Z 2025-08-26T19:58:21.5743436Z >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long)) 2025-08-26T19:58:21.5743869Z >>> output 2025-08-26T19:58:21.5744112Z tensor([1, 2, 3]) 2025-08-26T19:58:21.5744278Z 2025-08-26T19:58:21.5744421Z >>> output, inverse_indices = torch.unique( 2025-08-26T19:58:21.5744912Z ... torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True) 2025-08-26T19:58:21.5745349Z >>> output 2025-08-26T19:58:21.5745597Z tensor([1, 2, 3]) 2025-08-26T19:58:21.5745868Z >>> inverse_indices 2025-08-26T19:58:21.5746147Z tensor([0, 2, 1, 2]) 2025-08-26T19:58:21.5746321Z 2025-08-26T19:58:21.5746449Z >>> output, inverse_indices = torch.unique( 2025-08-26T19:58:21.5746933Z ... torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True) 2025-08-26T19:58:21.5747380Z >>> output 2025-08-26T19:58:21.5747617Z tensor([1, 2, 3]) 2025-08-26T19:58:21.5747869Z >>> inverse_indices 2025-08-26T19:58:21.5748141Z tensor([[0, 2], 2025-08-26T19:58:21.5748391Z [1, 2]]) 2025-08-26T19:58:21.5748544Z 2025-08-26T19:58:21.5748656Z >>> a = torch.tensor([ 2025-08-26T19:58:21.5748914Z ... [ 2025-08-26T19:58:21.5749149Z ... [1, 1, 0, 0], 2025-08-26T19:58:21.5749427Z ... [1, 1, 0, 0], 2025-08-26T19:58:21.5749706Z ... [0, 0, 1, 1], 2025-08-26T19:58:21.5749967Z ... ], 2025-08-26T19:58:21.5750198Z ... [ 2025-08-26T19:58:21.5750433Z ... [0, 0, 1, 1], 2025-08-26T19:58:21.5750711Z ... [0, 0, 1, 1], 2025-08-26T19:58:21.5750975Z ... [1, 1, 1, 1], 2025-08-26T19:58:21.5751250Z ... ], 2025-08-26T19:58:21.5751476Z ... [ 2025-08-26T19:58:21.5751703Z ... [1, 1, 0, 0], 2025-08-26T19:58:21.5751966Z ... [1, 1, 0, 0], 2025-08-26T19:58:21.5752238Z ... [0, 0, 1, 1], 2025-08-26T19:58:21.5752502Z ... ], 2025-08-26T19:58:21.5752725Z ... ]) 2025-08-26T19:58:21.5752855Z 2025-08-26T19:58:21.5753168Z >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]` 2025-08-26T19:58:21.5753717Z >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match 2025-08-26T19:58:21.5754189Z >>> # each other, so one of them will be removed. 2025-08-26T19:58:21.5754848Z >>> (a[0, :, :] == a[2, :, :]).all() 2025-08-26T19:58:21.5755312Z tensor(True) 2025-08-26T19:58:21.5755597Z >>> a_unique_dim0 = torch.unique(a, dim=0) 2025-08-26T19:58:21.5755932Z >>> a_unique_dim0 2025-08-26T19:58:21.5756203Z tensor([[[0, 0, 1, 1], 2025-08-26T19:58:21.5756461Z [0, 0, 1, 1], 2025-08-26T19:58:21.5756728Z [1, 1, 1, 1]], 2025-08-26T19:58:21.5756994Z [[1, 1, 0, 0], 2025-08-26T19:58:21.5757254Z [1, 1, 0, 0], 2025-08-26T19:58:21.5757503Z [0, 0, 1, 1]]]) 2025-08-26T19:58:21.5757695Z 2025-08-26T19:58:21.5757910Z >>> # Notice which sub-tensors from `a` match with the sub-tensors from 2025-08-26T19:58:21.5758341Z >>> # `a_unique_dim0`: 2025-08-26T19:58:21.5758644Z >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all() 2025-08-26T19:58:21.5758968Z tensor(True) 2025-08-26T19:58:21.5759226Z >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all() 2025-08-26T19:58:21.5759555Z tensor(True) 2025-08-26T19:58:21.5759702Z 2025-08-26T19:58:21.5759991Z >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are 2025-08-26T19:58:21.5760501Z >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of 2025-08-26T19:58:21.5760894Z >>> # them will be removed. 2025-08-26T19:58:21.5761201Z >>> (a[:, 0, :] == a[:, 1, :]).all() 2025-08-26T19:58:21.5761511Z tensor(True) 2025-08-26T19:58:21.5761776Z >>> torch.unique(a, dim=1) 2025-08-26T19:58:21.5762062Z tensor([[[0, 0, 1, 1], 2025-08-26T19:58:21.5762343Z [1, 1, 0, 0]], 2025-08-26T19:58:21.5762613Z [[1, 1, 1, 1], 2025-08-26T19:58:21.5762880Z [0, 0, 1, 1]], 2025-08-26T19:58:21.5763135Z [[0, 0, 1, 1], 2025-08-26T19:58:21.5763406Z [1, 1, 0, 0]]]) 2025-08-26T19:58:21.5763600Z 2025-08-26T19:58:21.5763808Z >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared. 2025-08-26T19:58:21.5764316Z >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and 2025-08-26T19:58:21.5764774Z >>> # `a[:, :, 3]` match each other as well. So in this case, two of the 2025-08-26T19:58:21.5765174Z >>> # sub-tensors will be removed. 2025-08-26T19:58:21.5765505Z >>> (a[:, :, 0] == a[:, :, 1]).all() 2025-08-26T19:58:21.5765817Z tensor(True) 2025-08-26T19:58:21.5766078Z >>> (a[:, :, 2] == a[:, :, 3]).all() 2025-08-26T19:58:21.5766371Z tensor(True) 2025-08-26T19:58:21.5766637Z >>> torch.unique(a, dim=2) 2025-08-26T19:58:21.5766940Z tensor([[[0, 1], 2025-08-26T19:58:21.5767194Z [0, 1], 2025-08-26T19:58:21.5767433Z [1, 0]], 2025-08-26T19:58:21.5767688Z [[1, 0], 2025-08-26T19:58:21.5767937Z [1, 0], 2025-08-26T19:58:21.5768186Z [1, 1]], 2025-08-26T19:58:21.5768424Z [[0, 1], 2025-08-26T19:58:21.5768672Z [0, 1], 2025-08-26T19:58:21.5768933Z [1, 0]]]) 2025-08-26T19:58:21.5769191Z 2025-08-26T19:58:21.5769552Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.5769941Z 2025-08-26T19:58:21.5852708Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=565. 2025-08-26T19:58:21.5853606Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.5854008Z 2025-08-26T19:58:21.5854170Z Load a model from a github repo or a local directory. 2025-08-26T19:58:21.5854481Z 2025-08-26T19:58:21.5854959Z Note: Loading a model is the typical use case, but this can also be used to 2025-08-26T19:58:21.5855638Z for loading other objects such as tokenizers, loss functions, etc. 2025-08-26T19:58:21.5856284Z 2025-08-26T19:58:21.5856492Z If ``source`` is 'github', ``repo_or_dir`` is expected to be 2025-08-26T19:58:21.5856956Z of the form ``repo_owner/repo_name[:ref]`` with an optional 2025-08-26T19:58:21.5857529Z ref (a tag or a branch). 2025-08-26T19:58:21.5857704Z 2025-08-26T19:58:21.5857890Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a 2025-08-26T19:58:21.5858270Z path to a local directory. 2025-08-26T19:58:21.5858463Z 2025-08-26T19:58:21.5858565Z Args: 2025-08-26T19:58:21.5858933Z repo_or_dir (str): If ``source`` is 'github', 2025-08-26T19:58:21.5859478Z this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with 2025-08-26T19:58:21.5860686Z an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified, 2025-08-26T19:58:21.5861369Z the default branch is assumed to be ``main`` if it exists, and otherwise ``master``. 2025-08-26T19:58:21.5861967Z If ``source`` is 'local' then it should be a path to a local directory. 2025-08-26T19:58:21.5862487Z model (str): the name of a callable (entrypoint) defined in the 2025-08-26T19:58:21.5862911Z repo/dir's ``hubconf.py``. 2025-08-26T19:58:21.5863587Z *args (optional): the corresponding args for callable ``model``. 2025-08-26T19:58:21.5864098Z source (str, optional): 'github' or 'local'. Specifies how 2025-08-26T19:58:21.5864929Z ``repo_or_dir`` is to be interpreted. Default is 'github'. 2025-08-26T19:58:21.5865511Z trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``. 2025-08-26T19:58:21.5866085Z This parameter was introduced in v1.12 and helps ensuring that users 2025-08-26T19:58:21.5866549Z only run code from repos that they trust. 2025-08-26T19:58:21.5866803Z 2025-08-26T19:58:21.5866997Z - If ``False``, a prompt will ask the user whether the repo should 2025-08-26T19:58:21.5867405Z be trusted. 2025-08-26T19:58:21.5867754Z - If ``True``, the repo will be added to the trusted list and loaded 2025-08-26T19:58:21.5868193Z without requiring explicit confirmation. 2025-08-26T19:58:21.5868621Z - If ``"check"``, the repo will be checked against the list of 2025-08-26T19:58:21.5869135Z trusted repos in the cache. If it is not present in that list, the 2025-08-26T19:58:21.5869670Z behaviour will fall back onto the ``trust_repo=False`` option. 2025-08-26T19:58:21.5870176Z - If ``None``: this will raise a warning, inviting the user to set 2025-08-26T19:58:21.5870706Z ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This 2025-08-26T19:58:21.5871214Z is only present for backward compatibility and will be removed in 2025-08-26T19:58:21.5871634Z v2.0. 2025-08-26T19:58:21.5871784Z 2025-08-26T19:58:21.5871990Z Default is ``None`` and will eventually change to ``"check"`` in v2.0. 2025-08-26T19:58:21.5872534Z force_reload (bool, optional): whether to force a fresh download of 2025-08-26T19:58:21.5873144Z the github repo unconditionally. Does not have any effect if 2025-08-26T19:58:21.5873591Z ``source = 'local'``. Default is ``False``. 2025-08-26T19:58:21.5874056Z verbose (bool, optional): If ``False``, mute messages about hitting 2025-08-26T19:58:21.5874597Z local caches. Note that the message about first download cannot be 2025-08-26T19:58:21.5875107Z muted. Does not have any effect if ``source = 'local'``. 2025-08-26T19:58:21.5875488Z Default is ``True``. 2025-08-26T19:58:21.5875967Z skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit 2025-08-26T19:58:21.5876679Z specified by the ``github`` argument properly belongs to the repo owner. This will make 2025-08-26T19:58:21.5877365Z requests to the GitHub API; you can specify a non-default GitHub token by setting the 2025-08-26T19:58:21.5877930Z ``GITHUB_TOKEN`` environment variable. Default is ``False``. 2025-08-26T19:58:21.5878445Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2025-08-26T19:58:21.5878789Z 2025-08-26T19:58:21.5878873Z Returns: 2025-08-26T19:58:21.5879286Z The output of the ``model`` callable when called with the given 2025-08-26T19:58:21.5879698Z ``*args`` and ``**kwargs``. 2025-08-26T19:58:21.5879884Z 2025-08-26T19:58:21.5879971Z Example: 2025-08-26T19:58:21.5880233Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-08-26T19:58:21.5880583Z >>> # from a github repo 2025-08-26T19:58:21.5880869Z >>> repo = "pytorch/vision" 2025-08-26T19:58:21.5881149Z >>> model = torch.hub.load( 2025-08-26T19:58:21.5881526Z ... repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1" 2025-08-26T19:58:21.5881918Z ... ) 2025-08-26T19:58:21.5882143Z >>> # from a local directory 2025-08-26T19:58:21.5882453Z >>> path = "/some/local/path/pytorch/vision" 2025-08-26T19:58:21.5882796Z >>> # xdoctest: +SKIP 2025-08-26T19:58:21.5883212Z >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT") 2025-08-26T19:58:21.5883573Z 2025-08-26T19:58:21.5883838Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.5884208Z 2025-08-26T19:58:21.5884727Z msg = Cannot scrape callname=_load_local in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=657. 2025-08-26T19:58:21.5885547Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.5885936Z 2025-08-26T19:58:21.5886109Z Load a model from a local directory with a ``hubconf.py``. 2025-08-26T19:58:21.5886407Z 2025-08-26T19:58:21.5886491Z Args: 2025-08-26T19:58:21.5886802Z hubconf_dir (str): path to a local directory that contains a 2025-08-26T19:58:21.5887192Z ``hubconf.py``. 2025-08-26T19:58:21.5887544Z model (str): name of an entrypoint defined in the directory's 2025-08-26T19:58:21.5887944Z ``hubconf.py``. 2025-08-26T19:58:21.5888311Z *args (optional): the corresponding args for callable ``model``. 2025-08-26T19:58:21.5888845Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2025-08-26T19:58:21.5889182Z 2025-08-26T19:58:21.5889267Z Returns: 2025-08-26T19:58:21.5889573Z a single model with corresponding pretrained weights. 2025-08-26T19:58:21.5889850Z 2025-08-26T19:58:21.5889953Z Example: 2025-08-26T19:58:21.5890203Z >>> # xdoctest: +SKIP("stub local path") 2025-08-26T19:58:21.5890553Z >>> path = "/some/local/path/pytorch/vision" 2025-08-26T19:58:21.5890895Z >>> model = _load_local( 2025-08-26T19:58:21.5891169Z ... path, 2025-08-26T19:58:21.5891409Z ... "resnet50", 2025-08-26T19:58:21.5891699Z ... weights="ResNet50_Weights.IMAGENET1K_V1", 2025-08-26T19:58:21.5892039Z ... ) 2025-08-26T19:58:21.5892174Z 2025-08-26T19:58:21.5892425Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.5892793Z 2025-08-26T19:58:21.5893285Z msg = Cannot scrape callname=download_url_to_file in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=696. 2025-08-26T19:58:21.5894152Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.5894684Z Download object at the given URL to a local path. 2025-08-26T19:58:21.5894954Z 2025-08-26T19:58:21.5895039Z Args: 2025-08-26T19:58:21.5895290Z url (str): URL of the object to download 2025-08-26T19:58:21.5895767Z dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file`` 2025-08-26T19:58:21.5896446Z hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``. 2025-08-26T19:58:21.5897002Z Default: None 2025-08-26T19:58:21.5897424Z progress (bool, optional): whether or not to display a progress bar to stderr 2025-08-26T19:58:21.5897900Z Default: True 2025-08-26T19:58:21.5898064Z 2025-08-26T19:58:21.5898167Z Example: 2025-08-26T19:58:21.5898427Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-08-26T19:58:21.5898801Z >>> # xdoctest: +REQUIRES(POSIX) 2025-08-26T19:58:21.5899207Z >>> torch.hub.download_url_to_file( 2025-08-26T19:58:21.5899683Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth", 2025-08-26T19:58:21.5900122Z ... "/tmp/temporary_file", 2025-08-26T19:58:21.5900427Z ... ) 2025-08-26T19:58:21.5900556Z 2025-08-26T19:58:21.5900656Z 2025-08-26T19:58:21.5901027Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.5901398Z 2025-08-26T19:58:21.5901894Z msg = Cannot scrape callname=load_state_dict_from_url in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=821. 2025-08-26T19:58:21.5902777Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.5903315Z Loads the Torch serialized object at the given URL. 2025-08-26T19:58:21.5903578Z 2025-08-26T19:58:21.5903774Z If downloaded file is a zip file, it will be automatically 2025-08-26T19:58:21.5904170Z decompressed. 2025-08-26T19:58:21.5904320Z 2025-08-26T19:58:21.5904589Z If the object is already present in `model_dir`, it's deserialized and 2025-08-26T19:58:21.5905014Z returned. 2025-08-26T19:58:21.5905362Z The default value of ``model_dir`` is ``/checkpoints`` where 2025-08-26T19:58:21.5905894Z ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`. 2025-08-26T19:58:21.5906205Z 2025-08-26T19:58:21.5906288Z Args: 2025-08-26T19:58:21.5906541Z url (str): URL of the object to download 2025-08-26T19:58:21.5906980Z model_dir (str, optional): directory in which to save the object 2025-08-26T19:58:21.5907651Z map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load) 2025-08-26T19:58:21.5908379Z progress (bool, optional): whether or not to display a progress bar to stderr. 2025-08-26T19:58:21.5908842Z Default: True 2025-08-26T19:58:21.5909344Z check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention 2025-08-26T19:58:21.5910025Z ``filename-.ext`` where ```` is the first eight or more 2025-08-26T19:58:21.5910600Z digits of the SHA256 hash of the contents of the file. The hash is used to 2025-08-26T19:58:21.5911135Z ensure unique names and to verify the contents of the file. 2025-08-26T19:58:21.5911551Z Default: False 2025-08-26T19:58:21.5912068Z file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set. 2025-08-26T19:58:21.5912858Z weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects. 2025-08-26T19:58:21.5913648Z Recommended for untrusted sources. See :func:`~torch.load` for more details. 2025-08-26T19:58:21.5914029Z 2025-08-26T19:58:21.5914117Z Example: 2025-08-26T19:58:21.5914394Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-08-26T19:58:21.5914803Z >>> state_dict = torch.hub.load_state_dict_from_url( 2025-08-26T19:58:21.5915297Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth" 2025-08-26T19:58:21.5915710Z ... ) 2025-08-26T19:58:21.5915853Z 2025-08-26T19:58:21.5915935Z 2025-08-26T19:58:21.5916308Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.5916677Z 2025-08-26T19:58:21.5954427Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=375. 2025-08-26T19:58:21.5955452Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:21.5956073Z Registers the function implementation as the fallback for the given key. 2025-08-26T19:58:21.5956429Z 2025-08-26T19:58:21.5956645Z This function only works for a library with global namespace ("_"). 2025-08-26T19:58:21.5956995Z 2025-08-26T19:58:21.5957080Z Args: 2025-08-26T19:58:21.5957496Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-08-26T19:58:21.5958181Z to register a fallthrough. 2025-08-26T19:58:21.5958722Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-08-26T19:58:21.5959339Z the dispatch key that the library was created with. 2025-08-26T19:58:21.5959999Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-08-26T19:58:21.5960819Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-08-26T19:58:21.5961262Z 2025-08-26T19:58:21.5961394Z Example:: 2025-08-26T19:58:21.5961535Z 2025-08-26T19:58:21.5961659Z >>> my_lib = Library("_", "IMPL") 2025-08-26T19:58:21.5962008Z >>> def fallback_kernel(op, *args, **kwargs): 2025-08-26T19:58:21.5962387Z >>> # Handle all autocast ops generically 2025-08-26T19:58:21.5962730Z >>> # ... 2025-08-26T19:58:21.5963132Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-08-26T19:58:21.5963470Z 2025-08-26T19:58:21.5964235Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-08-26T19:58:21.5964992Z 2025-08-26T19:58:21.5965125Z my_lib.fallback(fallback_kernel, "Autocast") 2025-08-26T19:58:21.5965458Z ^ 2025-08-26T19:58:21.6034589Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=948. 2025-08-26T19:58:21.6035438Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:21.6036041Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-08-26T19:58:21.6036403Z 2025-08-26T19:58:21.6036583Z Also sometimes known as a "meta kernel", "abstract impl". 2025-08-26T19:58:21.6036888Z 2025-08-26T19:58:21.6037153Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-08-26T19:58:21.6037744Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-08-26T19:58:21.6038313Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-08-26T19:58:21.6038813Z what the properties of the output Tensors are. 2025-08-26T19:58:21.6039083Z 2025-08-26T19:58:21.6039315Z The FakeTensor implementation has the same signature as the operator. 2025-08-26T19:58:21.6039878Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-08-26T19:58:21.6040415Z implementation, assume that all Tensor inputs to the operator are 2025-08-26T19:58:21.6040965Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-08-26T19:58:21.6041506Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-08-26T19:58:21.6042076Z The FakeTensor implementation must consist of only PyTorch operations 2025-08-26T19:58:21.6042639Z (and may not directly access the storage or data of any input or 2025-08-26T19:58:21.6043050Z intermediate Tensors). 2025-08-26T19:58:21.6043238Z 2025-08-26T19:58:21.6043390Z This API may be used as a decorator (see examples). 2025-08-26T19:58:21.6043719Z 2025-08-26T19:58:21.6043927Z For a detailed guide on custom ops, please see 2025-08-26T19:58:21.6044686Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-08-26T19:58:21.6045043Z 2025-08-26T19:58:21.6045148Z Args: 2025-08-26T19:58:21.6045486Z op_name: Operator name (along with the overload) or OpOverload object. 2025-08-26T19:58:21.6046016Z func: Fake tensor implementation. 2025-08-26T19:58:21.6046436Z lib (Optional[Library]): Library to register the fake tensor to. 2025-08-26T19:58:21.6046950Z allow_override: Flag controlling if we want to override an 2025-08-26T19:58:21.6047441Z existing registered fake impl. This is by default off, 2025-08-26T19:58:21.6048055Z and will error you're trying to register a fake impl to 2025-08-26T19:58:21.6048520Z an operator that already has a fake impl. This also only 2025-08-26T19:58:21.6048989Z applies if the custom operator was not created via 2025-08-26T19:58:21.6049481Z torch.library.custom_op, as overriding and existing fake 2025-08-26T19:58:21.6049917Z impl is already allowed. 2025-08-26T19:58:21.6050143Z 2025-08-26T19:58:21.6050250Z Examples: 2025-08-26T19:58:21.6050474Z >>> import torch 2025-08-26T19:58:21.6050753Z >>> import numpy as np 2025-08-26T19:58:21.6051056Z >>> from torch import Tensor 2025-08-26T19:58:21.6051356Z >>> 2025-08-26T19:58:21.6051661Z >>> # Example 1: an operator without data-dependent output shape 2025-08-26T19:58:21.6052216Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-08-26T19:58:21.6052851Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-26T19:58:21.6053388Z >>> raise NotImplementedError("Implementation goes here") 2025-08-26T19:58:21.6053784Z >>> 2025-08-26T19:58:21.6054074Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-08-26T19:58:21.6054472Z >>> def _(x, weight, bias): 2025-08-26T19:58:21.6054970Z >>> assert x.dim() == 2 2025-08-26T19:58:21.6055290Z >>> assert weight.dim() == 2 2025-08-26T19:58:21.6055608Z >>> assert bias.dim() == 1 2025-08-26T19:58:21.6055954Z >>> assert x.shape[1] == weight.shape[1] 2025-08-26T19:58:21.6056336Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-26T19:58:21.6056712Z >>> assert x.device == weight.device 2025-08-26T19:58:21.6057024Z >>> 2025-08-26T19:58:21.6057268Z >>> return (x @ weight.t()) + bias 2025-08-26T19:58:21.6057581Z >>> 2025-08-26T19:58:21.6057881Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-08-26T19:58:21.6058263Z >>> x = torch.randn(2, 3) 2025-08-26T19:58:21.6058578Z >>> w = torch.randn(3, 3) 2025-08-26T19:58:21.6058884Z >>> b = torch.randn(3) 2025-08-26T19:58:21.6059222Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-08-26T19:58:21.6059552Z >>> 2025-08-26T19:58:21.6059780Z >>> assert y.shape == (2, 3) 2025-08-26T19:58:21.6060071Z >>> 2025-08-26T19:58:21.6060376Z >>> # Example 2: an operator with data-dependent output shape 2025-08-26T19:58:21.6060882Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-08-26T19:58:21.6061357Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-08-26T19:58:21.6061717Z >>> x_np = x.numpy(force=True) 2025-08-26T19:58:21.6062077Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-26T19:58:21.6062469Z >>> return torch.tensor(res, device=x.device) 2025-08-26T19:58:21.6062804Z >>> 2025-08-26T19:58:21.6063114Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-08-26T19:58:21.6063494Z >>> def _(x): 2025-08-26T19:58:21.6063800Z >>> # Number of nonzero-elements is data-dependent. 2025-08-26T19:58:21.6064210Z >>> # Since we cannot peek at the data in an fake impl, 2025-08-26T19:58:21.6064644Z >>> # we use the ctx object to construct a new symint that 2025-08-26T19:58:21.6065052Z >>> # represents the data-dependent size. 2025-08-26T19:58:21.6065415Z >>> ctx = torch.library.get_ctx() 2025-08-26T19:58:21.6065745Z >>> nnz = ctx.new_dynamic_size() 2025-08-26T19:58:21.6066078Z >>> shape = [nnz, x.dim()] 2025-08-26T19:58:21.6066513Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-26T19:58:21.6066887Z >>> return result 2025-08-26T19:58:21.6067297Z >>> 2025-08-26T19:58:21.6067620Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-08-26T19:58:21.6068010Z >>> 2025-08-26T19:58:21.6068257Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-08-26T19:58:21.6068716Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-08-26T19:58:21.6069199Z >>> trace.print_readable() 2025-08-26T19:58:21.6069491Z >>> 2025-08-26T19:58:21.6069842Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-08-26T19:58:21.6070184Z 2025-08-26T19:58:21.6070266Z 2025-08-26T19:58:21.6070918Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-08-26T19:58:21.6071578Z 2025-08-26T19:58:21.6071661Z _._ = None 2025-08-26T19:58:21.6071869Z ^ 2025-08-26T19:58:21.6072492Z msg = Cannot scrape callname=register_autograd in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1083. 2025-08-26T19:58:21.6073539Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.6074076Z Register a backward formula for this custom op. 2025-08-26T19:58:21.6074346Z 2025-08-26T19:58:21.6074551Z In order for an operator to work with autograd, you need to register 2025-08-26T19:58:21.6074989Z a backward formula: 2025-08-26T19:58:21.6075388Z 1. You must tell us how to compute gradients during the backward pass 2025-08-26T19:58:21.6075828Z by providing us a "backward" function. 2025-08-26T19:58:21.6076369Z 2. If you need any values from the forward to compute gradients, you can 2025-08-26T19:58:21.6076852Z use `setup_context` to save values for backward. 2025-08-26T19:58:21.6077106Z 2025-08-26T19:58:21.6077350Z ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``: 2025-08-26T19:58:21.6077886Z - ``grads`` is one or more gradients. The number of gradients matches 2025-08-26T19:58:21.6078333Z the number of outputs of the operator. 2025-08-26T19:58:21.6078790Z The ``ctx`` object is `the same ctx object `_ used by 2025-08-26T19:58:21.6079374Z :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the 2025-08-26T19:58:21.6079897Z same as :meth:`torch.autograd.Function.backward`. 2025-08-26T19:58:21.6080165Z 2025-08-26T19:58:21.6080375Z ``setup_context(ctx, inputs, output)`` runs during the forward pass. 2025-08-26T19:58:21.6080941Z Please save quantities needed for backward onto the ``ctx`` object via 2025-08-26T19:58:21.6081531Z either :meth:`torch.autograd.function.FunctionCtx.save_for_backward` 2025-08-26T19:58:21.6082094Z or assigning them as attributes of ``ctx``. If your custom op has 2025-08-26T19:58:21.6082615Z kwarg-only arguments, we expect the signature of ``setup_context`` 2025-08-26T19:58:21.6083150Z to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``. 2025-08-26T19:58:21.6083481Z 2025-08-26T19:58:21.6083705Z Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is, 2025-08-26T19:58:21.6084280Z they may not directly access :meth:`torch.Tensor.data_ptr` and they must 2025-08-26T19:58:21.6084864Z not depend on or mutate global state. If you need a non-traceable backward, 2025-08-26T19:58:21.6085436Z you can make it a separate custom_op that you call inside ``backward_fn``. 2025-08-26T19:58:21.6085819Z 2025-08-26T19:58:21.6086037Z If you need different autograd behavior on different devices, then we 2025-08-26T19:58:21.6086613Z recommend creating two different custom operators, one for each device 2025-08-26T19:58:21.6087200Z that needs different behavior, and switching between them at runtime. 2025-08-26T19:58:21.6087538Z 2025-08-26T19:58:21.6087645Z Examples: 2025-08-26T19:58:21.6087865Z >>> import torch 2025-08-26T19:58:21.6088141Z >>> import numpy as np 2025-08-26T19:58:21.6088439Z >>> from torch import Tensor 2025-08-26T19:58:21.6088815Z >>> 2025-08-26T19:58:21.6089256Z >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=()) 2025-08-26T19:58:21.6089752Z >>> def numpy_sin(x: Tensor) -> Tensor: 2025-08-26T19:58:21.6090102Z >>> x_np = x.cpu().numpy() 2025-08-26T19:58:21.6090423Z >>> y_np = np.sin(x_np) 2025-08-26T19:58:21.6090776Z >>> return torch.from_numpy(y_np).to(device=x.device) 2025-08-26T19:58:21.6091153Z >>> 2025-08-26T19:58:21.6091439Z >>> def setup_context(ctx, inputs, output) -> Tensor: 2025-08-26T19:58:21.6091817Z >>> x, = inputs 2025-08-26T19:58:21.6092095Z >>> ctx.save_for_backward(x) 2025-08-26T19:58:21.6092413Z >>> 2025-08-26T19:58:21.6092653Z >>> def backward(ctx, grad): 2025-08-26T19:58:21.6092974Z >>> x, = ctx.saved_tensors 2025-08-26T19:58:21.6093277Z >>> return grad * x.cos() 2025-08-26T19:58:21.6093575Z >>> 2025-08-26T19:58:21.6093835Z >>> torch.library.register_autograd( 2025-08-26T19:58:21.6094329Z ... "mylib::numpy_sin", backward, setup_context=setup_context 2025-08-26T19:58:21.6094708Z ... ) 2025-08-26T19:58:21.6094926Z >>> 2025-08-26T19:58:21.6095181Z >>> x = torch.randn(3, requires_grad=True) 2025-08-26T19:58:21.6095522Z >>> y = numpy_sin(x) 2025-08-26T19:58:21.6095863Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2025-08-26T19:58:21.6096282Z >>> assert torch.allclose(grad_x, x.cos()) 2025-08-26T19:58:21.6096609Z >>> 2025-08-26T19:58:21.6096851Z >>> # Example with a keyword-only arg 2025-08-26T19:58:21.6097271Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2025-08-26T19:58:21.6097881Z >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor: 2025-08-26T19:58:21.6098313Z >>> x_np = x.cpu().numpy() 2025-08-26T19:58:21.6098669Z >>> y_np = x_np * val 2025-08-26T19:58:21.6099065Z >>> return torch.from_numpy(y_np).to(device=x.device) 2025-08-26T19:58:21.6099715Z >>> 2025-08-26T19:58:21.6100167Z >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor: 2025-08-26T19:58:21.6100646Z >>> ctx.val = keyword_only_inputs["val"] 2025-08-26T19:58:21.6100980Z >>> 2025-08-26T19:58:21.6101200Z >>> def backward(ctx, grad): 2025-08-26T19:58:21.6101516Z >>> return grad * ctx.val 2025-08-26T19:58:21.6101814Z >>> 2025-08-26T19:58:21.6102063Z >>> torch.library.register_autograd( 2025-08-26T19:58:21.6102466Z ... "mylib::numpy_mul", backward, setup_context=setup_context 2025-08-26T19:58:21.6102901Z ... ) 2025-08-26T19:58:21.6103122Z >>> 2025-08-26T19:58:21.6103375Z >>> x = torch.randn(3, requires_grad=True) 2025-08-26T19:58:21.6103710Z >>> y = numpy_mul(x, val=3.14) 2025-08-26T19:58:21.6104093Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2025-08-26T19:58:21.6104574Z >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14)) 2025-08-26T19:58:21.6104863Z 2025-08-26T19:58:21.6104959Z 2025-08-26T19:58:21.6105318Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.6105701Z 2025-08-26T19:58:21.6106203Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1482. 2025-08-26T19:58:21.6107044Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:21.6107632Z Returns the computed kernel for a given operator and dispatch key. 2025-08-26T19:58:21.6107958Z 2025-08-26T19:58:21.6108199Z This function retrieves the kernel that would be executed for a given 2025-08-26T19:58:21.6108788Z operator and dispatch key combination. The returned SafeKernelFunction 2025-08-26T19:58:21.6109332Z can be used to call the kernel in a boxed fashion. The intended use 2025-08-26T19:58:21.6109994Z case for this function is to retrieve the original kernel for a given 2025-08-26T19:58:21.6110633Z dispatch key and then register another kernel to the same dispatch key 2025-08-26T19:58:21.6111427Z that calls into the original kernel for certain cases. 2025-08-26T19:58:21.6111788Z 2025-08-26T19:58:21.6111877Z Args: 2025-08-26T19:58:21.6112262Z op: Operator name (along with the overload) or OpOverload object 2025-08-26T19:58:21.6113326Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-08-26T19:58:21.6113944Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-08-26T19:58:21.6114518Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-08-26T19:58:21.6114826Z 2025-08-26T19:58:21.6114911Z Returns: 2025-08-26T19:58:21.6115287Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-08-26T19:58:21.6115803Z call the kernel. 2025-08-26T19:58:21.6115989Z 2025-08-26T19:58:21.6116086Z Raises: 2025-08-26T19:58:21.6116457Z RuntimeError: If the operator does not exist. 2025-08-26T19:58:21.6116729Z 2025-08-26T19:58:21.6116819Z Example: 2025-08-26T19:58:21.6117076Z >>> # Get the CPU kernel for torch.add 2025-08-26T19:58:21.6117508Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-08-26T19:58:21.6117911Z >>> 2025-08-26T19:58:21.6118146Z >>> # You can also use DispatchKey enum 2025-08-26T19:58:21.6118644Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-08-26T19:58:21.6119112Z >>> 2025-08-26T19:58:21.6119352Z >>> # Or use an OpOverload directly 2025-08-26T19:58:21.6119794Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-08-26T19:58:21.6120230Z >>> 2025-08-26T19:58:21.6120573Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-08-26T19:58:21.6121047Z >>> # Get the original kernel for torch.sin 2025-08-26T19:58:21.6121503Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-08-26T19:58:21.6121934Z >>> 2025-08-26T19:58:21.6122297Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-08-26T19:58:21.6122795Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-08-26T19:58:21.6123150Z >>> if (x < 0).any(): 2025-08-26T19:58:21.6123516Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-08-26T19:58:21.6123909Z >>> else: 2025-08-26T19:58:21.6124183Z >>> return torch.zeros_like(x) 2025-08-26T19:58:21.6124499Z >>> 2025-08-26T19:58:21.6124750Z >>> lib = torch.library.Library("aten", "IMPL") 2025-08-26T19:58:21.6125261Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-08-26T19:58:21.6125850Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-08-26T19:58:21.6126366Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-08-26T19:58:21.6126753Z >>> 2025-08-26T19:58:21.6126999Z >>> # Test the conditional behavior 2025-08-26T19:58:21.6127356Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-08-26T19:58:21.6127718Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-08-26T19:58:21.6128045Z >>> torch.sin(x_positive) 2025-08-26T19:58:21.6128351Z tensor([0., 0.]) 2025-08-26T19:58:21.6128628Z >>> torch.sin(x_mixed) 2025-08-26T19:58:21.6128925Z tensor([-0.8415, 0.9093]) 2025-08-26T19:58:21.6129195Z 2025-08-26T19:58:21.6129808Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-08-26T19:58:21.6130424Z 2025-08-26T19:58:21.6130606Z which needs to be the first argument to ``kernel.call_boxed`` 2025-08-26T19:58:21.6130999Z ^ 2025-08-26T19:58:21.6131704Z msg = Cannot scrape callname=opcheck in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1571. 2025-08-26T19:58:21.6132554Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.6133146Z Given an operator and some sample arguments, tests if the operator is 2025-08-26T19:58:21.6133596Z registered correctly. 2025-08-26T19:58:21.6133784Z 2025-08-26T19:58:21.6133992Z That is, when you use the torch.library/TORCH_LIBRARY APIs to create a 2025-08-26T19:58:21.6134579Z custom op, you specified metadata (e.g. mutability info) about the custom op 2025-08-26T19:58:21.6135177Z and these APIs require that the functions you pass them satisfy certain 2025-08-26T19:58:21.6135741Z properties (e.g. no data pointer access in the fake/meta/abstract kernel) 2025-08-26T19:58:21.6136248Z ``opcheck`` tests these metadata and properties. 2025-08-26T19:58:21.6136518Z 2025-08-26T19:58:21.6136638Z Concretely, we test the following: 2025-08-26T19:58:21.6136852Z 2025-08-26T19:58:21.6137099Z - test_schema: If the schema matches the implementation of 2025-08-26T19:58:21.6137609Z the operator. For example: if the schema specifies a Tensor is mutated, 2025-08-26T19:58:21.6138165Z then we check the implementation mutates the Tensor. If the schema 2025-08-26T19:58:21.6138685Z specifies that we return a new Tensor, then we check that the 2025-08-26T19:58:21.6139218Z implementation returns a new Tensor (instead of an existing one or 2025-08-26T19:58:21.6139665Z a view of an existing one). 2025-08-26T19:58:21.6140056Z - test_autograd_registration: If the operator supports training 2025-08-26T19:58:21.6140574Z (autograd): we check that its autograd formula is registered via 2025-08-26T19:58:21.6141107Z torch.library.register_autograd or a manual registration to one 2025-08-26T19:58:21.6141650Z or more DispatchKey::Autograd keys. Any other DispatchKey-based 2025-08-26T19:58:21.6142102Z registrations may lead to undefined behavior. 2025-08-26T19:58:21.6142551Z - test_faketensor: If the operator has a FakeTensor kernel 2025-08-26T19:58:21.6143028Z (and if it is correct). The FakeTensor kernel is necessary ( 2025-08-26T19:58:21.6143553Z but not sufficient) for the operator to work with PyTorch compilation 2025-08-26T19:58:21.6144114Z APIs (torch.compile/export/FX). We check that a FakeTensor kernel 2025-08-26T19:58:21.6144630Z (also sometimes known as a meta kernel) was registered for the 2025-08-26T19:58:21.6145138Z operator and that it is correct. This test takes the result of 2025-08-26T19:58:21.6145646Z running the operator on real tensors and the result of running 2025-08-26T19:58:21.6146158Z the operator on FakeTensors and checks that they have the same 2025-08-26T19:58:21.6146611Z Tensor metadata (sizes/strides/dtype/device/etc). 2025-08-26T19:58:21.6147083Z - test_aot_dispatch_dynamic: If the operator has correct behavior 2025-08-26T19:58:21.6147589Z with PyTorch compilation APIs (torch.compile/export/FX). 2025-08-26T19:58:21.6148099Z This checks that the outputs (and gradients, if applicable) are the 2025-08-26T19:58:21.6148585Z same under eager-mode PyTorch and torch.compile. 2025-08-26T19:58:21.6149036Z This test is a superset of ``test_faketensor`` and is an e2e test; 2025-08-26T19:58:21.6149516Z other things it tests are that the operator supports 2025-08-26T19:58:21.6150021Z functionalization and that the backward pass (if it exists) also 2025-08-26T19:58:21.6150502Z supports FakeTensor and functionalization. 2025-08-26T19:58:21.6150750Z 2025-08-26T19:58:21.6150946Z For best results, please call ``opcheck`` multiple times with a 2025-08-26T19:58:21.6151448Z representative set of inputs. If your operator supports 2025-08-26T19:58:21.6151984Z autograd, please use ``opcheck`` with inputs with ``requires_grad = True``; 2025-08-26T19:58:21.6152642Z if your operator supports multiple devices (e.g. CPU and CUDA), please 2025-08-26T19:58:21.6153242Z use ``opcheck`` with inputs on all supported devices. 2025-08-26T19:58:21.6153514Z 2025-08-26T19:58:21.6153602Z Args: 2025-08-26T19:58:21.6153913Z op: The operator. Must either be a function decorated with 2025-08-26T19:58:21.6154430Z :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket 2025-08-26T19:58:21.6155170Z found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo) 2025-08-26T19:58:21.6155609Z args: The args to the operator 2025-08-26T19:58:21.6155949Z kwargs: The kwargs to the operator 2025-08-26T19:58:21.6156369Z test_utils: Tests that we should run. Default: all of them. 2025-08-26T19:58:21.6156811Z Example: ("test_schema", "test_faketensor") 2025-08-26T19:58:21.6157248Z raise_exception: If we should raise an exception on the first 2025-08-26T19:58:21.6157732Z error. If False, we will return a dict with information 2025-08-26T19:58:21.6158264Z on if each test passed or not. 2025-08-26T19:58:21.6158739Z rtol (Optional[float]): Relative tolerance for floating point comparisons. 2025-08-26T19:58:21.6159245Z If specified ``atol`` must also be specified. 2025-08-26T19:58:21.6159679Z If omitted, default values based on the ``dtype`` are selected 2025-08-26T19:58:21.6160167Z (see the table in :func:`torch.testing.assert_close`). 2025-08-26T19:58:21.6160693Z atol (Optional[float]): Absolute tolerance for floating point comparisons. 2025-08-26T19:58:21.6161200Z If specified ``rtol`` must also be specified. 2025-08-26T19:58:21.6161632Z If omitted, default values based on the ``dtype`` are selected 2025-08-26T19:58:21.6162111Z (see the table in :func:`torch.testing.assert_close`). 2025-08-26T19:58:21.6162403Z 2025-08-26T19:58:21.6162502Z .. warning:: 2025-08-26T19:58:21.6162639Z 2025-08-26T19:58:21.6162879Z opcheck and :func:`torch.autograd.gradcheck` test different things; 2025-08-26T19:58:21.6163429Z opcheck tests if your usage of torch.library APIs is correct while 2025-08-26T19:58:21.6163960Z :func:`torch.autograd.gradcheck` tests if your autograd formula is 2025-08-26T19:58:21.6164518Z mathematically correct. Use both to test custom ops that support 2025-08-26T19:58:21.6164966Z gradient computation. 2025-08-26T19:58:21.6165154Z 2025-08-26T19:58:21.6165258Z Example: 2025-08-26T19:58:21.6165386Z 2025-08-26T19:58:21.6165541Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T19:58:21.6165992Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2025-08-26T19:58:21.6166464Z >>> def numpy_mul(x: Tensor, y: float) -> Tensor: 2025-08-26T19:58:21.6166834Z >>> x_np = x.numpy(force=True) 2025-08-26T19:58:21.6167158Z >>> z_np = x_np * y 2025-08-26T19:58:21.6167470Z >>> return torch.from_numpy(z_np).to(x.device) 2025-08-26T19:58:21.6167819Z >>> 2025-08-26T19:58:21.6168076Z >>> @numpy_mul.register_fake 2025-08-26T19:58:21.6168386Z >>> def _(x, y): 2025-08-26T19:58:21.6168656Z >>> return torch.empty_like(x) 2025-08-26T19:58:21.6168971Z >>> 2025-08-26T19:58:21.6169233Z >>> def setup_context(ctx, inputs, output): 2025-08-26T19:58:21.6169579Z >>> y, = inputs 2025-08-26T19:58:21.6169835Z >>> ctx.y = y 2025-08-26T19:58:21.6170090Z >>> 2025-08-26T19:58:21.6170324Z >>> def backward(ctx, grad): 2025-08-26T19:58:21.6170646Z >>> return grad * ctx.y, None 2025-08-26T19:58:21.6170941Z >>> 2025-08-26T19:58:21.6171295Z >>> numpy_mul.register_autograd(backward, setup_context=setup_context) 2025-08-26T19:58:21.6171734Z >>> 2025-08-26T19:58:21.6171969Z >>> sample_inputs = [ 2025-08-26T19:58:21.6172255Z >>> (torch.randn(3), 3.14), 2025-08-26T19:58:21.6172710Z >>> (torch.randn(2, 3, device='cuda'), 2.718), 2025-08-26T19:58:21.6173125Z >>> (torch.randn(1, 10, requires_grad=True), 1.234), 2025-08-26T19:58:21.6173590Z >>> (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18), 2025-08-26T19:58:21.6173980Z >>> ] 2025-08-26T19:58:21.6174201Z >>> 2025-08-26T19:58:21.6174443Z >>> for args in sample_inputs: 2025-08-26T19:58:21.6174803Z >>> torch.library.opcheck(numpy_mul, args) 2025-08-26T19:58:21.6175049Z 2025-08-26T19:58:21.6175129Z 2025-08-26T19:58:21.6175503Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.6175886Z 2025-08-26T19:58:21.6571405Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py line=1285. 2025-08-26T19:58:21.6572591Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.6573664Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args) 2025-08-26T19:58:21.6574717Z 2025-08-26T19:58:21.6575010Z Loads an object saved with :func:`torch.save` from a file. 2025-08-26T19:58:21.6575446Z 2025-08-26T19:58:21.6575783Z :func:`torch.load` uses Python's unpickling facilities but treats storages, 2025-08-26T19:58:21.6576453Z which underlie tensors, specially. They are first deserialized on the 2025-08-26T19:58:21.6577027Z CPU and are then moved to the device they were saved from. If this fails 2025-08-26T19:58:21.6577607Z (e.g. because the run time system doesn't have certain devices), an exception 2025-08-26T19:58:21.6578206Z is raised. However, storages can be dynamically remapped to an alternative 2025-08-26T19:58:21.6578726Z set of devices using the :attr:`map_location` argument. 2025-08-26T19:58:21.6579019Z 2025-08-26T19:58:21.6579261Z If :attr:`map_location` is a callable, it will be called once for each serialized 2025-08-26T19:58:21.6579871Z storage with two arguments: storage and location. The storage argument 2025-08-26T19:58:21.6580453Z will be the initial deserialization of the storage, residing on the CPU. 2025-08-26T19:58:21.6581035Z Each serialized storage has a location tag associated with it which 2025-08-26T19:58:21.6581571Z identifies the device it was saved from, and this tag is the second 2025-08-26T19:58:21.6582172Z argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'`` 2025-08-26T19:58:21.6582777Z for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors. 2025-08-26T19:58:21.6583330Z :attr:`map_location` should return either ``None`` or a storage. If 2025-08-26T19:58:21.6583910Z :attr:`map_location` returns a storage, it will be used as the final deserialized 2025-08-26T19:58:21.6584522Z object, already moved to the right device. Otherwise, :func:`torch.load` will 2025-08-26T19:58:21.6585140Z fall back to the default behavior, as if :attr:`map_location` wasn't specified. 2025-08-26T19:58:21.6585521Z 2025-08-26T19:58:21.6585758Z If :attr:`map_location` is a :class:`torch.device` object or a string containing 2025-08-26T19:58:21.6586355Z a device tag, it indicates the location where all tensors should be loaded. 2025-08-26T19:58:21.6586704Z 2025-08-26T19:58:21.6586976Z Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags 2025-08-26T19:58:21.6587556Z appearing in the file (keys), to ones that specify where to put the 2025-08-26T19:58:21.6587986Z storages (values). 2025-08-26T19:58:21.6588159Z 2025-08-26T19:58:21.6588383Z User extensions can register their own location tags and tagging and 2025-08-26T19:58:21.6588995Z deserialization methods using :func:`torch.serialization.register_package`. 2025-08-26T19:58:21.6589376Z 2025-08-26T19:58:21.6589640Z See :ref:`layout-control` for more advanced tools to manipulate a checkpoint. 2025-08-26T19:58:21.6590003Z 2025-08-26T19:58:21.6590254Z Args: 2025-08-26T19:58:21.6590714Z f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`), 2025-08-26T19:58:21.6591344Z or a string or os.PathLike object containing a file name 2025-08-26T19:58:21.6591971Z map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage 2025-08-26T19:58:21.6592503Z locations 2025-08-26T19:58:21.6592891Z pickle_module: module used for unpickling metadata and objects (has to 2025-08-26T19:58:21.6593726Z match the :attr:`pickle_module` used to serialize file) 2025-08-26T19:58:21.6594244Z weights_only: Indicates whether unpickler should be restricted to 2025-08-26T19:58:21.6594754Z loading only tensors, primitive types, dictionaries 2025-08-26T19:58:21.6595245Z and any types added via :func:`torch.serialization.add_safe_globals`. 2025-08-26T19:58:21.6595722Z See :ref:`weights-only` for more details. 2025-08-26T19:58:21.6596388Z mmap: Indicates whether the file should be mapped rather than loading all the storages into memory. 2025-08-26T19:58:21.6597189Z Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they 2025-08-26T19:58:21.6597983Z are moved to the location that they were tagged with when saving, or specified by ``map_location``. This 2025-08-26T19:58:21.6598784Z second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the 2025-08-26T19:58:21.6599567Z tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages 2025-08-26T19:58:21.6600178Z will be lazily loaded when their data is accessed. 2025-08-26T19:58:21.6600690Z pickle_load_args: (Python 3 only) optional keyword arguments passed over to 2025-08-26T19:58:21.6601270Z :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g., 2025-08-26T19:58:21.6601725Z :attr:`errors=...`. 2025-08-26T19:58:21.6601927Z 2025-08-26T19:58:21.6602049Z .. warning:: 2025-08-26T19:58:21.6602405Z :func:`torch.load()` unless `weights_only` parameter is set to `True`, 2025-08-26T19:58:21.6602941Z uses ``pickle`` module implicitly, which is known to be insecure. 2025-08-26T19:58:21.6603527Z It is possible to construct malicious pickle data which will execute arbitrary code 2025-08-26T19:58:21.6604175Z during unpickling. Never load data that could have come from an untrusted 2025-08-26T19:58:21.6604837Z source in an unsafe mode, or that could have been tampered with. **Only load data you trust**. 2025-08-26T19:58:21.6605251Z 2025-08-26T19:58:21.6605354Z .. note:: 2025-08-26T19:58:21.6605753Z When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors 2025-08-26T19:58:21.6606388Z will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')`` 2025-08-26T19:58:21.6607059Z and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint. 2025-08-26T19:58:21.6607467Z 2025-08-26T19:58:21.6607556Z .. note:: 2025-08-26T19:58:21.6607950Z By default, we decode byte strings as ``utf-8``. This is to avoid a common error 2025-08-26T19:58:21.6608533Z case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...`` 2025-08-26T19:58:21.6609077Z when loading files saved by Python 2 in Python 3. If this default 2025-08-26T19:58:21.6609672Z is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how 2025-08-26T19:58:21.6610300Z these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them 2025-08-26T19:58:21.6610909Z to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them 2025-08-26T19:58:21.6611491Z as byte arrays which can be decoded later with ``byte_array.decode(...)``. 2025-08-26T19:58:21.6611922Z 2025-08-26T19:58:21.6612007Z Example: 2025-08-26T19:58:21.6612305Z >>> # xdoctest: +SKIP("undefined filepaths") 2025-08-26T19:58:21.6612703Z >>> torch.load("tensors.pt", weights_only=True) 2025-08-26T19:58:21.6613065Z # Load all tensors onto the CPU 2025-08-26T19:58:21.6613386Z >>> torch.load( 2025-08-26T19:58:21.6613656Z ... "tensors.pt", 2025-08-26T19:58:21.6613983Z ... map_location=torch.device("cpu"), 2025-08-26T19:58:21.6614320Z ... weights_only=True, 2025-08-26T19:58:21.6614619Z ... ) 2025-08-26T19:58:21.6614907Z # Load all tensors onto the CPU, using a function 2025-08-26T19:58:21.6615277Z >>> torch.load( 2025-08-26T19:58:21.6615530Z ... "tensors.pt", 2025-08-26T19:58:21.6615865Z ... map_location=lambda storage, loc: storage, 2025-08-26T19:58:21.6616233Z ... weights_only=True, 2025-08-26T19:58:21.6616534Z ... ) 2025-08-26T19:58:21.6616773Z # Load all tensors onto GPU 1 2025-08-26T19:58:21.6617160Z >>> torch.load( 2025-08-26T19:58:21.6617421Z ... "tensors.pt", 2025-08-26T19:58:21.6617781Z ... map_location=lambda storage, loc: storage.cuda(1), 2025-08-26T19:58:21.6618178Z ... weights_only=True, 2025-08-26T19:58:21.6618485Z ... ) # type: ignore[attr-defined] 2025-08-26T19:58:21.6618833Z # Map tensors from GPU 1 to GPU 0 2025-08-26T19:58:21.6619155Z >>> torch.load( 2025-08-26T19:58:21.6619411Z ... "tensors.pt", 2025-08-26T19:58:21.6619701Z ... map_location={"cuda:1": "cuda:0"}, 2025-08-26T19:58:21.6620041Z ... weights_only=True, 2025-08-26T19:58:21.6620323Z ... ) 2025-08-26T19:58:21.6620576Z # Load tensor from io.BytesIO object 2025-08-26T19:58:21.6621043Z # Loading from a buffer setting weights_only=False, warning this can be unsafe 2025-08-26T19:58:21.6621538Z >>> with open("tensor.pt", "rb") as f: 2025-08-26T19:58:21.6621892Z ... buffer = io.BytesIO(f.read()) 2025-08-26T19:58:21.6622252Z >>> torch.load(buffer, weights_only=False) 2025-08-26T19:58:21.6622639Z # Load a module with 'ascii' encoding for unpickling 2025-08-26T19:58:21.6623154Z # Loading from a module setting weights_only=False, warning this can be unsafe 2025-08-26T19:58:21.6623727Z >>> torch.load("module.pt", encoding="ascii", weights_only=False) 2025-08-26T19:58:21.6624134Z 2025-08-26T19:58:21.6624493Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.6624879Z 2025-08-26T19:58:21.7115120Z msg = Cannot scrape callname=compute_required_storage_length in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims_common/__init__.py line=1877. 2025-08-26T19:58:21.7116151Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.7116761Z Computes the minimum storage size to hold the given tensor geometry. 2025-08-26T19:58:21.7117110Z 2025-08-26T19:58:21.7117209Z Example 2025-08-26T19:58:21.7117417Z ======= 2025-08-26T19:58:21.7117555Z 2025-08-26T19:58:21.7117785Z This is the size of a newly allocated tensor's storage, in units of elements 2025-08-26T19:58:21.7118145Z 2025-08-26T19:58:21.7118249Z >>> t = torch.empty((10, 20)) 2025-08-26T19:58:21.7118694Z >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset()) 2025-08-26T19:58:21.7119143Z 200 2025-08-26T19:58:21.7119257Z 2025-08-26T19:58:21.7119359Z >>> # xdoctest: +SKIP(failing) 2025-08-26T19:58:21.7119720Z >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11)) 2025-08-26T19:58:21.7120101Z >>> size = compute_required_storage_length( 2025-08-26T19:58:21.7120484Z ... t2.shape, t2.stride(), t2.storage_offset() 2025-08-26T19:58:21.7120983Z ... ) 2025-08-26T19:58:21.7121201Z >>> size == t.storage().size() 2025-08-26T19:58:21.7121491Z True 2025-08-26T19:58:21.7121606Z 2025-08-26T19:58:21.7122052Z A valid tensor may have a larger storage size, but never smaller 2025-08-26T19:58:21.7122367Z 2025-08-26T19:58:21.7122494Z >>> slice = torch.empty(100)[20:40] 2025-08-26T19:58:21.7122806Z >>> slice.storage().size() 2025-08-26T19:58:21.7123089Z 100 2025-08-26T19:58:21.7123204Z 2025-08-26T19:58:21.7123337Z >>> compute_required_storage_length( 2025-08-26T19:58:21.7123733Z ... slice.shape, slice.stride(), slice.storage_offset() 2025-08-26T19:58:21.7124086Z ... ) 2025-08-26T19:58:21.7124292Z 40 2025-08-26T19:58:21.7124421Z 2025-08-26T19:58:21.7124501Z 2025-08-26T19:58:21.7124869Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.7125236Z 2025-08-26T19:58:21.7737300Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=66. 2025-08-26T19:58:21.7738205Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:21.7739040Z Check if the current accelerator is available at runtime: it was build, all the 2025-08-26T19:58:21.7739642Z required drivers are available and at least one device is visible. 2025-08-26T19:58:21.7740132Z See :ref:`accelerator` for details. 2025-08-26T19:58:21.7740391Z 2025-08-26T19:58:21.7740500Z Returns: 2025-08-26T19:58:21.7740907Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-08-26T19:58:21.7741320Z 2025-08-26T19:58:21.7741594Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-08-26T19:58:21.7742222Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-08-26T19:58:21.7742855Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-08-26T19:58:21.7743377Z :ref:`multiprocessing-poison-fork-note`. 2025-08-26T19:58:21.7743628Z 2025-08-26T19:58:21.7743719Z Example:: 2025-08-26T19:58:21.7743931Z 2025-08-26T19:58:21.7744246Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T19:58:21.7753467Z 2025-08-26T19:58:21.7754342Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-08-26T19:58:21.7755289Z 2025-08-26T19:58:21.7755567Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T19:58:21.7756116Z ^ 2025-08-26T19:58:21.7756915Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=212. 2025-08-26T19:58:21.7757823Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:21.7758410Z Wait for all kernels in all streams on the given device to complete. 2025-08-26T19:58:21.7758732Z 2025-08-26T19:58:21.7758836Z Args: 2025-08-26T19:58:21.7759297Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-08-26T19:58:21.7759979Z the current :ref:`accelerator` device type. If not given, 2025-08-26T19:58:21.7760539Z use :func:`torch.accelerator.current_device_index` by default. 2025-08-26T19:58:21.7760852Z 2025-08-26T19:58:21.7761197Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-08-26T19:58:21.7761623Z 2025-08-26T19:58:21.7761730Z Example:: 2025-08-26T19:58:21.7761867Z 2025-08-26T19:58:21.7762003Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T19:58:21.7762537Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T19:58:21.7763081Z >>> start_event = torch.Event(enable_timing=True) 2025-08-26T19:58:21.7763483Z >>> end_event = torch.Event(enable_timing=True) 2025-08-26T19:58:21.7764037Z >>> start_event.record() 2025-08-26T19:58:21.7764464Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-08-26T19:58:21.7764940Z >>> sum = torch.sum(tensor) 2025-08-26T19:58:21.7765256Z >>> end_event.record() 2025-08-26T19:58:21.7765575Z >>> torch.accelerator.synchronize() 2025-08-26T19:58:21.7765970Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-08-26T19:58:21.7766350Z 2025-08-26T19:58:21.7767028Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-08-26T19:58:21.7767702Z 2025-08-26T19:58:21.7767978Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T19:58:21.7768445Z ^ 2025-08-26T19:58:21.8030237Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py line=434. 2025-08-26T19:58:21.8031303Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:21.8031801Z Retrieves the CUDA runtime API module. 2025-08-26T19:58:21.8032022Z 2025-08-26T19:58:21.8032026Z 2025-08-26T19:58:21.8032295Z This function initializes the CUDA runtime environment if it is not already 2025-08-26T19:58:21.8032910Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-08-26T19:58:21.8033527Z runtime API module provides access to various CUDA runtime functions. 2025-08-26T19:58:21.8033881Z 2025-08-26T19:58:21.8033965Z Args: 2025-08-26T19:58:21.8034181Z ``None`` 2025-08-26T19:58:21.8034317Z 2025-08-26T19:58:21.8034418Z Returns: 2025-08-26T19:58:21.8034684Z module: The CUDA runtime API module (_cudart). 2025-08-26T19:58:21.8034953Z 2025-08-26T19:58:21.8035038Z Raises: 2025-08-26T19:58:21.8035404Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-08-26T19:58:21.8036141Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-08-26T19:58:21.8036623Z 2025-08-26T19:58:21.8036772Z Example of CUDA operations with profiling: 2025-08-26T19:58:21.8037104Z >>> import torch 2025-08-26T19:58:21.8037419Z >>> from torch.cuda import cudart, check_error 2025-08-26T19:58:21.8037765Z >>> import os 2025-08-26T19:58:21.8038010Z >>> 2025-08-26T19:58:21.8038239Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-08-26T19:58:21.8038558Z >>> 2025-08-26T19:58:21.8038829Z >>> def perform_cuda_operations_with_streams(): 2025-08-26T19:58:21.8039204Z >>> stream = torch.cuda.Stream() 2025-08-26T19:58:21.8039553Z >>> with torch.cuda.stream(stream): 2025-08-26T19:58:21.8039923Z >>> x = torch.randn(100, 100, device='cuda') 2025-08-26T19:58:21.8040300Z >>> y = torch.randn(100, 100, device='cuda') 2025-08-26T19:58:21.8040655Z >>> z = torch.mul(x, y) 2025-08-26T19:58:21.8040969Z >>> return z 2025-08-26T19:58:21.8041206Z >>> 2025-08-26T19:58:21.8041439Z >>> torch.cuda.synchronize() 2025-08-26T19:58:21.8041786Z >>> print("====== Start nsys profiling ======") 2025-08-26T19:58:21.8042182Z >>> check_error(cudart().cudaProfilerStart()) 2025-08-26T19:58:21.8042562Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-08-26T19:58:21.8042974Z >>> result = perform_cuda_operations_with_streams() 2025-08-26T19:58:21.8043376Z >>> print("CUDA operations completed.") 2025-08-26T19:58:21.8043788Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-08-26T19:58:21.8044187Z >>> print("====== End nsys profiling ======") 2025-08-26T19:58:21.8044436Z 2025-08-26T19:58:21.8044636Z To run this example and save the profiling information, execute: 2025-08-26T19:58:21.8045327Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-26T19:58:21.8045975Z 2025-08-26T19:58:21.8046242Z This command profiles the CUDA operations in the provided script and saves 2025-08-26T19:58:21.8046814Z the profiling information to a file named `trace_name.prof`. 2025-08-26T19:58:21.8047351Z The `--profile-from-start off` option ensures that profiling starts only 2025-08-26T19:58:21.8047865Z after the `cudaProfilerStart` call in the script. 2025-08-26T19:58:21.8048362Z The `--csv` and `--print-summary` options format the profiling output as a 2025-08-26T19:58:21.8048843Z CSV file and print a summary, respectively. 2025-08-26T19:58:21.8049329Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-08-26T19:58:21.8049853Z overwrite of the output file if it already exists. 2025-08-26T19:58:21.8050210Z 2025-08-26T19:58:21.8050987Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-08-26T19:58:21.8051829Z 2025-08-26T19:58:21.8052197Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-26T19:58:21.8052742Z ^ 2025-08-26T19:58:21.8197499Z msg = Cannot scrape callname=Future.then in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=101. 2025-08-26T19:58:21.8198403Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.8198783Z 2025-08-26T19:58:21.8199051Z Append the given callback function to this ``Future``, which will be run 2025-08-26T19:58:21.8199616Z when the ``Future`` is completed. Multiple callbacks can be added to 2025-08-26T19:58:21.8200155Z the same ``Future``, but the order in which they will be executed cannot 2025-08-26T19:58:21.8200660Z be guaranteed (to enforce a certain order consider chaining: 2025-08-26T19:58:21.8201172Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which 2025-08-26T19:58:21.8201735Z is the reference to this ``Future``. The callback function can use the 2025-08-26T19:58:21.8202277Z :meth:`value` method to get the value. Note that if this ``Future`` is 2025-08-26T19:58:21.8202818Z already completed, the given callback will be run immediately inline. 2025-08-26T19:58:21.8203170Z 2025-08-26T19:58:21.8203365Z If the ``Future``'s value contains tensors that reside on GPUs, the 2025-08-26T19:58:21.8203902Z callback might be invoked while the async kernels that are populating 2025-08-26T19:58:21.8204475Z those tensors haven't yet finished executing on the device. However, the 2025-08-26T19:58:21.8205038Z callback will be invoked with some dedicated streams set as current 2025-08-26T19:58:21.8205561Z (fetched from a global pool) which will be synchronized with those 2025-08-26T19:58:21.8206124Z kernels. Hence any operation performed by the callback on these tensors 2025-08-26T19:58:21.8206687Z will be scheduled on the device after the kernels complete. In other 2025-08-26T19:58:21.8207300Z words, as long as the callback doesn't switch streams, it can safely 2025-08-26T19:58:21.8207938Z manipulate the result without any additional synchronization. This is 2025-08-26T19:58:21.8208599Z similar to the non-blocking behavior of :meth:`wait`. 2025-08-26T19:58:21.8208885Z 2025-08-26T19:58:21.8209097Z Similarly, if the callback returns a value that contains tensors that 2025-08-26T19:58:21.8209636Z reside on a GPU, it can do so even if the kernels that are producing 2025-08-26T19:58:21.8210175Z these tensors are still running on the device, as long as the callback 2025-08-26T19:58:21.8210709Z didn't change streams during its execution. If one wants to change 2025-08-26T19:58:21.8211250Z streams, one must be careful to re-synchronize them with the original 2025-08-26T19:58:21.8211804Z streams, that is, those that were current when the callback was invoked. 2025-08-26T19:58:21.8212137Z 2025-08-26T19:58:21.8212237Z Args: 2025-08-26T19:58:21.8212739Z callback(``Callable``): a ``Callable`` that takes this ``Future`` as 2025-08-26T19:58:21.8213189Z the only argument. 2025-08-26T19:58:21.8213425Z 2025-08-26T19:58:21.8213514Z Returns: 2025-08-26T19:58:21.8213808Z A new ``Future`` object that holds the return value of the 2025-08-26T19:58:21.8214274Z ``callback`` and will be marked as completed when the given 2025-08-26T19:58:21.8214664Z ``callback`` finishes. 2025-08-26T19:58:21.8214848Z 2025-08-26T19:58:21.8215053Z .. note:: Note that if the callback function throws, either 2025-08-26T19:58:21.8215552Z through the original future being completed with an exception and 2025-08-26T19:58:21.8216083Z calling ``fut.wait()``, or through other code in the callback, the 2025-08-26T19:58:21.8216588Z future returned by ``then`` will be marked appropriately with the 2025-08-26T19:58:21.8217110Z encountered error. However, if this callback later completes 2025-08-26T19:58:21.8217654Z additional futures, those futures are not marked as completed with 2025-08-26T19:58:21.8218290Z an error and the user is responsible for handling completion/waiting 2025-08-26T19:58:21.8218740Z on those futures independently. 2025-08-26T19:58:21.8218947Z 2025-08-26T19:58:21.8219040Z Example:: 2025-08-26T19:58:21.8219177Z 2025-08-26T19:58:21.8219325Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2025-08-26T19:58:21.8219697Z >>> def callback(fut): 2025-08-26T19:58:21.8220018Z ... print(f"RPC return value is {fut.wait()}.") 2025-08-26T19:58:21.8220376Z >>> fut = torch.futures.Future() 2025-08-26T19:58:21.8220764Z >>> # The inserted callback will print the return value when 2025-08-26T19:58:21.8221178Z >>> # receiving the response from "worker1" 2025-08-26T19:58:21.8221528Z >>> cb_fut = fut.then(callback) 2025-08-26T19:58:21.8221826Z >>> chain_cb_fut = cb_fut.then( 2025-08-26T19:58:21.8222181Z ... lambda x : print(f"Chained cb done. {x.wait()}") 2025-08-26T19:58:21.8222542Z ... ) 2025-08-26T19:58:21.8222769Z >>> fut.set_result(5) 2025-08-26T19:58:21.8223032Z RPC return value is 5. 2025-08-26T19:58:21.8223312Z Chained cb done. None 2025-08-26T19:58:21.8223492Z 2025-08-26T19:58:21.8223745Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.8224117Z 2025-08-26T19:58:21.8224683Z msg = Cannot scrape callname=Future.set_result in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=211. 2025-08-26T19:58:21.8225726Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.8226105Z 2025-08-26T19:58:21.8226330Z Set the result for this ``Future``, which will mark this ``Future`` as 2025-08-26T19:58:21.8226870Z completed and trigger all attached callbacks. Note that a ``Future`` 2025-08-26T19:58:21.8227329Z cannot be marked completed twice. 2025-08-26T19:58:21.8227551Z 2025-08-26T19:58:21.8227771Z If the result contains tensors that reside on GPUs, this method can be 2025-08-26T19:58:21.8228328Z called even if the asynchronous kernels that are populating those 2025-08-26T19:58:21.8228859Z tensors haven't yet completed running on the device, provided that the 2025-08-26T19:58:21.8229428Z streams on which those kernels were enqueued are set as the current ones 2025-08-26T19:58:21.8229985Z when this method is called. Put simply, it's safe to call this method 2025-08-26T19:58:21.8230535Z immediately after launching those kernels, without any additional 2025-08-26T19:58:21.8231099Z synchronization, as long as one doesn't change streams in between. This 2025-08-26T19:58:21.8231653Z method will record events on all the relevant current streams and will 2025-08-26T19:58:21.8232195Z use them to ensure proper scheduling for all the consumers of this 2025-08-26T19:58:21.8232606Z ``Future``. 2025-08-26T19:58:21.8232727Z 2025-08-26T19:58:21.8232824Z Args: 2025-08-26T19:58:21.8233161Z result (object): the result object of this ``Future``. 2025-08-26T19:58:21.8233544Z 2025-08-26T19:58:21.8233638Z Example:: 2025-08-26T19:58:21.8233779Z 2025-08-26T19:58:21.8233925Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2025-08-26T19:58:21.8234293Z >>> import threading 2025-08-26T19:58:21.8234555Z >>> import time 2025-08-26T19:58:21.8234802Z >>> def slow_set_future(fut, value): 2025-08-26T19:58:21.8235120Z ... time.sleep(0.5) 2025-08-26T19:58:21.8235406Z ... fut.set_result(value) 2025-08-26T19:58:21.8235703Z >>> fut = torch.futures.Future() 2025-08-26T19:58:21.8236022Z >>> t = threading.Thread( 2025-08-26T19:58:21.8236313Z ... target=slow_set_future, 2025-08-26T19:58:21.8236627Z ... args=(fut, torch.ones(2) * 3) 2025-08-26T19:58:21.8236997Z ... ) 2025-08-26T19:58:21.8237212Z >>> t.start() 2025-08-26T19:58:21.8237457Z >>> print(fut.wait()) 2025-08-26T19:58:21.8237729Z tensor([3., 3.]) 2025-08-26T19:58:21.8237959Z >>> t.join() 2025-08-26T19:58:21.8238115Z 2025-08-26T19:58:21.8238449Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.8238837Z 2025-08-26T19:58:21.8328764Z msg = Cannot scrape callname=compile_shader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/mps/__init__.py line=145. 2025-08-26T19:58:21.8329666Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.8330275Z Compiles compute shader from source and allows one to invoke kernels 2025-08-26T19:58:21.8330769Z defined there from the comfort of Python runtime 2025-08-26T19:58:21.8331123Z Example:: 2025-08-26T19:58:21.8331269Z 2025-08-26T19:58:21.8331407Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS) 2025-08-26T19:58:21.8331781Z >>> lib = torch.mps.compile_shader( 2025-08-26T19:58:21.8332419Z ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }" 2025-08-26T19:58:21.8333002Z ... ) 2025-08-26T19:58:21.8333272Z >>> x = torch.zeros(16, device="mps") 2025-08-26T19:58:21.8333608Z >>> lib.full(x, 3.14) 2025-08-26T19:58:21.8333883Z 2025-08-26T19:58:21.8334245Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.8334630Z 2025-08-26T19:58:21.8555468Z msg = Cannot scrape callname=sum in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py line=202. 2025-08-26T19:58:21.8556327Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.8556879Z Return the sum of each row of the given sparse tensor. 2025-08-26T19:58:21.8557152Z 2025-08-26T19:58:21.8557392Z Returns the sum of each row of the sparse tensor :attr:`input` in the given 2025-08-26T19:58:21.8557948Z dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions, 2025-08-26T19:58:21.8558465Z reduce over all of them. When sum over all ``sparse_dim``, this method 2025-08-26T19:58:21.8558957Z returns a dense tensor instead of a sparse tensor. 2025-08-26T19:58:21.8559258Z 2025-08-26T19:58:21.8559524Z All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output 2025-08-26T19:58:21.8560110Z tensor having :attr:`dim` fewer dimensions than :attr:`input`. 2025-08-26T19:58:21.8560417Z 2025-08-26T19:58:21.8560653Z During backward, only gradients at ``nnz`` locations of :attr:`input` 2025-08-26T19:58:21.8561229Z will propagate back. Note that the gradients of :attr:`input` is coalesced. 2025-08-26T19:58:21.8561607Z 2025-08-26T19:58:21.8561695Z Args: 2025-08-26T19:58:21.8561950Z input (Tensor): the input sparse tensor 2025-08-26T19:58:21.8562471Z dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce 2025-08-26T19:58:21.8562973Z over all dims. 2025-08-26T19:58:21.8563395Z dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor. 2025-08-26T19:58:21.8563892Z Default: dtype of :attr:`input`. 2025-08-26T19:58:21.8564404Z 2025-08-26T19:58:21.8564531Z Example:: 2025-08-26T19:58:21.8564661Z 2025-08-26T19:58:21.8564766Z >>> nnz = 3 2025-08-26T19:58:21.8564993Z >>> dims = [5, 5, 2, 3] 2025-08-26T19:58:21.8565402Z >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)), 2025-08-26T19:58:21.8565913Z torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz) 2025-08-26T19:58:21.8566444Z >>> V = torch.randn(nnz, dims[2], dims[3]) 2025-08-26T19:58:21.8566775Z >>> size = torch.Size(dims) 2025-08-26T19:58:21.8567127Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-26T19:58:21.8567515Z >>> S = torch.sparse_coo_tensor(I, V, size) 2025-08-26T19:58:21.8567861Z >>> S 2025-08-26T19:58:21.8568096Z tensor(indices=tensor([[2, 0, 3], 2025-08-26T19:58:21.8568421Z [2, 4, 1]]), 2025-08-26T19:58:21.8568776Z values=tensor([[[-0.6438, -1.6467, 1.4004], 2025-08-26T19:58:21.8569310Z [ 0.3411, 0.0918, -0.2312]], 2025-08-26T19:58:21.8569540Z 2025-08-26T19:58:21.8569668Z [[ 0.5348, 0.0634, -2.0494], 2025-08-26T19:58:21.8569998Z [-0.7125, -1.0646, 2.1844]], 2025-08-26T19:58:21.8570238Z 2025-08-26T19:58:21.8570347Z [[ 0.1276, 0.1874, -0.6334], 2025-08-26T19:58:21.8570692Z [-1.9682, -0.5340, 0.7483]]]), 2025-08-26T19:58:21.8571073Z size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo) 2025-08-26T19:58:21.8571331Z 2025-08-26T19:58:21.8571538Z # when sum over only part of sparse_dims, return a sparse tensor 2025-08-26T19:58:21.8572070Z >>> torch.sparse.sum(S, [1, 3]) 2025-08-26T19:58:21.8572408Z tensor(indices=tensor([[0, 2, 3]]), 2025-08-26T19:58:21.8572761Z values=tensor([[-1.4512, 0.4073], 2025-08-26T19:58:21.8573102Z [-0.8901, 0.2017], 2025-08-26T19:58:21.8573426Z [-0.3183, -1.7539]]), 2025-08-26T19:58:21.8573793Z size=(5, 2), nnz=3, layout=torch.sparse_coo) 2025-08-26T19:58:21.8574057Z 2025-08-26T19:58:21.8574211Z # when sum over all sparse dim, return a dense tensor 2025-08-26T19:58:21.8574596Z # with summed dims squeezed 2025-08-26T19:58:21.8574906Z >>> torch.sparse.sum(S, [0, 1, 3]) 2025-08-26T19:58:21.8575230Z tensor([-2.6596, -1.1450]) 2025-08-26T19:58:21.8575514Z 2025-08-26T19:58:21.8575884Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.8576254Z 2025-08-26T19:58:21.8576823Z msg = Cannot scrape callname=as_sparse_gradcheck in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py line=550. 2025-08-26T19:58:21.8577724Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:21.8578296Z Decorate function, to extend gradcheck for sparse tensors. 2025-08-26T19:58:21.8578614Z 2025-08-26T19:58:21.8578836Z Decorator for torch.autograd.gradcheck or its functools.partial 2025-08-26T19:58:21.8579395Z variants that extends the gradcheck function with support to input 2025-08-26T19:58:21.8579909Z functions that operate on or/and return sparse tensors. 2025-08-26T19:58:21.8580194Z 2025-08-26T19:58:21.8580405Z The specified gradcheck function itself is guaranteed to operate 2025-08-26T19:58:21.8580842Z on strided tensors only. 2025-08-26T19:58:21.8581040Z 2025-08-26T19:58:21.8581128Z For example: 2025-08-26T19:58:21.8581267Z 2025-08-26T19:58:21.8581517Z >>> gradcheck = torch.sparse.as_sparse_gradcheck(torch.autograd.gradcheck) 2025-08-26T19:58:21.8581953Z >>> x = ( 2025-08-26T19:58:21.8582246Z ... torch.tensor([[0, 1], [2, 3]], dtype=torch.float64) 2025-08-26T19:58:21.8582628Z ... .to_sparse_coo() 2025-08-26T19:58:21.8582914Z ... .requires_grad_(True) 2025-08-26T19:58:21.8583269Z ... ) 2025-08-26T19:58:21.8583530Z >>> gradcheck(lambda x: x.to_sparse_csr(), x) 2025-08-26T19:58:21.8583864Z True 2025-08-26T19:58:21.8584072Z 2025-08-26T19:58:21.8584465Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:21.8584848Z 2025-08-26T19:58:22.7376375Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=39. 2025-08-26T19:58:22.7377668Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:22.7378051Z 2025-08-26T19:58:22.7378288Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-08-26T19:58:22.7378835Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-08-26T19:58:22.7379364Z pushes the map into PyTorch operations called by ``func``, effectively 2025-08-26T19:58:22.7379817Z vectorizing those operations. 2025-08-26T19:58:22.7380026Z 2025-08-26T19:58:22.7380264Z vmap is useful for handling batch dimensions: one can write a function 2025-08-26T19:58:22.7381045Z ``func`` that runs on examples and then lift it to a function that can 2025-08-26T19:58:22.7381591Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-08-26T19:58:22.7382084Z compute batched gradients when composed with autograd. 2025-08-26T19:58:22.7382379Z 2025-08-26T19:58:22.7382497Z .. note:: 2025-08-26T19:58:22.7382814Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-08-26T19:58:22.7383256Z convenience. Use whichever one you'd like. 2025-08-26T19:58:22.7383495Z 2025-08-26T19:58:22.7383579Z Args: 2025-08-26T19:58:22.7383917Z func (function): A Python function that takes one or more arguments. 2025-08-26T19:58:22.7384365Z Must return one or more Tensors. 2025-08-26T19:58:22.7384798Z in_dims (int or nested structure): Specifies which dimension of the 2025-08-26T19:58:22.7385287Z inputs should be mapped over. ``in_dims`` should have a 2025-08-26T19:58:22.7385791Z structure like the inputs. If the ``in_dim`` for a particular 2025-08-26T19:58:22.7386506Z input is None, then that indicates there is no map dimension. 2025-08-26T19:58:22.7386979Z Default: 0. 2025-08-26T19:58:22.7387392Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-08-26T19:58:22.7388065Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-08-26T19:58:22.7388537Z it should have one element per output. Default: 0. 2025-08-26T19:58:22.7389071Z randomness (str): Specifies whether the randomness in this 2025-08-26T19:58:22.7389657Z vmap should be the same or different across batches. If 'different', 2025-08-26T19:58:22.7390226Z the randomness for each batch will be different. If 'same', the 2025-08-26T19:58:22.7390787Z randomness will be the same across batches. If 'error', any calls to 2025-08-26T19:58:22.7391408Z random functions will error. Default: 'error'. WARNING: this flag 2025-08-26T19:58:22.7392028Z only applies to random PyTorch operations and does not apply to 2025-08-26T19:58:22.7392477Z Python's random module or numpy randomness. 2025-08-26T19:58:22.7393079Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-08-26T19:58:22.7393729Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-08-26T19:58:22.7394394Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-08-26T19:58:22.7395114Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-08-26T19:58:22.7395504Z 2025-08-26T19:58:22.7395590Z Returns: 2025-08-26T19:58:22.7395967Z Returns a new "batched" function. It takes the same inputs as 2025-08-26T19:58:22.7396512Z ``func``, except each input has an extra dimension at the index 2025-08-26T19:58:22.7397021Z specified by ``in_dims``. It takes returns the same outputs as 2025-08-26T19:58:22.7397733Z ``func``, except each output has an extra dimension at the index 2025-08-26T19:58:22.7398214Z specified by ``out_dims``. 2025-08-26T19:58:22.7398414Z 2025-08-26T19:58:22.7398498Z .. warning: 2025-08-26T19:58:22.7398890Z :func:`vmap` works best with functional-style code. Please do not 2025-08-26T19:58:22.7399396Z perform any side-effects in ``func``, with the exception of 2025-08-26T19:58:22.7399992Z in-place PyTorch operations. Examples of side-effects include mutating 2025-08-26T19:58:22.7400642Z Python data structures and assigning values to variables not captured 2025-08-26T19:58:22.7401095Z in ``func``. 2025-08-26T19:58:22.7401282Z 2025-08-26T19:58:22.7401528Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-08-26T19:58:22.7402156Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-08-26T19:58:22.7402774Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-08-26T19:58:22.7403129Z 2025-08-26T19:58:22.7403337Z >>> torch.dot # [D], [D] -> [] 2025-08-26T19:58:22.7403818Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-08-26T19:58:22.7404320Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-26T19:58:22.7404657Z >>> batched_dot(x, y) 2025-08-26T19:58:22.7404840Z 2025-08-26T19:58:22.7405129Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-08-26T19:58:22.7405592Z model authoring experience. 2025-08-26T19:58:22.7405799Z 2025-08-26T19:58:22.7405965Z >>> batch_size, feature_size = 3, 5 2025-08-26T19:58:22.7406355Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-26T19:58:22.7406808Z >>> 2025-08-26T19:58:22.7407038Z >>> def model(feature_vec): 2025-08-26T19:58:22.7407402Z >>> # Very simple linear model with activation 2025-08-26T19:58:22.7407783Z >>> return feature_vec.dot(weights).relu() 2025-08-26T19:58:22.7408129Z >>> 2025-08-26T19:58:22.7408454Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-26T19:58:22.7408848Z >>> result = torch.vmap(model)(examples) 2025-08-26T19:58:22.7409139Z 2025-08-26T19:58:22.7409402Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-08-26T19:58:22.7410063Z or impossible to batch. One example is higher-order gradient computation. 2025-08-26T19:58:22.7410714Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-08-26T19:58:22.7411354Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-08-26T19:58:22.7411960Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-08-26T19:58:22.7412624Z we can vectorize the whole computation, computing the Jacobian in a single 2025-08-26T19:58:22.7413162Z call to ``autograd.grad``. 2025-08-26T19:58:22.7413354Z 2025-08-26T19:58:22.7413441Z >>> # Setup 2025-08-26T19:58:22.7413665Z >>> N = 5 2025-08-26T19:58:22.7413942Z >>> f = lambda x: x**2 2025-08-26T19:58:22.7414250Z >>> x = torch.randn(N, requires_grad=True) 2025-08-26T19:58:22.7414579Z >>> y = f(x) 2025-08-26T19:58:22.7414819Z >>> I_N = torch.eye(N) 2025-08-26T19:58:22.7415111Z >>> 2025-08-26T19:58:22.7415398Z >>> # Sequential approach 2025-08-26T19:58:22.7415806Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-08-26T19:58:22.7416257Z >>> for v in I_N.unbind()] 2025-08-26T19:58:22.7416594Z >>> jacobian = torch.stack(jacobian_rows) 2025-08-26T19:58:22.7416914Z >>> 2025-08-26T19:58:22.7417153Z >>> # vectorized gradient computation 2025-08-26T19:58:22.7417539Z >>> def get_vjp(v): 2025-08-26T19:58:22.7417813Z >>> return torch.autograd.grad(y, x, v) 2025-08-26T19:58:22.7418172Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-08-26T19:58:22.7418407Z 2025-08-26T19:58:22.7418669Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-08-26T19:58:22.7419140Z 2025-08-26T19:58:22.7419261Z >>> torch.dot # [D], [D] -> [] 2025-08-26T19:58:22.7419582Z >>> batched_dot = torch.vmap( 2025-08-26T19:58:22.7419873Z ... torch.vmap(torch.dot) 2025-08-26T19:58:22.7420189Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-08-26T19:58:22.7420562Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-08-26T19:58:22.7420949Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-08-26T19:58:22.7421250Z 2025-08-26T19:58:22.7421494Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-08-26T19:58:22.7422010Z the dimension that each inputs are batched along as 2025-08-26T19:58:22.7422286Z 2025-08-26T19:58:22.7422391Z >>> torch.dot # [N], [N] -> [] 2025-08-26T19:58:22.7422819Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-08-26T19:58:22.7423290Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-26T19:58:22.7423614Z >>> batched_dot( 2025-08-26T19:58:22.7423861Z ... x, y 2025-08-26T19:58:22.7424300Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-08-26T19:58:22.7424631Z 2025-08-26T19:58:22.7424890Z If there are multiple inputs each of which is batched along different dimensions, 2025-08-26T19:58:22.7425480Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-08-26T19:58:22.7425797Z 2025-08-26T19:58:22.7425921Z >>> torch.dot # [D], [D] -> [] 2025-08-26T19:58:22.7426355Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-08-26T19:58:22.7426847Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-26T19:58:22.7427180Z >>> batched_dot( 2025-08-26T19:58:22.7427431Z ... x, y 2025-08-26T19:58:22.7427757Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-08-26T19:58:22.7428100Z 2025-08-26T19:58:22.7428393Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-08-26T19:58:22.7428881Z matching the shape of the input: 2025-08-26T19:58:22.7429082Z 2025-08-26T19:58:22.7429243Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-08-26T19:58:22.7429634Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-26T19:58:22.7429961Z >>> input = {"x": x, "y": y} 2025-08-26T19:58:22.7430340Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-08-26T19:58:22.7430745Z >>> batched_dot(input) 2025-08-26T19:58:22.7430918Z 2025-08-26T19:58:22.7431212Z By default, the output is batched along the first dimension. However, it can be batched 2025-08-26T19:58:22.7431722Z along any dimension by using ``out_dims`` 2025-08-26T19:58:22.7431968Z 2025-08-26T19:58:22.7432066Z >>> f = lambda x: x**2 2025-08-26T19:58:22.7432344Z >>> x = torch.randn(2, 5) 2025-08-26T19:58:22.7432659Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-08-26T19:58:22.7433039Z >>> batched_pow(x) # [5, 2] 2025-08-26T19:58:22.7433249Z 2025-08-26T19:58:22.7433538Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-08-26T19:58:22.7434057Z accept kwargs 2025-08-26T19:58:22.7434193Z 2025-08-26T19:58:22.7434318Z >>> x = torch.randn([2, 5]) 2025-08-26T19:58:22.7434615Z >>> def fn(x, scale=4.): 2025-08-26T19:58:22.7434879Z >>> return x * scale 2025-08-26T19:58:22.7435136Z >>> 2025-08-26T19:58:22.7435362Z >>> batched_pow = torch.vmap(fn) 2025-08-26T19:58:22.7435717Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-08-26T19:58:22.7436186Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-08-26T19:58:22.7436544Z 2025-08-26T19:58:22.7436647Z .. note:: 2025-08-26T19:58:22.7436995Z vmap does not provide general autobatching or handle variable-length 2025-08-26T19:58:22.7437444Z sequences out of the box. 2025-08-26T19:58:22.7437630Z 2025-08-26T19:58:22.7437882Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:22.7438265Z 2025-08-26T19:58:22.7438888Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=306. 2025-08-26T19:58:22.7439732Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:22.7440360Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-08-26T19:58:22.7440924Z input(s) specified by ``argnums``. This operator can be nested to 2025-08-26T19:58:22.7441360Z compute higher-order gradients. 2025-08-26T19:58:22.7441644Z 2025-08-26T19:58:22.7441730Z Args: 2025-08-26T19:58:22.7442070Z func (Callable): A Python function that takes one or more arguments. 2025-08-26T19:58:22.7442669Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-08-26T19:58:22.7443327Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-08-26T19:58:22.7443821Z ``(output, aux)``. 2025-08-26T19:58:22.7444369Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-08-26T19:58:22.7444982Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-08-26T19:58:22.7445537Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-08-26T19:58:22.7446054Z auxiliary objects: ``(output, aux)``. Default: False. 2025-08-26T19:58:22.7446332Z 2025-08-26T19:58:22.7446437Z Returns: 2025-08-26T19:58:22.7446848Z Function to compute gradients with respect to its inputs. By default, the output of 2025-08-26T19:58:22.7447500Z the function is the gradient tensor(s) with respect to the first argument. 2025-08-26T19:58:22.7448129Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-08-26T19:58:22.7448780Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-08-26T19:58:22.7449287Z respect to each ``argnums`` value is returned. 2025-08-26T19:58:22.7449554Z 2025-08-26T19:58:22.7449661Z Example of using ``grad``: 2025-08-26T19:58:22.7449857Z 2025-08-26T19:58:22.7449956Z >>> # xdoctest: +SKIP 2025-08-26T19:58:22.7450256Z >>> from torch.func import grad 2025-08-26T19:58:22.7450579Z >>> x = torch.randn([]) 2025-08-26T19:58:22.7450878Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-08-26T19:58:22.7451246Z >>> assert torch.allclose(cos_x, x.cos()) 2025-08-26T19:58:22.7451572Z >>> 2025-08-26T19:58:22.7451806Z >>> # Second-order gradients 2025-08-26T19:58:22.7452148Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-08-26T19:58:22.7452556Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-08-26T19:58:22.7452801Z 2025-08-26T19:58:22.7453062Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-08-26T19:58:22.7453428Z 2025-08-26T19:58:22.7453541Z >>> # xdoctest: +SKIP 2025-08-26T19:58:22.7453838Z >>> from torch.func import grad, vmap 2025-08-26T19:58:22.7454191Z >>> batch_size, feature_size = 3, 5 2025-08-26T19:58:22.7454501Z >>> 2025-08-26T19:58:22.7454932Z >>> def model(weights, feature_vec): 2025-08-26T19:58:22.7455281Z >>> # Very simple linear model with activation 2025-08-26T19:58:22.7455642Z >>> assert feature_vec.dim() == 1 2025-08-26T19:58:22.7456008Z >>> return feature_vec.dot(weights).relu() 2025-08-26T19:58:22.7456339Z >>> 2025-08-26T19:58:22.7456588Z >>> def compute_loss(weights, example, target): 2025-08-26T19:58:22.7456955Z >>> y = model(weights, example) 2025-08-26T19:58:22.7457315Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-08-26T19:58:22.7457654Z >>> 2025-08-26T19:58:22.7457959Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-26T19:58:22.7458392Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-26T19:58:22.7458915Z >>> targets = torch.randn(batch_size) 2025-08-26T19:58:22.7459279Z >>> inputs = (weights, examples, targets) 2025-08-26T19:58:22.7459755Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-08-26T19:58:22.7460197Z ... *inputs 2025-08-26T19:58:22.7460445Z ... ) 2025-08-26T19:58:22.7460573Z 2025-08-26T19:58:22.7460764Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-08-26T19:58:22.7461052Z 2025-08-26T19:58:22.7461168Z >>> # xdoctest: +SKIP 2025-08-26T19:58:22.7461454Z >>> from torch.func import grad 2025-08-26T19:58:22.7461785Z >>> def my_loss_func(y, y_pred): 2025-08-26T19:58:22.7462142Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-08-26T19:58:22.7462509Z >>> loss = loss_per_sample.mean() 2025-08-26T19:58:22.7462855Z >>> return loss, (y_pred, loss_per_sample) 2025-08-26T19:58:22.7463190Z >>> 2025-08-26T19:58:22.7463479Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-08-26T19:58:22.7463934Z >>> y_true = torch.rand(4) 2025-08-26T19:58:22.7464263Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-08-26T19:58:22.7464627Z >>> out = fn(y_true, y_preds) 2025-08-26T19:58:22.7465095Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-08-26T19:58:22.7465459Z 2025-08-26T19:58:22.7465573Z .. note:: 2025-08-26T19:58:22.7465888Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-08-26T19:58:22.7466175Z 2025-08-26T19:58:22.7466323Z Case 1: Using ``torch.no_grad`` inside a function: 2025-08-26T19:58:22.7466599Z 2025-08-26T19:58:22.7466782Z >>> # xdoctest: +SKIP 2025-08-26T19:58:22.7467085Z >>> def f(x): 2025-08-26T19:58:22.7467369Z >>> with torch.no_grad(): 2025-08-26T19:58:22.7467684Z >>> c = x ** 2 2025-08-26T19:58:22.7468069Z >>> return x - c 2025-08-26T19:58:22.7468278Z 2025-08-26T19:58:22.7468480Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-08-26T19:58:22.7468796Z 2025-08-26T19:58:22.7468997Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-08-26T19:58:22.7469299Z 2025-08-26T19:58:22.7469417Z >>> # xdoctest: +SKIP 2025-08-26T19:58:22.7469712Z >>> with torch.no_grad(): 2025-08-26T19:58:22.7470021Z >>> grad(f)(x) 2025-08-26T19:58:22.7470212Z 2025-08-26T19:58:22.7470436Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-08-26T19:58:22.7471011Z outer one. This is because ``grad`` is a "function transform": its result 2025-08-26T19:58:22.7471576Z should not depend on the result of a context manager outside of ``f``. 2025-08-26T19:58:22.7471915Z 2025-08-26T19:58:22.7471995Z 2025-08-26T19:58:22.7472367Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:22.7472754Z 2025-08-26T19:58:24.4440576Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py line=397. 2025-08-26T19:58:24.4441581Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:24.4442123Z Register a FakeTensor implementation for this custom op. 2025-08-26T19:58:24.4442428Z 2025-08-26T19:58:24.4442675Z This is necessary to get the operator to work efficiently with torch.compile. 2025-08-26T19:58:24.4443058Z 2025-08-26T19:58:24.4443280Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-08-26T19:58:24.4443898Z specifies the behavior of this operator on Tensors that carry no data. 2025-08-26T19:58:24.4444407Z Given some input Tensors with certain properties 2025-08-26T19:58:24.4444923Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-08-26T19:58:24.4445691Z the output Tensors are. 2025-08-26T19:58:24.4445900Z 2025-08-26T19:58:24.4446121Z Please see :func:`torch.library.register_fake` for more details. 2025-08-26T19:58:24.4446440Z 2025-08-26T19:58:24.4446541Z Args: 2025-08-26T19:58:24.4446839Z fn (Callable): The function to register as the FakeTensor 2025-08-26T19:58:24.4447238Z implementation. 2025-08-26T19:58:24.4447442Z 2025-08-26T19:58:24.4447530Z Examples: 2025-08-26T19:58:24.4447777Z >>> import torch 2025-08-26T19:58:24.4448063Z >>> import numpy as np 2025-08-26T19:58:24.4448364Z >>> from torch import Tensor 2025-08-26T19:58:24.4448672Z >>> 2025-08-26T19:58:24.4449006Z >>> # Example 1: an operator without data-dependent output shape 2025-08-26T19:58:24.4449545Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-08-26T19:58:24.4450045Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-26T19:58:24.4450592Z >>> return (x @ weight.t()) + bias 2025-08-26T19:58:24.4450924Z >>> 2025-08-26T19:58:24.4451208Z >>> @linear.register_fake 2025-08-26T19:58:24.4451535Z >>> def _(x, weight, bias): 2025-08-26T19:58:24.4451846Z >>> assert x.dim() == 2 2025-08-26T19:58:24.4452176Z >>> assert weight.dim() == 2 2025-08-26T19:58:24.4452512Z >>> assert bias.dim() == 1 2025-08-26T19:58:24.4452866Z >>> assert x.shape[1] == weight.shape[1] 2025-08-26T19:58:24.4453237Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-26T19:58:24.4453623Z >>> assert x.device == weight.device 2025-08-26T19:58:24.4454012Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-08-26T19:58:24.4454364Z >>> 2025-08-26T19:58:24.4454807Z >>> x = torch.randn(2, 2) 2025-08-26T19:58:24.4455153Z >>> weight = torch.randn(2, 2) 2025-08-26T19:58:24.4455491Z >>> bias = torch.randn(2) 2025-08-26T19:58:24.4455848Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T19:58:24.4456287Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-08-26T19:58:24.4456739Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T19:58:24.4457239Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-08-26T19:58:24.4457698Z >>> 2025-08-26T19:58:24.4458003Z >>> # Example 2: an operator with data-dependent output shape 2025-08-26T19:58:24.4458501Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-08-26T19:58:24.4458937Z >>> def nonzero(x: Tensor) -> Tensor: 2025-08-26T19:58:24.4459282Z >>> x_np = x.cpu().numpy() 2025-08-26T19:58:24.4459638Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-26T19:58:24.4460018Z >>> return torch.tensor(res, device=x.device) 2025-08-26T19:58:24.4460369Z >>> 2025-08-26T19:58:24.4460623Z >>> @nonzero.register_fake 2025-08-26T19:58:24.4460935Z >>> def _(x): 2025-08-26T19:58:24.4461244Z >>> # Number of nonzero-elements is data-dependent. 2025-08-26T19:58:24.4461686Z >>> # Since we cannot peek at the data in an abstract impl, 2025-08-26T19:58:24.4462135Z >>> # we use the ctx object to construct a new symint that 2025-08-26T19:58:24.4462553Z >>> # represents the data-dependent size. 2025-08-26T19:58:24.4462914Z >>> ctx = torch.library.get_ctx() 2025-08-26T19:58:24.4463277Z >>> nnz = ctx.new_dynamic_size() 2025-08-26T19:58:24.4463627Z >>> shape = [nnz, x.dim()] 2025-08-26T19:58:24.4464000Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-26T19:58:24.4464357Z >>> return result 2025-08-26T19:58:24.4464659Z >>> 2025-08-26T19:58:24.4465061Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-08-26T19:58:24.4465449Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T19:58:24.4465848Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-08-26T19:58:24.4466262Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T19:58:24.4466656Z >>> assert torch.allclose(out, x.nonzero()) 2025-08-26T19:58:24.4466897Z 2025-08-26T19:58:24.4467036Z 2025-08-26T19:58:24.4467705Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-08-26T19:58:24.4468351Z 2025-08-26T19:58:24.4468435Z _._ = None 2025-08-26T19:58:24.4468655Z ^ 2025-08-26T19:58:24.4563525Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_profile.py line=94. 2025-08-26T19:58:24.4564530Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.4564925Z 2025-08-26T19:58:24.4565317Z Registers a fake kernel based on the given operator profiles. This fake 2025-08-26T19:58:24.4565927Z kernel registration will override any existing fake kernel registrations. 2025-08-26T19:58:24.4566291Z 2025-08-26T19:58:24.4566505Z The input is a dictionary mapping operator names to a set of operator 2025-08-26T19:58:24.4567079Z profiles, which we will use to generate fake kernels. The operator profiles 2025-08-26T19:58:24.4567646Z are a record of the input and output tensor metadata. Based on this 2025-08-26T19:58:24.4568214Z information we will match a given input to the recorded profile, and return 2025-08-26T19:58:24.4568796Z an output with the same metadata as in the recorded profile. If a profile 2025-08-26T19:58:24.4569287Z doesn't exist then an exception will be thrown. 2025-08-26T19:58:24.4569553Z 2025-08-26T19:58:24.4569781Z The fake kernel generation is considered unsafe because it relies on the 2025-08-26T19:58:24.4570377Z rigid, pre-defined operator profiles that do not account for potential 2025-08-26T19:58:24.4570975Z variations in output behavior. Specifically, the generated kernels assume a 2025-08-26T19:58:24.4571587Z fixed relationship between input and output ranks. However, in reality, it's 2025-08-26T19:58:24.4572202Z possible that data-dependent operations may produce outputs of different 2025-08-26T19:58:24.4572786Z ranks even when given inputs of the same rank. The generated fake kernels 2025-08-26T19:58:24.4573350Z are inflexible and unable to accommodate these nuances, making them 2025-08-26T19:58:24.4573770Z potentially unsafe. 2025-08-26T19:58:24.4573933Z 2025-08-26T19:58:24.4574016Z Args: 2025-08-26T19:58:24.4574357Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-08-26T19:58:24.4574900Z name to a set of operator profiles from which we will generate fake 2025-08-26T19:58:24.4575312Z kernels. 2025-08-26T19:58:24.4575449Z 2025-08-26T19:58:24.4575539Z Examples: 2025-08-26T19:58:24.4575676Z 2025-08-26T19:58:24.4575852Z >>> # Example: Registering an op-profile from draft-export 2025-08-26T19:58:24.4576239Z >>> import torch 2025-08-26T19:58:24.4576564Z >>> from torch.export._draft_export import draft_export 2025-08-26T19:58:24.4576922Z >>> 2025-08-26T19:58:24.4577248Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-08-26T19:58:24.4577680Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-08-26T19:58:24.4578016Z >>> return x + y 2025-08-26T19:58:24.4578258Z >>> 2025-08-26T19:58:24.4578499Z >>> class M(torch.nn.Module): 2025-08-26T19:58:24.4578812Z >>> def forward(self, a, b): 2025-08-26T19:58:24.4579169Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-08-26T19:58:24.4579517Z >>> return res 2025-08-26T19:58:24.4579803Z >>> 2025-08-26T19:58:24.4580101Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-08-26T19:58:24.4580605Z >>> 2025-08-26T19:58:24.4581018Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-08-26T19:58:24.4581571Z >>> decomp = ep.run_decompositions() 2025-08-26T19:58:24.4581834Z 2025-08-26T19:58:24.4581840Z 2025-08-26T19:58:24.4582176Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.4582562Z 2025-08-26T19:58:24.4622214Z msg = Cannot scrape callname=triton_op in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=96. 2025-08-26T19:58:24.4623094Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.4623737Z Create a custom operator whose implementation is backed by 1+ triton kernels. 2025-08-26T19:58:24.4624107Z 2025-08-26T19:58:24.4624313Z This is a more structured way of using triton kernels with PyTorch. 2025-08-26T19:58:24.4624899Z Prefer using triton kernels with no ``torch.library`` custom operator wrappers 2025-08-26T19:58:24.4625636Z (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because 2025-08-26T19:58:24.4626120Z that is simpler; 2025-08-26T19:58:24.4626537Z only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you 2025-08-26T19:58:24.4627138Z want to create an operator that behaves like PyTorch built-in operators. 2025-08-26T19:58:24.4627705Z For example, you may use a ``torch.library`` wrapper API to define the 2025-08-26T19:58:24.4628257Z behavior of the triton kernel when passed a tensor subclass or under 2025-08-26T19:58:24.4628704Z a TorchDispatchMode. 2025-08-26T19:58:24.4628928Z 2025-08-26T19:58:24.4629325Z Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op` 2025-08-26T19:58:24.4629922Z when the implementation 2025-08-26T19:58:24.4630498Z consists of 1+ triton kernels. :func:`torch.library.custom_op` treats 2025-08-26T19:58:24.4631010Z custom operators as opaque (:func:`torch.compile` and 2025-08-26T19:58:24.4631539Z :func:`torch.export.export` will never trace into them), but ``triton_op`` 2025-08-26T19:58:24.4632107Z makes the implementation visible to these subsystems, allowing them 2025-08-26T19:58:24.4632565Z to optimize the triton kernel(s). 2025-08-26T19:58:24.4632778Z 2025-08-26T19:58:24.4632979Z Note that ``fn`` must only consist of calls to PyTorch-understood 2025-08-26T19:58:24.4633575Z operators and triton kernels. Any triton kernels called inside ``fn`` 2025-08-26T19:58:24.4634106Z must be wrapped in a call to :func:`torch.library.wrap_triton`. 2025-08-26T19:58:24.4634426Z 2025-08-26T19:58:24.4634511Z Args: 2025-08-26T19:58:24.4634881Z name (str): A name for the custom op that looks like "{namespace}::{name}", 2025-08-26T19:58:24.4635629Z e.g. "mylib::my_linear". The name is used as the op's stable identifier 2025-08-26T19:58:24.4636371Z in PyTorch subsystems (e.g. torch.export, FX graphs). 2025-08-26T19:58:24.4637167Z To avoid name collisions, please use your project name as the namespace; 2025-08-26T19:58:24.4638039Z e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace. 2025-08-26T19:58:24.4639008Z mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates. 2025-08-26T19:58:24.4640050Z This MUST be accurate, otherwise, the behavior is undefined. If "unknown", 2025-08-26T19:58:24.4641121Z it pessimistically assumes that all inputs to the operator are being mutated. 2025-08-26T19:58:24.4642125Z schema (None | str): A schema string for the operator. If None 2025-08-26T19:58:24.4642991Z (recommended) we'll infer a schema for the operator from its type 2025-08-26T19:58:24.4643890Z annotations. We recommend letting us infer a schema unless you 2025-08-26T19:58:24.4644642Z have a specific reason not to. 2025-08-26T19:58:24.4645277Z Example: "(Tensor x, int y) -> (Tensor, Tensor)". 2025-08-26T19:58:24.4645903Z 2025-08-26T19:58:24.4646104Z Example:: 2025-08-26T19:58:24.4646337Z 2025-08-26T19:58:24.4646572Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T19:58:24.4647174Z >>> import torch 2025-08-26T19:58:24.4647674Z >>> from torch.library import triton_op, wrap_triton 2025-08-26T19:58:24.4648297Z >>> 2025-08-26T19:58:24.4648677Z >>> import triton 2025-08-26T19:58:24.4649166Z >>> from triton import language as tl 2025-08-26T19:58:24.4649723Z >>> 2025-08-26T19:58:24.4650102Z >>> @triton.jit 2025-08-26T19:58:24.4650507Z >>> def add_kernel( 2025-08-26T19:58:24.4650951Z >>> in_ptr0, 2025-08-26T19:58:24.4651407Z >>> in_ptr1, 2025-08-26T19:58:24.4651854Z >>> out_ptr, 2025-08-26T19:58:24.4652253Z >>> n_elements, 2025-08-26T19:58:24.4652745Z >>> BLOCK_SIZE: "tl.constexpr", 2025-08-26T19:58:24.4653315Z >>> ): 2025-08-26T19:58:24.4653705Z >>> pid = tl.program_id(axis=0) 2025-08-26T19:58:24.4654418Z >>> block_start = pid * BLOCK_SIZE 2025-08-26T19:58:24.4655218Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2025-08-26T19:58:24.4655859Z >>> mask = offsets < n_elements 2025-08-26T19:58:24.4656420Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2025-08-26T19:58:24.4656889Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2025-08-26T19:58:24.4657243Z >>> output = x + y 2025-08-26T19:58:24.4657579Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2025-08-26T19:58:24.4657929Z >>> 2025-08-26T19:58:24.4658217Z >>> @triton_op("mylib::add", mutates_args={}) 2025-08-26T19:58:24.4658683Z >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor: 2025-08-26T19:58:24.4659111Z >>> output = torch.empty_like(x) 2025-08-26T19:58:24.4659462Z >>> n_elements = output.numel() 2025-08-26T19:58:24.4659767Z >>> 2025-08-26T19:58:24.4659989Z >>> def grid(meta): 2025-08-26T19:58:24.4660358Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2025-08-26T19:58:24.4660739Z >>> 2025-08-26T19:58:24.4661038Z >>> # NB: we need to wrap the triton kernel in a call to wrap_triton 2025-08-26T19:58:24.4661531Z >>> wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16) 2025-08-26T19:58:24.4661943Z >>> return output 2025-08-26T19:58:24.4662218Z >>> 2025-08-26T19:58:24.4662429Z >>> @torch.compile 2025-08-26T19:58:24.4662700Z >>> def f(x, y): 2025-08-26T19:58:24.4662970Z >>> return add(x, y) 2025-08-26T19:58:24.4663254Z >>> 2025-08-26T19:58:24.4663483Z >>> x = torch.randn(3, device="cuda") 2025-08-26T19:58:24.4663832Z >>> y = torch.randn(3, device="cuda") 2025-08-26T19:58:24.4664144Z >>> 2025-08-26T19:58:24.4664359Z >>> z = f(x, y) 2025-08-26T19:58:24.4664625Z >>> assert torch.allclose(z, x + y) 2025-08-26T19:58:24.4664862Z 2025-08-26T19:58:24.4664947Z 2025-08-26T19:58:24.4665324Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.4665694Z 2025-08-26T19:58:24.4666219Z msg = Cannot scrape callname=wrap_triton in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=296. 2025-08-26T19:58:24.4667104Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.4667667Z Allows capture of a triton kernel into a graph via make_fx or 2025-08-26T19:58:24.4668092Z non-strict ``torch.export``. 2025-08-26T19:58:24.4668304Z 2025-08-26T19:58:24.4668487Z These technologies perform Dispatcher-based tracing (via 2025-08-26T19:58:24.4668991Z ``__torch_dispatch__``) and cannot see calls to raw triton kernels. 2025-08-26T19:58:24.4669497Z The ``wrap_triton`` API wraps a triton kernel into a callable that 2025-08-26T19:58:24.4670084Z can actually be traced into a graph. 2025-08-26T19:58:24.4670323Z 2025-08-26T19:58:24.4670541Z Please use this API together with :func:`torch.library.triton_op`. 2025-08-26T19:58:24.4670865Z 2025-08-26T19:58:24.4670967Z Examples: 2025-08-26T19:58:24.4671100Z 2025-08-26T19:58:24.4671213Z >>> # xdoctest: +SKIP 2025-08-26T19:58:24.4671488Z >>> import torch 2025-08-26T19:58:24.4671758Z >>> import triton 2025-08-26T19:58:24.4672048Z >>> from triton import language as tl 2025-08-26T19:58:24.4672465Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-08-26T19:58:24.4672876Z >>> from torch.library import wrap_triton 2025-08-26T19:58:24.4673293Z >>> 2025-08-26T19:58:24.4673517Z >>> @triton.jit 2025-08-26T19:58:24.4673775Z >>> def add_kernel( 2025-08-26T19:58:24.4674030Z >>> in_ptr0, 2025-08-26T19:58:24.4674286Z >>> in_ptr1, 2025-08-26T19:58:24.4674543Z >>> out_ptr, 2025-08-26T19:58:24.4674805Z >>> n_elements, 2025-08-26T19:58:24.4675189Z >>> BLOCK_SIZE: "tl.constexpr", 2025-08-26T19:58:24.4675507Z >>> ): 2025-08-26T19:58:24.4675759Z >>> pid = tl.program_id(axis=0) 2025-08-26T19:58:24.4676102Z >>> block_start = pid * BLOCK_SIZE 2025-08-26T19:58:24.4676466Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2025-08-26T19:58:24.4676845Z >>> mask = offsets < n_elements 2025-08-26T19:58:24.4677199Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2025-08-26T19:58:24.4677573Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2025-08-26T19:58:24.4677904Z >>> output = x + y 2025-08-26T19:58:24.4678238Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2025-08-26T19:58:24.4678585Z >>> 2025-08-26T19:58:24.4678811Z >>> def add(x, y): 2025-08-26T19:58:24.4679088Z >>> output = torch.empty_like(x) 2025-08-26T19:58:24.4679432Z >>> n_elements = output.numel() 2025-08-26T19:58:24.4679749Z >>> 2025-08-26T19:58:24.4679987Z >>> def grid_fn(meta): 2025-08-26T19:58:24.4680349Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2025-08-26T19:58:24.4680737Z >>> 2025-08-26T19:58:24.4681065Z >>> wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16) 2025-08-26T19:58:24.4681483Z >>> return output 2025-08-26T19:58:24.4681739Z >>> 2025-08-26T19:58:24.4681982Z >>> x = torch.randn(3, device="cuda") 2025-08-26T19:58:24.4682326Z >>> y = torch.randn(3, device="cuda") 2025-08-26T19:58:24.4682659Z >>> gm = make_fx(add)(x, y) 2025-08-26T19:58:24.4682949Z >>> print(gm.code) 2025-08-26T19:58:24.4683252Z >>> # def forward(self, x_1, y_1): 2025-08-26T19:58:24.4683713Z >>> # empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False) 2025-08-26T19:58:24.4684326Z >>> # triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation( 2025-08-26T19:58:24.4684837Z >>> # kernel_idx = 0, constant_args_idx = 0, 2025-08-26T19:58:24.4685193Z >>> # grid = [(1, 1, 1)], kwargs = { 2025-08-26T19:58:24.4685584Z >>> # 'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like, 2025-08-26T19:58:24.4685995Z >>> # 'n_elements': 3, 'BLOCK_SIZE': 16 2025-08-26T19:58:24.4686336Z >>> # }) 2025-08-26T19:58:24.4686594Z >>> # return empty_like 2025-08-26T19:58:24.4686809Z 2025-08-26T19:58:24.4686894Z 2025-08-26T19:58:24.4687271Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.4687642Z 2025-08-26T19:58:24.5378636Z msg = Cannot scrape callname=print_assert_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=286. 2025-08-26T19:58:24.5379615Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.5380224Z 2025-08-26T19:58:24.5380469Z Test if two objects are equal, and print an error message if test fails. 2025-08-26T19:58:24.5380963Z 2025-08-26T19:58:24.5381111Z The test is performed with ``actual == desired``. 2025-08-26T19:58:24.5381400Z 2025-08-26T19:58:24.5381509Z Parameters 2025-08-26T19:58:24.5381735Z ---------- 2025-08-26T19:58:24.5381976Z test_string : str 2025-08-26T19:58:24.5382275Z The message supplied to AssertionError. 2025-08-26T19:58:24.5382748Z actual : object 2025-08-26T19:58:24.5383299Z The object to test for equality against `desired`. 2025-08-26T19:58:24.5383749Z desired : object 2025-08-26T19:58:24.5383980Z The expected result. 2025-08-26T19:58:24.5384161Z 2025-08-26T19:58:24.5384246Z Examples 2025-08-26T19:58:24.5384490Z -------- 2025-08-26T19:58:24.5384850Z >>> np.testing.print_assert_equal( 2025-08-26T19:58:24.5385173Z ... "Test XYZ of func xyz", [0, 1], [0, 1] 2025-08-26T19:58:24.5385501Z ... ) # doctest: +SKIP 2025-08-26T19:58:24.5385888Z >>> np.testing.print_assert_equal( 2025-08-26T19:58:24.5386685Z ... "Test XYZ of func xyz", [0, 1], [0, 2] 2025-08-26T19:58:24.5387003Z ... ) # doctest: +SKIP 2025-08-26T19:58:24.5387283Z Traceback (most recent call last): 2025-08-26T19:58:24.5387578Z ... 2025-08-26T19:58:24.5387826Z AssertionError: Test XYZ of func xyz failed 2025-08-26T19:58:24.5388144Z ACTUAL: 2025-08-26T19:58:24.5388352Z [0, 1] 2025-08-26T19:58:24.5388562Z DESIRED: 2025-08-26T19:58:24.5388770Z [0, 2] 2025-08-26T19:58:24.5388879Z 2025-08-26T19:58:24.5388883Z 2025-08-26T19:58:24.5389141Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.5389730Z 2025-08-26T19:58:24.5390502Z msg = Cannot scrape callname=assert_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=331. 2025-08-26T19:58:24.5391687Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.5392133Z 2025-08-26T19:58:24.5392366Z Raises an AssertionError if two items are not equal up to desired 2025-08-26T19:58:24.5392833Z precision. 2025-08-26T19:58:24.5392974Z 2025-08-26T19:58:24.5393234Z .. note:: It is recommended to use one of `assert_allclose`, 2025-08-26T19:58:24.5393769Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-08-26T19:58:24.5394464Z instead of this function for more consistent floating point 2025-08-26T19:58:24.5394916Z comparisons. 2025-08-26T19:58:24.5395092Z 2025-08-26T19:58:24.5395394Z The test verifies that the elements of `actual` and `desired` satisfy. 2025-08-26T19:58:24.5395740Z 2025-08-26T19:58:24.5395941Z ``abs(desired-actual) < float64(1.5 * 10**(-decimal))`` 2025-08-26T19:58:24.5396215Z 2025-08-26T19:58:24.5396457Z That is a looser test than originally documented, but agrees with what the 2025-08-26T19:58:24.5397108Z actual implementation in `assert_array_almost_equal` did up to rounding 2025-08-26T19:58:24.5397747Z vagaries. An exception is raised at conflicting values. For ndarrays this 2025-08-26T19:58:24.5398294Z delegates to assert_array_almost_equal 2025-08-26T19:58:24.5398527Z 2025-08-26T19:58:24.5398616Z Parameters 2025-08-26T19:58:24.5398835Z ---------- 2025-08-26T19:58:24.5399098Z actual : array_like 2025-08-26T19:58:24.5399348Z The object to check. 2025-08-26T19:58:24.5399620Z desired : array_like 2025-08-26T19:58:24.5399931Z The expected object. 2025-08-26T19:58:24.5400190Z decimal : int, optional 2025-08-26T19:58:24.5400521Z Desired precision, default is 7. 2025-08-26T19:58:24.5400838Z err_msg : str, optional 2025-08-26T19:58:24.5401159Z The error message to be printed in case of failure. 2025-08-26T19:58:24.5401561Z verbose : bool, optional 2025-08-26T19:58:24.5401964Z If True, the conflicting values are appended to the error message. 2025-08-26T19:58:24.5402325Z 2025-08-26T19:58:24.5402406Z Raises 2025-08-26T19:58:24.5402609Z ------ 2025-08-26T19:58:24.5402860Z AssertionError 2025-08-26T19:58:24.5403196Z If actual and desired are not equal up to specified precision. 2025-08-26T19:58:24.5403738Z 2025-08-26T19:58:24.5403831Z See Also 2025-08-26T19:58:24.5404047Z -------- 2025-08-26T19:58:24.5404455Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-26T19:58:24.5404953Z relative and/or absolute precision. 2025-08-26T19:58:24.5405471Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-26T19:58:24.5405838Z 2025-08-26T19:58:24.5405947Z Examples 2025-08-26T19:58:24.5406143Z -------- 2025-08-26T19:58:24.5406434Z >>> from torch._numpy.testing import assert_almost_equal 2025-08-26T19:58:24.5406911Z >>> assert_almost_equal(2.3333333333333, 2.33333334) 2025-08-26T19:58:24.5407385Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10) 2025-08-26T19:58:24.5407803Z Traceback (most recent call last): 2025-08-26T19:58:24.5408144Z ... 2025-08-26T19:58:24.5408368Z AssertionError: 2025-08-26T19:58:24.5408638Z Arrays are not almost equal to 10 decimals 2025-08-26T19:58:24.5409011Z ACTUAL: 2.3333333333333 2025-08-26T19:58:24.5418024Z DESIRED: 2.33333334 2025-08-26T19:58:24.5418216Z 2025-08-26T19:58:24.5418335Z >>> assert_almost_equal( 2025-08-26T19:58:24.5418713Z ... np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9 2025-08-26T19:58:24.5419133Z ... ) 2025-08-26T19:58:24.5419374Z Traceback (most recent call last): 2025-08-26T19:58:24.5419741Z ... 2025-08-26T19:58:24.5419947Z AssertionError: 2025-08-26T19:58:24.5420217Z Arrays are not almost equal to 9 decimals 2025-08-26T19:58:24.5420544Z 2025-08-26T19:58:24.5420790Z Mismatched elements: 1 / 2 (50%) 2025-08-26T19:58:24.5421107Z Max absolute difference: 6.666699636781459e-09 2025-08-26T19:58:24.5421483Z Max relative difference: 2.8571569790287484e-09 2025-08-26T19:58:24.5421865Z x: torch.ndarray([1.0000, 2.3333], dtype=float64) 2025-08-26T19:58:24.5422254Z y: torch.ndarray([1.0000, 2.3333], dtype=float64) 2025-08-26T19:58:24.5422499Z 2025-08-26T19:58:24.5422509Z 2025-08-26T19:58:24.5422779Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.5423148Z 2025-08-26T19:58:24.5423776Z msg = Cannot scrape callname=assert_approx_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=457. 2025-08-26T19:58:24.5424724Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.5425114Z 2025-08-26T19:58:24.5425336Z Raises an AssertionError if two items are not equal up to significant 2025-08-26T19:58:24.5425763Z digits. 2025-08-26T19:58:24.5425878Z 2025-08-26T19:58:24.5426075Z .. note:: It is recommended to use one of `assert_allclose`, 2025-08-26T19:58:24.5426531Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-08-26T19:58:24.5427023Z instead of this function for more consistent floating point 2025-08-26T19:58:24.5427429Z comparisons. 2025-08-26T19:58:24.5427585Z 2025-08-26T19:58:24.5427782Z Given two numbers, check that they are approximately equal. 2025-08-26T19:58:24.5428302Z Approximately equal is defined as the number of significant digits 2025-08-26T19:58:24.5428733Z that agree. 2025-08-26T19:58:24.5428874Z 2025-08-26T19:58:24.5428964Z Parameters 2025-08-26T19:58:24.5429182Z ---------- 2025-08-26T19:58:24.5429389Z actual : scalar 2025-08-26T19:58:24.5429630Z The object to check. 2025-08-26T19:58:24.5429900Z desired : scalar 2025-08-26T19:58:24.5430158Z The expected object. 2025-08-26T19:58:24.5430473Z significant : int, optional 2025-08-26T19:58:24.5430777Z Desired precision, default is 7. 2025-08-26T19:58:24.5431094Z err_msg : str, optional 2025-08-26T19:58:24.5431417Z The error message to be printed in case of failure. 2025-08-26T19:58:24.5431773Z verbose : bool, optional 2025-08-26T19:58:24.5432151Z If True, the conflicting values are appended to the error message. 2025-08-26T19:58:24.5432487Z 2025-08-26T19:58:24.5432567Z Raises 2025-08-26T19:58:24.5432775Z ------ 2025-08-26T19:58:24.5433140Z AssertionError 2025-08-26T19:58:24.5433492Z If actual and desired are not equal up to specified precision. 2025-08-26T19:58:24.5433818Z 2025-08-26T19:58:24.5433904Z See Also 2025-08-26T19:58:24.5434119Z -------- 2025-08-26T19:58:24.5434469Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-26T19:58:24.5434963Z relative and/or absolute precision. 2025-08-26T19:58:24.5435418Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-26T19:58:24.5435744Z 2025-08-26T19:58:24.5435842Z Examples 2025-08-26T19:58:24.5436049Z -------- 2025-08-26T19:58:24.5436270Z >>> np.testing.assert_approx_equal( 2025-08-26T19:58:24.5436595Z ... 0.12345677777777e-20, 0.1234567e-20 2025-08-26T19:58:24.5436908Z ... ) # doctest: +SKIP 2025-08-26T19:58:24.5437186Z >>> np.testing.assert_approx_equal( 2025-08-26T19:58:24.5437474Z ... 0.12345670e-20, 2025-08-26T19:58:24.5437740Z ... 0.12345671e-20, # doctest: +SKIP 2025-08-26T19:58:24.5438059Z ... significant=8, 2025-08-26T19:58:24.5438308Z ... ) 2025-08-26T19:58:24.5438601Z >>> np.testing.assert_approx_equal( 2025-08-26T19:58:24.5438906Z ... 0.12345670e-20, 2025-08-26T19:58:24.5439169Z ... 0.12345672e-20, # doctest: +SKIP 2025-08-26T19:58:24.5439481Z ... significant=8, 2025-08-26T19:58:24.5439712Z ... ) 2025-08-26T19:58:24.5439944Z Traceback (most recent call last): 2025-08-26T19:58:24.5440243Z ... 2025-08-26T19:58:24.5440443Z AssertionError: 2025-08-26T19:58:24.5440722Z Items are not equal to 8 significant digits: 2025-08-26T19:58:24.5441057Z ACTUAL: 1.234567e-21 2025-08-26T19:58:24.5441308Z DESIRED: 1.2345672e-21 2025-08-26T19:58:24.5441465Z 2025-08-26T19:58:24.5441641Z the evaluated condition that raises the exception is 2025-08-26T19:58:24.5441911Z 2025-08-26T19:58:24.5442103Z >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1) 2025-08-26T19:58:24.5442499Z True 2025-08-26T19:58:24.5442610Z 2025-08-26T19:58:24.5442628Z 2025-08-26T19:58:24.5442890Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.5443260Z 2025-08-26T19:58:24.5443957Z msg = Cannot scrape callname=assert_array_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=744. 2025-08-26T19:58:24.5445095Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.5445548Z 2025-08-26T19:58:24.5445799Z Raises an AssertionError if two array_like objects are not equal. 2025-08-26T19:58:24.5446121Z 2025-08-26T19:58:24.5446338Z Given two array_like objects, check that the shape is equal and all 2025-08-26T19:58:24.5446883Z elements of these objects are equal (but see the Notes for the special 2025-08-26T19:58:24.5447414Z handling of a scalar). An exception is raised at shape mismatch or 2025-08-26T19:58:24.5447963Z conflicting values. In contrast to the standard usage in numpy, NaNs 2025-08-26T19:58:24.5448527Z are compared like numbers, no assertion is raised if both objects have 2025-08-26T19:58:24.5448982Z NaNs in the same positions. 2025-08-26T19:58:24.5449167Z 2025-08-26T19:58:24.5449392Z The usual caution for verifying equality with floating point numbers is 2025-08-26T19:58:24.5449831Z advised. 2025-08-26T19:58:24.5449964Z 2025-08-26T19:58:24.5450054Z Parameters 2025-08-26T19:58:24.5450272Z ---------- 2025-08-26T19:58:24.5450476Z x : array_like 2025-08-26T19:58:24.5450722Z The actual object to check. 2025-08-26T19:58:24.5451009Z y : array_like 2025-08-26T19:58:24.5451262Z The desired, expected object. 2025-08-26T19:58:24.5451552Z err_msg : str, optional 2025-08-26T19:58:24.5451876Z The error message to be printed in case of failure. 2025-08-26T19:58:24.5452247Z verbose : bool, optional 2025-08-26T19:58:24.5452631Z If True, the conflicting values are appended to the error message. 2025-08-26T19:58:24.5453042Z strict : bool, optional 2025-08-26T19:58:24.5453412Z If True, raise an AssertionError when either the shape or the data 2025-08-26T19:58:24.5454015Z type of the array_like objects does not match. The special 2025-08-26T19:58:24.5454520Z handling for scalars mentioned in the Notes section is disabled. 2025-08-26T19:58:24.5455021Z 2025-08-26T19:58:24.5455119Z Raises 2025-08-26T19:58:24.5455315Z ------ 2025-08-26T19:58:24.5455530Z AssertionError 2025-08-26T19:58:24.5455811Z If actual and desired objects are not equal. 2025-08-26T19:58:24.5456052Z 2025-08-26T19:58:24.5456152Z See Also 2025-08-26T19:58:24.5456354Z -------- 2025-08-26T19:58:24.5456722Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-26T19:58:24.5457217Z relative and/or absolute precision. 2025-08-26T19:58:24.5457676Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-26T19:58:24.5457995Z 2025-08-26T19:58:24.5458076Z Notes 2025-08-26T19:58:24.5458277Z ----- 2025-08-26T19:58:24.5458584Z When one of `x` and `y` is a scalar and the other is array_like, the 2025-08-26T19:58:24.5459121Z function checks that each element of the array_like object is equal to 2025-08-26T19:58:24.5459805Z the scalar. This behaviour can be disabled with the `strict` parameter. 2025-08-26T19:58:24.5460162Z 2025-08-26T19:58:24.5460249Z Examples 2025-08-26T19:58:24.5460460Z -------- 2025-08-26T19:58:24.5460719Z The first assert does not raise an exception: 2025-08-26T19:58:24.5460958Z 2025-08-26T19:58:24.5461072Z >>> np.testing.assert_array_equal( 2025-08-26T19:58:24.5461431Z ... [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan] 2025-08-26T19:58:24.5461777Z ... ) 2025-08-26T19:58:24.5461891Z 2025-08-26T19:58:24.5462135Z Use `assert_allclose` or one of the nulp (number of floating point values) 2025-08-26T19:58:24.5462604Z functions for these cases instead: 2025-08-26T19:58:24.5462811Z 2025-08-26T19:58:24.5462921Z >>> np.testing.assert_allclose( 2025-08-26T19:58:24.5463327Z ... [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0 2025-08-26T19:58:24.5463727Z ... ) 2025-08-26T19:58:24.5463844Z 2025-08-26T19:58:24.5464066Z As mentioned in the Notes section, `assert_array_equal` has special 2025-08-26T19:58:24.5464603Z handling for scalars. Here the test checks that each value in `x` is 3: 2025-08-26T19:58:24.5464959Z 2025-08-26T19:58:24.5465064Z >>> x = np.full((2, 5), fill_value=3) 2025-08-26T19:58:24.5465392Z >>> np.testing.assert_array_equal(x, 3) 2025-08-26T19:58:24.5465612Z 2025-08-26T19:58:24.5465836Z Use `strict` to raise an AssertionError when comparing a scalar with an 2025-08-26T19:58:24.5466258Z array: 2025-08-26T19:58:24.5466371Z 2025-08-26T19:58:24.5466524Z >>> np.testing.assert_array_equal(x, 3, strict=True) 2025-08-26T19:58:24.5466907Z Traceback (most recent call last): 2025-08-26T19:58:24.5467205Z ... 2025-08-26T19:58:24.5467423Z AssertionError: 2025-08-26T19:58:24.5467653Z Arrays are not equal 2025-08-26T19:58:24.5467902Z 2025-08-26T19:58:24.5468130Z (shapes (2, 5), () mismatch) 2025-08-26T19:58:24.5468419Z x: torch.ndarray([[3, 3, 3, 3, 3], 2025-08-26T19:58:24.5468707Z [3, 3, 3, 3, 3]]) 2025-08-26T19:58:24.5468973Z y: torch.ndarray(3) 2025-08-26T19:58:24.5469123Z 2025-08-26T19:58:24.5469347Z The `strict` parameter also ensures that the array data types match: 2025-08-26T19:58:24.5469674Z 2025-08-26T19:58:24.5469815Z >>> x = np.array([2, 2, 2]) 2025-08-26T19:58:24.5470158Z >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32) 2025-08-26T19:58:24.5470553Z >>> np.testing.assert_array_equal(x, y, strict=True) 2025-08-26T19:58:24.5470934Z Traceback (most recent call last): 2025-08-26T19:58:24.5471236Z ... 2025-08-26T19:58:24.5471435Z AssertionError: 2025-08-26T19:58:24.5471677Z Arrays are not equal 2025-08-26T19:58:24.5471926Z 2025-08-26T19:58:24.5472201Z (dtypes dtype("int64"), dtype("float32") mismatch) 2025-08-26T19:58:24.5472552Z x: torch.ndarray([2, 2, 2]) 2025-08-26T19:58:24.5472844Z y: torch.ndarray([2., 2., 2.]) 2025-08-26T19:58:24.5473087Z 2025-08-26T19:58:24.5473355Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.5473841Z 2025-08-26T19:58:24.5474449Z msg = Cannot scrape callname=assert_array_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=851. 2025-08-26T19:58:24.5475422Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.5475800Z 2025-08-26T19:58:24.5476013Z Raises an AssertionError if two objects are not equal up to desired 2025-08-26T19:58:24.5476437Z precision. 2025-08-26T19:58:24.5476578Z 2025-08-26T19:58:24.5476757Z .. note:: It is recommended to use one of `assert_allclose`, 2025-08-26T19:58:24.5477227Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-08-26T19:58:24.5477705Z instead of this function for more consistent floating point 2025-08-26T19:58:24.5478107Z comparisons. 2025-08-26T19:58:24.5478277Z 2025-08-26T19:58:24.5478517Z The test verifies identical shapes and that the elements of ``actual`` and 2025-08-26T19:58:24.5478980Z ``desired`` satisfy. 2025-08-26T19:58:24.5479133Z 2025-08-26T19:58:24.5479359Z ``abs(desired-actual) < 1.5 * 10**(-decimal)`` 2025-08-26T19:58:24.5479603Z 2025-08-26T19:58:24.5479829Z That is a looser test than originally documented, but agrees with what the 2025-08-26T19:58:24.5480430Z actual implementation did up to rounding vagaries. An exception is raised 2025-08-26T19:58:24.5481041Z at shape mismatch or conflicting values. In contrast to the standard usage 2025-08-26T19:58:24.5481621Z in numpy, NaNs are compared like numbers, no assertion is raised if both 2025-08-26T19:58:24.5482090Z objects have NaNs in the same positions. 2025-08-26T19:58:24.5482316Z 2025-08-26T19:58:24.5482407Z Parameters 2025-08-26T19:58:24.5482627Z ---------- 2025-08-26T19:58:24.5482844Z x : array_like 2025-08-26T19:58:24.5483088Z The actual object to check. 2025-08-26T19:58:24.5483359Z y : array_like 2025-08-26T19:58:24.5483606Z The desired, expected object. 2025-08-26T19:58:24.5483917Z decimal : int, optional 2025-08-26T19:58:24.5484200Z Desired precision, default is 6. 2025-08-26T19:58:24.5484518Z err_msg : str, optional 2025-08-26T19:58:24.5484838Z The error message to be printed in case of failure. 2025-08-26T19:58:24.5485212Z verbose : bool, optional 2025-08-26T19:58:24.5485578Z If True, the conflicting values are appended to the error message. 2025-08-26T19:58:24.5485912Z 2025-08-26T19:58:24.5485994Z Raises 2025-08-26T19:58:24.5486216Z ------ 2025-08-26T19:58:24.5486417Z AssertionError 2025-08-26T19:58:24.5486758Z If actual and desired are not equal up to specified precision. 2025-08-26T19:58:24.5487081Z 2025-08-26T19:58:24.5487168Z See Also 2025-08-26T19:58:24.5487379Z -------- 2025-08-26T19:58:24.5487728Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-26T19:58:24.5488226Z relative and/or absolute precision. 2025-08-26T19:58:24.5488682Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-26T19:58:24.5489010Z 2025-08-26T19:58:24.5489112Z Examples 2025-08-26T19:58:24.5489314Z -------- 2025-08-26T19:58:24.5489570Z the first assert does not raise an exception 2025-08-26T19:58:24.5489821Z 2025-08-26T19:58:24.5490072Z >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan]) 2025-08-26T19:58:24.5490442Z 2025-08-26T19:58:24.5490580Z >>> np.testing.assert_array_almost_equal( 2025-08-26T19:58:24.5490970Z ... [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5 2025-08-26T19:58:24.5491313Z ... ) 2025-08-26T19:58:24.5491545Z Traceback (most recent call last): 2025-08-26T19:58:24.5491841Z ... 2025-08-26T19:58:24.5492054Z AssertionError: 2025-08-26T19:58:24.5492315Z Arrays are not almost equal to 5 decimals 2025-08-26T19:58:24.5492812Z 2025-08-26T19:58:24.5493251Z Mismatched elements: 1 / 3 (33.3%) 2025-08-26T19:58:24.5493717Z Max absolute difference: 5.999999999994898e-05 2025-08-26T19:58:24.5494080Z Max relative difference: 2.5713661239633743e-05 2025-08-26T19:58:24.5494577Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2025-08-26T19:58:24.5495025Z y: torch.ndarray([1.0000, 2.3334, nan], dtype=float64) 2025-08-26T19:58:24.5495296Z 2025-08-26T19:58:24.5495432Z >>> np.testing.assert_array_almost_equal( 2025-08-26T19:58:24.5495787Z ... [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5 2025-08-26T19:58:24.5496129Z ... ) 2025-08-26T19:58:24.5496367Z Traceback (most recent call last): 2025-08-26T19:58:24.5496663Z ... 2025-08-26T19:58:24.5496867Z AssertionError: 2025-08-26T19:58:24.5497134Z Arrays are not almost equal to 5 decimals 2025-08-26T19:58:24.5497455Z 2025-08-26T19:58:24.5497692Z x and y nan location mismatch: 2025-08-26T19:58:24.5498034Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2025-08-26T19:58:24.5498472Z y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64) 2025-08-26T19:58:24.5498753Z 2025-08-26T19:58:24.5498757Z 2025-08-26T19:58:24.5499009Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.5499381Z 2025-08-26T19:58:24.5500068Z msg = Cannot scrape callname=clear_and_catch_warnings in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=1848. 2025-08-26T19:58:24.5501063Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.5501671Z Context manager that resets warning registry for catching warnings 2025-08-26T19:58:24.5501999Z 2025-08-26T19:58:24.5502243Z Warnings can be slippery, because, whenever a warning is triggered, Python 2025-08-26T19:58:24.5502842Z adds a ``__warningregistry__`` member to the *calling* module. This makes 2025-08-26T19:58:24.5503437Z it impossible to retrigger the warning in this module, whatever you put in 2025-08-26T19:58:24.5504041Z the warnings filters. This context manager accepts a sequence of `modules` 2025-08-26T19:58:24.5504550Z as a keyword argument to its constructor and: 2025-08-26T19:58:24.5504798Z 2025-08-26T19:58:24.5505028Z * stores and removes any ``__warningregistry__`` entries in given `modules` 2025-08-26T19:58:24.5505468Z on entry; 2025-08-26T19:58:24.5505799Z * resets ``__warningregistry__`` to its previous state on exit. 2025-08-26T19:58:24.5506098Z 2025-08-26T19:58:24.5506332Z This makes it possible to trigger any warning afresh inside the context 2025-08-26T19:58:24.5506846Z manager without disturbing the state of warnings outside. 2025-08-26T19:58:24.5507218Z 2025-08-26T19:58:24.5507452Z For compatibility with Python 3.0, please consider all arguments to be 2025-08-26T19:58:24.5507904Z keyword-only. 2025-08-26T19:58:24.5508047Z 2025-08-26T19:58:24.5508150Z Parameters 2025-08-26T19:58:24.5508379Z ---------- 2025-08-26T19:58:24.5508602Z record : bool, optional 2025-08-26T19:58:24.5508976Z Specifies whether warnings should be captured by a custom 2025-08-26T19:58:24.5509520Z implementation of ``warnings.showwarning()`` and be appended to a list 2025-08-26T19:58:24.5510097Z returned by the context manager. Otherwise None is returned by the 2025-08-26T19:58:24.5510640Z context manager. The objects appended to the list are arguments whose 2025-08-26T19:58:24.5511161Z attributes mirror the arguments to ``showwarning()``. 2025-08-26T19:58:24.5511561Z modules : sequence, optional 2025-08-26T19:58:24.5511983Z Sequence of modules for which to reset warnings registry on entry and 2025-08-26T19:58:24.5512508Z restore on exit. To work correctly, all 'ignore' filters should 2025-08-26T19:58:24.5512932Z filter by one of these modules. 2025-08-26T19:58:24.5513239Z 2025-08-26T19:58:24.5513325Z Examples 2025-08-26T19:58:24.5513547Z -------- 2025-08-26T19:58:24.5513760Z >>> import warnings 2025-08-26T19:58:24.5514114Z >>> with np.testing.clear_and_catch_warnings( # doctest: +SKIP 2025-08-26T19:58:24.5514536Z ... modules=[np.core.fromnumeric] 2025-08-26T19:58:24.5514852Z ... ): 2025-08-26T19:58:24.5515176Z ... warnings.simplefilter("always") 2025-08-26T19:58:24.5515627Z ... warnings.filterwarnings("ignore", module="np.core.fromnumeric") 2025-08-26T19:58:24.5516154Z ... # do something that raises a warning but ignore those in 2025-08-26T19:58:24.5516561Z ... # np.core.fromnumeric 2025-08-26T19:58:24.5516852Z 2025-08-26T19:58:24.5517209Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.5517593Z 2025-08-26T19:58:24.7255858Z msg = Cannot scrape callname=Conv1d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py line=354. 2025-08-26T19:58:24.7256824Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.7257431Z Applies a 1D convolution over a quantized input signal composed of 2025-08-26T19:58:24.7257884Z several quantized input planes. 2025-08-26T19:58:24.7258093Z 2025-08-26T19:58:24.7258305Z For details on input arguments, parameters, and implementation see 2025-08-26T19:58:24.7258976Z :class:`~torch.nn.Conv1d`. 2025-08-26T19:58:24.7259186Z 2025-08-26T19:58:24.7259290Z .. note:: 2025-08-26T19:58:24.7259632Z Only `zeros` is supported for the :attr:`padding_mode` argument. 2025-08-26T19:58:24.7259947Z 2025-08-26T19:58:24.7260052Z .. note:: 2025-08-26T19:58:24.7260361Z Only `torch.quint8` is supported for the input data type. 2025-08-26T19:58:24.7260667Z 2025-08-26T19:58:24.7260671Z 2025-08-26T19:58:24.7260760Z Attributes: 2025-08-26T19:58:24.7261126Z weight (Tensor): packed tensor derived from the learnable weight 2025-08-26T19:58:24.7261567Z parameter. 2025-08-26T19:58:24.7261912Z scale (Tensor): scalar for the output scale 2025-08-26T19:58:24.7262334Z zero_point (Tensor): scalar for the output zero point 2025-08-26T19:58:24.7262621Z 2025-08-26T19:58:24.7262774Z See :class:`~torch.nn.Conv1d` for other attributes. 2025-08-26T19:58:24.7263043Z 2025-08-26T19:58:24.7263156Z Examples:: 2025-08-26T19:58:24.7263290Z 2025-08-26T19:58:24.7263454Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE) 2025-08-26T19:58:24.7263846Z >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2) 2025-08-26T19:58:24.7264216Z >>> input = torch.randn(20, 16, 100) 2025-08-26T19:58:24.7264554Z >>> # quantize input to quint8 2025-08-26T19:58:24.7264880Z >>> # xdoctest: +SKIP 2025-08-26T19:58:24.7265269Z >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0, 2025-08-26T19:58:24.7265740Z ... dtype=torch.quint8) 2025-08-26T19:58:24.7266099Z >>> output = m(q_input) 2025-08-26T19:58:24.7266284Z 2025-08-26T19:58:24.7266380Z 2025-08-26T19:58:24.7266759Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.7267132Z 2025-08-26T19:58:24.7470538Z msg = Cannot scrape callname=LSTM in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12. 2025-08-26T19:58:24.7471491Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.7472008Z A quantized long short-term memory (LSTM). 2025-08-26T19:58:24.7472259Z 2025-08-26T19:58:24.7472538Z For the description and the argument types, please, refer to :class:`~torch.nn.LSTM` 2025-08-26T19:58:24.7472938Z 2025-08-26T19:58:24.7473086Z Attributes: 2025-08-26T19:58:24.7473409Z layers : instances of the `_LSTMLayer` 2025-08-26T19:58:24.7473654Z 2025-08-26T19:58:24.7473747Z .. note:: 2025-08-26T19:58:24.7474099Z To access the weights and biases, you need to access them per layer. 2025-08-26T19:58:24.7474614Z See examples in :class:`~torch.ao.nn.quantizable.LSTM` 2025-08-26T19:58:24.7474898Z 2025-08-26T19:58:24.7475003Z Examples:: 2025-08-26T19:58:24.7475227Z >>> # xdoctest: +SKIP 2025-08-26T19:58:24.7475699Z >>> custom_module_config = { 2025-08-26T19:58:24.7476063Z ... 'float_to_observed_custom_module_class': { 2025-08-26T19:58:24.7476447Z ... nn.LSTM: nn.quantizable.LSTM, 2025-08-26T19:58:24.7476764Z ... }, 2025-08-26T19:58:24.7477061Z ... 'observed_to_quantized_custom_module_class': { 2025-08-26T19:58:24.7477478Z ... nn.quantizable.LSTM: nn.quantized.LSTM, 2025-08-26T19:58:24.7477832Z ... } 2025-08-26T19:58:24.7478048Z ... } 2025-08-26T19:58:24.7478407Z >>> tq.prepare(model, prepare_custom_module_class=custom_module_config) 2025-08-26T19:58:24.7478967Z >>> tq.convert(model, convert_custom_module_class=custom_module_config) 2025-08-26T19:58:24.7479385Z 2025-08-26T19:58:24.7479742Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.7480125Z 2025-08-26T19:58:24.8194828Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-08-26T19:58:24.8196087Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.8196487Z 2025-08-26T19:58:24.8196751Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-08-26T19:58:24.8197362Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-08-26T19:58:24.8197963Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-08-26T19:58:24.8198413Z input by the user. 2025-08-26T19:58:24.8198790Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-08-26T19:58:24.8199290Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-08-26T19:58:24.8199556Z 2025-08-26T19:58:24.8199673Z Note:: 2025-08-26T19:58:24.8200119Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-08-26T19:58:24.8200562Z 2025-08-26T19:58:24.8200643Z Args: 2025-08-26T19:58:24.8200867Z model (nn.Module): 2025-08-26T19:58:24.8201260Z The model whose layers will be sparsified. The layers that needs to be 2025-08-26T19:58:24.8201852Z sparsified should be added separately using the register_layer() function 2025-08-26T19:58:24.8202322Z aggregate_fn (Optional, Callable): 2025-08-26T19:58:24.8202803Z default aggregate_fn that is used if not specified while registering the layer. 2025-08-26T19:58:24.8203354Z specifies how inputs should be aggregated over time. 2025-08-26T19:58:24.8203924Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-08-26T19:58:24.8204408Z Example 2025-08-26T19:58:24.8204726Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-08-26T19:58:24.8205275Z reduce_fn (Optional, Callable): 2025-08-26T19:58:24.8205755Z default reduce_fn that is used if not specified while registering the layer. 2025-08-26T19:58:24.8206392Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-08-26T19:58:24.8206893Z calling agg_fn() on all inputs. 2025-08-26T19:58:24.8207204Z Example 2025-08-26T19:58:24.8207568Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-08-26T19:58:24.8208006Z mask_fn (Optional, Callable): 2025-08-26T19:58:24.8208549Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-08-26T19:58:24.8209229Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-08-26T19:58:24.8209716Z register_layer(). 2025-08-26T19:58:24.8210265Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-08-26T19:58:24.8210832Z arguments. 2025-08-26T19:58:24.8211229Z features (Optional, list): 2025-08-26T19:58:24.8211591Z default selected features to sparsify. 2025-08-26T19:58:24.8212107Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-08-26T19:58:24.8212599Z For example, 2025-08-26T19:58:24.8213043Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-08-26T19:58:24.8213569Z feature_dim (Optional, int): 2025-08-26T19:58:24.8214072Z default dimension of input features. Again, features along this dim will be chosen 2025-08-26T19:58:24.8214584Z for sparsification. 2025-08-26T19:58:24.8214899Z sparse_config (Dict): 2025-08-26T19:58:24.8215308Z Default configuration for the mask_fn. This config will be passed 2025-08-26T19:58:24.8215757Z with the mask_fn() 2025-08-26T19:58:24.8215965Z 2025-08-26T19:58:24.8216051Z Example: 2025-08-26T19:58:24.8216280Z >>> # xdoctest: +SKIP 2025-08-26T19:58:24.8216665Z >>> model = SomeModel() 2025-08-26T19:58:24.8217082Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-08-26T19:58:24.8217567Z >>> # Initialize aggregate_fn 2025-08-26T19:58:24.8217875Z >>> def agg_fn(x, y): 2025-08-26T19:58:24.8218147Z >>> return x + y 2025-08-26T19:58:24.8218389Z >>> 2025-08-26T19:58:24.8218620Z >>> # Initialize reduce_fn 2025-08-26T19:58:24.8218980Z >>> def reduce_fn(x): 2025-08-26T19:58:24.8219287Z >>> return torch.mean(x, dim=0) 2025-08-26T19:58:24.8219719Z >>> 2025-08-26T19:58:24.8220007Z >>> # Initialize mask_fn 2025-08-26T19:58:24.8220299Z >>> def mask_fn(data): 2025-08-26T19:58:24.8220697Z >>> return torch.eye(data.shape).to(data.device) 2025-08-26T19:58:24.8221051Z >>> 2025-08-26T19:58:24.8221306Z >>> 2025-08-26T19:58:24.8221577Z >>> act_sparsifier.register_layer( 2025-08-26T19:58:24.8221895Z ... model.some_layer, 2025-08-26T19:58:24.8222270Z ... aggregate_fn=agg_fn, 2025-08-26T19:58:24.8222576Z ... reduce_fn=reduce_fn, 2025-08-26T19:58:24.8222909Z ... mask_fn=mask_fn, 2025-08-26T19:58:24.8223199Z ... ) 2025-08-26T19:58:24.8223411Z >>> 2025-08-26T19:58:24.8223644Z >>> # start training process 2025-08-26T19:58:24.8223985Z >>> for _ in [...]: 2025-08-26T19:58:24.8224225Z >>> # epoch starts 2025-08-26T19:58:24.8224622Z >>> # model.forward(), compute_loss() and model.backwards() 2025-08-26T19:58:24.8225005Z >>> # epoch ends 2025-08-26T19:58:24.8225316Z >>> act_sparsifier.step() 2025-08-26T19:58:24.8225627Z >>> # end training process 2025-08-26T19:58:24.8225925Z >>> sparsifier.squash_mask() 2025-08-26T19:58:24.8226201Z 2025-08-26T19:58:24.8226454Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.8226845Z 2025-08-26T19:58:24.8227826Z msg = Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91. 2025-08-26T19:58:24.8229272Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.8229678Z 2025-08-26T19:58:24.8229902Z Abstract method that needs to be implemented by the child class. 2025-08-26T19:58:24.8230547Z The expected return type should is a dictionary of name to schedule_param value 2025-08-26T19:58:24.8231280Z The returned values will be updated in sparsifier when the scheduler step() function 2025-08-26T19:58:24.8231785Z is called. 2025-08-26T19:58:24.8231966Z 2025-08-26T19:58:24.8232069Z Example: 2025-08-26T19:58:24.8232294Z >>> def get_schedule_param(self): 2025-08-26T19:58:24.8232611Z ... new_param = {} 2025-08-26T19:58:24.8232944Z ... for name in self.sparsifier.data_groups.keys(): 2025-08-26T19:58:24.8233450Z ... new_param[name] = ( 2025-08-26T19:58:24.8233851Z ... self.sparsifier.data_groups[name][self.schedule_param] * 0.5 2025-08-26T19:58:24.8234389Z ... ) 2025-08-26T19:58:24.8234638Z ... return new_param 2025-08-26T19:58:24.8234817Z 2025-08-26T19:58:24.8235170Z When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param] 2025-08-26T19:58:24.8235813Z would be halved 2025-08-26T19:58:24.8235952Z 2025-08-26T19:58:24.8236205Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.8236591Z 2025-08-26T19:58:24.8517418Z msg = Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229. 2025-08-26T19:58:24.8519039Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.8519609Z Squashes the sparse masks into the appropriate tensors. 2025-08-26T19:58:24.8519896Z 2025-08-26T19:58:24.8520119Z If either the `params_to_keep` or `params_to_keep_per_layer` is set, 2025-08-26T19:58:24.8520798Z the module will have a `sparse_params` dict attached to it. 2025-08-26T19:58:24.8521117Z 2025-08-26T19:58:24.8521205Z Args: 2025-08-26T19:58:24.8521536Z params_to_keep: List of keys to save in the module or a dict 2025-08-26T19:58:24.8522109Z representing the modules and keys that will have 2025-08-26T19:58:24.8522524Z sparsity parameters saved 2025-08-26T19:58:24.8522966Z params_to_keep_per_layer: Dict to specify the params that should be 2025-08-26T19:58:24.8523463Z saved for specific layers. The keys in the dict 2025-08-26T19:58:24.8523907Z should be the module fqn, while the values should 2025-08-26T19:58:24.8524356Z be a list of strings with the names of the variables 2025-08-26T19:58:24.8524768Z to save in the `sparse_params` 2025-08-26T19:58:24.8525012Z 2025-08-26T19:58:24.8525107Z Examples: 2025-08-26T19:58:24.8525387Z >>> # xdoctest: +SKIP("locals are undefined") 2025-08-26T19:58:24.8525751Z >>> # Don't save any sparse params 2025-08-26T19:58:24.8526101Z >>> sparsifier.squash_mask() 2025-08-26T19:58:24.8526452Z >>> hasattr(model.submodule1, "sparse_params") 2025-08-26T19:58:24.8526795Z False 2025-08-26T19:58:24.8526947Z 2025-08-26T19:58:24.8527064Z >>> # Keep sparse params per layer 2025-08-26T19:58:24.8527407Z >>> sparsifier.squash_mask( 2025-08-26T19:58:24.8527742Z ... params_to_keep_per_layer={ 2025-08-26T19:58:24.8528089Z ... "submodule1.linear1": ("foo", "bar"), 2025-08-26T19:58:24.8528471Z ... "submodule2.linear42": ("baz",), 2025-08-26T19:58:24.8528800Z ... } 2025-08-26T19:58:24.8529064Z ... ) 2025-08-26T19:58:24.8529351Z >>> print(model.submodule1.linear1.sparse_params) 2025-08-26T19:58:24.8529731Z {'foo': 42, 'bar': 24} 2025-08-26T19:58:24.8530088Z >>> print(model.submodule2.linear42.sparse_params) 2025-08-26T19:58:24.8530464Z {'baz': 0.1} 2025-08-26T19:58:24.8530624Z 2025-08-26T19:58:24.8530747Z >>> # Keep sparse params for all layers 2025-08-26T19:58:24.8531164Z >>> sparsifier.squash_mask(params_to_keep=("foo", "bar")) 2025-08-26T19:58:24.8531621Z >>> print(model.submodule1.linear1.sparse_params) 2025-08-26T19:58:24.8531996Z {'foo': 42, 'bar': 24} 2025-08-26T19:58:24.8532406Z >>> print(model.submodule2.linear42.sparse_params) 2025-08-26T19:58:24.8532785Z {'foo': 42, 'bar': 24} 2025-08-26T19:58:24.8532992Z 2025-08-26T19:58:24.8533189Z >>> # Keep some sparse params for all layers, and specific ones for 2025-08-26T19:58:24.8533610Z >>> # some other layers 2025-08-26T19:58:24.8533927Z >>> sparsifier.squash_mask( 2025-08-26T19:58:24.8534366Z ... params_to_keep=("foo", "bar"), 2025-08-26T19:58:24.8534801Z ... params_to_keep_per_layer={"submodule2.linear42": ("baz",)}, 2025-08-26T19:58:24.8535203Z ... ) 2025-08-26T19:58:24.8535537Z >>> print(model.submodule1.linear1.sparse_params) 2025-08-26T19:58:24.8535903Z {'foo': 42, 'bar': 24} 2025-08-26T19:58:24.8536265Z >>> print(model.submodule2.linear42.sparse_params) 2025-08-26T19:58:24.8536658Z {'foo': 42, 'bar': 24, 'baz': 0.1} 2025-08-26T19:58:24.8536973Z 2025-08-26T19:58:24.8537337Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.8537727Z 2025-08-26T19:58:24.9436920Z msg = Cannot scrape callname=DTypeConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181. 2025-08-26T19:58:24.9437999Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:24.9438419Z 2025-08-26T19:58:24.9438844Z Config object that specifies the supported data types passed as arguments to 2025-08-26T19:58:24.9439472Z quantize ops in the reference model spec, for input and output activations, 2025-08-26T19:58:24.9439939Z weights, and biases. 2025-08-26T19:58:24.9440097Z 2025-08-26T19:58:24.9440256Z For example, consider the following reference model: 2025-08-26T19:58:24.9440545Z 2025-08-26T19:58:24.9440708Z quant1 - [dequant1 - fp32_linear - quant2] - dequant2 2025-08-26T19:58:24.9440995Z 2025-08-26T19:58:24.9441212Z The pattern in the square brackets refers to the reference pattern of 2025-08-26T19:58:24.9441791Z statically quantized linear. Setting the input dtype as `torch.quint8` 2025-08-26T19:58:24.9442389Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument 2025-08-26T19:58:24.9442951Z to the first quantize op (quant1). Similarly, setting the output dtype as 2025-08-26T19:58:24.9443530Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to 2025-08-26T19:58:24.9443992Z the second quantize op (quant2). 2025-08-26T19:58:24.9444193Z 2025-08-26T19:58:24.9444424Z Note that the dtype here does not refer to the interface dtypes of the 2025-08-26T19:58:24.9444951Z op. For example, the "input dtype" here is not the dtype of the input 2025-08-26T19:58:24.9445496Z tensor passed to the quantized linear op. Though it can still be the 2025-08-26T19:58:24.9446032Z same as the interface dtype, this is not always the case, e.g. the 2025-08-26T19:58:24.9446565Z interface dtype is fp32 in dynamic quantization but the "input dtype" 2025-08-26T19:58:24.9447115Z specified in the DTypeConfig would still be quint8. The semantics of 2025-08-26T19:58:24.9447645Z dtypes here are the same as the semantics of the dtypes specified in 2025-08-26T19:58:24.9448071Z the observers. 2025-08-26T19:58:24.9448219Z 2025-08-26T19:58:24.9448424Z These dtypes are matched against the ones specified in the user's 2025-08-26T19:58:24.9448974Z QConfig. If there is a match, and the QConfig satisfies the constraints 2025-08-26T19:58:24.9449524Z specified in the DTypeConfig (if any), then we will quantize the given 2025-08-26T19:58:24.9450093Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and 2025-08-26T19:58:24.9450549Z the pattern will not be quantized. 2025-08-26T19:58:24.9450755Z 2025-08-26T19:58:24.9450881Z Example usage:: 2025-08-26T19:58:24.9451020Z 2025-08-26T19:58:24.9451139Z >>> # xdoctest: +SKIP(failing) 2025-08-26T19:58:24.9451438Z >>> dtype_config1 = DTypeConfig( 2025-08-26T19:58:24.9451764Z ... input_dtype=torch.quint8, 2025-08-26T19:58:24.9452090Z ... output_dtype=torch.quint8, 2025-08-26T19:58:24.9452420Z ... weight_dtype=torch.qint8, 2025-08-26T19:58:24.9452750Z ... bias_dtype=torch.float) 2025-08-26T19:58:24.9452967Z 2025-08-26T19:58:24.9453074Z >>> dtype_config2 = DTypeConfig( 2025-08-26T19:58:24.9453418Z ... input_dtype=DTypeWithConstraints( 2025-08-26T19:58:24.9453872Z ... dtype=torch.quint8, 2025-08-26T19:58:24.9454177Z ... quant_min_lower_bound=0, 2025-08-26T19:58:24.9454511Z ... quant_max_upper_bound=255, 2025-08-26T19:58:24.9455050Z ... ), 2025-08-26T19:58:24.9455322Z ... output_dtype=DTypeWithConstraints( 2025-08-26T19:58:24.9455750Z ... dtype=torch.quint8, 2025-08-26T19:58:24.9456068Z ... quant_min_lower_bound=0, 2025-08-26T19:58:24.9456403Z ... quant_max_upper_bound=255, 2025-08-26T19:58:24.9456717Z ... ), 2025-08-26T19:58:24.9456973Z ... weight_dtype=DTypeWithConstraints( 2025-08-26T19:58:24.9457327Z ... dtype=torch.qint8, 2025-08-26T19:58:24.9457645Z ... quant_min_lower_bound=-128, 2025-08-26T19:58:24.9457982Z ... quant_max_upper_bound=127, 2025-08-26T19:58:24.9458293Z ... ), 2025-08-26T19:58:24.9458520Z ... bias_dtype=torch.float) 2025-08-26T19:58:24.9458733Z 2025-08-26T19:58:24.9458847Z >>> dtype_config1.input_dtype 2025-08-26T19:58:24.9459248Z torch.quint8 2025-08-26T19:58:24.9459392Z 2025-08-26T19:58:24.9459511Z >>> dtype_config2.input_dtype 2025-08-26T19:58:24.9459793Z torch.quint8 2025-08-26T19:58:24.9459947Z 2025-08-26T19:58:24.9460081Z >>> dtype_config2.input_dtype_with_constraints 2025-08-26T19:58:24.9460876Z DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None) 2025-08-26T19:58:24.9461531Z 2025-08-26T19:58:24.9461801Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:24.9462168Z 2025-08-26T19:58:25.0529856Z msg = Cannot scrape callname=ModelReport in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24. 2025-08-26T19:58:25.0530925Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.0531325Z 2025-08-26T19:58:25.0531653Z The ModelReport class aims to provide users an easy way to diagnose issues that they run into 2025-08-26T19:58:25.0532381Z with their models. The class works with all traceable GraphModules to help diagnose issues, 2025-08-26T19:58:25.0533090Z though the requirements on the type of model more-so depends on the specific report the user 2025-08-26T19:58:25.0533816Z is trying to generate. With respect to the reports, the ModelReport class is initialized with 2025-08-26T19:58:25.0534512Z a set of Detector classes, each of which generate reports on quantization configuration 2025-08-26T19:58:25.0535014Z issues a use might have. 2025-08-26T19:58:25.0535184Z 2025-08-26T19:58:25.0535311Z Currently supports generating reports on: 2025-08-26T19:58:25.0535783Z - Suggestions for per-channel vs. per-tensor quantization (nn.Module) 2025-08-26T19:58:25.0536403Z - Suggestions for dynamic vs static quantization for linear layers (Graph Modules) 2025-08-26T19:58:25.0537091Z - Suggestions for input-weight equalization for linear and conv layers (Graph Modules) 2025-08-26T19:58:25.0537742Z - Suggestions for outlier detection for all layers (Graph Modules) 2025-08-26T19:58:25.0538067Z 2025-08-26T19:58:25.0538465Z The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver) 2025-08-26T19:58:25.0539365Z where needed for each detector to gather the information it needs, and then after calibration, the ModelReport 2025-08-26T19:58:25.0540242Z class compiles the report generated by each Detector class into a single report to return to the user. It also 2025-08-26T19:58:25.0540958Z has the capability to remove all the observers it inserted as well. 2025-08-26T19:58:25.0541283Z 2025-08-26T19:58:25.0541578Z * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule 2025-08-26T19:58:25.0541981Z 2025-08-26T19:58:25.0542361Z * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class 2025-08-26T19:58:25.0543380Z Make sure that these are all unique types of detectors [do not have more than 1 of the same class] 2025-08-26T19:58:25.0543829Z 2025-08-26T19:58:25.0544119Z * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors. 2025-08-26T19:58:25.0544766Z This set is generated by calling the get_detector_name() of each detector 2025-08-26T19:58:25.0545111Z 2025-08-26T19:58:25.0545462Z * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest 2025-08-26T19:58:25.0546244Z The purpose of this is to keep track of what observers were inserted for each detector, so that they 2025-08-26T19:58:25.0546785Z can be removed at the end if desired 2025-08-26T19:58:25.0547018Z 2025-08-26T19:58:25.0547337Z * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not 2025-08-26T19:58:25.0548015Z This is to ensure we only insert observers once with the ModelReport instance 2025-08-26T19:58:25.0548422Z 2025-08-26T19:58:25.0548780Z * :attr:`_removed_observers` A boolean to track if we have removed observers already 2025-08-26T19:58:25.0549473Z The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport 2025-08-26T19:58:25.0550200Z instance. This also allows the functionality where we can generate the report multiple times 2025-08-26T19:58:25.0550821Z as long as we haven't removed the observers yet. 2025-08-26T19:58:25.0551093Z 2025-08-26T19:58:25.0551178Z Note: 2025-08-26T19:58:25.0551607Z This class was initially designed to work with the Fx Graph Mode workflow in mind. However, 2025-08-26T19:58:25.0552357Z full functionality is available as long as there is a traceable GraphModule that is being used. 2025-08-26T19:58:25.0553166Z One method to get a traceable GraphModule without going through the Fx workflow is to use 2025-08-26T19:58:25.0553694Z the QuantizationTracer class. 2025-08-26T19:58:25.0553923Z 2025-08-26T19:58:25.0554031Z General Flow for Fx workflow: 2025-08-26T19:58:25.0554788Z 1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model 2025-08-26T19:58:25.0555437Z 2.) Prepare your model with prepare_fx 2025-08-26T19:58:25.0555907Z 3.) Call model_report.prepare_detailed_calibration to add relevant observers 2025-08-26T19:58:25.0556394Z 4.) Calibrate your model with data 2025-08-26T19:58:25.0556971Z 5.) Call model_report.generate_report on your model to generate report and optionally remove added observers 2025-08-26T19:58:25.0557553Z Optional 2025-08-26T19:58:25.0557954Z 6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance 2025-08-26T19:58:25.0558585Z 7.) To help in parsing report information and debugging, view report info as a: 2025-08-26T19:58:25.0559054Z - Table 2025-08-26T19:58:25.0559295Z - Histogram 2025-08-26T19:58:25.0559537Z - Line plot 2025-08-26T19:58:25.0560000Z 8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions 2025-08-26T19:58:25.0560448Z 2025-08-26T19:58:25.0560564Z Example (with QuantizationTracer): 2025-08-26T19:58:25.0560879Z >>> # xdoctest: +SKIP 2025-08-26T19:58:25.0561161Z >>> # get the necessary qconfig 2025-08-26T19:58:25.0561473Z >>> config = PrepareCustomConfig() 2025-08-26T19:58:25.0561851Z >>> skipped_module_names, skipped_module_classes = ( 2025-08-26T19:58:25.0562283Z ... get_skipped_module_name_and_classes(config, False) 2025-08-26T19:58:25.0562651Z ... ) 2025-08-26T19:58:25.0562768Z 2025-08-26T19:58:25.0562901Z >>> # initialize our model and get GraphModule 2025-08-26T19:58:25.0563247Z >>> model = SomeModel() 2025-08-26T19:58:25.0563688Z >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes) 2025-08-26T19:58:25.0564235Z >>> graph_module = GraphModule(model, tracer.trace(model)) 2025-08-26T19:58:25.0564517Z 2025-08-26T19:58:25.0564786Z >>> # get our set of detectors and ModelReport instance 2025-08-26T19:58:25.0565150Z >>> detector_set = set( 2025-08-26T19:58:25.0565416Z ... [ 2025-08-26T19:58:25.0565699Z ... DynamicStaticDetector(tolerance=0.5), 2025-08-26T19:58:25.0566153Z ... InputWeightEqualizationDetector(ratio_threshold=0.7), 2025-08-26T19:58:25.0566543Z ... ] 2025-08-26T19:58:25.0566764Z ... ) 2025-08-26T19:58:25.0567099Z >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set) 2025-08-26T19:58:25.0567428Z 2025-08-26T19:58:25.0567597Z >>> # now we insert the observers and calibrate the model 2025-08-26T19:58:25.0568117Z >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration() 2025-08-26T19:58:25.0568636Z >>> for i in range(num_callibration_batches): 2025-08-26T19:58:25.0569020Z >>> example_input = get_callibration_input() 2025-08-26T19:58:25.0569412Z >>> tracer_model_with_observers(example_input) 2025-08-26T19:58:25.0569659Z 2025-08-26T19:58:25.0570009Z >>> # finally we generate the reports and optionally remove the observers we inserted 2025-08-26T19:58:25.0570542Z >>> reports = tracer_reporter.generate_model_report( 2025-08-26T19:58:25.0570933Z ... remove_inserted_observers=True 2025-08-26T19:58:25.0571249Z ... ) 2025-08-26T19:58:25.0571366Z 2025-08-26T19:58:25.0571608Z >>> # Optional: we can generate the qconfig mapping based on the suggestions 2025-08-26T19:58:25.0572111Z >>> qconfigs = model_report.generate_qconfig_mapping() 2025-08-26T19:58:25.0572399Z 2025-08-26T19:58:25.0572643Z >>> # Optional: we can generate the equalization mapping based on the suggestions 2025-08-26T19:58:25.0573196Z >>> qconfigs = model_report.generate_equalization_mapping() 2025-08-26T19:58:25.0573487Z 2025-08-26T19:58:25.0573783Z >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired 2025-08-26T19:58:25.0574403Z >>> model_report_visualizer = tracer_reporter.generate_visualizer() 2025-08-26T19:58:25.0574732Z 2025-08-26T19:58:25.0574740Z 2025-08-26T19:58:25.0574990Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.0575373Z 2025-08-26T19:58:25.0614721Z msg = Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301. 2025-08-26T19:58:25.0616066Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.0616528Z 2025-08-26T19:58:25.0616800Z Takes in optional filter values and generates two tables with desired information. 2025-08-26T19:58:25.0617536Z 2025-08-26T19:58:25.0617833Z The generated tables are presented in both a list-of-lists format 2025-08-26T19:58:25.0618155Z 2025-08-26T19:58:25.0618374Z The reason for the two tables are that they handle different things: 2025-08-26T19:58:25.0618865Z 1.) the first table handles all tensor level information 2025-08-26T19:58:25.0619362Z 2.) the second table handles and displays all channel based information 2025-08-26T19:58:25.0619706Z 2025-08-26T19:58:25.0620024Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2025-08-26T19:58:25.0620866Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2025-08-26T19:58:25.0621979Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2025-08-26T19:58:25.0622632Z 2025-08-26T19:58:25.0622744Z Tensor table columns: 2025-08-26T19:58:25.0623088Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2025-08-26T19:58:25.0623655Z ---- --------- --------- --------- --------- --------- 2025-08-26T19:58:25.0623983Z 2025-08-26T19:58:25.0624090Z Per-Channel table columns: 2025-08-26T19:58:25.0624728Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2025-08-26T19:58:25.0625606Z ---- --------- ------- --------- --------- --------- --------- 2025-08-26T19:58:25.0625890Z 2025-08-26T19:58:25.0625985Z Args: 2025-08-26T19:58:25.0626373Z feature_filter (str, optional): Filters the features presented to only those that 2025-08-26T19:58:25.0626861Z contain this filter substring 2025-08-26T19:58:25.0627243Z Default = "", results in all the features being printed 2025-08-26T19:58:25.0627788Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-26T19:58:25.0628423Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-26T19:58:25.0628788Z 2025-08-26T19:58:25.0628900Z Returns a dictionary with two keys: 2025-08-26T19:58:25.0629296Z (Dict[str, Tuple[List, List]]) A dict containing two keys: 2025-08-26T19:58:25.0629723Z "tensor_level_info", "channel_level_info" 2025-08-26T19:58:25.0630079Z Each key maps to a tuple with: 2025-08-26T19:58:25.0630489Z A list of the headers of each table 2025-08-26T19:58:25.0630897Z A list of lists containing the table information row by row 2025-08-26T19:58:25.0631420Z The 0th index row will contain the headers of the columns 2025-08-26T19:58:25.0631839Z The rest of the rows will contain data 2025-08-26T19:58:25.0632075Z 2025-08-26T19:58:25.0632183Z Example Use: 2025-08-26T19:58:25.0632438Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:25.0632831Z >>> mod_report_visualizer.generate_filtered_tables( 2025-08-26T19:58:25.0633371Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-26T19:58:25.0633967Z ... ) # generates table with per_channel_min info for all modules in block 1 of the model 2025-08-26T19:58:25.0634360Z 2025-08-26T19:58:25.0634633Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.0635005Z 2025-08-26T19:58:25.0635932Z msg = Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399. 2025-08-26T19:58:25.0637229Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.0637625Z 2025-08-26T19:58:25.0637896Z Takes in optional filter values and prints out formatted tables of the information. 2025-08-26T19:58:25.0638291Z 2025-08-26T19:58:25.0638649Z The reason for the two tables printed out instead of one large one are that they handle different things: 2025-08-26T19:58:25.0639290Z 1.) the first table handles all tensor level information 2025-08-26T19:58:25.0639776Z 2.) the second table handles and displays all channel based information 2025-08-26T19:58:25.0640129Z 2025-08-26T19:58:25.0640448Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2025-08-26T19:58:25.0641239Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2025-08-26T19:58:25.0642062Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2025-08-26T19:58:25.0642540Z 2025-08-26T19:58:25.0642656Z Tensor table columns: 2025-08-26T19:58:25.0643003Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2025-08-26T19:58:25.0643475Z ---- --------- --------- --------- --------- --------- 2025-08-26T19:58:25.0643761Z 2025-08-26T19:58:25.0643870Z Per-Channel table columns: 2025-08-26T19:58:25.0644051Z 2025-08-26T19:58:25.0644307Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2025-08-26T19:58:25.0644815Z ---- --------- ------- --------- --------- --------- --------- 2025-08-26T19:58:25.0645092Z 2025-08-26T19:58:25.0645177Z Args: 2025-08-26T19:58:25.0645567Z feature_filter (str, optional): Filters the features presented to only those that 2025-08-26T19:58:25.0646164Z contain this filter substring 2025-08-26T19:58:25.0646556Z Default = "", results in all the features being printed 2025-08-26T19:58:25.0647089Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-26T19:58:25.0647726Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-26T19:58:25.0648107Z 2025-08-26T19:58:25.0648196Z Example Use: 2025-08-26T19:58:25.0648464Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:25.0648873Z >>> mod_report_visualizer.generate_table_visualization( 2025-08-26T19:58:25.0649337Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-26T19:58:25.0649739Z ... ) 2025-08-26T19:58:25.0650055Z >>> # prints out neatly formatted table with per_channel_min info 2025-08-26T19:58:25.0650491Z >>> # for all modules in block 1 of the model 2025-08-26T19:58:25.0650726Z 2025-08-26T19:58:25.0651008Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.0651446Z 2025-08-26T19:58:25.0652360Z msg = Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564. 2025-08-26T19:58:25.0653644Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.0654036Z 2025-08-26T19:58:25.0654273Z Takes in a feature and optional module_filter and plots of the desired data. 2025-08-26T19:58:25.0654785Z 2025-08-26T19:58:25.0655072Z For per channel features, it averages the value across the channels and plots a point 2025-08-26T19:58:25.0655733Z per module. The reason for this is that for models with hundreds of channels, it can 2025-08-26T19:58:25.0656393Z be hard to differentiate one channel line from another, and so the point of generating 2025-08-26T19:58:25.0657073Z a single average point per module is to give a sense of general trends that encourage 2025-08-26T19:58:25.0657578Z further deep dives. 2025-08-26T19:58:25.0657729Z 2025-08-26T19:58:25.0657827Z Note: 2025-08-26T19:58:25.0658205Z Only features in the report that have tensor value data are plottable by this class 2025-08-26T19:58:25.0658761Z When the tensor information is plotted, it will plot: 2025-08-26T19:58:25.0659184Z idx as the x val, feature value as the y_val 2025-08-26T19:58:25.0659603Z When the channel information is plotted, it will plot: 2025-08-26T19:58:25.0660150Z the first idx of each module as the x val, feature value as the y_val [for each channel] 2025-08-26T19:58:25.0660754Z The reason for this is that we want to be able to compare values across the 2025-08-26T19:58:25.0661346Z channels for same layer, and it will be hard if values are staggered by idx 2025-08-26T19:58:25.0661881Z This means each module is represented by only 1 x value 2025-08-26T19:58:25.0662256Z Args: 2025-08-26T19:58:25.0662600Z feature_filter (str): Filters the features presented to only those that 2025-08-26T19:58:25.0663063Z contain this filter substring 2025-08-26T19:58:25.0663543Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-26T19:58:25.0664179Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-26T19:58:25.0664546Z 2025-08-26T19:58:25.0664650Z Example Use: 2025-08-26T19:58:25.0664900Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:25.0665305Z >>> mod_report_visualizer.generate_plot_visualization( 2025-08-26T19:58:25.0665778Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-26T19:58:25.0666179Z ... ) 2025-08-26T19:58:25.0666471Z >>> # outputs line plot of per_channel_min information for all 2025-08-26T19:58:25.0666954Z >>> # modules in block1 of model each channel gets it's own line, 2025-08-26T19:58:25.0667430Z >>> # and it's plotted across the in-order modules on the x-axis 2025-08-26T19:58:25.0667828Z 2025-08-26T19:58:25.0668101Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.0668467Z 2025-08-26T19:58:25.0669417Z msg = Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643. 2025-08-26T19:58:25.0670746Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.0671138Z 2025-08-26T19:58:25.0671416Z Takes in a feature and optional module_filter and plots the histogram of desired data. 2025-08-26T19:58:25.0671829Z 2025-08-26T19:58:25.0671911Z Note: 2025-08-26T19:58:25.0672300Z Only features in the report that have tensor value data can be viewed as a histogram 2025-08-26T19:58:25.0672957Z If you want to plot a histogram from all the channel values of a specific feature for 2025-08-26T19:58:25.0673733Z a specific model, make sure to specify both the model and the feature properly 2025-08-26T19:58:25.0674354Z in the filters and you should be able to see a distribution of the channel data 2025-08-26T19:58:25.0674730Z 2025-08-26T19:58:25.0674812Z Args: 2025-08-26T19:58:25.0675194Z feature_filter (str, optional): Filters the features presented to only those that 2025-08-26T19:58:25.0675696Z contain this filter substring 2025-08-26T19:58:25.0676065Z Default = "", results in all the features being printed 2025-08-26T19:58:25.0676610Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-26T19:58:25.0677244Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-26T19:58:25.0677844Z num_bins (int, optional): The number of bins to create the histogram with 2025-08-26T19:58:25.0678371Z Default = 10, the values will be split into 10 equal sized bins 2025-08-26T19:58:25.0678693Z 2025-08-26T19:58:25.0678783Z Example Use: 2025-08-26T19:58:25.0679025Z >>> # xdoctest: +SKIP 2025-08-26T19:58:25.0679506Z >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization( 2025-08-26T19:58:25.0680133Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-26T19:58:25.0680523Z ... ) 2025-08-26T19:58:25.0680934Z # outputs histogram of per_channel_min information for all modules in block1 of model 2025-08-26T19:58:25.0681602Z information is gathered across all channels for all modules in block 1 for the 2025-08-26T19:58:25.0682211Z per_channel_min and is displayed in a histogram of equally sized bins 2025-08-26T19:58:25.0682548Z 2025-08-26T19:58:25.0682799Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.0683181Z 2025-08-26T19:58:25.2024191Z msg = Cannot scrape callname=record_function in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py line=734. 2025-08-26T19:58:25.2025186Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.2025946Z Context manager/function decorator that adds a label to a code block/function when running autograd profiler. 2025-08-26T19:58:25.2026643Z Label will only appear if CPU activity tracing is enabled. 2025-08-26T19:58:25.2026971Z 2025-08-26T19:58:25.2027104Z It is useful when tracing the code profile. 2025-08-26T19:58:25.2027345Z 2025-08-26T19:58:25.2027447Z Args: 2025-08-26T19:58:25.2027723Z name (str): Label assigned to the block of code. 2025-08-26T19:58:25.2028160Z node_id (int): ID of node, for distributed profiling. Unset in 2025-08-26T19:58:25.2028580Z non-distributed cases. 2025-08-26T19:58:25.2028769Z 2025-08-26T19:58:25.2028874Z Example: 2025-08-26T19:58:25.2029203Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER) 2025-08-26T19:58:25.2029632Z >>> x = torch.randn((1, 1), requires_grad=True) 2025-08-26T19:58:25.2030334Z >>> with torch.autograd.profiler.profile() as prof: 2025-08-26T19:58:25.2030715Z ... y = x**2 2025-08-26T19:58:25.2031050Z ... with torch.autograd.profiler.record_function( 2025-08-26T19:58:25.2031414Z ... "label-z" 2025-08-26T19:58:25.2031709Z ... ): # label the block 2025-08-26T19:58:25.2032016Z ... z = y**3 2025-08-26T19:58:25.2032294Z ... y.backward() 2025-08-26T19:58:25.2032565Z >>> # xdoctest: +IGNORE_WANT 2025-08-26T19:58:25.2032911Z >>> # NOTE: some columns were removed for brevity 2025-08-26T19:58:25.2033435Z >>> print(prof.key_averages().table(sort_by="self_cpu_time_total")) 2025-08-26T19:58:25.2033976Z ----------------------------------- --------------- --------------- --------------- 2025-08-26T19:58:25.2034486Z Name Self CPU total % CPU time avg Number of Calls 2025-08-26T19:58:25.2035088Z ----------------------------------- --------------- --------------- --------------- 2025-08-26T19:58:25.2035542Z pow 60.77% 47.470us 3 2025-08-26T19:58:25.2035925Z mul 21.73% 25.465us 2 2025-08-26T19:58:25.2036354Z PowBackward0 12.03% 121.891us 1 2025-08-26T19:58:25.2036876Z torch::autograd::AccumulateGrad 2.70% 6.324us 1 2025-08-26T19:58:25.2037364Z label-z 2.13% 12.421us 1 2025-08-26T19:58:25.2037837Z torch::autograd::GraphRoot 0.64% 1.503us 1 2025-08-26T19:58:25.2038352Z ----------------------------------- --------------- --------------- --------------- 2025-08-26T19:58:25.2038780Z Self CPU time total: 234.344us 2025-08-26T19:58:25.2039088Z CUDA time total: 0.000us 2025-08-26T19:58:25.2039297Z 2025-08-26T19:58:25.2039379Z 2025-08-26T19:58:25.2039758Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.2040127Z 2025-08-26T19:58:25.3659511Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py line=721. 2025-08-26T19:58:25.3660506Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:25.3660875Z 2025-08-26T19:58:25.3661159Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-08-26T19:58:25.3661810Z The submesh created consists of the dimensions and the communicators indicated by 2025-08-26T19:58:25.3662299Z ``mesh_dim_names`` 2025-08-26T19:58:25.3662445Z 2025-08-26T19:58:25.3662542Z Args: 2025-08-26T19:58:25.3662901Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-08-26T19:58:25.3663438Z mesh dimension of the DeviceMesh to create the submesh for. 2025-08-26T19:58:25.3663846Z Returns: 2025-08-26T19:58:25.3664095Z A :class:`DeviceMesh` object 2025-08-26T19:58:25.3664292Z 2025-08-26T19:58:25.3664591Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-08-26T19:58:25.3665085Z In the first example: 2025-08-26T19:58:25.3665503Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-08-26T19:58:25.3666126Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-08-26T19:58:25.3666723Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-08-26T19:58:25.3667298Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-08-26T19:58:25.3667861Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-08-26T19:58:25.3668437Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-08-26T19:58:25.3668992Z 2025-08-26T19:58:25.3669099Z In the second example: 2025-08-26T19:58:25.3669542Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-08-26T19:58:25.3670199Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-08-26T19:58:25.3670838Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-08-26T19:58:25.3671488Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-08-26T19:58:25.3671882Z 2025-08-26T19:58:25.3671995Z Example:: 2025-08-26T19:58:25.3672117Z 2025-08-26T19:58:25.3672237Z >>> # xdoctest: +SKIP("no rank") 2025-08-26T19:58:25.3672625Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-08-26T19:58:25.3673038Z >>> 2025-08-26T19:58:25.3673376Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-08-26T19:58:25.3673971Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-08-26T19:58:25.3674491Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-26T19:58:25.3674961Z >>> tp_mesh = mesh_2d["tp"] 2025-08-26T19:58:25.3675261Z >>> dp_mesh = mesh_2d["dp"] 2025-08-26T19:58:25.3675539Z >>> 2025-08-26T19:58:25.3675765Z >>> # Initialize a 3D mesh. 2025-08-26T19:58:25.3676228Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-08-26T19:58:25.3676933Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-08-26T19:58:25.3677478Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-08-26T19:58:25.3677814Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-08-26T19:58:25.3678028Z 2025-08-26T19:58:25.3678720Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-08-26T19:58:25.3679513Z 2025-08-26T19:58:25.3679757Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-26T19:58:25.3680247Z ^ 2025-08-26T19:58:25.4003927Z msg = Cannot scrape callname=batch_isend_irecv in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2710. 2025-08-26T19:58:25.4004937Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.4005321Z 2025-08-26T19:58:25.4005578Z Send or Receive a batch of tensors asynchronously and return a list of requests. 2025-08-26T19:58:25.4013942Z 2025-08-26T19:58:25.4014406Z Process each of the operations in ``p2p_op_list`` and return the corresponding 2025-08-26T19:58:25.4015386Z requests. NCCL, Gloo, and UCC backend are currently supported. 2025-08-26T19:58:25.4015722Z 2025-08-26T19:58:25.4015807Z Args: 2025-08-26T19:58:25.4016170Z p2p_op_list: A list of point-to-point operations(type of each operator is 2025-08-26T19:58:25.4016762Z ``torch.distributed.P2POp``). The order of the isend/irecv in the list 2025-08-26T19:58:25.4017328Z matters and it needs to match with corresponding isend/irecv on the 2025-08-26T19:58:25.4017741Z remote end. 2025-08-26T19:58:25.4017903Z 2025-08-26T19:58:25.4017990Z Returns: 2025-08-26T19:58:25.4018365Z A list of distributed request objects returned by calling the corresponding 2025-08-26T19:58:25.4018838Z op in the op_list. 2025-08-26T19:58:25.4018995Z 2025-08-26T19:58:25.4019097Z Examples: 2025-08-26T19:58:25.4019356Z >>> # xdoctest: +SKIP("no rank") 2025-08-26T19:58:25.4019756Z >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank 2025-08-26T19:58:25.4020217Z >>> recv_tensor = torch.randn(2, dtype=torch.float32) 2025-08-26T19:58:25.4020693Z >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size) 2025-08-26T19:58:25.4025315Z >>> recv_op = dist.P2POp( 2025-08-26T19:58:25.4025714Z ... dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size 2025-08-26T19:58:25.4026122Z ... ) 2025-08-26T19:58:25.4026372Z >>> reqs = batch_isend_irecv([send_op, recv_op]) 2025-08-26T19:58:25.4026726Z >>> for req in reqs: 2025-08-26T19:58:25.4026991Z >>> req.wait() 2025-08-26T19:58:25.4027242Z >>> recv_tensor 2025-08-26T19:58:25.4027500Z tensor([2, 3]) # Rank 0 2025-08-26T19:58:25.4027851Z tensor([0, 1]) # Rank 1 2025-08-26T19:58:25.4028120Z 2025-08-26T19:58:25.4028524Z .. note:: Note that when this API is used with the NCCL PG backend, users must set 2025-08-26T19:58:25.4029333Z the current GPU device with `torch.cuda.set_device`, otherwise it will 2025-08-26T19:58:25.4030085Z lead to unexpected hang issues. 2025-08-26T19:58:25.4030314Z 2025-08-26T19:58:25.4030582Z In addition, if this API is the first collective call in the ``group`` 2025-08-26T19:58:25.4031304Z passed to ``dist.P2POp``, all ranks of the ``group`` must participate in 2025-08-26T19:58:25.4031895Z this API call; otherwise, the behavior is undefined. If this API call is 2025-08-26T19:58:25.4032468Z not the first collective call in the ``group``, batched P2P operations 2025-08-26T19:58:25.4033079Z involving only a subset of ranks of the ``group`` are allowed. 2025-08-26T19:58:25.4033392Z 2025-08-26T19:58:25.4033663Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.4034031Z 2025-08-26T19:58:25.4034627Z msg = Cannot scrape callname=all_reduce in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2842. 2025-08-26T19:58:25.4035571Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.4035968Z 2025-08-26T19:58:25.4036237Z Reduces the tensor data across all machines in a way that all get the final result. 2025-08-26T19:58:25.4036647Z 2025-08-26T19:58:25.4036878Z After the call ``tensor`` is going to be bitwise identical in all processes. 2025-08-26T19:58:25.4037226Z 2025-08-26T19:58:25.4037352Z Complex tensors are supported. 2025-08-26T19:58:25.4037545Z 2025-08-26T19:58:25.4037645Z Args: 2025-08-26T19:58:25.4037958Z tensor (Tensor): Input and output of the collective. The function 2025-08-26T19:58:25.4038392Z operates in-place. 2025-08-26T19:58:25.4038692Z op (optional): One of the values from 2025-08-26T19:58:25.4039047Z ``torch.distributed.ReduceOp`` 2025-08-26T19:58:25.4039457Z enum. Specifies an operation used for element-wise reductions. 2025-08-26T19:58:25.4040009Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-26T19:58:25.4040493Z the default process group will be used. 2025-08-26T19:58:25.4040929Z async_op (bool, optional): Whether this op should be an async op 2025-08-26T19:58:25.4041236Z 2025-08-26T19:58:25.4041324Z Returns: 2025-08-26T19:58:25.4041594Z Async work handle, if async_op is set to True. 2025-08-26T19:58:25.4042003Z None, if not async_op or if not part of the group 2025-08-26T19:58:25.4042257Z 2025-08-26T19:58:25.4042357Z Examples: 2025-08-26T19:58:25.4042591Z >>> # xdoctest: +SKIP("no rank") 2025-08-26T19:58:25.4042926Z >>> # All tensors below are of torch.int64 type. 2025-08-26T19:58:25.4043298Z >>> # We have 2 process groups, 2 ranks. 2025-08-26T19:58:25.4043644Z >>> device = torch.device(f"cuda:{rank}") 2025-08-26T19:58:25.4044101Z >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank 2025-08-26T19:58:25.4044527Z >>> tensor 2025-08-26T19:58:25.4044778Z tensor([1, 2], device='cuda:0') # Rank 0 2025-08-26T19:58:25.4045116Z tensor([3, 4], device='cuda:1') # Rank 1 2025-08-26T19:58:25.4045472Z >>> dist.all_reduce(tensor, op=ReduceOp.SUM) 2025-08-26T19:58:25.4045794Z >>> tensor 2025-08-26T19:58:25.4046041Z tensor([4, 6], device='cuda:0') # Rank 0 2025-08-26T19:58:25.4046433Z tensor([4, 6], device='cuda:1') # Rank 1 2025-08-26T19:58:25.4046728Z 2025-08-26T19:58:25.4046880Z >>> # All tensors below are of torch.cfloat type. 2025-08-26T19:58:25.4047235Z >>> # We have 2 process groups, 2 ranks. 2025-08-26T19:58:25.4047567Z >>> tensor = torch.tensor( 2025-08-26T19:58:25.4047904Z ... [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device 2025-08-26T19:58:25.4048270Z ... ) + 2 * rank * (1 + 1j) 2025-08-26T19:58:25.4048532Z >>> tensor 2025-08-26T19:58:25.4048822Z tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0 2025-08-26T19:58:25.4049215Z tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1 2025-08-26T19:58:25.4049600Z >>> dist.all_reduce(tensor, op=ReduceOp.SUM) 2025-08-26T19:58:25.4049922Z >>> tensor 2025-08-26T19:58:25.4050197Z tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0 2025-08-26T19:58:25.4050582Z tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1 2025-08-26T19:58:25.4050827Z 2025-08-26T19:58:25.4050831Z 2025-08-26T19:58:25.4051194Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.4051572Z 2025-08-26T19:58:25.4052181Z msg = Cannot scrape callname=gather_object in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3202. 2025-08-26T19:58:25.4053138Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.4053534Z 2025-08-26T19:58:25.4053757Z Gathers picklable objects from the whole group in a single process. 2025-08-26T19:58:25.4054110Z 2025-08-26T19:58:25.4054344Z Similar to :func:`gather`, but Python objects can be passed in. Note that the 2025-08-26T19:58:25.4055123Z object must be picklable in order to be gathered. 2025-08-26T19:58:25.4055382Z 2025-08-26T19:58:25.4055485Z Args: 2025-08-26T19:58:25.4055728Z obj (Any): Input object. Must be picklable. 2025-08-26T19:58:25.4056194Z object_gather_list (list[Any]): Output list. On the ``dst`` rank, it 2025-08-26T19:58:25.4056730Z should be correctly sized as the size of the group for this 2025-08-26T19:58:25.4057260Z collective and will contain the output. Must be ``None`` on non-dst 2025-08-26T19:58:25.4057711Z ranks. (default is ``None``) 2025-08-26T19:58:25.4058234Z dst (int, optional): Destination rank on global process group (regardless of ``group`` argument). 2025-08-26T19:58:25.4058880Z (If both ``dst`` and ``group_dst`` are None, default is global rank 0) 2025-08-26T19:58:25.4059439Z group: (ProcessGroup, optional): The process group to work on. If None, 2025-08-26T19:58:25.4059988Z the default process group will be used. Default is ``None``. 2025-08-26T19:58:25.4060633Z group_dst (int, optional): Destination rank on ``group``. Invalid to specify both ``dst`` and ``group_dst`` 2025-08-26T19:58:25.4061111Z 2025-08-26T19:58:25.4061200Z Returns: 2025-08-26T19:58:25.4061509Z None. On the ``dst`` rank, ``object_gather_list`` will contain the 2025-08-26T19:58:25.4061928Z output of the collective. 2025-08-26T19:58:25.4062121Z 2025-08-26T19:58:25.4062360Z .. note:: Note that this API differs slightly from the gather collective 2025-08-26T19:58:25.4062900Z since it does not provide an async_op handle and thus will be a blocking 2025-08-26T19:58:25.4063336Z call. 2025-08-26T19:58:25.4063456Z 2025-08-26T19:58:25.4063703Z .. note:: For NCCL-based processed groups, internal tensor representations 2025-08-26T19:58:25.4064274Z of objects must be moved to the GPU device before communication takes 2025-08-26T19:58:25.4064748Z place. In this case, the device used is given by 2025-08-26T19:58:25.4065229Z ``torch.cuda.current_device()`` and it is the user's responsibility to 2025-08-26T19:58:25.4065780Z ensure that this is set so that each rank has an individual GPU, via 2025-08-26T19:58:25.4066216Z ``torch.cuda.set_device()``. 2025-08-26T19:58:25.4066412Z 2025-08-26T19:58:25.4066516Z .. warning:: 2025-08-26T19:58:25.4066960Z Object collectives have a number of serious performance and scalability 2025-08-26T19:58:25.4067572Z limitations. See :ref:`object_collectives` for details. 2025-08-26T19:58:25.4067859Z 2025-08-26T19:58:25.4067975Z .. warning:: 2025-08-26T19:58:25.4068413Z :func:`gather_object` uses ``pickle`` module implicitly, which is 2025-08-26T19:58:25.4069199Z known to be insecure. It is possible to construct malicious pickle data 2025-08-26T19:58:25.4070224Z which will execute arbitrary code during unpickling. Only call this 2025-08-26T19:58:25.4070780Z function with data you trust. 2025-08-26T19:58:25.4070982Z 2025-08-26T19:58:25.4071088Z .. warning:: 2025-08-26T19:58:25.4071424Z Calling :func:`gather_object` with GPU tensors is not well supported 2025-08-26T19:58:25.4071996Z and inefficient as it incurs GPU -> CPU transfer since tensors would be 2025-08-26T19:58:25.4072525Z pickled. Please consider using :func:`gather` instead. 2025-08-26T19:58:25.4072812Z 2025-08-26T19:58:25.4072921Z Example:: 2025-08-26T19:58:25.4073388Z >>> # xdoctest: +SKIP("need process group init") 2025-08-26T19:58:25.4073817Z >>> # Note: Process group initialization omitted on each rank. 2025-08-26T19:58:25.4074237Z >>> import torch.distributed as dist 2025-08-26T19:58:25.4074577Z >>> # Assumes world_size of 3. 2025-08-26T19:58:25.4074960Z >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object 2025-08-26T19:58:25.4075368Z >>> output = [None for _ in gather_objects] 2025-08-26T19:58:25.4075715Z >>> dist.gather_object( 2025-08-26T19:58:25.4076017Z ... gather_objects[dist.get_rank()], 2025-08-26T19:58:25.4076383Z ... output if dist.get_rank() == 0 else None, 2025-08-26T19:58:25.4076735Z ... dst=0 2025-08-26T19:58:25.4076963Z ... ) 2025-08-26T19:58:25.4077179Z >>> # On rank 0 2025-08-26T19:58:25.4077418Z >>> output 2025-08-26T19:58:25.4077633Z ['foo', 12, {1: 2}] 2025-08-26T19:58:25.4077799Z 2025-08-26T19:58:25.4078054Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.4078442Z 2025-08-26T19:58:25.4079053Z msg = Cannot scrape callname=all_gather in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3798. 2025-08-26T19:58:25.4080008Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.4080385Z 2025-08-26T19:58:25.4080542Z Gathers tensors from the whole group in a list. 2025-08-26T19:58:25.4080793Z 2025-08-26T19:58:25.4080953Z Complex and uneven sized tensors are supported. 2025-08-26T19:58:25.4081231Z 2025-08-26T19:58:25.4081316Z Args: 2025-08-26T19:58:25.4081622Z tensor_list (list[Tensor]): Output list. It should contain 2025-08-26T19:58:25.4082179Z correctly-sized tensors to be used for output of the collective. 2025-08-26T19:58:25.4082638Z Uneven sized tensors are supported. 2025-08-26T19:58:25.4083046Z tensor (Tensor): Tensor to be broadcast from current process. 2025-08-26T19:58:25.4083595Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-26T19:58:25.4084078Z the default process group will be used. 2025-08-26T19:58:25.4084513Z async_op (bool, optional): Whether this op should be an async op 2025-08-26T19:58:25.4084823Z 2025-08-26T19:58:25.4084922Z Returns: 2025-08-26T19:58:25.4085173Z Async work handle, if async_op is set to True. 2025-08-26T19:58:25.4085575Z None, if not async_op or if not part of the group 2025-08-26T19:58:25.4085828Z 2025-08-26T19:58:25.4085929Z Examples: 2025-08-26T19:58:25.4086235Z >>> # xdoctest: +SKIP("need process group init") 2025-08-26T19:58:25.4086609Z >>> # All tensors below are of torch.int64 dtype. 2025-08-26T19:58:25.4086976Z >>> # We have 2 process groups, 2 ranks. 2025-08-26T19:58:25.4087323Z >>> device = torch.device(f"cuda:{rank}") 2025-08-26T19:58:25.4087650Z >>> tensor_list = [ 2025-08-26T19:58:25.4088007Z ... torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2) 2025-08-26T19:58:25.4088512Z ... ] 2025-08-26T19:58:25.4088728Z >>> tensor_list 2025-08-26T19:58:25.4089082Z [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0 2025-08-26T19:58:25.4089589Z [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1 2025-08-26T19:58:25.4090139Z >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank 2025-08-26T19:58:25.4090580Z >>> tensor 2025-08-26T19:58:25.4090837Z tensor([1, 2], device='cuda:0') # Rank 0 2025-08-26T19:58:25.4091169Z tensor([3, 4], device='cuda:1') # Rank 1 2025-08-26T19:58:25.4091515Z >>> dist.all_gather(tensor_list, tensor) 2025-08-26T19:58:25.4091840Z >>> tensor_list 2025-08-26T19:58:25.4092184Z [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0 2025-08-26T19:58:25.4092698Z [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1 2025-08-26T19:58:25.4093012Z 2025-08-26T19:58:25.4093220Z >>> # All tensors below are of torch.cfloat dtype. 2025-08-26T19:58:25.4093601Z >>> # We have 2 process groups, 2 ranks. 2025-08-26T19:58:25.4093923Z >>> tensor_list = [ 2025-08-26T19:58:25.4094308Z ... torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2) 2025-08-26T19:58:25.4094723Z ... ] 2025-08-26T19:58:25.4094946Z >>> tensor_list 2025-08-26T19:58:25.4095355Z [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0 2025-08-26T19:58:25.4095975Z [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1 2025-08-26T19:58:25.4096439Z >>> tensor = torch.tensor( 2025-08-26T19:58:25.4096782Z ... [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device 2025-08-26T19:58:25.4097158Z ... ) + 2 * rank * (1 + 1j) 2025-08-26T19:58:25.4097422Z >>> tensor 2025-08-26T19:58:25.4097697Z tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0 2025-08-26T19:58:25.4098093Z tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1 2025-08-26T19:58:25.4098475Z >>> dist.all_gather(tensor_list, tensor) 2025-08-26T19:58:25.4098784Z >>> tensor_list 2025-08-26T19:58:25.4099180Z [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0 2025-08-26T19:58:25.4099790Z [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1 2025-08-26T19:58:25.4100151Z 2025-08-26T19:58:25.4100156Z 2025-08-26T19:58:25.4100425Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.4100792Z 2025-08-26T19:58:25.4127800Z msg = Cannot scrape callname=all_to_all_single in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4504. 2025-08-26T19:58:25.4128795Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.4129176Z 2025-08-26T19:58:25.4129429Z Split input tensor and then scatter the split list to all processes in a group. 2025-08-26T19:58:25.4129838Z 2025-08-26T19:58:25.4130098Z Later the received tensors are concatenated from all the processes in the group 2025-08-26T19:58:25.4130612Z and returned as a single output tensor. 2025-08-26T19:58:25.4130834Z 2025-08-26T19:58:25.4130958Z Complex tensors are supported. 2025-08-26T19:58:25.4131148Z 2025-08-26T19:58:25.4131244Z Args: 2025-08-26T19:58:25.4131516Z output (Tensor): Gathered concatenated output tensor. 2025-08-26T19:58:25.4131926Z input (Tensor): Input tensor to scatter. 2025-08-26T19:58:25.4132386Z output_split_sizes: (list[Int], optional): Output split sizes for dim 0 2025-08-26T19:58:25.4132941Z if specified None or empty, dim 0 of ``output`` tensor must divide 2025-08-26T19:58:25.4133360Z equally by ``world_size``. 2025-08-26T19:58:25.4133782Z input_split_sizes: (list[Int], optional): Input split sizes for dim 0 2025-08-26T19:58:25.4134322Z if specified None or empty, dim 0 of ``input`` tensor must divide 2025-08-26T19:58:25.4134868Z equally by ``world_size``. 2025-08-26T19:58:25.4135291Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-26T19:58:25.4135776Z the default process group will be used. 2025-08-26T19:58:25.4136221Z async_op (bool, optional): Whether this op should be an async op. 2025-08-26T19:58:25.4136533Z 2025-08-26T19:58:25.4136640Z Returns: 2025-08-26T19:58:25.4136908Z Async work handle, if async_op is set to True. 2025-08-26T19:58:25.4137303Z None, if not async_op or if not part of the group. 2025-08-26T19:58:25.4137574Z 2025-08-26T19:58:25.4137672Z .. warning:: 2025-08-26T19:58:25.4137978Z `all_to_all_single` is experimental and subject to change. 2025-08-26T19:58:25.4138261Z 2025-08-26T19:58:25.4138375Z Examples: 2025-08-26T19:58:25.4138747Z >>> # xdoctest: +SKIP("Undefined rank") 2025-08-26T19:58:25.4139233Z >>> input = torch.arange(4) + rank * 4 2025-08-26T19:58:25.4139760Z >>> input 2025-08-26T19:58:25.4140200Z tensor([0, 1, 2, 3]) # Rank 0 2025-08-26T19:58:25.4140781Z tensor([4, 5, 6, 7]) # Rank 1 2025-08-26T19:58:25.4141078Z tensor([8, 9, 10, 11]) # Rank 2 2025-08-26T19:58:25.4141389Z tensor([12, 13, 14, 15]) # Rank 3 2025-08-26T19:58:25.4141744Z >>> output = torch.empty([4], dtype=torch.int64) 2025-08-26T19:58:25.4142132Z >>> dist.all_to_all_single(output, input) 2025-08-26T19:58:25.4142445Z >>> output 2025-08-26T19:58:25.4142683Z tensor([0, 4, 8, 12]) # Rank 0 2025-08-26T19:58:25.4142984Z tensor([1, 5, 9, 13]) # Rank 1 2025-08-26T19:58:25.4143285Z tensor([2, 6, 10, 14]) # Rank 2 2025-08-26T19:58:25.4143571Z tensor([3, 7, 11, 15]) # Rank 3 2025-08-26T19:58:25.4143777Z 2025-08-26T19:58:25.4143940Z >>> # Essentially, it is similar to following operation: 2025-08-26T19:58:25.4144360Z >>> scatter_list = list(input.chunk(world_size)) 2025-08-26T19:58:25.4144754Z >>> gather_list = list(output.chunk(world_size)) 2025-08-26T19:58:25.4145116Z >>> for i in range(world_size): 2025-08-26T19:58:25.4145542Z >>> dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i) 2025-08-26T19:58:25.4145905Z 2025-08-26T19:58:25.4146021Z >>> # Another example with uneven split 2025-08-26T19:58:25.4146339Z >>> input 2025-08-26T19:58:25.4146626Z tensor([0, 1, 2, 3, 4, 5]) # Rank 0 2025-08-26T19:58:25.4147046Z tensor([10, 11, 12, 13, 14, 15, 16, 17, 18]) # Rank 1 2025-08-26T19:58:25.4147486Z tensor([20, 21, 22, 23, 24]) # Rank 2 2025-08-26T19:58:25.4147930Z tensor([30, 31, 32, 33, 34, 35, 36]) # Rank 3 2025-08-26T19:58:25.4148310Z >>> input_splits 2025-08-26T19:58:25.4148580Z [2, 2, 1, 1] # Rank 0 2025-08-26T19:58:25.4148949Z [3, 2, 2, 2] # Rank 1 2025-08-26T19:58:25.4149325Z [2, 1, 1, 1] # Rank 2 2025-08-26T19:58:25.4149691Z [2, 2, 2, 1] # Rank 3 2025-08-26T19:58:25.4150030Z >>> output_splits 2025-08-26T19:58:25.4150298Z [2, 3, 2, 2] # Rank 0 2025-08-26T19:58:25.4150667Z [2, 2, 1, 2] # Rank 1 2025-08-26T19:58:25.4151034Z [1, 2, 1, 2] # Rank 2 2025-08-26T19:58:25.4151401Z [1, 2, 1, 1] # Rank 3 2025-08-26T19:58:25.4151726Z >>> output = ... 2025-08-26T19:58:25.4152091Z >>> dist.all_to_all_single(output, input, output_splits, input_splits) 2025-08-26T19:58:25.4152507Z >>> output 2025-08-26T19:58:25.4152805Z tensor([ 0, 1, 10, 11, 12, 20, 21, 30, 31]) # Rank 0 2025-08-26T19:58:25.4153375Z tensor([ 2, 3, 13, 14, 22, 32, 33]) # Rank 1 2025-08-26T19:58:25.4153871Z tensor([ 4, 15, 16, 23, 34, 35]) # Rank 2 2025-08-26T19:58:25.4154309Z tensor([ 5, 17, 18, 24, 36]) # Rank 3 2025-08-26T19:58:25.4154802Z 2025-08-26T19:58:25.4154808Z 2025-08-26T19:58:25.4154992Z >>> # Another example with tensors of torch.cfloat type. 2025-08-26T19:58:25.4155386Z >>> input = torch.tensor( 2025-08-26T19:58:25.4155738Z ... [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat 2025-08-26T19:58:25.4156099Z ... ) + 4 * rank * (1 + 1j) 2025-08-26T19:58:25.4156376Z >>> input 2025-08-26T19:58:25.4156690Z tensor([1+1j, 2+2j, 3+3j, 4+4j]) # Rank 0 2025-08-26T19:58:25.4157142Z tensor([5+5j, 6+6j, 7+7j, 8+8j]) # Rank 1 2025-08-26T19:58:25.4157618Z tensor([9+9j, 10+10j, 11+11j, 12+12j]) # Rank 2 2025-08-26T19:58:25.4158217Z tensor([13+13j, 14+14j, 15+15j, 16+16j]) # Rank 3 2025-08-26T19:58:25.4158683Z >>> output = torch.empty([4], dtype=torch.int64) 2025-08-26T19:58:25.4159072Z >>> dist.all_to_all_single(output, input) 2025-08-26T19:58:25.4159386Z >>> output 2025-08-26T19:58:25.4159700Z tensor([1+1j, 5+5j, 9+9j, 13+13j]) # Rank 0 2025-08-26T19:58:25.4160183Z tensor([2+2j, 6+6j, 10+10j, 14+14j]) # Rank 1 2025-08-26T19:58:25.4160661Z tensor([3+3j, 7+7j, 11+11j, 15+15j]) # Rank 2 2025-08-26T19:58:25.4161122Z tensor([4+4j, 8+8j, 12+12j, 16+16j]) # Rank 3 2025-08-26T19:58:25.4161432Z 2025-08-26T19:58:25.4161686Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.4162069Z 2025-08-26T19:58:25.4162635Z msg = Cannot scrape callname=all_to_all in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4646. 2025-08-26T19:58:25.4163610Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.4164002Z 2025-08-26T19:58:25.4164366Z Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list. 2025-08-26T19:58:25.4164854Z 2025-08-26T19:58:25.4164982Z Complex tensors are supported. 2025-08-26T19:58:25.4165174Z 2025-08-26T19:58:25.4165274Z Args: 2025-08-26T19:58:25.4165604Z output_tensor_list (list[Tensor]): List of tensors to be gathered one 2025-08-26T19:58:25.4166042Z per rank. 2025-08-26T19:58:25.4166423Z input_tensor_list (list[Tensor]): List of tensors to scatter one per rank. 2025-08-26T19:58:25.4167016Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-26T19:58:25.4167487Z the default process group will be used. 2025-08-26T19:58:25.4167929Z async_op (bool, optional): Whether this op should be an async op. 2025-08-26T19:58:25.4168258Z 2025-08-26T19:58:25.4168397Z Returns: 2025-08-26T19:58:25.4168667Z Async work handle, if async_op is set to True. 2025-08-26T19:58:25.4169074Z None, if not async_op or if not part of the group. 2025-08-26T19:58:25.4169328Z 2025-08-26T19:58:25.4169439Z .. warning:: 2025-08-26T19:58:25.4169726Z `all_to_all` is experimental and subject to change. 2025-08-26T19:58:25.4169999Z 2025-08-26T19:58:25.4170085Z Examples: 2025-08-26T19:58:25.4170327Z >>> # xdoctest: +SKIP("Undefined rank") 2025-08-26T19:58:25.4170658Z >>> input = torch.arange(4) + rank * 4 2025-08-26T19:58:25.4170988Z >>> input = list(input.chunk(4)) 2025-08-26T19:58:25.4171287Z >>> input 2025-08-26T19:58:25.4171591Z [tensor([0]), tensor([1]), tensor([2]), tensor([3])] # Rank 0 2025-08-26T19:58:25.4172033Z [tensor([4]), tensor([5]), tensor([6]), tensor([7])] # Rank 1 2025-08-26T19:58:25.4172485Z [tensor([8]), tensor([9]), tensor([10]), tensor([11])] # Rank 2 2025-08-26T19:58:25.4172993Z [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3 2025-08-26T19:58:25.4173514Z >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4)) 2025-08-26T19:58:25.4173938Z >>> dist.all_to_all(output, input) 2025-08-26T19:58:25.4174236Z >>> output 2025-08-26T19:58:25.4174544Z [tensor([0]), tensor([4]), tensor([8]), tensor([12])] # Rank 0 2025-08-26T19:58:25.4175001Z [tensor([1]), tensor([5]), tensor([9]), tensor([13])] # Rank 1 2025-08-26T19:58:25.4175452Z [tensor([2]), tensor([6]), tensor([10]), tensor([14])] # Rank 2 2025-08-26T19:58:25.4175890Z [tensor([3]), tensor([7]), tensor([11]), tensor([15])] # Rank 3 2025-08-26T19:58:25.4176183Z 2025-08-26T19:58:25.4176347Z >>> # Essentially, it is similar to following operation: 2025-08-26T19:58:25.4176734Z >>> scatter_list = input 2025-08-26T19:58:25.4177019Z >>> gather_list = output 2025-08-26T19:58:25.4177295Z >>> for i in range(world_size): 2025-08-26T19:58:25.4177875Z >>> dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i) 2025-08-26T19:58:25.4178306Z 2025-08-26T19:58:25.4178395Z >>> input 2025-08-26T19:58:25.4178685Z tensor([0, 1, 2, 3, 4, 5]) # Rank 0 2025-08-26T19:58:25.4179132Z tensor([10, 11, 12, 13, 14, 15, 16, 17, 18]) # Rank 1 2025-08-26T19:58:25.4179563Z tensor([20, 21, 22, 23, 24]) # Rank 2 2025-08-26T19:58:25.4180013Z tensor([30, 31, 32, 33, 34, 35, 36]) # Rank 3 2025-08-26T19:58:25.4180401Z >>> input_splits 2025-08-26T19:58:25.4180686Z [2, 2, 1, 1] # Rank 0 2025-08-26T19:58:25.4181042Z [3, 2, 2, 2] # Rank 1 2025-08-26T19:58:25.4181409Z [2, 1, 1, 1] # Rank 2 2025-08-26T19:58:25.4181775Z [2, 2, 2, 1] # Rank 3 2025-08-26T19:58:25.4182122Z >>> output_splits 2025-08-26T19:58:25.4182390Z [2, 3, 2, 2] # Rank 0 2025-08-26T19:58:25.4182756Z [2, 2, 1, 2] # Rank 1 2025-08-26T19:58:25.4183123Z [1, 2, 1, 2] # Rank 2 2025-08-26T19:58:25.4183489Z [1, 2, 1, 1] # Rank 3 2025-08-26T19:58:25.4183864Z >>> input = list(input.split(input_splits)) 2025-08-26T19:58:25.4184240Z >>> input 2025-08-26T19:58:25.4184803Z [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])] # Rank 0 2025-08-26T19:58:25.4185573Z [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1 2025-08-26T19:58:25.4186110Z [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])] # Rank 2 2025-08-26T19:58:25.4186636Z [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])] # Rank 3 2025-08-26T19:58:25.4187062Z >>> output = ... 2025-08-26T19:58:25.4187332Z >>> dist.all_to_all(output, input) 2025-08-26T19:58:25.4187639Z >>> output 2025-08-26T19:58:25.4187962Z [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])] # Rank 0 2025-08-26T19:58:25.4188494Z [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])] # Rank 1 2025-08-26T19:58:25.4189027Z [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])] # Rank 2 2025-08-26T19:58:25.4189562Z [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])] # Rank 3 2025-08-26T19:58:25.4189884Z 2025-08-26T19:58:25.4190059Z >>> # Another example with tensors of torch.cfloat type. 2025-08-26T19:58:25.4190427Z >>> input = torch.tensor( 2025-08-26T19:58:25.4190757Z ... [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat 2025-08-26T19:58:25.4191166Z ... ) + 4 * rank * (1 + 1j) 2025-08-26T19:58:25.4191516Z >>> input = list(input.chunk(4)) 2025-08-26T19:58:25.4192030Z >>> input 2025-08-26T19:58:25.4192555Z [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])] # Rank 0 2025-08-26T19:58:25.4193413Z [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])] # Rank 1 2025-08-26T19:58:25.4194127Z [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])] # Rank 2 2025-08-26T19:58:25.4194694Z [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])] # Rank 3 2025-08-26T19:58:25.4195219Z >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4)) 2025-08-26T19:58:25.4195647Z >>> dist.all_to_all(output, input) 2025-08-26T19:58:25.4195955Z >>> output 2025-08-26T19:58:25.4196307Z [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])] # Rank 0 2025-08-26T19:58:25.4196846Z [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])] # Rank 1 2025-08-26T19:58:25.4197486Z [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])] # Rank 2 2025-08-26T19:58:25.4198046Z [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])] # Rank 3 2025-08-26T19:58:25.4198379Z 2025-08-26T19:58:25.4198400Z 2025-08-26T19:58:25.4198659Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.4199033Z 2025-08-26T19:58:25.4199686Z msg = Cannot scrape callname=__doc__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/launch.py line=2. 2025-08-26T19:58:25.4200558Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.4200955Z 2025-08-26T19:58:25.4201077Z Module ``torch.distributed.launch``. 2025-08-26T19:58:25.4201294Z 2025-08-26T19:58:25.4201563Z ``torch.distributed.launch`` is a module that spawns up multiple distributed 2025-08-26T19:58:25.4202104Z training processes on each of the training nodes. 2025-08-26T19:58:25.4202368Z 2025-08-26T19:58:25.4202473Z .. warning:: 2025-08-26T19:58:25.4202620Z 2025-08-26T19:58:25.4202876Z This module is going to be deprecated in favor of :ref:`torchrun `. 2025-08-26T19:58:25.4203267Z 2025-08-26T19:58:25.4203506Z The utility can be used for single-node distributed training, in which one or 2025-08-26T19:58:25.4204113Z more processes per node will be spawned. The utility can be used for either 2025-08-26T19:58:25.4204700Z CPU training or GPU training. If the utility is used for GPU training, 2025-08-26T19:58:25.4205278Z each distributed process will be operating on a single GPU. This can achieve 2025-08-26T19:58:25.4205953Z well-improved single-node training performance. It can also be used in 2025-08-26T19:58:25.4206585Z multi-node distributed training, by spawning up multiple processes on each node 2025-08-26T19:58:25.4207219Z for well-improved multi-node distributed training performance as well. 2025-08-26T19:58:25.4207797Z This will especially be beneficial for systems with multiple Infiniband 2025-08-26T19:58:25.4208424Z interfaces that have direct-GPU support, since all of them can be utilized for 2025-08-26T19:58:25.4208926Z aggregated communication bandwidth. 2025-08-26T19:58:25.4209139Z 2025-08-26T19:58:25.4209392Z In both cases of single-node distributed training or multi-node distributed 2025-08-26T19:58:25.4209997Z training, this utility will launch the given number of processes per node 2025-08-26T19:58:25.4210574Z (``--nproc-per-node``). If used for GPU training, this number needs to be less 2025-08-26T19:58:25.4211146Z or equal to the number of GPUs on the current system (``nproc_per_node``), 2025-08-26T19:58:25.4211701Z and each process will be operating on a single GPU from *GPU 0 to 2025-08-26T19:58:25.4212136Z GPU (nproc_per_node - 1)*. 2025-08-26T19:58:25.4212319Z 2025-08-26T19:58:25.4212422Z **How to use this module:** 2025-08-26T19:58:25.4212615Z 2025-08-26T19:58:25.4212765Z 1. Single-Node multi-process distributed training 2025-08-26T19:58:25.4213079Z 2025-08-26T19:58:25.4213209Z :: 2025-08-26T19:58:25.4213318Z 2025-08-26T19:58:25.4213573Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-08-26T19:58:25.4214119Z YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other 2025-08-26T19:58:25.4214540Z arguments of your training script) 2025-08-26T19:58:25.4214786Z 2025-08-26T19:58:25.4214997Z 2. Multi-Node multi-process distributed training: (e.g. two nodes) 2025-08-26T19:58:25.4215337Z 2025-08-26T19:58:25.4215341Z 2025-08-26T19:58:25.4215483Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)* 2025-08-26T19:58:25.4215733Z 2025-08-26T19:58:25.4215830Z :: 2025-08-26T19:58:25.4215940Z 2025-08-26T19:58:25.4216189Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-08-26T19:58:25.4216693Z --nnodes=2 --node-rank=0 --master-addr="192.168.1.1" 2025-08-26T19:58:25.4217183Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2025-08-26T19:58:25.4217736Z and all other arguments of your training script) 2025-08-26T19:58:25.4218002Z 2025-08-26T19:58:25.4218095Z Node 2: 2025-08-26T19:58:25.4218204Z 2025-08-26T19:58:25.4218297Z :: 2025-08-26T19:58:25.4218403Z 2025-08-26T19:58:25.4218638Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-08-26T19:58:25.4219159Z --nnodes=2 --node-rank=1 --master-addr="192.168.1.1" 2025-08-26T19:58:25.4219656Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2025-08-26T19:58:25.4220146Z and all other arguments of your training script) 2025-08-26T19:58:25.4220412Z 2025-08-26T19:58:25.4220575Z 3. To look up what optional arguments this module offers: 2025-08-26T19:58:25.4220861Z 2025-08-26T19:58:25.4220941Z :: 2025-08-26T19:58:25.4221063Z 2025-08-26T19:58:25.4221200Z python -m torch.distributed.launch --help 2025-08-26T19:58:25.4221449Z 2025-08-26T19:58:25.4221468Z 2025-08-26T19:58:25.4221636Z **Important Notices:** 2025-08-26T19:58:25.4221803Z 2025-08-26T19:58:25.4222003Z 1. This utility and multi-process distributed (single-node or 2025-08-26T19:58:25.4222543Z multi-node) GPU training currently only achieves the best performance using 2025-08-26T19:58:25.4223168Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to 2025-08-26T19:58:25.4223645Z use for GPU training. 2025-08-26T19:58:25.4223803Z 2025-08-26T19:58:25.4224035Z 2. In your training program, you must parse the command-line argument: 2025-08-26T19:58:25.4224610Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module. 2025-08-26T19:58:25.4225182Z If your training program uses GPUs, you should ensure that your code only 2025-08-26T19:58:25.4225729Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by: 2025-08-26T19:58:25.4226049Z 2025-08-26T19:58:25.4226158Z Parsing the local_rank argument 2025-08-26T19:58:25.4226349Z 2025-08-26T19:58:25.4226448Z :: 2025-08-26T19:58:25.4226556Z 2025-08-26T19:58:25.4226674Z >>> # xdoctest: +SKIP 2025-08-26T19:58:25.4226930Z >>> import argparse 2025-08-26T19:58:25.4227223Z >>> parser = argparse.ArgumentParser() 2025-08-26T19:58:25.4227655Z >>> parser.add_argument("--local-rank", "--local_rank", type=int) 2025-08-26T19:58:25.4228079Z >>> args = parser.parse_args() 2025-08-26T19:58:25.4228280Z 2025-08-26T19:58:25.4228400Z Set your device to local rank using either 2025-08-26T19:58:25.4228641Z 2025-08-26T19:58:25.4228721Z :: 2025-08-26T19:58:25.4228844Z 2025-08-26T19:58:25.4229040Z >>> torch.cuda.set_device(args.local_rank) # before your code runs 2025-08-26T19:58:25.4229355Z 2025-08-26T19:58:25.4229451Z or 2025-08-26T19:58:25.4229557Z 2025-08-26T19:58:25.4229639Z :: 2025-08-26T19:58:25.4229757Z 2025-08-26T19:58:25.4229888Z >>> with torch.cuda.device(args.local_rank): 2025-08-26T19:58:25.4230234Z >>> # your code to run 2025-08-26T19:58:25.4230507Z >>> ... 2025-08-26T19:58:25.4230699Z 2025-08-26T19:58:25.4230821Z .. versionchanged:: 2.0.0 2025-08-26T19:58:25.4231031Z 2025-08-26T19:58:25.4231275Z The launcher will passes the ``--local-rank=`` argument to your script. 2025-08-26T19:58:25.4231886Z From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the 2025-08-26T19:58:25.4232383Z previously used underscored ``--local_rank``. 2025-08-26T19:58:25.4232634Z 2025-08-26T19:58:25.4232884Z For backward compatibility, it may be necessary for users to handle both 2025-08-26T19:58:25.4233592Z cases in their argument parsing code. This means including both ``"--local-rank"`` 2025-08-26T19:58:25.4234198Z and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is 2025-08-26T19:58:25.4234793Z provided, the launcher will trigger an error: "error: unrecognized arguments: 2025-08-26T19:58:25.4235403Z --local-rank=". For training code that only supports PyTorch 2.0.0+, 2025-08-26T19:58:25.4235907Z including ``"--local-rank"`` should be sufficient. 2025-08-26T19:58:25.4236234Z 2025-08-26T19:58:25.4236468Z 3. In your training program, you are supposed to call the following function 2025-08-26T19:58:25.4237065Z at the beginning to start the distributed backend. It is strongly recommended 2025-08-26T19:58:25.4237665Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work, 2025-08-26T19:58:25.4238197Z but ``env://`` is the one that is officially supported by this module. 2025-08-26T19:58:25.4238500Z 2025-08-26T19:58:25.4238598Z :: 2025-08-26T19:58:25.4238706Z 2025-08-26T19:58:25.4238912Z >>> torch.distributed.init_process_group(backend='YOUR BACKEND', 2025-08-26T19:58:25.4239376Z >>> init_method='env://') 2025-08-26T19:58:25.4239632Z 2025-08-26T19:58:25.4239869Z 4. In your training program, you can either use regular distributed functions 2025-08-26T19:58:25.4240471Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your 2025-08-26T19:58:25.4241045Z training program uses GPUs for training and you would like to use 2025-08-26T19:58:25.4241547Z :func:`torch.nn.parallel.DistributedDataParallel` module, 2025-08-26T19:58:25.4241952Z here is how to configure it. 2025-08-26T19:58:25.4242134Z 2025-08-26T19:58:25.4242223Z :: 2025-08-26T19:58:25.4242329Z 2025-08-26T19:58:25.4242532Z >>> model = torch.nn.parallel.DistributedDataParallel(model, 2025-08-26T19:58:25.4242966Z >>> device_ids=[args.local_rank], 2025-08-26T19:58:25.4243368Z >>> output_device=args.local_rank) 2025-08-26T19:58:25.4243642Z 2025-08-26T19:58:25.4243886Z Please ensure that ``device_ids`` argument is set to be the only GPU device id 2025-08-26T19:58:25.4244492Z that your code will be operating on. This is generally the local rank of the 2025-08-26T19:58:25.4245089Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``, 2025-08-26T19:58:25.4245667Z and ``output_device`` needs to be ``args.local_rank`` in order to use this 2025-08-26T19:58:25.4246102Z utility 2025-08-26T19:58:25.4246234Z 2025-08-26T19:58:25.4246484Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable 2025-08-26T19:58:25.4247075Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with 2025-08-26T19:58:25.4247624Z ``--use-env=True``. You must adjust the subprocess example above to replace 2025-08-26T19:58:25.4248175Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher 2025-08-26T19:58:25.4248670Z will not pass ``--local-rank`` when you specify this flag. 2025-08-26T19:58:25.4248955Z 2025-08-26T19:58:25.4249062Z .. warning:: 2025-08-26T19:58:25.4249290Z 2025-08-26T19:58:25.4249511Z ``local_rank`` is NOT globally unique: it is only unique per process 2025-08-26T19:58:25.4250016Z on a machine. Thus, don't use it to decide if you should, e.g., 2025-08-26T19:58:25.4250451Z write to a networked filesystem. See 2025-08-26T19:58:25.4250949Z https://github.com/pytorch/pytorch/issues/12042 for an example of 2025-08-26T19:58:25.4251496Z how things can go wrong if you don't do this correctly. 2025-08-26T19:58:25.4251775Z 2025-08-26T19:58:25.4251780Z 2025-08-26T19:58:25.4251784Z 2025-08-26T19:58:25.4251787Z 2025-08-26T19:58:25.4252058Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.4252429Z 2025-08-26T19:58:25.4871270Z msg = Cannot scrape callname=init_from_local_shards in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361. 2025-08-26T19:58:25.4872525Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.4872908Z 2025-08-26T19:58:25.4873218Z Creates an :class:`ShardedTensor` from local shards and the global metadata. 2025-08-26T19:58:25.4873740Z Needs to be called on all ranks in an SPMD fashion. 2025-08-26T19:58:25.4874022Z 2025-08-26T19:58:25.4874105Z Args: 2025-08-26T19:58:25.4874696Z local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list 2025-08-26T19:58:25.4875259Z of shards that represent the local shards on this rank. 2025-08-26T19:58:25.4875782Z global_size (int...): a list, tuple, or `torch.Size` of integers defining the 2025-08-26T19:58:25.4876255Z shape of the overall sharded tensor. 2025-08-26T19:58:25.4876480Z 2025-08-26T19:58:25.4876586Z Keyword args: 2025-08-26T19:58:25.4876995Z process_group (ProcessGroup, optional): The process group to work on. If None, 2025-08-26T19:58:25.4877502Z the default process group will be used. 2025-08-26T19:58:25.4877920Z init_rrefs (bool, optional): Whether or not to initialize 2025-08-26T19:58:25.4878423Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2025-08-26T19:58:25.4878951Z Need to initialize the RPC Framework if specified as ``True``. 2025-08-26T19:58:25.4879354Z Default: ``False``. 2025-08-26T19:58:25.4879540Z 2025-08-26T19:58:25.4879635Z Returns: 2025-08-26T19:58:25.4879911Z A :class:`ShardedTensor` object handle on this rank 2025-08-26T19:58:25.4880171Z 2025-08-26T19:58:25.4880175Z 2025-08-26T19:58:25.4880277Z Examples: 2025-08-26T19:58:25.4880659Z Suppose we want construct a sharded tensor on two ranks, global size = (10, 5), 2025-08-26T19:58:25.4881214Z each shard have a (5, 5) local tensor, we can do it like below: 2025-08-26T19:58:25.4881522Z 2025-08-26T19:58:25.4881610Z on rank 0: 2025-08-26T19:58:25.4881871Z >>> # xdoctest: +SKIP("not distributed") 2025-08-26T19:58:25.4882228Z >>> local_shard_metadata = ShardMetadata( 2025-08-26T19:58:25.4882553Z >>> shard_offsets=[0, 0], 2025-08-26T19:58:25.4882856Z >>> shard_lengths=[5, 5], 2025-08-26T19:58:25.4883164Z >>> placement="rank:0/cuda:0" 2025-08-26T19:58:25.4883464Z >>> ) 2025-08-26T19:58:25.4883768Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2025-08-26T19:58:25.4884388Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2025-08-26T19:58:25.4884718Z 2025-08-26T19:58:25.4884806Z on rank 1: 2025-08-26T19:58:25.4885072Z >>> # xdoctest: +SKIP("not distributed") 2025-08-26T19:58:25.4885417Z >>> local_shard_metadata = ShardMetadata( 2025-08-26T19:58:25.4885763Z >>> shard_offsets=[5, 0], 2025-08-26T19:58:25.4886065Z >>> shard_lengths=[5, 5], 2025-08-26T19:58:25.4886372Z >>> placement="rank:1/cuda:1" 2025-08-26T19:58:25.4886658Z >>> ) 2025-08-26T19:58:25.4886973Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2025-08-26T19:58:25.4887485Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2025-08-26T19:58:25.4887793Z 2025-08-26T19:58:25.4888057Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.4888422Z 2025-08-26T19:58:25.4998970Z msg = Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835. 2025-08-26T19:58:25.5000266Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.5000647Z 2025-08-26T19:58:25.5000908Z Initialize a ShardedTensor given only one local tensor, global sharded tensor 2025-08-26T19:58:25.5001413Z size and sharding spec on each rank. 2025-08-26T19:58:25.5001637Z 2025-08-26T19:58:25.5001717Z Args: 2025-08-26T19:58:25.5002062Z local_tensor (Tensor): Single tensor of local shard stored in each rank. 2025-08-26T19:58:25.5002658Z sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): 2025-08-26T19:58:25.5003218Z The specification describing how to shard the Tensor. 2025-08-26T19:58:25.5003677Z global_size (Sequence[int]): Size of the sharded tensor. 2025-08-26T19:58:25.5004216Z process_group (ProcessGroup, optional): The process group to aggregate on. 2025-08-26T19:58:25.5004690Z Default: None 2025-08-26T19:58:25.5005098Z init_rrefs (bool, optional): Whether or not to initialize 2025-08-26T19:58:25.5005674Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2025-08-26T19:58:25.5006404Z Need to initialize the RPC Framework if specified as ``True``. 2025-08-26T19:58:25.5006893Z Default: ``False``. 2025-08-26T19:58:25.5007135Z 2025-08-26T19:58:25.5007221Z Returns: 2025-08-26T19:58:25.5007595Z A :class:`ShardedTensor` sharded based on the given sharding_spec with local 2025-08-26T19:58:25.5008080Z tensor stored in the current rank. 2025-08-26T19:58:25.5008300Z 2025-08-26T19:58:25.5008399Z Examples: 2025-08-26T19:58:25.5008611Z >>> # xdoctest: +SKIP 2025-08-26T19:58:25.5008925Z >>> # All tensors below are of torch.int64 type. 2025-08-26T19:58:25.5009298Z >>> # We have 2 process groups, 2 ranks. 2025-08-26T19:58:25.5009706Z >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank 2025-08-26T19:58:25.5010215Z >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2])) 2025-08-26T19:58:25.5010622Z >>> local_tensor 2025-08-26T19:58:25.5010887Z tensor([[1, 2, 3, 4]]) # Rank 0 2025-08-26T19:58:25.5011192Z tensor([[3, 4, 5, 6]]) # Rank 1 2025-08-26T19:58:25.5011486Z >>> sharding_dim = 0 2025-08-26T19:58:25.5011808Z >>> sharding_spec = ChunkShardingSpec( 2025-08-26T19:58:25.5012127Z dim=sharding_dim, 2025-08-26T19:58:25.5012411Z placements=[ 2025-08-26T19:58:25.5012683Z "rank:0/cuda:0", 2025-08-26T19:58:25.5012971Z "rank:1/cuda:1", 2025-08-26T19:58:25.5013234Z ], 2025-08-26T19:58:25.5013471Z ) 2025-08-26T19:58:25.5013730Z >>> st = ShardedTensor._init_from_local_tensor( 2025-08-26T19:58:25.5014110Z ... local_tensor, sharding_spec, [2, 4] 2025-08-26T19:58:25.5014425Z ... ) 2025-08-26T19:58:25.5014640Z >>> st 2025-08-26T19:58:25.5014865Z ShardedTensor( 2025-08-26T19:58:25.5015133Z ShardedTensorMetadata( 2025-08-26T19:58:25.5015426Z shards_metadata=[ 2025-08-26T19:58:25.5015892Z ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0), 2025-08-26T19:58:25.5016556Z ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1), 2025-08-26T19:58:25.5017042Z ], 2025-08-26T19:58:25.5017384Z size=torch.Size([2, 4]) 2025-08-26T19:58:25.5017681Z ) 2025-08-26T19:58:25.5017905Z >>> st.local_tensor() 2025-08-26T19:58:25.5018183Z tensor([1, 2, 3, 4]) # Rank 0 2025-08-26T19:58:25.5018463Z tensor([3, 4, 5, 6]) # Rank 1 2025-08-26T19:58:25.5018668Z 2025-08-26T19:58:25.5018937Z Warning: This API is experimental and subject to change. It lacks of a fully across 2025-08-26T19:58:25.5019582Z rank validations, and we only validate the local shard on the current rank. 2025-08-26T19:58:25.5020175Z We fully rely on the user to ensure local tensor is sharded based on the 2025-08-26T19:58:25.5020670Z sharding spec. 2025-08-26T19:58:25.5020894Z 2025-08-26T19:58:25.5021152Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.5021540Z 2025-08-26T19:58:25.5022227Z msg = Cannot scrape callname=ShardedTensor.reshard in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076. 2025-08-26T19:58:25.5023286Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.5023666Z 2025-08-26T19:58:25.5023935Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support 2025-08-26T19:58:25.5024411Z single local shard. 2025-08-26T19:58:25.5024559Z 2025-08-26T19:58:25.5024781Z If ``resharding_spec`` is same as the original one, this becomes a no-op. 2025-08-26T19:58:25.5025430Z If only ``resharding_spec`` shares the same sharding dim with the original one, 2025-08-26T19:58:25.5025905Z we swap local shards directly. 2025-08-26T19:58:25.5026459Z For more generic cases, we merge different shards across different ranks and split 2025-08-26T19:58:25.5027090Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API. 2025-08-26T19:58:25.5027477Z 2025-08-26T19:58:25.5027559Z Args: 2025-08-26T19:58:25.5027971Z resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The 2025-08-26T19:58:25.5028556Z specification describing how the tensor is sharded. 2025-08-26T19:58:25.5028833Z 2025-08-26T19:58:25.5028936Z Returns: 2025-08-26T19:58:25.5029253Z A :class:`ShardedTensor` object whose local shards are resharded. 2025-08-26T19:58:25.5029587Z 2025-08-26T19:58:25.5029676Z Examples: 2025-08-26T19:58:25.5029912Z >>> # xdoctest: +SKIP 2025-08-26T19:58:25.5030211Z >>> # We have 2 process groups, 2 ranks. 2025-08-26T19:58:25.5030607Z >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank 2025-08-26T19:58:25.5031028Z >>> tensor = torch.stack([tensor, tensor]) 2025-08-26T19:58:25.5031354Z >>> tensor 2025-08-26T19:58:25.5031673Z tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0 2025-08-26T19:58:25.5032012Z tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1 2025-08-26T19:58:25.5032360Z tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2 2025-08-26T19:58:25.5032714Z tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3 2025-08-26T19:58:25.5033120Z >>> sharding_dim = 0 2025-08-26T19:58:25.5033399Z >>> spec = ChunkShardingSpec( 2025-08-26T19:58:25.5033714Z dim=sharding_dim, 2025-08-26T19:58:25.5034005Z placements=[ 2025-08-26T19:58:25.5034282Z "rank:0/cuda:0", 2025-08-26T19:58:25.5034563Z "rank:1/cuda:1", 2025-08-26T19:58:25.5034854Z "rank:2/cuda:2", 2025-08-26T19:58:25.5035138Z "rank:3/cuda:3", 2025-08-26T19:58:25.5035407Z ], 2025-08-26T19:58:25.5035612Z ) 2025-08-26T19:58:25.5035836Z >>> current_offsets = [0] * 2 2025-08-26T19:58:25.5036146Z >>> current_offsets[0] = rank * 2 2025-08-26T19:58:25.5036477Z >>> shard_metadata = ShardMetadata( 2025-08-26T19:58:25.5036836Z shard_offsets=copy.deepcopy(current_offsets), 2025-08-26T19:58:25.5037209Z shard_sizes=tensor.size(), 2025-08-26T19:58:25.5037549Z placement=spec.placements[rank], 2025-08-26T19:58:25.5037866Z ) 2025-08-26T19:58:25.5038069Z >>> local_shards = [ 2025-08-26T19:58:25.5038324Z Shard( 2025-08-26T19:58:25.5038564Z tensor=tensor, 2025-08-26T19:58:25.5038856Z metadata=shard_metadata, 2025-08-26T19:58:25.5039144Z ) 2025-08-26T19:58:25.5039362Z ] 2025-08-26T19:58:25.5039715Z >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size()) 2025-08-26T19:58:25.5040169Z >>> sharding_dim = 1 2025-08-26T19:58:25.5040451Z >>> resharding_spec = ChunkShardingSpec( 2025-08-26T19:58:25.5040789Z dim=sharding_dim, 2025-08-26T19:58:25.5041124Z placements=[ 2025-08-26T19:58:25.5041401Z "rank:0/cuda:0", 2025-08-26T19:58:25.5041710Z "rank:1/cuda:1", 2025-08-26T19:58:25.5041996Z "rank:2/cuda:2", 2025-08-26T19:58:25.5042277Z "rank:3/cuda:3", 2025-08-26T19:58:25.5042549Z ], 2025-08-26T19:58:25.5042755Z ) 2025-08-26T19:58:25.5042989Z >>> st.reshard(resharding_spec) 2025-08-26T19:58:25.5043313Z >>> tensor = st.local_shards()[0].tensor 2025-08-26T19:58:25.5043628Z >>> tensor 2025-08-26T19:58:25.5043894Z tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0 2025-08-26T19:58:25.5044300Z tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1 2025-08-26T19:58:25.5044698Z tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2 2025-08-26T19:58:25.5045094Z tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3 2025-08-26T19:58:25.5045345Z 2025-08-26T19:58:25.5045598Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.5046074Z 2025-08-26T19:58:25.5199846Z msg = Cannot scrape callname=ShardingPlan in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12. 2025-08-26T19:58:25.5201297Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.5201834Z 2025-08-26T19:58:25.5202058Z Representation of a sharding plan, describes how to shard a module 2025-08-26T19:58:25.5202702Z across hosts. `plan` is used to shard module parameters according to the spec provided, 2025-08-26T19:58:25.5203399Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output 2025-08-26T19:58:25.5204075Z layout of a module with a spec, and when to convert back to data parallel fashion. 2025-08-26T19:58:25.5204443Z 2025-08-26T19:58:25.5204530Z Args: 2025-08-26T19:58:25.5204930Z plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`, 2025-08-26T19:58:25.5205513Z :class:`torch.distributed._shard.sharder.Sharder`]): 2025-08-26T19:58:25.5206087Z a dict describes how to shard a module, there're currently two ways to shard a module: 2025-08-26T19:58:25.5206728Z 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of 2025-08-26T19:58:25.5207353Z a parameter to a `ShardingSpec`. 2025-08-26T19:58:25.5207862Z 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module 2025-08-26T19:58:25.5208355Z to a `Sharder` object. 2025-08-26T19:58:25.5208913Z output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional): 2025-08-26T19:58:25.5209625Z a dict specifies the layout of a module's output which produces a ShardedTensor, 2025-08-26T19:58:25.5210255Z keyed by the name of module to ShardingSpec("" in key means the root module). 2025-08-26T19:58:25.5210725Z Default: `None` 2025-08-26T19:58:25.5211158Z return_local_tensor (List[str], optional): a list of string, each element enables 2025-08-26T19:58:25.5211772Z a module's sharded output to be returned as a Tensor from its local shards to 2025-08-26T19:58:25.5212395Z ensure further processing in a data parallel fashion. ("" in list means the 2025-08-26T19:58:25.5212869Z root module). 2025-08-26T19:58:25.5213120Z Default: None 2025-08-26T19:58:25.5213356Z Example: 2025-08-26T19:58:25.5213766Z Suppose we want to shard a module with two linear layers and then run it with DDP, we also 2025-08-26T19:58:25.5214459Z want to convert the output of the second linear layer back to DDP, we can do it as follows: 2025-08-26T19:58:25.5214863Z 2025-08-26T19:58:25.5215047Z >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d) 2025-08-26T19:58:25.5215443Z >>> class MyModule(nn.Module): 2025-08-26T19:58:25.5215752Z >>> def __init__(self) -> None: 2025-08-26T19:58:25.5216068Z >>> super().__init__() 2025-08-26T19:58:25.5216467Z >>> self.fc1 = nn.Linear() 2025-08-26T19:58:25.5216838Z >>> self.gelu = nn.GELU() 2025-08-26T19:58:25.5217137Z >>> self.fc2 = nn.Linear() 2025-08-26T19:58:25.5217451Z >>> self.relu = nn.Linear() 2025-08-26T19:58:25.5217749Z >>> 2025-08-26T19:58:25.5217979Z >>> def forward(self, input): 2025-08-26T19:58:25.5218347Z >>> return self.relu(self.fc2(self.gelu(self.fc1(input)))) 2025-08-26T19:58:25.5218648Z 2025-08-26T19:58:25.5218653Z 2025-08-26T19:58:25.5218785Z >>> # xdoctest: +SKIP("Undefined spec1, spec2) 2025-08-26T19:58:25.5219147Z >>> sharding_plan = ShardingPlan( 2025-08-26T19:58:25.5219458Z >>> plan={ 2025-08-26T19:58:25.5219693Z >>> "fc1.weight": spec1, 2025-08-26T19:58:25.5220007Z >>> "fc2.weight": spec2 2025-08-26T19:58:25.5220296Z >>> }, 2025-08-26T19:58:25.5220527Z >>> output_plan={ 2025-08-26T19:58:25.5220787Z >>> "fc2": output_spec 2025-08-26T19:58:25.5221073Z >>> }, 2025-08-26T19:58:25.5221377Z >>> return_local_tensor=["fc2"] 2025-08-26T19:58:25.5221683Z >>> ) 2025-08-26T19:58:25.5221800Z 2025-08-26T19:58:25.5222052Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.5222439Z 2025-08-26T19:58:25.6128682Z msg = Cannot scrape callname=post_localSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72. 2025-08-26T19:58:25.6129847Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.6130235Z 2025-08-26T19:58:25.6130366Z Run post-localSGD algorithm. 2025-08-26T19:58:25.6130560Z 2025-08-26T19:58:25.6130820Z This DDP communication hook is used for running post-localSGD algorithm, 2025-08-26T19:58:25.6131332Z by combining with a model averaging component (e.g., 2025-08-26T19:58:25.6131947Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`) 2025-08-26T19:58:25.6132551Z that runs after the optimizer step. 2025-08-26T19:58:25.6132774Z 2025-08-26T19:58:25.6132874Z Args: 2025-08-26T19:58:25.6133218Z state (PostLocalSGDState): State information to run post-localSGD. 2025-08-26T19:58:25.6133893Z Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD. 2025-08-26T19:58:25.6134725Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2025-08-26T19:58:25.6135528Z Note that since DDP comm hook only supports single process single device mode, 2025-08-26T19:58:25.6136066Z only exactly one tensor is stored in this bucket. 2025-08-26T19:58:25.6136328Z 2025-08-26T19:58:25.6136415Z Returns: 2025-08-26T19:58:25.6136791Z Future handler of the communication, which updates the gradients in place. 2025-08-26T19:58:25.6137166Z 2025-08-26T19:58:25.6137276Z Example:: 2025-08-26T19:58:25.6137505Z >>> # xdoctest: +SKIP 2025-08-26T19:58:25.6137937Z >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup, 2025-08-26T19:58:25.6138438Z start_localSGD_iter=10) 2025-08-26T19:58:25.6138847Z >>> ddp_model.register_comm_hook(state, post_localSGD_hook) 2025-08-26T19:58:25.6139478Z >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``. 2025-08-26T19:58:25.6140286Z >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module. 2025-08-26T19:58:25.6140752Z 2025-08-26T19:58:25.6141005Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.6141387Z 2025-08-26T19:58:25.6182069Z msg = Cannot scrape callname=powerSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342. 2025-08-26T19:58:25.6183174Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.6183749Z 2025-08-26T19:58:25.6183939Z Implement PowerSGD algorithm. 2025-08-26T19:58:25.6184136Z 2025-08-26T19:58:25.6184376Z This DDP communication hook implements PowerSGD gradient compression 2025-08-26T19:58:25.6184982Z algorithm described in the `paper `_. 2025-08-26T19:58:25.6185584Z Once gradient tensors are aggregated across all workers, this hook applies 2025-08-26T19:58:25.6186075Z compression as follows: 2025-08-26T19:58:25.6186254Z 2025-08-26T19:58:25.6186694Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups: 2025-08-26T19:58:25.6187251Z 2025-08-26T19:58:25.6187688Z 1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth. 2025-08-26T19:58:25.6188231Z 2025-08-26T19:58:25.6188655Z 1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases). 2025-08-26T19:58:25.6189186Z 2025-08-26T19:58:25.6189407Z 2. Handles uncompressed tensors: 2025-08-26T19:58:25.6189611Z 2025-08-26T19:58:25.6190128Z 2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression; 2025-08-26T19:58:25.6190828Z 2025-08-26T19:58:25.6191171Z 2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor. 2025-08-26T19:58:25.6191648Z 2025-08-26T19:58:25.6191883Z 3. Handles the tensors that should be compressed by PowerSGD compression: 2025-08-26T19:58:25.6192235Z 2025-08-26T19:58:25.6192493Z 3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M, 2025-08-26T19:58:25.6193239Z such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized; 2025-08-26T19:58:25.6193670Z 2025-08-26T19:58:25.6193833Z 3.2. Computes each P in Ps, which is equal to MQ; 2025-08-26T19:58:25.6194096Z 2025-08-26T19:58:25.6194209Z 3.3. Allreduces Ps as a batch; 2025-08-26T19:58:25.6194431Z 2025-08-26T19:58:25.6194550Z 3.4. Orthogonalizes each P in Ps; 2025-08-26T19:58:25.6194784Z 2025-08-26T19:58:25.6194978Z 3.5. Computes each Q in Qs, which is approximately equal to M^TP; 2025-08-26T19:58:25.6195287Z 2025-08-26T19:58:25.6195406Z 3.6. Allreduces Qs as a batch; 2025-08-26T19:58:25.6195605Z 2025-08-26T19:58:25.6195915Z 3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T. 2025-08-26T19:58:25.6196330Z 2025-08-26T19:58:25.6196739Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations. 2025-08-26T19:58:25.6197566Z This not only gives the user more control over the tradeoff between speedup and accuracy, 2025-08-26T19:58:25.6198412Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers. 2025-08-26T19:58:25.6198965Z 2025-08-26T19:58:25.6199060Z Args: 2025-08-26T19:58:25.6199625Z state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc. 2025-08-26T19:58:25.6200532Z To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter`` 2025-08-26T19:58:25.6201131Z and ``min_compression_rate``. 2025-08-26T19:58:25.6201770Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2025-08-26T19:58:25.6202565Z Note that since DDP comm hook only supports single process single device mode, 2025-08-26T19:58:25.6203088Z only exactly one tensor is stored in this bucket. 2025-08-26T19:58:25.6203348Z 2025-08-26T19:58:25.6203434Z Returns: 2025-08-26T19:58:25.6203807Z Future handler of the communication, which updates the gradients in place. 2025-08-26T19:58:25.6204181Z 2025-08-26T19:58:25.6204279Z Example:: 2025-08-26T19:58:25.6204559Z >>> # xdoctest: +SKIP 2025-08-26T19:58:25.6205037Z >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1, 2025-08-26T19:58:25.6205602Z start_powerSGD_iter=10, min_compression_rate=0.5) 2025-08-26T19:58:25.6206053Z >>> ddp_model.register_comm_hook(state, powerSGD_hook) 2025-08-26T19:58:25.6206325Z 2025-08-26T19:58:25.6206591Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.6206961Z 2025-08-26T19:58:25.6227877Z msg = Cannot scrape callname=PeriodicModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38. 2025-08-26T19:58:25.6229031Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.6229412Z 2025-08-26T19:58:25.6229601Z Averages parameters periodically after the warm-up stage. 2025-08-26T19:58:25.6229915Z 2025-08-26T19:58:25.6230297Z This can be used for running `post-local SGD `_, 2025-08-26T19:58:25.6230886Z by running :class:`~torch.nn.DistributedDataParallel` (DDP) 2025-08-26T19:58:25.6231456Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`. 2025-08-26T19:58:25.6231814Z 2025-08-26T19:58:25.6231914Z Args: 2025-08-26T19:58:25.6232192Z period (int): The number of steps per model averaging. 2025-08-26T19:58:25.6232746Z Usually the period should be greater than ``1`` to reduce the communication cost. 2025-08-26T19:58:25.6233336Z Otherwise, only DDP needs to be used. 2025-08-26T19:58:25.6233903Z warmup_steps (int): The number of warm-up steps. During this stage, 2025-08-26T19:58:25.6234341Z model averaging is skipped. 2025-08-26T19:58:25.6234778Z process_group: The process group to be used for all-reduce. 2025-08-26T19:58:25.6235237Z If ``None``, the default process group, which 2025-08-26T19:58:25.6235708Z is created by :func:`torch.distributed.init_process_group`, 2025-08-26T19:58:25.6236149Z will be used. (default: ``None``) 2025-08-26T19:58:25.6236380Z 2025-08-26T19:58:25.6236478Z Example:: 2025-08-26T19:58:25.6236615Z 2025-08-26T19:58:25.6236741Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:25.6253775Z >>> import torch 2025-08-26T19:58:25.6254253Z >>> import torch.distributed as dist 2025-08-26T19:58:25.6255388Z >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD 2025-08-26T19:58:25.6256182Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2025-08-26T19:58:25.6256693Z >>> import torch.nn as nn 2025-08-26T19:58:25.6256987Z >>> 2025-08-26T19:58:25.6257291Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2025-08-26T19:58:25.6257699Z >>> torch.cuda.set_device(rank) 2025-08-26T19:58:25.6258042Z >>> module = nn.Linear(1, 1, bias=False).cuda() 2025-08-26T19:58:25.6258450Z >>> model = nn.parallel.DistributedDataParallel( 2025-08-26T19:58:25.6258866Z >>> module, device_ids=[rank], output_device=rank 2025-08-26T19:58:25.6259210Z >>> ) 2025-08-26T19:58:25.6259473Z >>> # Register a post-localSGD communication hook. 2025-08-26T19:58:25.6260017Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2025-08-26T19:58:25.6260629Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-08-26T19:58:25.6260997Z >>> 2025-08-26T19:58:25.6261382Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2025-08-26T19:58:25.6261919Z >>> # After 100 steps, run model averaging every 4 steps. 2025-08-26T19:58:25.6262518Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-08-26T19:58:25.6263211Z >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2025-08-26T19:58:25.6263830Z >>> for step in range(0, 200): 2025-08-26T19:58:25.6264229Z >>> optimizer.zero_grad() 2025-08-26T19:58:25.6264529Z >>> loss = loss_fn(output, labels) 2025-08-26T19:58:25.6264858Z >>> loss.backward() 2025-08-26T19:58:25.6265141Z >>> optimizer.step() 2025-08-26T19:58:25.6265521Z >>> # Will average model parameters globally every 4 steps. Thus, 2025-08-26T19:58:25.6266029Z >>> # inter-node communication only occurs every 4 iterations after 2025-08-26T19:58:25.6266483Z >>> # the initial ``warmup_steps`` period. 2025-08-26T19:58:25.6266882Z >>> averager.average_parameters(model.parameters()) 2025-08-26T19:58:25.6267156Z 2025-08-26T19:58:25.6267420Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.6267790Z 2025-08-26T19:58:25.6268694Z msg = Cannot scrape callname=HierarchicalModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19. 2025-08-26T19:58:25.6270019Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.6270401Z 2025-08-26T19:58:25.6270766Z Runs hierarchical model averaging (`hierarchical SGD `_). 2025-08-26T19:58:25.6271224Z 2025-08-26T19:58:25.6271534Z Process groups of different sizes are organized in a hierarchy, and they average parameters 2025-08-26T19:58:25.6272325Z by using different periods concurrently after the warm-up stage. 2025-08-26T19:58:25.6273402Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager` 2025-08-26T19:58:25.6274280Z that supports `post-local SGD `_, which essentially only supports 2025-08-26T19:58:25.6275060Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine 2025-08-26T19:58:25.6275834Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`. 2025-08-26T19:58:25.6276621Z Similarly, the process groups within this class do not have such an intra-machine process 2025-08-26T19:58:25.6277329Z subgroup, which should be embedded by the post-local SGD communication hook instead. 2025-08-26T19:58:25.6277726Z 2025-08-26T19:58:25.6277823Z Args: 2025-08-26T19:58:25.6278217Z period_group_size_dict: An ordered dict mapping keys of model averaging period to 2025-08-26T19:58:25.6278811Z process group size, used for initializing process groups of 2025-08-26T19:58:25.6279374Z different sizes in a hierarchy to average parameters concurrently. 2025-08-26T19:58:25.6279942Z Particularly, at each iteration, there will be at most a single 2025-08-26T19:58:25.6280516Z process group that runs averaging -- the period of such group should 2025-08-26T19:58:25.6281074Z have the largest period which the current step can be divided by. 2025-08-26T19:58:25.6281592Z For example, if the dict has three keys: 2, 4, and 8, 2025-08-26T19:58:25.6282089Z then this means totally three process groups will be created to 2025-08-26T19:58:25.6282633Z average parameters every 2, 4, and 8 iterations, respectively. 2025-08-26T19:58:25.6283160Z At the 4th iteration, only the second process group will run 2025-08-26T19:58:25.6283641Z averaging, because the first process group should be a 2025-08-26T19:58:25.6284165Z subset of the second process group, and no need to execute the first 2025-08-26T19:58:25.6284634Z process group redundantly. 2025-08-26T19:58:25.6285074Z On the other hand, the third process group can only be triggered 2025-08-26T19:58:25.6285672Z every 8 iterations, so it will not be triggered at the 4th iteration. 2025-08-26T19:58:25.6286619Z warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped. 2025-08-26T19:58:25.6287501Z process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging. 2025-08-26T19:58:25.6288251Z If ``None``, the default process group, which is created 2025-08-26T19:58:25.6288762Z by :func:`torch.distributed.init_process_group`, will be used. 2025-08-26T19:58:25.6289221Z (default: ``None``) 2025-08-26T19:58:25.6289457Z 2025-08-26T19:58:25.6289553Z Example:: 2025-08-26T19:58:25.6289803Z >>> # xdoctest: +SKIP('undefined rank') 2025-08-26T19:58:25.6290159Z >>> from collections import OrderedDict 2025-08-26T19:58:25.6290492Z >>> import torch 2025-08-26T19:58:25.6290755Z >>> import torch.distributed as dist 2025-08-26T19:58:25.6291331Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2025-08-26T19:58:25.6291841Z >>> PostLocalSGDState, 2025-08-26T19:58:25.6292142Z >>> post_localSGD_hook, 2025-08-26T19:58:25.6292404Z >>> ) 2025-08-26T19:58:25.6292914Z >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD 2025-08-26T19:58:25.6293545Z >>> import torch.nn as nn 2025-08-26T19:58:25.6293825Z >>> 2025-08-26T19:58:25.6294116Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2025-08-26T19:58:25.6294528Z >>> torch.cuda.set_device(rank) 2025-08-26T19:58:25.6294883Z >>> module = nn.Linear(1, 1, bias=False).to(rank) 2025-08-26T19:58:25.6295298Z >>> model = nn.parallel.DistributedDataParallel( 2025-08-26T19:58:25.6295696Z >>> module, device_ids=[rank], output_device=rank 2025-08-26T19:58:25.6296049Z >>> ) 2025-08-26T19:58:25.6296347Z >>> # Register a post-localSGD communication hook. 2025-08-26T19:58:25.6296900Z >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4. 2025-08-26T19:58:25.6297412Z >>> subgroup, _ = dist.new_subgroups() 2025-08-26T19:58:25.6297966Z >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100) 2025-08-26T19:58:25.6298581Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-08-26T19:58:25.6298955Z >>> 2025-08-26T19:58:25.6299368Z >>> # Average parameters among each group of 8 processes every 4 iterations, and among all 2025-08-26T19:58:25.6299893Z >>> # the 16 processes every 16 iterations. 2025-08-26T19:58:25.6300323Z >>> averager = hierarchicalSGD.HierarchicalModelAverager( 2025-08-26T19:58:25.6300862Z >>> period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100) 2025-08-26T19:58:25.6301547Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-08-26T19:58:25.6302250Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2025-08-26T19:58:25.6302805Z >>> # After 100 steps, run model averaging at two levels. 2025-08-26T19:58:25.6303184Z >>> for step in range(0, 200): 2025-08-26T19:58:25.6303504Z >>> optimizer.zero_grad() 2025-08-26T19:58:25.6303817Z >>> loss = loss_fn(output, labels) 2025-08-26T19:58:25.6304128Z >>> loss.backward() 2025-08-26T19:58:25.6304401Z >>> optimizer.step() 2025-08-26T19:58:25.6304730Z >>> # Average parameters after ``optimizer.step()``. 2025-08-26T19:58:25.6305289Z >>> # Thus, the inter-node communication only occurs periodically after ``warmup_steps``. 2025-08-26T19:58:25.6305848Z >>> averager.average_parameters(model.parameters()) 2025-08-26T19:58:25.6306131Z 2025-08-26T19:58:25.6306224Z .. warning :: 2025-08-26T19:58:25.6306619Z The last group size in the dict must be the size of the provided ``process_group``, 2025-08-26T19:58:25.6307395Z which indicates model averaging at the highest level of the hierarchy. 2025-08-26T19:58:25.6308076Z If ``process_group`` is not provided, then the last group size should be equal to the world size. 2025-08-26T19:58:25.6308515Z 2025-08-26T19:58:25.6308607Z .. warning :: 2025-08-26T19:58:25.6308981Z `HierarchicalModelAverager` is experimental and subject to change. 2025-08-26T19:58:25.6309329Z 2025-08-26T19:58:25.6309594Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.6309961Z 2025-08-26T19:58:25.6773525Z msg = Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=40. 2025-08-26T19:58:25.6774669Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.6775059Z 2025-08-26T19:58:25.6775368Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint 2025-08-26T19:58:25.6776250Z on the coordinator rank, and then broadcast and shard each tensor to all ranks. 2025-08-26T19:58:25.6776783Z 2025-08-26T19:58:25.6776954Z . N.B. Intended to be used with DynamicMetaLoadPlanner 2025-08-26T19:58:25.6777332Z 2025-08-26T19:58:25.6777516Z .. warning:: 2025-08-26T19:58:25.6777876Z Current implementation only supports loading Tensors. 2025-08-26T19:58:25.6778159Z 2025-08-26T19:58:25.6778290Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:25.6778597Z >>> sd = {"mode": model} 2025-08-26T19:58:25.6778856Z >>> dcp.load( 2025-08-26T19:58:25.6779081Z >>> sd, 2025-08-26T19:58:25.6779367Z >>> storage_reader=BroadcastingTorchSaveReader(), 2025-08-26T19:58:25.6779744Z >>> planner=DynamicMetaLoadPlanner(), 2025-08-26T19:58:25.6780095Z >>> checkpoint_id="path_to_model.pt" 2025-08-26T19:58:25.6780402Z >>> ) 2025-08-26T19:58:25.6780515Z 2025-08-26T19:58:25.6780780Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.6781153Z 2025-08-26T19:58:25.6781881Z msg = Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=151. 2025-08-26T19:58:25.6782931Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.6783321Z 2025-08-26T19:58:25.6783689Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict, 2025-08-26T19:58:25.6784509Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a 2025-08-26T19:58:25.6785079Z metadata file, like Torch Save files. 2025-08-26T19:58:25.6785290Z 2025-08-26T19:58:25.6785485Z . N.B. Intended to be used with BroadcastingTorchSaveReader 2025-08-26T19:58:25.6785775Z 2025-08-26T19:58:25.6785866Z .. warning:: 2025-08-26T19:58:25.6786178Z Current implementation only supports loading Tensors. 2025-08-26T19:58:25.6786475Z 2025-08-26T19:58:25.6786588Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:25.6786913Z >>> sd = {"mode": model} 2025-08-26T19:58:25.6787157Z >>> dcp.load( 2025-08-26T19:58:25.6787383Z >>> sd, 2025-08-26T19:58:25.6787665Z >>> storage_reader=BroadcastingTorchSaveReader(), 2025-08-26T19:58:25.6788060Z >>> planner=DynamicMetaLoadPlanner(), 2025-08-26T19:58:25.6788395Z >>> checkpoint_id="path_to_model.pt" 2025-08-26T19:58:25.6788705Z >>> ) 2025-08-26T19:58:25.6788834Z 2025-08-26T19:58:25.6789090Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.6789461Z 2025-08-26T19:58:25.6899859Z msg = Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/optimizer.py line=221. 2025-08-26T19:58:25.6900969Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.6901355Z 2025-08-26T19:58:25.6901577Z Load a state_dict in conjunction with FSDP sharded optimizer state. 2025-08-26T19:58:25.6902097Z 2025-08-26T19:58:25.6902281Z This is the current recommended way to checkpoint FSDP. 2025-08-26T19:58:25.6902650Z >>> # xdoctest: +SKIP 2025-08-26T19:58:25.6902970Z >>> import torch.distributed.checkpoint as dist_cp 2025-08-26T19:58:25.6903322Z >>> # Save 2025-08-26T19:58:25.6903559Z >>> model: torch.nn.Model 2025-08-26T19:58:25.6903857Z >>> optim_params = model.parameters() 2025-08-26T19:58:25.6904229Z >>> optim = torch.optim.SGD(optim_params, lr=0.01) 2025-08-26T19:58:25.6904563Z >>> # Save 2025-08-26T19:58:25.6904911Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT): 2025-08-26T19:58:25.6905352Z >>> state_dict = { 2025-08-26T19:58:25.6905676Z >>> "optimizer": FSDP.optim_state_dict(model, optim), 2025-08-26T19:58:25.6906047Z >>> "model": model.state_dict() 2025-08-26T19:58:25.6906362Z >>> } 2025-08-26T19:58:25.6906467Z >>> dist_cp.save_state_dict( 2025-08-26T19:58:25.6906590Z >>> state_dict=optim_state, 2025-08-26T19:58:25.6906857Z >>> storage_writer=dist_cp.FileSystemWriter("checkpoint"), 2025-08-26T19:58:25.6907012Z >>> planner=dist_cp.DefaultSavePlanner(), 2025-08-26T19:58:25.6907096Z >>> ) 2025-08-26T19:58:25.6907180Z >>> 2025-08-26T19:58:25.6907283Z >>> # Load 2025-08-26T19:58:25.6907508Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT): 2025-08-26T19:58:25.6907652Z >>> model_state_dict = model_tp.state_dict() 2025-08-26T19:58:25.6907749Z >>> checkpoint = { 2025-08-26T19:58:25.6907855Z >>> "model": model_state_dict 2025-08-26T19:58:25.6907955Z >>> } 2025-08-26T19:58:25.6908058Z >>> dist_cp.load_state_dict( 2025-08-26T19:58:25.6908159Z >>> state_dict=checkpoint, 2025-08-26T19:58:25.6908364Z >>> storage_reader=dist_cp.FileSystemReader(checkpoint_file), 2025-08-26T19:58:25.6908496Z >>> planner=dist_cp.DefaultLoadPlanner(), 2025-08-26T19:58:25.6908595Z >>> ) 2025-08-26T19:58:25.6908747Z >>> model.load_state_dict(checkpoint["model_state"]) 2025-08-26T19:58:25.6908867Z >>> 2025-08-26T19:58:25.6909041Z >>> optim_state = dist_cp.load_sharded_optimizer_state_dict( 2025-08-26T19:58:25.6909139Z >>> model_state_dict, 2025-08-26T19:58:25.6909263Z >>> optimizer_key="optimizer", 2025-08-26T19:58:25.6909439Z >>> storage_reader=dist_cp.FileSystemReader("checkpoint"), 2025-08-26T19:58:25.6909523Z >>> ) 2025-08-26T19:58:25.6909621Z >>> 2025-08-26T19:58:25.6909764Z >>> flattened_osd = FSDP.optim_state_dict_to_load( 2025-08-26T19:58:25.6909909Z >>> model, optim, optim_state["optimizer"] 2025-08-26T19:58:25.6909991Z >>> ) 2025-08-26T19:58:25.6910075Z >>> 2025-08-26T19:58:25.6910210Z >>> optim.load_state_dict(flattened_osd) 2025-08-26T19:58:25.6910215Z 2025-08-26T19:58:25.6910468Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.6910473Z 2025-08-26T19:58:25.6929527Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-08-26T19:58:25.6930031Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.6930038Z 2025-08-26T19:58:25.6930341Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-08-26T19:58:25.6930346Z 2025-08-26T19:58:25.6930646Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-08-26T19:58:25.6930651Z 2025-08-26T19:58:25.6930949Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-26T19:58:25.6931065Z will be visible to the whole process. 2025-08-26T19:58:25.6931070Z 2025-08-26T19:58:25.6931347Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-08-26T19:58:25.6931366Z 2025-08-26T19:58:25.6931487Z 1) set_up_planner - called on all ranks. 2025-08-26T19:58:25.6931610Z Signals the start of a checkpoint save. 2025-08-26T19:58:25.6931689Z 2025-08-26T19:58:25.6931873Z 2) create_local_plan - called on all ranks. 2025-08-26T19:58:25.6932159Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-08-26T19:58:25.6932163Z 2025-08-26T19:58:25.6932359Z 3) create_global_plan - called on the coordinator rank only. 2025-08-26T19:58:25.6932554Z Takes the SavePlan from all ranks and make any global decision. 2025-08-26T19:58:25.6932559Z 2025-08-26T19:58:25.6932670Z 4) finish_plan - called on all ranks. 2025-08-26T19:58:25.6932904Z This gives each rank a chance to adjust to global planning decisions. 2025-08-26T19:58:25.6932908Z 2025-08-26T19:58:25.6933063Z 5) resolve_data - called multiple times on each rank 2025-08-26T19:58:25.6933279Z Lookups a value on the `state_dict` for the storage layer to write. 2025-08-26T19:58:25.6933283Z 2025-08-26T19:58:25.6933584Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-08-26T19:58:25.6933847Z most changes can be expressed by changes in a single method. 2025-08-26T19:58:25.6933854Z 2025-08-26T19:58:25.6933976Z There are 3 usual patterns of extension: 2025-08-26T19:58:25.6933981Z 2025-08-26T19:58:25.6934272Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-08-26T19:58:25.6934498Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-08-26T19:58:25.6934502Z 2025-08-26T19:58:25.6934630Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:25.6934766Z >>> class RenamePlanner(DefaultSavePlanner): 2025-08-26T19:58:25.6934868Z >>> def set_up_planner( 2025-08-26T19:58:25.6934970Z >>> self, 2025-08-26T19:58:25.6935080Z >>> state_dict: STATE_DICT_TYPE, 2025-08-26T19:58:25.6935223Z >>> storage_meta: Optional[StorageMeta], 2025-08-26T19:58:25.6935328Z >>> is_coordinator: bool, 2025-08-26T19:58:25.6935420Z >>> ) -> None: 2025-08-26T19:58:25.6935543Z >>> # prefix all keys with `foo_`` 2025-08-26T19:58:25.6935897Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-08-26T19:58:25.6935908Z 2025-08-26T19:58:25.6936414Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-08-26T19:58:25.6936420Z 2025-08-26T19:58:25.6936535Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:25.6936662Z >>> class FP16Planner(DefaultSavePlanner): 2025-08-26T19:58:25.6936786Z >>> def create_local_plan(self): 2025-08-26T19:58:25.6936904Z >>> plan = super().create_local_plan() 2025-08-26T19:58:25.6937044Z >>> for p in plan: 2025-08-26T19:58:25.6937214Z >>> if p.tensor_data is not None: 2025-08-26T19:58:25.6937455Z >>> p.tensor_data.properties.dtype = torch.float16 2025-08-26T19:58:25.6937609Z >>> return plan 2025-08-26T19:58:25.6937749Z >>> 2025-08-26T19:58:25.6937981Z >>> def resolve_data(self, write_item): 2025-08-26T19:58:25.6938225Z >>> item = super().resolve_data(write_item) 2025-08-26T19:58:25.6938659Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-08-26T19:58:25.6938665Z 2025-08-26T19:58:25.6939022Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-08-26T19:58:25.6939027Z 2025-08-26T19:58:25.6939137Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:25.6939263Z >>> from itertools import zip_longest 2025-08-26T19:58:25.6939372Z >>> from dataclasses import replace 2025-08-26T19:58:25.6939540Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-08-26T19:58:25.6939826Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-08-26T19:58:25.6939955Z >>> # This sample doesn't handle ShardedTensors 2025-08-26T19:58:25.6940095Z >>> def create_global_plan(self, all_plans): 2025-08-26T19:58:25.6940242Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-08-26T19:58:25.6940397Z >>> items_per_rank = [ 2025-08-26T19:58:25.6940586Z >>> [item for item in items if item is not None] 2025-08-26T19:58:25.6940744Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-08-26T19:58:25.6940846Z >>> ] 2025-08-26T19:58:25.6940942Z >>> all_plans = [ 2025-08-26T19:58:25.6941056Z >>> replace(plan, items=items) 2025-08-26T19:58:25.6941262Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-08-26T19:58:25.6941347Z >>> ] 2025-08-26T19:58:25.6941502Z >>> return super().create_global_plan(all_plans) 2025-08-26T19:58:25.6941507Z 2025-08-26T19:58:25.6941772Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-08-26T19:58:25.6942043Z accomplished by having each rank contribute their data items in the local plan and 2025-08-26T19:58:25.6942176Z the global planner aggregate them: 2025-08-26T19:58:25.6942182Z 2025-08-26T19:58:25.6942292Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:25.6942516Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-08-26T19:58:25.6942644Z >>> def create_local_plan(self) -> SavePlan: 2025-08-26T19:58:25.6942778Z >>> plan = super().create_local_plan() 2025-08-26T19:58:25.6942938Z >>> return replace(plan, planner_data="per-rank-data") 2025-08-26T19:58:25.6943022Z >>> 2025-08-26T19:58:25.6943331Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-08-26T19:58:25.6943528Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-08-26T19:58:25.6943697Z >>> merged_data = [p.planner_data for p in global_plan] 2025-08-26T19:58:25.6943866Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-08-26T19:58:25.6943975Z >>> return global_plan, metadata 2025-08-26T19:58:25.6943979Z 2025-08-26T19:58:25.6944242Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.6944249Z 2025-08-26T19:58:25.6944892Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-08-26T19:58:25.6945151Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.6945155Z 2025-08-26T19:58:25.6945441Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-08-26T19:58:25.6945446Z 2025-08-26T19:58:25.6945745Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-08-26T19:58:25.6945749Z 2025-08-26T19:58:25.6946023Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-26T19:58:25.6946154Z will be visible to the whole process. 2025-08-26T19:58:25.6946158Z 2025-08-26T19:58:25.6946433Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-08-26T19:58:25.6946439Z 2025-08-26T19:58:25.6946572Z 1) set_up_planner - called on all ranks. 2025-08-26T19:58:25.6946707Z Signals the start of loading a checkpoint. 2025-08-26T19:58:25.6946712Z 2025-08-26T19:58:25.6946833Z 2) create_local_plan - called on all ranks. 2025-08-26T19:58:25.6947130Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-08-26T19:58:25.6947135Z 2025-08-26T19:58:25.6947316Z 3) create_global_plan - called on the coordinator rank only. 2025-08-26T19:58:25.6947527Z Takes the LoadPlan from all ranks and make any global decision. 2025-08-26T19:58:25.6947532Z 2025-08-26T19:58:25.6947674Z 4) load_bytes - called multiple times on each rank 2025-08-26T19:58:25.6947859Z This is called once per non-tensor value in state_dict. 2025-08-26T19:58:25.6947863Z 2025-08-26T19:58:25.6948088Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-08-26T19:58:25.6948268Z They are called in pair for each Tensor value in state_dict. 2025-08-26T19:58:25.6948300Z 2025-08-26T19:58:25.6948626Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-08-26T19:58:25.6948850Z most changes can be expressed by changes in a single method. 2025-08-26T19:58:25.6948855Z 2025-08-26T19:58:25.6949000Z There are two usual patterns of extension: 2025-08-26T19:58:25.6949005Z 2025-08-26T19:58:25.6949259Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-08-26T19:58:25.6949530Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-08-26T19:58:25.6949756Z to keep a reference to the original state_dict as load happens in place so 2025-08-26T19:58:25.6949875Z we need to be able to perform it in place 2025-08-26T19:58:25.6949880Z 2025-08-26T19:58:25.6950005Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:25.6950137Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-08-26T19:58:25.6950251Z >>> def set_up_planner( 2025-08-26T19:58:25.6950338Z >>> self, 2025-08-26T19:58:25.6950445Z >>> state_dict: STATE_DICT_TYPE, 2025-08-26T19:58:25.6950612Z >>> metadata: Metadata, 2025-08-26T19:58:25.6950718Z >>> is_coordinator: bool, 2025-08-26T19:58:25.6950819Z >>> ) -> None: 2025-08-26T19:58:25.6950944Z >>> self.original_state_dict = state_dict 2025-08-26T19:58:25.6951117Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-08-26T19:58:25.6951211Z >>> 2025-08-26T19:58:25.6951328Z >>> if self.flatten_sharded_tensors: 2025-08-26T19:58:25.6951494Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-08-26T19:58:25.6951575Z >>> 2025-08-26T19:58:25.6951682Z >>> if self.flatten_state_dict: 2025-08-26T19:58:25.6951878Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-08-26T19:58:25.6951960Z >>> 2025-08-26T19:58:25.6952068Z >>> self.state_dict = state_dict 2025-08-26T19:58:25.6952185Z >>> self.metadata = metadata 2025-08-26T19:58:25.6952308Z >>> self.is_coordinator = is_coordinator 2025-08-26T19:58:25.6952410Z >>> 2025-08-26T19:58:25.6952529Z >>> def load_bytes(self, read_item, value): 2025-08-26T19:58:25.6952633Z >>> # Remove the "foo_" prefix 2025-08-26T19:58:25.6952972Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-08-26T19:58:25.6952977Z 2025-08-26T19:58:25.6952981Z 2025-08-26T19:58:25.6953324Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-08-26T19:58:25.6953329Z 2025-08-26T19:58:25.6953459Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:25.6953614Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-08-26T19:58:25.6953746Z >>> def resolve_tensor(self, read_item): 2025-08-26T19:58:25.6953878Z >>> tensor = super().resolve_tensor(read_item) 2025-08-26T19:58:25.6954024Z >>> return torch.empty_like(tensor, device="cpu") 2025-08-26T19:58:25.6954122Z >>> 2025-08-26T19:58:25.6954252Z >>> def commit_tensor(self, read_item, tensor): 2025-08-26T19:58:25.6954431Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-08-26T19:58:25.6954436Z 2025-08-26T19:58:25.6954872Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.6954877Z 2025-08-26T19:58:25.7137850Z msg = Cannot scrape callname=get_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py line=1118. 2025-08-26T19:58:25.7138128Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.7138151Z 2025-08-26T19:58:25.7138321Z Return the model state_dict and optimizers state_dict. 2025-08-26T19:58:25.7138326Z 2025-08-26T19:58:25.7138550Z ``get_state_dict`` can process any module that is parallelized by PyTorch 2025-08-26T19:58:25.7138823Z FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any 2025-08-26T19:58:25.7139075Z combination of these parallelisms. The main functions of ``get_state_dict`` 2025-08-26T19:58:25.7139546Z are: 1.) returning a model and optimizer state_dict that can be resharded 2025-08-26T19:58:25.7139841Z with a different number of trainers and/or different parallelisms. 2025-08-26T19:58:25.7140091Z 2.) hiding the parallelism-specific state_dict APIs. Users don't have to call 2025-08-26T19:58:25.7140195Z these APIs. 2025-08-26T19:58:25.7140315Z 3.) sanity checking the result state_dict. 2025-08-26T19:58:25.7140321Z 2025-08-26T19:58:25.7140548Z The keys of the result state dictionary are the canonical FQNs (Fully 2025-08-26T19:58:25.7140782Z Qualified Names). A canonical FQN refers to the FQN based on a parameter's 2025-08-26T19:58:25.7141018Z position in an nn.Module hierarchy. More specifically, a canonical FQN to a 2025-08-26T19:58:25.7141242Z parameter is the FQN returned by ``module.named_parameters()`` or 2025-08-26T19:58:25.7141449Z ``module.named_buffers()`` when the module is not distributed by any 2025-08-26T19:58:25.7141723Z parallelisms. Since the optimizer internally uses parameter IDs to represent 2025-08-26T19:58:25.7142037Z a parameter, there will be a conversion from the parameter IDs to the 2025-08-26T19:58:25.7142173Z canonical FQNs when calling this API. 2025-08-26T19:58:25.7142178Z 2025-08-26T19:58:25.7142397Z ``get_state_dict`` can also process a module that is not parallelized. In 2025-08-26T19:58:25.7142621Z such a case, ``get_state_dict`` only performs one function -- converting the 2025-08-26T19:58:25.7142778Z optimizer parameter IDs to the canonical FQNs. 2025-08-26T19:58:25.7142782Z 2025-08-26T19:58:25.7142868Z Example: 2025-08-26T19:58:25.7142982Z >>> # xdoctest: +SKIP 2025-08-26T19:58:25.7143072Z >>> import torch 2025-08-26T19:58:25.7143309Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-26T19:58:25.7143525Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2025-08-26T19:58:25.7143771Z >>> from torch.distributed.checkpoint.state_dict import get_state_dict 2025-08-26T19:58:25.7143778Z 2025-08-26T19:58:25.7143942Z >>> fsdp_model = FSDP(copy.deepcopy(model)) 2025-08-26T19:58:25.7144128Z >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3) 2025-08-26T19:58:25.7144265Z >>> ddp_model = DDP(copy.deepcopy(model)) 2025-08-26T19:58:25.7144447Z >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3) 2025-08-26T19:58:25.7144452Z 2025-08-26T19:58:25.7144456Z 2025-08-26T19:58:25.7144689Z >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim) 2025-08-26T19:58:25.7144871Z >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict( 2025-08-26T19:58:25.7144977Z ... fsdp_model, fsdp_optim 2025-08-26T19:58:25.7145075Z ... ) 2025-08-26T19:58:25.7145080Z 2025-08-26T19:58:25.7145294Z >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(), 2025-08-26T19:58:25.7145399Z >>> # the asserts will fail. 2025-08-26T19:58:25.7145543Z >>> assert ddp_state_dict == fsdp_state_dict 2025-08-26T19:58:25.7145694Z >>> assert ddp_optim_state == fsdp_optim_state_dict 2025-08-26T19:58:25.7145702Z 2025-08-26T19:58:25.7145705Z 2025-08-26T19:58:25.7145800Z Args: 2025-08-26T19:58:25.7145941Z model (nn.Module): the nn.Module to the model. 2025-08-26T19:58:25.7146142Z optimizers (Union[None, Optimizer, Iterable[Optimizer]]): 2025-08-26T19:58:25.7146301Z The optimizers that are used to optimize ``model``. 2025-08-26T19:58:25.7146578Z submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters 2025-08-26T19:58:25.7146707Z that belong to the submodules. 2025-08-26T19:58:25.7146875Z options (StateDictOptions): the options to control how 2025-08-26T19:58:25.7147096Z model state_dict and optimizer state_dict should be returned. See 2025-08-26T19:58:25.7147214Z `StateDictOptions` for the details. 2025-08-26T19:58:25.7147219Z 2025-08-26T19:58:25.7147303Z Returns: 2025-08-26T19:58:25.7147509Z ``Tuple`` that contain model state_dict and optimizer state_dict. 2025-08-26T19:58:25.7147571Z 2025-08-26T19:58:25.7147805Z :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType] 2025-08-26T19:58:25.7147809Z 2025-08-26T19:58:25.7148074Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.7148078Z 2025-08-26T19:58:25.7182295Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=69. 2025-08-26T19:58:25.7182601Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.7182626Z 2025-08-26T19:58:25.7182829Z Load a checkpoint into a distributed state dict in SPMD style. 2025-08-26T19:58:25.7182835Z 2025-08-26T19:58:25.7183060Z Each rank must have the same keys in their ``state_dict`` provided to this 2025-08-26T19:58:25.7183308Z API. Mismatched keys may result in hangs or errors. If unsure, you can use 2025-08-26T19:58:25.7183538Z the ``utils._assert_same_keys`` API to check (but may incur communication 2025-08-26T19:58:25.7183797Z costs). 2025-08-26T19:58:25.7183803Z 2025-08-26T19:58:25.7183989Z Each rank will try to read the least amount of data necessary 2025-08-26T19:58:25.7184224Z to fulfill the requested `state_dict`. When loading :class:`ShardedTensor` 2025-08-26T19:58:25.7184489Z or :class:`DTensor` instances, each rank only reads data for their local shards. 2025-08-26T19:58:25.7184493Z 2025-08-26T19:58:25.7184753Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2025-08-26T19:58:25.7185026Z load will first call ``state_dict`` before attempting deserialization, followed by 2025-08-26T19:58:25.7185193Z ``load_state_dict`` once the deserialization is complete. 2025-08-26T19:58:25.7185472Z For each non-``Stateful`` object, load will deserialize the object, and then replace 2025-08-26T19:58:25.7185622Z it in the ``state_dict`` with the deserialized object. 2025-08-26T19:58:25.7185627Z 2025-08-26T19:58:25.7185736Z .. warning:: 2025-08-26T19:58:25.7185922Z All tensors in ``state_dict`` must be allocated on their 2025-08-26T19:58:25.7186089Z destination device *prior to* calling this function. 2025-08-26T19:58:25.7186093Z 2025-08-26T19:58:25.7186333Z All non-tensor data is loaded using `torch.load()` and modified in place 2025-08-26T19:58:25.7186425Z on state_dict. 2025-08-26T19:58:25.7186430Z 2025-08-26T19:58:25.7186517Z .. warning:: 2025-08-26T19:58:25.7186733Z Users must call `load_state_dict` on the root module to ensure load 2025-08-26T19:58:25.7186915Z pos-processing and non-tensor data properly propagates. 2025-08-26T19:58:25.7186920Z 2025-08-26T19:58:25.7187018Z .. note: 2025-08-26T19:58:25.7187241Z If no process group is initialized, this function will assume the intent 2025-08-26T19:58:25.7187465Z is to load a checkpoint into the local process. This can be useful in the 2025-08-26T19:58:25.7187728Z case of local inference, and when using regular Tensors (as opposed to DTensor 2025-08-26T19:58:25.7187828Z or ShardedTensor) 2025-08-26T19:58:25.7187839Z 2025-08-26T19:58:25.7187940Z .. note: 2025-08-26T19:58:25.7188076Z Rank 0 is assumed to be the coordinator rank. 2025-08-26T19:58:25.7188081Z 2025-08-26T19:58:25.7188165Z Args: 2025-08-26T19:58:25.7188390Z state_dict (Dict[str, Any]): The state_dict to load the checkpoint into. 2025-08-26T19:58:25.7188533Z checkpoint_id (Union[str, os.PathLike, None]): 2025-08-26T19:58:25.7188755Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-08-26T19:58:25.7188956Z depends on the storage. It can be a path to a folder or to a file. 2025-08-26T19:58:25.7189135Z It can also be a key if the storage is a key-value store. 2025-08-26T19:58:25.7189232Z (Default: ``None``) 2025-08-26T19:58:25.7189361Z storage_reader (Optional[StorageReader]): 2025-08-26T19:58:25.7189578Z Instance of StorageWriter used to perform reads. If this is not 2025-08-26T19:58:25.7189829Z specified, DCP will automatically infer the reader based on the 2025-08-26T19:58:25.7190087Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-08-26T19:58:25.7190195Z be raised. (Default: ``None``) 2025-08-26T19:58:25.7190308Z planner (Optional[LoadPlanner]): 2025-08-26T19:58:25.7190521Z Instance of LoadPlanner. If this is not specified, the default 2025-08-26T19:58:25.7190647Z planner will be used. (Default: ``None``) 2025-08-26T19:58:25.7190789Z process_group (Optional[ProcessGroup]): 2025-08-26T19:58:25.7190970Z ProcessGroup to be used for cross-rank synchronization. 2025-08-26T19:58:25.7191066Z (Default: ``None``) 2025-08-26T19:58:25.7191293Z no_dist (bool): If ``True``, this function will assume the intent is to load 2025-08-26T19:58:25.7191548Z a checkpoint without using cross-rank synchronization. (Default: ``False``) 2025-08-26T19:58:25.7191652Z Returns: 2025-08-26T19:58:25.7191740Z None. 2025-08-26T19:58:25.7191745Z 2025-08-26T19:58:25.7191829Z Examples 2025-08-26T19:58:25.7192009Z >>> # xdoctest: +SKIP 2025-08-26T19:58:25.7192112Z >>> my_model = MyModule() 2025-08-26T19:58:25.7192248Z >>> optimizer = Adagrad(my_model.parameters()) 2025-08-26T19:58:25.7192384Z >>> model_state_dict = my_model.state_dict() 2025-08-26T19:58:25.7192618Z >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader( 2025-08-26T19:58:25.7192730Z ... "/checkpoint/1" 2025-08-26T19:58:25.7192813Z ... ) 2025-08-26T19:58:25.7192818Z 2025-08-26T19:58:25.7192973Z >>> torch.distributed.checkpoint.load_state_dict( 2025-08-26T19:58:25.7193181Z >>> state_dict=model_state_dict, 2025-08-26T19:58:25.7193298Z >>> storage_reader=fs_storage_reader, 2025-08-26T19:58:25.7193398Z >>> ) 2025-08-26T19:58:25.7193402Z 2025-08-26T19:58:25.7193601Z >>> # module.load_state_dict() function might have customized steps 2025-08-26T19:58:25.7193728Z >>> # to flush the state_dict, must call it to 2025-08-26T19:58:25.7193855Z >>> # ensure correct behavior. 2025-08-26T19:58:25.7193984Z >>> my_model.load_state_dict(model_state_dict) 2025-08-26T19:58:25.7193988Z 2025-08-26T19:58:25.7194096Z .. note:: 2025-08-26T19:58:25.7194308Z load_state_dict uses collectives to coordinate reads across ranks. 2025-08-26T19:58:25.7194539Z For NCCL-based process groups, internal tensor representations of 2025-08-26T19:58:25.7194769Z objects must be moved to the GPU device before communication takes place. 2025-08-26T19:58:25.7194990Z In this case, the device used is given by ``torch.cuda.current_device()`` 2025-08-26T19:58:25.7195230Z and it is the user's responsibility to ensure that this is set so that each 2025-08-26T19:58:25.7195413Z rank has an individual GPU, via ``torch.cuda.set_device()``. 2025-08-26T19:58:25.7195417Z 2025-08-26T19:58:25.7195681Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.7195687Z 2025-08-26T19:58:25.7219460Z msg = Cannot scrape callname=save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=97. 2025-08-26T19:58:25.7219838Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.7219844Z 2025-08-26T19:58:25.7219964Z Save a distributed model in SPMD style. 2025-08-26T19:58:25.7219968Z 2025-08-26T19:58:25.7220157Z This function is different from ``torch.save()`` as it handles 2025-08-26T19:58:25.7220431Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards. 2025-08-26T19:58:25.7220435Z 2025-08-26T19:58:25.7220692Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2025-08-26T19:58:25.7220855Z save will call ``state_dict`` before serialization. 2025-08-26T19:58:25.7220859Z 2025-08-26T19:58:25.7220951Z .. warning:: 2025-08-26T19:58:25.7221204Z There is no guarantees of Backwards Compatibility across PyTorch versions 2025-08-26T19:58:25.7221398Z for saved state_dicts. 2025-08-26T19:58:25.7221439Z 2025-08-26T19:58:25.7221545Z .. warning:: 2025-08-26T19:58:25.7221758Z If using the `process_group` argument, make sure that only its ranks 2025-08-26T19:58:25.7221965Z call `save_state_dict` and that all data in state_dict belong to it. 2025-08-26T19:58:25.7221987Z 2025-08-26T19:58:25.7222076Z .. note:: 2025-08-26T19:58:25.7222340Z When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of 2025-08-26T19:58:25.7222615Z the shard_group should be calling `save_state_dict` and the corresponding process 2025-08-26T19:58:25.7222724Z group needs to be passed in. 2025-08-26T19:58:25.7222729Z 2025-08-26T19:58:25.7222831Z .. note:: 2025-08-26T19:58:25.7223101Z If no process group is available, this function assumes the intention is to save the 2025-08-26T19:58:25.7223215Z state_dict in the local process. 2025-08-26T19:58:25.7223220Z 2025-08-26T19:58:25.7223321Z .. note: 2025-08-26T19:58:25.7223471Z Rank 0 is assumed to be the coordinator rank. 2025-08-26T19:58:25.7223541Z 2025-08-26T19:58:25.7223546Z 2025-08-26T19:58:25.7223643Z Args: 2025-08-26T19:58:25.7223797Z state_dict (Dict[str, Any]): The state_dict to save. 2025-08-26T19:58:25.7223940Z checkpoint_id (Union[str, os.PathLike, None]): 2025-08-26T19:58:25.7224164Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-08-26T19:58:25.7224367Z depends on the storage. It can be a path to a folder or to a file. 2025-08-26T19:58:25.7224549Z It can also be a key if the storage is a key-value store. 2025-08-26T19:58:25.7224646Z (Default: ``None``) 2025-08-26T19:58:25.7224823Z storage_writer (Optional[StorageWriter]): 2025-08-26T19:58:25.7225175Z Instance of StorageWriter used to perform writes. If this is not 2025-08-26T19:58:25.7225488Z specified, DCP will automatically infer the writer based on the 2025-08-26T19:58:25.7225743Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-08-26T19:58:25.7225879Z be raised. (Default: ``None``) 2025-08-26T19:58:25.7226037Z planner (Optional[SavePlanner]): 2025-08-26T19:58:25.7226295Z Instance of SavePlanner. If this is not specified, the default 2025-08-26T19:58:25.7226463Z planner will be used. (Default: ``None``) 2025-08-26T19:58:25.7226654Z process_group (Optional[ProcessGroup]): 2025-08-26T19:58:25.7226984Z ProcessGroup to be used for cross-rank synchronization. 2025-08-26T19:58:25.7227165Z (Default: ``None``) 2025-08-26T19:58:25.7227339Z no_dist (bool): 2025-08-26T19:58:25.7227647Z If ``True``, this function will assume the intent is to load 2025-08-26T19:58:25.7227775Z a checkpoint on a single rank/process. 2025-08-26T19:58:25.7227890Z (Default: ``False``) 2025-08-26T19:58:25.7228146Z use_collectives (bool): If ``False``, this function will assume the intent is to save 2025-08-26T19:58:25.7228326Z a checkpoint without using cross-rank synchronization. 2025-08-26T19:58:25.7228448Z (Default: ``True``) 2025-08-26T19:58:25.7228675Z This configuration is experimental and should be used with caution. 2025-08-26T19:58:25.7228964Z It will change the format of the saved checkpoint and may not be backward compatible. 2025-08-26T19:58:25.7228969Z 2025-08-26T19:58:25.7229056Z Returns: 2025-08-26T19:58:25.7229216Z Metadata: Metadata object for the saved checkpoint. 2025-08-26T19:58:25.7229239Z 2025-08-26T19:58:25.7229328Z Example: 2025-08-26T19:58:25.7229429Z >>> # xdoctest: +SKIP 2025-08-26T19:58:25.7229546Z >>> my_model = MyModule() 2025-08-26T19:58:25.7229551Z 2025-08-26T19:58:25.7229662Z >>> state_dict = {"model": my_model} 2025-08-26T19:58:25.7229667Z 2025-08-26T19:58:25.7229915Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter( 2025-08-26T19:58:25.7230014Z ... "/checkpoint/1" 2025-08-26T19:58:25.7230099Z ... ) 2025-08-26T19:58:25.7230309Z >>> torch.distributed.checkpoint.save( 2025-08-26T19:58:25.7230452Z >>> state_dict=state_dict, 2025-08-26T19:58:25.7230588Z >>> storage_writer=fs_storage_writer, 2025-08-26T19:58:25.7230672Z >>> ) 2025-08-26T19:58:25.7230677Z 2025-08-26T19:58:25.7230766Z .. note:: 2025-08-26T19:58:25.7230997Z save_state_dict uses collectives to coordinate writes across ranks. 2025-08-26T19:58:25.7231212Z For NCCL-based process groups, internal tensor representations of 2025-08-26T19:58:25.7231460Z objects must be moved to the GPU device before communication takes place. 2025-08-26T19:58:25.7231684Z In this case, the device used is given by ``torch.cuda.current_device()`` 2025-08-26T19:58:25.7231888Z and it is the user's responsibility to ensure that this is set so that 2025-08-26T19:58:25.7232101Z each rank has an individual GPU, via ``torch.cuda.set_device()``. 2025-08-26T19:58:25.7232106Z 2025-08-26T19:58:25.7232358Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.7232364Z 2025-08-26T19:58:25.7233198Z msg = Cannot scrape callname=async_save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=230. 2025-08-26T19:58:25.7233463Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.7233745Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the 2025-08-26T19:58:25.7234035Z staging storage (defaults to CPU memory), and then calls the `save` in a separate thread. 2025-08-26T19:58:25.7234040Z 2025-08-26T19:58:25.7234152Z .. warning:: 2025-08-26T19:58:25.7234315Z This feature is experimental and subject to change. 2025-08-26T19:58:25.7234459Z MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED 2025-08-26T19:58:25.7234480Z 2025-08-26T19:58:25.7234563Z Args: 2025-08-26T19:58:25.7234717Z state_dict (Dict[str, Any]): The state_dict to save. 2025-08-26T19:58:25.7234880Z checkpoint_id (Union[str, os.PathLike, None]): 2025-08-26T19:58:25.7235096Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-08-26T19:58:25.7235314Z depends on the storage. It can be a path to a folder or to a file. 2025-08-26T19:58:25.7235478Z It can also be a key if the storage is a key-value store. 2025-08-26T19:58:25.7235578Z (Default: ``None``) 2025-08-26T19:58:25.7235722Z storage_writer (Optional[StorageWriter]): 2025-08-26T19:58:25.7235933Z Instance of StorageWriter used to perform 'stage' and 'save'. If 2025-08-26T19:58:25.7236183Z this is not specified, DCP will automatically infer the writer based on the 2025-08-26T19:58:25.7236386Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-08-26T19:58:25.7236498Z be raised. (Default: ``None``) 2025-08-26T19:58:25.7236628Z planner (Optional[SavePlanner]): 2025-08-26T19:58:25.7236828Z Instance of SavePlanner. If this is not specified, the default 2025-08-26T19:58:25.7236976Z planner will be used. (Default: ``None``) 2025-08-26T19:58:25.7237135Z process_group (Optional[ProcessGroup]): 2025-08-26T19:58:25.7237317Z ProcessGroup to be used for cross-rank synchronization. 2025-08-26T19:58:25.7237426Z (Default: ``None``) 2025-08-26T19:58:25.7237583Z async_checkpointer_type (AsyncCheckpointerType): 2025-08-26T19:58:25.7237768Z whether to do checkpoint in separate thread or process 2025-08-26T19:58:25.7237911Z (Default: ``AsyncCheckpointerType.THREAD``) 2025-08-26T19:58:25.7238017Z async_stager (AsyncStager): 2025-08-26T19:58:25.7238291Z provides staging implementation. If storage_writer implements AsyncStager 2025-08-26T19:58:25.7238504Z and async_stager is provided, async_stager will be used for staging 2025-08-26T19:58:25.7238616Z no_dist (bool): 2025-08-26T19:58:25.7238838Z If ``True``, this function will assume the intent is to save 2025-08-26T19:58:25.7238998Z a checkpoint on a single rank/process. 2025-08-26T19:58:25.7239115Z (Default: ``False``) 2025-08-26T19:58:25.7239429Z use_collectives: If False, Save the checkpoint without rank coordination. (Default: ``True``) 2025-08-26T19:58:25.7239670Z This configuration is experimental and should be used with caution. 2025-08-26T19:58:25.7239943Z It will change the format of the saved checkpoint and may not be backward compatible. 2025-08-26T19:58:25.7239948Z 2025-08-26T19:58:25.7240036Z Returns: 2025-08-26T19:58:25.7240264Z Future: A future holding the resultant Metadata object from `save`. 2025-08-26T19:58:25.7240269Z 2025-08-26T19:58:25.7240354Z Example: 2025-08-26T19:58:25.7240506Z >>> # xdoctest: +SKIP 2025-08-26T19:58:25.7240652Z >>> my_model = MyModule() 2025-08-26T19:58:25.7240659Z 2025-08-26T19:58:25.7240790Z >>> state_dict = {"model": my_model} 2025-08-26T19:58:25.7240813Z 2025-08-26T19:58:25.7241105Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter( 2025-08-26T19:58:25.7241207Z ... "/checkpoint/1" 2025-08-26T19:58:25.7241302Z ... ) 2025-08-26T19:58:25.7241511Z >>> checkpoint_future = torch.distributed.checkpoint.async_save( 2025-08-26T19:58:25.7241631Z >>> state_dict=state_dict, 2025-08-26T19:58:25.7241751Z >>> storage_writer=fs_storage_writer, 2025-08-26T19:58:25.7241834Z >>> ) 2025-08-26T19:58:25.7241931Z >>> 2025-08-26T19:58:25.7242031Z >>> # ... do some work ... 2025-08-26T19:58:25.7242115Z >>> 2025-08-26T19:58:25.7242239Z >>> checkpoint_future.result() 2025-08-26T19:58:25.7242244Z 2025-08-26T19:58:25.7242325Z 2025-08-26T19:58:25.7242593Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.7242598Z 2025-08-26T19:58:25.7546668Z msg = Cannot scrape callname=construct_and_record_rdzv_event in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/events/__init__.py line=94. 2025-08-26T19:58:25.7546958Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:25.7546963Z 2025-08-26T19:58:25.7547170Z Initialize rendezvous event object and record its operations. 2025-08-26T19:58:25.7547174Z 2025-08-26T19:58:25.7547276Z Args: 2025-08-26T19:58:25.7547406Z run_id (str): The run id of the rendezvous. 2025-08-26T19:58:25.7547557Z message (str): The message describing the event. 2025-08-26T19:58:25.7547828Z node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED). 2025-08-26T19:58:25.7548012Z name (str): Event name. (E.g. Current action being performed). 2025-08-26T19:58:25.7548147Z hostname (str): Hostname of the node. 2025-08-26T19:58:25.7548289Z pid (Optional[int]): The process id of the node. 2025-08-26T19:58:25.7548540Z master_endpoint (str): The master endpoint for the rendezvous store, if known. 2025-08-26T19:58:25.7548827Z local_id (Optional[int]): The local_id of the node, if defined in dynamic_rendezvous.py 2025-08-26T19:58:25.7548985Z rank (Optional[int]): The rank of the node, if known. 2025-08-26T19:58:25.7549087Z Returns: 2025-08-26T19:58:25.7549169Z None 2025-08-26T19:58:25.7549251Z Example: 2025-08-26T19:58:25.7549390Z >>> # See DynamicRendezvousHandler class 2025-08-26T19:58:25.7549478Z >>> def _record( 2025-08-26T19:58:25.7549580Z ... self, 2025-08-26T19:58:25.7549674Z ... message: str, 2025-08-26T19:58:25.7549811Z ... node_state: NodeState = NodeState.RUNNING, 2025-08-26T19:58:25.7549932Z ... rank: Optional[int] = None, 2025-08-26T19:58:25.7550022Z ... ) -> None: 2025-08-26T19:58:25.7550140Z ... construct_and_record_rdzv_event( 2025-08-26T19:58:25.7550320Z ... name=f"{self.__class__.__name__}.{get_method_name()}", 2025-08-26T19:58:25.7550565Z ... run_id=self._settings.run_id, 2025-08-26T19:58:25.7550737Z ... message=message, 2025-08-26T19:58:25.7550843Z ... node_state=node_state, 2025-08-26T19:58:25.7550960Z ... hostname=self._this_node.addr, 2025-08-26T19:58:25.7551084Z ... pid=self._this_node.pid, 2025-08-26T19:58:25.7551204Z ... local_id=self._this_node.local_id, 2025-08-26T19:58:25.7551312Z ... rank=rank, 2025-08-26T19:58:25.7551395Z ... ) 2025-08-26T19:58:25.7551400Z 2025-08-26T19:58:25.7551662Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:25.7551682Z 2025-08-26T19:58:26.1218669Z msg = Cannot scrape callname=MixedPrecision in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=114. 2025-08-26T19:58:26.1219655Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.1220044Z 2025-08-26T19:58:26.1220294Z This configures FSDP-native mixed precision training. 2025-08-26T19:58:26.1220579Z 2025-08-26T19:58:26.1220914Z Attributes: 2025-08-26T19:58:26.1221281Z param_dtype (Optional[torch.dtype]): This specifies the dtype for model 2025-08-26T19:58:26.1221848Z parameters during forward and backward and thus the dtype for 2025-08-26T19:58:26.1222395Z forward and backward computation. Outside forward and backward, the 2025-08-26T19:58:26.1222939Z *sharded* parameters are kept in full precision (e.g. for the 2025-08-26T19:58:26.1223469Z optimizer step), and for model checkpointing, the parameters are 2025-08-26T19:58:26.1223947Z always saved in full precision. (Default: ``None``) 2025-08-26T19:58:26.1224445Z reduce_dtype (Optional[torch.dtype]): This specifies the dtype for 2025-08-26T19:58:26.1225011Z gradient reduction (i.e. reduce-scatter or all-reduce). If this is 2025-08-26T19:58:26.1225533Z ``None`` but ``param_dtype`` is not ``None``, then this takes on 2025-08-26T19:58:26.1226033Z the ``param_dtype`` value, still running gradient reduction in low 2025-08-26T19:58:26.1226581Z precision. This is permitted to differ from ``param_dtype``, e.g. 2025-08-26T19:58:26.1227165Z to force gradient reduction to run in full precision. (Default: 2025-08-26T19:58:26.1227763Z ``None``) 2025-08-26T19:58:26.1228123Z buffer_dtype (Optional[torch.dtype]): This specifies the dtype for 2025-08-26T19:58:26.1228732Z buffers. FSDP does not shard buffers. Rather, FSDP casts them to 2025-08-26T19:58:26.1229262Z ``buffer_dtype`` in the first forward pass and keeps them in that 2025-08-26T19:58:26.1229795Z dtype thereafter. For model checkpointing, the buffers are saved 2025-08-26T19:58:26.1230315Z in full precision except for ``LOCAL_STATE_DICT``. (Default: 2025-08-26T19:58:26.1230696Z ``None``) 2025-08-26T19:58:26.1231042Z keep_low_precision_grads (bool): If ``False``, then FSDP upcasts 2025-08-26T19:58:26.1231592Z gradients to full precision after the backward pass in preparation 2025-08-26T19:58:26.1232144Z for the optimizer step. If ``True``, then FSDP keeps the gradients 2025-08-26T19:58:26.1232657Z in the dtype used for gradient reduction, which can save memory if 2025-08-26T19:58:26.1233267Z using a custom optimizer that supports running in low precision. 2025-08-26T19:58:26.1233702Z (Default: ``False``) 2025-08-26T19:58:26.1234105Z cast_forward_inputs (bool): If ``True``, then this FSDP module casts 2025-08-26T19:58:26.1234648Z its forward args and kwargs to ``param_dtype``. This is to ensure 2025-08-26T19:58:26.1235175Z that parameter and input dtypes match for forward computation, as 2025-08-26T19:58:26.1235718Z required by many ops. This may need to be set to ``True`` when only 2025-08-26T19:58:26.1236278Z applying mixed precision to some but not all FSDP modules, in which 2025-08-26T19:58:26.1236832Z case a mixed-precision FSDP submodule needs to recast its inputs. 2025-08-26T19:58:26.1237441Z (Default: ``False``) 2025-08-26T19:58:26.1237854Z cast_root_forward_inputs (bool): If ``True``, then the root FSDP module 2025-08-26T19:58:26.1238403Z casts its forward args and kwargs to ``param_dtype``, overriding 2025-08-26T19:58:26.1238924Z the value of ``cast_forward_inputs``. For non-root FSDP modules, 2025-08-26T19:58:26.1239365Z this does not do anything. (Default: ``True``) 2025-08-26T19:58:26.1239841Z _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies 2025-08-26T19:58:26.1240364Z module classes to ignore for mixed precision when using an 2025-08-26T19:58:26.1240852Z ``auto_wrap_policy``: Modules of these classes will have FSDP 2025-08-26T19:58:26.1241366Z applied to them separately with mixed precision disabled (meaning 2025-08-26T19:58:26.1241890Z that the final FSDP construction would deviate from the specified 2025-08-26T19:58:26.1242475Z policy). If ``auto_wrap_policy`` is not specified, then this does 2025-08-26T19:58:26.1242994Z not do anything. This API is experimental and subject to change. 2025-08-26T19:58:26.1243426Z (Default: ``(_BatchNorm,)``) 2025-08-26T19:58:26.1243632Z 2025-08-26T19:58:26.1243814Z .. note:: This API is experimental and subject to change. 2025-08-26T19:58:26.1244101Z 2025-08-26T19:58:26.1244324Z .. note:: Only floating point tensors are cast to their specified dtypes. 2025-08-26T19:58:26.1244672Z 2025-08-26T19:58:26.1244855Z .. note:: In ``summon_full_params``, parameters are forced to full 2025-08-26T19:58:26.1245271Z precision, but buffers are not. 2025-08-26T19:58:26.1245479Z 2025-08-26T19:58:26.1245699Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when 2025-08-26T19:58:26.1246228Z their inputs are in a low precision like ``float16`` or ``bfloat16``. 2025-08-26T19:58:26.1246794Z Disabling FSDP's mixed precision for those norm modules only means that 2025-08-26T19:58:26.1247377Z the affine parameters are kept in ``float32``. However, this incurs 2025-08-26T19:58:26.1247958Z separate all-gathers and reduce-scatters for those norm modules, which 2025-08-26T19:58:26.1248536Z may be inefficient, so if the workload permits, the user should prefer 2025-08-26T19:58:26.1249014Z to still apply mixed precision to those modules. 2025-08-26T19:58:26.1249285Z 2025-08-26T19:58:26.1249491Z .. note:: By default, if the user passes a model with any ``_BatchNorm`` 2025-08-26T19:58:26.1250027Z modules and specifies an ``auto_wrap_policy``, then the batch norm 2025-08-26T19:58:26.1250581Z modules will have FSDP applied to them separately with mixed precision 2025-08-26T19:58:26.1251103Z disabled. See the ``_module_classes_to_ignore`` argument. 2025-08-26T19:58:26.1251391Z 2025-08-26T19:58:26.1251601Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and 2025-08-26T19:58:26.1252149Z ``cast_forward_inputs=False`` by default. For the root FSDP instance, 2025-08-26T19:58:26.1252669Z its ``cast_root_forward_inputs`` takes precedence over its 2025-08-26T19:58:26.1253261Z ``cast_forward_inputs``. For non-root FSDP instances, their 2025-08-26T19:58:26.1253768Z ``cast_root_forward_inputs`` values are ignored. The default setting is 2025-08-26T19:58:26.1254340Z sufficient for the typical case where each FSDP instance has the same 2025-08-26T19:58:26.1255087Z ``MixedPrecision`` configuration and only needs to cast inputs to the 2025-08-26T19:58:26.1255631Z ``param_dtype`` at the beginning of the model's forward pass. 2025-08-26T19:58:26.1255929Z 2025-08-26T19:58:26.1256155Z .. note:: For nested FSDP instances with different ``MixedPrecision`` 2025-08-26T19:58:26.1256712Z configurations, we recommend setting individual ``cast_forward_inputs`` 2025-08-26T19:58:26.1257289Z values to configure casting inputs or not before each instance's 2025-08-26T19:58:26.1257814Z forward. In such a case, since the casts happen before each FSDP 2025-08-26T19:58:26.1258420Z instance's forward, a parent FSDP instance should have its non-FSDP 2025-08-26T19:58:26.1259031Z submodules run before its FSDP submodules to avoid the activation dtype 2025-08-26T19:58:26.1259607Z being changed due to a different ``MixedPrecision`` configuration. 2025-08-26T19:58:26.1259943Z 2025-08-26T19:58:26.1260033Z Example:: 2025-08-26T19:58:26.1260167Z 2025-08-26T19:58:26.1260315Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:26.1260736Z >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3)) 2025-08-26T19:58:26.1261114Z >>> model[1] = FSDP( 2025-08-26T19:58:26.1261396Z >>> model[1], 2025-08-26T19:58:26.1261870Z >>> mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True), 2025-08-26T19:58:26.1262386Z >>> ) 2025-08-26T19:58:26.1262601Z >>> model = FSDP( 2025-08-26T19:58:26.1262867Z >>> model, 2025-08-26T19:58:26.1263416Z >>> mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True), 2025-08-26T19:58:26.1263936Z >>> ) 2025-08-26T19:58:26.1264063Z 2025-08-26T19:58:26.1264273Z The above shows a working example. On the other hand, if ``model[1]`` 2025-08-26T19:58:26.1264813Z were replaced with ``model[0]``, meaning that the submodule using 2025-08-26T19:58:26.1265361Z different ``MixedPrecision`` ran its forward first, then ``model[1]`` 2025-08-26T19:58:26.1265930Z would incorrectly see ``float16`` activations instead of ``bfloat16`` 2025-08-26T19:58:26.1266365Z ones. 2025-08-26T19:58:26.1266485Z 2025-08-26T19:58:26.1266490Z 2025-08-26T19:58:26.1266742Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.1267124Z 2025-08-26T19:58:26.1267741Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=295. 2025-08-26T19:58:26.1268713Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.1269134Z 2025-08-26T19:58:26.1269412Z ``FullStateDictConfig`` is a config class meant to be used with 2025-08-26T19:58:26.1270158Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-08-26T19:58:26.1270775Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-08-26T19:58:26.1271311Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-08-26T19:58:26.1271862Z is meant to be used via the :func:`state_dict_type` context manager as 2025-08-26T19:58:26.1272428Z follows: 2025-08-26T19:58:26.1272608Z 2025-08-26T19:58:26.1272837Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:26.1273509Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-26T19:58:26.1274024Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-08-26T19:58:26.1274482Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-08-26T19:58:26.1275061Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-08-26T19:58:26.1275511Z >>> state = fsdp.state_dict() 2025-08-26T19:58:26.1275946Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-08-26T19:58:26.1276532Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-08-26T19:58:26.1277139Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-08-26T19:58:26.1277613Z >>> if dist.get_rank() == 0: 2025-08-26T19:58:26.1277991Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-08-26T19:58:26.1278443Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-08-26T19:58:26.1278833Z >>> model.load_state_dict(state_dict) 2025-08-26T19:58:26.1279312Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-08-26T19:58:26.1279909Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-08-26T19:58:26.1280535Z >>> fsdp = FSDP( 2025-08-26T19:58:26.1280789Z ... model, 2025-08-26T19:58:26.1281074Z ... device_id=torch.cuda.current_device(), 2025-08-26T19:58:26.1281420Z ... auto_wrap_policy=..., 2025-08-26T19:58:26.1281734Z ... sync_module_states=True, 2025-08-26T19:58:26.1282031Z ... ) 2025-08-26T19:58:26.1282372Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-08-26T19:58:26.1282705Z 2025-08-26T19:58:26.1282808Z Attributes: 2025-08-26T19:58:26.1283127Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-08-26T19:58:26.1283651Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-08-26T19:58:26.1284133Z ranks save the full state dict. (Default: ``False``) 2025-08-26T19:58:26.1284401Z 2025-08-26T19:58:26.1284673Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.1285042Z 2025-08-26T19:58:26.1358828Z msg = Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=634. 2025-08-26T19:58:26.1360034Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.1360671Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2025-08-26T19:58:26.1361058Z 2025-08-26T19:58:26.1361318Z Also takes (optional) configuration for the model's and optimizer's state dict. 2025-08-26T19:58:26.1361914Z The target module does not have to be a FSDP module. If the target 2025-08-26T19:58:26.1362629Z module is a FSDP module, its ``state_dict_type`` will also be changed. 2025-08-26T19:58:26.1362956Z 2025-08-26T19:58:26.1363172Z .. note:: This API should be called for only the top-level (root) 2025-08-26T19:58:26.1363629Z module. 2025-08-26T19:58:26.1363813Z 2025-08-26T19:58:26.1364027Z .. note:: This API enables users to transparently use the conventional 2025-08-26T19:58:26.1364554Z ``state_dict`` API to take model checkpoints in cases where the 2025-08-26T19:58:26.1365082Z root FSDP module is wrapped by another ``nn.Module``. For example, 2025-08-26T19:58:26.1365630Z the following will ensure ``state_dict`` is called on all non-FSDP 2025-08-26T19:58:26.1366189Z instances, while dispatching into `sharded_state_dict` implementation 2025-08-26T19:58:26.1366645Z for FSDP: 2025-08-26T19:58:26.1366796Z 2025-08-26T19:58:26.1366902Z Example:: 2025-08-26T19:58:26.1367042Z 2025-08-26T19:58:26.1367191Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:26.1367539Z >>> model = DDP(FSDP(...)) 2025-08-26T19:58:26.1367873Z >>> FSDP.set_state_dict_type( 2025-08-26T19:58:26.1368192Z >>> model, 2025-08-26T19:58:26.1368500Z >>> StateDictType.SHARDED_STATE_DICT, 2025-08-26T19:58:26.1368957Z >>> state_dict_config = ShardedStateDictConfig(offload_to_cpu=True), 2025-08-26T19:58:26.1369528Z >>> optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True), 2025-08-26T19:58:26.1369968Z >>> ) 2025-08-26T19:58:26.1370243Z >>> param_state_dict = model.state_dict() 2025-08-26T19:58:26.1370663Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2025-08-26T19:58:26.1370950Z 2025-08-26T19:58:26.1371037Z Args: 2025-08-26T19:58:26.1371301Z module (torch.nn.Module): Root module. 2025-08-26T19:58:26.1371783Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2025-08-26T19:58:26.1372385Z state_dict_config (Optional[StateDictConfig]): the configuration for the 2025-08-26T19:58:26.1372853Z target ``state_dict_type``. 2025-08-26T19:58:26.1373330Z optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration 2025-08-26T19:58:26.1373955Z for the optimizer state dict. 2025-08-26T19:58:26.1374180Z 2025-08-26T19:58:26.1374286Z Returns: 2025-08-26T19:58:26.1374640Z A StateDictSettings that include the previous state_dict type and 2025-08-26T19:58:26.1375108Z configuration for the module. 2025-08-26T19:58:26.1375427Z 2025-08-26T19:58:26.1375811Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.1376179Z 2025-08-26T19:58:26.1377003Z msg = Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=792. 2025-08-26T19:58:26.1378173Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.1378876Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2025-08-26T19:58:26.1379262Z 2025-08-26T19:58:26.1379640Z This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of 2025-08-26T19:58:26.1380218Z :meth:`set_state_dict_type` for the detail. 2025-08-26T19:58:26.1380457Z 2025-08-26T19:58:26.1380563Z Example:: 2025-08-26T19:58:26.1380702Z 2025-08-26T19:58:26.1380835Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:26.1381192Z >>> model = DDP(FSDP(...)) 2025-08-26T19:58:26.1381525Z >>> with FSDP.state_dict_type( 2025-08-26T19:58:26.1381845Z >>> model, 2025-08-26T19:58:26.1382133Z >>> StateDictType.SHARDED_STATE_DICT, 2025-08-26T19:58:26.1382467Z >>> ): 2025-08-26T19:58:26.1382735Z >>> checkpoint = model.state_dict() 2025-08-26T19:58:26.1382971Z 2025-08-26T19:58:26.1383072Z Args: 2025-08-26T19:58:26.1383330Z module (torch.nn.Module): Root module. 2025-08-26T19:58:26.1383798Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2025-08-26T19:58:26.1384399Z state_dict_config (Optional[StateDictConfig]): the model ``state_dict`` 2025-08-26T19:58:26.1384925Z configuration for the target ``state_dict_type``. 2025-08-26T19:58:26.1385448Z optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer 2025-08-26T19:58:26.1386001Z ``state_dict`` configuration for the target ``state_dict_type``. 2025-08-26T19:58:26.1386418Z 2025-08-26T19:58:26.1386803Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.1387171Z 2025-08-26T19:58:26.1415498Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1805. 2025-08-26T19:58:26.1416709Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.1417100Z 2025-08-26T19:58:26.1417381Z Transform the state-dict of an optimizer corresponding to a sharded model. 2025-08-26T19:58:26.1417745Z 2025-08-26T19:58:26.1417952Z The given state-dict can be transformed to one of three types: 2025-08-26T19:58:26.1418663Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict. 2025-08-26T19:58:26.1419267Z 2025-08-26T19:58:26.1419652Z For full optimizer state_dict, all states are unflattened and not sharded. 2025-08-26T19:58:26.1420618Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to 2025-08-26T19:58:26.1421059Z avoid OOM. 2025-08-26T19:58:26.1421185Z 2025-08-26T19:58:26.1421440Z For sharded optimizer state_dict, all states are unflattened but sharded. 2025-08-26T19:58:26.1421997Z CPU only can be specified via :meth:`state_dict_type` to further save 2025-08-26T19:58:26.1422422Z memory. 2025-08-26T19:58:26.1422538Z 2025-08-26T19:58:26.1422774Z For local state_dict, no transformation will be performed. But a state 2025-08-26T19:58:26.1423484Z will be converted from nn.Tensor to ShardedTensor to represent its sharding 2025-08-26T19:58:26.1423986Z nature (this is not supported yet). 2025-08-26T19:58:26.1424217Z 2025-08-26T19:58:26.1424319Z Example:: 2025-08-26T19:58:26.1424457Z 2025-08-26T19:58:26.1424586Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:26.1425078Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-26T19:58:26.1425604Z >>> from torch.distributed.fsdp import StateDictType 2025-08-26T19:58:26.1426047Z >>> from torch.distributed.fsdp import FullStateDictConfig 2025-08-26T19:58:26.1426553Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2025-08-26T19:58:26.1426984Z >>> # Save a checkpoint 2025-08-26T19:58:26.1427273Z >>> model, optim = ... 2025-08-26T19:58:26.1427551Z >>> FSDP.set_state_dict_type( 2025-08-26T19:58:26.1427900Z >>> model, 2025-08-26T19:58:26.1428172Z >>> StateDictType.FULL_STATE_DICT, 2025-08-26T19:58:26.1428607Z >>> FullStateDictConfig(rank0_only=False), 2025-08-26T19:58:26.1428992Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-26T19:58:26.1429342Z >>> ) 2025-08-26T19:58:26.1429577Z >>> state_dict = model.state_dict() 2025-08-26T19:58:26.1429967Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2025-08-26T19:58:26.1430389Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2025-08-26T19:58:26.1430750Z >>> # Load a checkpoint 2025-08-26T19:58:26.1431032Z >>> model, optim = ... 2025-08-26T19:58:26.1431357Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2025-08-26T19:58:26.1431720Z >>> FSDP.set_state_dict_type( 2025-08-26T19:58:26.1432012Z >>> model, 2025-08-26T19:58:26.1432278Z >>> StateDictType.FULL_STATE_DICT, 2025-08-26T19:58:26.1432637Z >>> FullStateDictConfig(rank0_only=False), 2025-08-26T19:58:26.1433076Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-26T19:58:26.1433429Z >>> ) 2025-08-26T19:58:26.1433675Z >>> model.load_state_dict(state_dict) 2025-08-26T19:58:26.1434063Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2025-08-26T19:58:26.1434437Z >>> model, optim, optim_state_dict 2025-08-26T19:58:26.1434755Z >>> ) 2025-08-26T19:58:26.1435011Z >>> optim.load_state_dict(optim_state_dict) 2025-08-26T19:58:26.1435246Z 2025-08-26T19:58:26.1435343Z Args: 2025-08-26T19:58:26.1435648Z model (torch.nn.Module): Root module (which may or may not be a 2025-08-26T19:58:26.1436168Z :class:`FullyShardedDataParallel` instance) whose parameters 2025-08-26T19:58:26.1436630Z were passed into the optimizer ``optim``. 2025-08-26T19:58:26.1437126Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2025-08-26T19:58:26.1437521Z parameters. 2025-08-26T19:58:26.1437875Z optim_state_dict (Dict[str, Any]): the target optimizer state_dict to 2025-08-26T19:58:26.1438426Z transform. If the value is None, optim.state_dict() will be used. ( 2025-08-26T19:58:26.1438868Z Default: ``None``) 2025-08-26T19:58:26.1439293Z group (dist.ProcessGroup): Model's process group across which parameters 2025-08-26T19:58:26.1439834Z are sharded or ``None`` if using the default process group. ( 2025-08-26T19:58:26.1440238Z Default: ``None``) 2025-08-26T19:58:26.1440422Z 2025-08-26T19:58:26.1440506Z Returns: 2025-08-26T19:58:26.1440827Z Dict[str, Any]: A :class:`dict` containing the optimizer state for 2025-08-26T19:58:26.1441297Z ``model``. The sharding of the optimizer state is based on 2025-08-26T19:58:26.1441684Z ``state_dict_type``. 2025-08-26T19:58:26.1441864Z 2025-08-26T19:58:26.1442115Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.1442483Z 2025-08-26T19:58:26.1443372Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1903. 2025-08-26T19:58:26.1444684Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.1445067Z 2025-08-26T19:58:26.1445439Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model. 2025-08-26T19:58:26.1445912Z 2025-08-26T19:58:26.1446098Z Given a ``optim_state_dict`` that is transformed through 2025-08-26T19:58:26.1446582Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer 2025-08-26T19:58:26.1447133Z state_dict that can be loaded to ``optim`` which is the optimizer for 2025-08-26T19:58:26.1447659Z ``model``. ``model`` must be sharded by FullyShardedDataParallel. 2025-08-26T19:58:26.1447964Z 2025-08-26T19:58:26.1448103Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:26.1448586Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-26T19:58:26.1449094Z >>> from torch.distributed.fsdp import StateDictType 2025-08-26T19:58:26.1449607Z >>> from torch.distributed.fsdp import FullStateDictConfig 2025-08-26T19:58:26.1450110Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2025-08-26T19:58:26.1450532Z >>> # Save a checkpoint 2025-08-26T19:58:26.1450798Z >>> model, optim = ... 2025-08-26T19:58:26.1451085Z >>> FSDP.set_state_dict_type( 2025-08-26T19:58:26.1451382Z >>> model, 2025-08-26T19:58:26.1451646Z >>> StateDictType.FULL_STATE_DICT, 2025-08-26T19:58:26.1451992Z >>> FullStateDictConfig(rank0_only=False), 2025-08-26T19:58:26.1452382Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-26T19:58:26.1452731Z >>> ) 2025-08-26T19:58:26.1452972Z >>> state_dict = model.state_dict() 2025-08-26T19:58:26.1453298Z >>> original_osd = optim.state_dict() 2025-08-26T19:58:26.1453659Z >>> optim_state_dict = FSDP.optim_state_dict( 2025-08-26T19:58:26.1453994Z >>> model, 2025-08-26T19:58:26.1454229Z >>> optim, 2025-08-26T19:58:26.1454475Z >>> optim_state_dict=original_osd 2025-08-26T19:58:26.1455007Z >>> ) 2025-08-26T19:58:26.1455284Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2025-08-26T19:58:26.1455651Z >>> # Load a checkpoint 2025-08-26T19:58:26.1455919Z >>> model, optim = ... 2025-08-26T19:58:26.1456253Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2025-08-26T19:58:26.1456628Z >>> FSDP.set_state_dict_type( 2025-08-26T19:58:26.1456922Z >>> model, 2025-08-26T19:58:26.1457172Z >>> StateDictType.FULL_STATE_DICT, 2025-08-26T19:58:26.1457536Z >>> FullStateDictConfig(rank0_only=False), 2025-08-26T19:58:26.1457924Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-26T19:58:26.1458281Z >>> ) 2025-08-26T19:58:26.1458507Z >>> model.load_state_dict(state_dict) 2025-08-26T19:58:26.1458891Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2025-08-26T19:58:26.1459281Z >>> model, optim, optim_state_dict 2025-08-26T19:58:26.1459600Z >>> ) 2025-08-26T19:58:26.1459844Z >>> optim.load_state_dict(optim_state_dict) 2025-08-26T19:58:26.1460099Z 2025-08-26T19:58:26.1460183Z Args: 2025-08-26T19:58:26.1460509Z model (torch.nn.Module): Root module (which may or may not be a 2025-08-26T19:58:26.1461036Z :class:`FullyShardedDataParallel` instance) whose parameters 2025-08-26T19:58:26.1461554Z were passed into the optimizer ``optim``. 2025-08-26T19:58:26.1461977Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2025-08-26T19:58:26.1462383Z parameters. 2025-08-26T19:58:26.1462761Z optim_state_dict (Dict[str, Any]): The optimizer states to be loaded. 2025-08-26T19:58:26.1463310Z is_named_optimizer (bool): Is this optimizer a NamedOptimizer or 2025-08-26T19:58:26.1463820Z KeyedOptimizer. Only set to True if ``optim`` is TorchRec's 2025-08-26T19:58:26.1464319Z KeyedOptimizer or torch.distributed's NamedOptimizer. 2025-08-26T19:58:26.1464816Z load_directly (bool): If this is set to True, this API will also 2025-08-26T19:58:26.1465472Z call optim.load_state_dict(result) before returning the result. 2025-08-26T19:58:26.1466007Z Otherwise, users are responsible to call ``optim.load_state_dict()`` 2025-08-26T19:58:26.1466458Z (Default: ``False``) 2025-08-26T19:58:26.1466892Z group (dist.ProcessGroup): Model's process group across which parameters 2025-08-26T19:58:26.1467440Z are sharded or ``None`` if using the default process group. ( 2025-08-26T19:58:26.1467842Z Default: ``None``) 2025-08-26T19:58:26.1468010Z 2025-08-26T19:58:26.1468260Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.1468645Z 2025-08-26T19:58:26.1972848Z msg = Cannot scrape callname=_RemoteModule.__init__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=129. 2025-08-26T19:58:26.1973960Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.1974355Z 2025-08-26T19:58:26.1974780Z RemoteModule instance can only be created after RPC initialization. 2025-08-26T19:58:26.1975125Z 2025-08-26T19:58:26.1975336Z It creates a user-specified module on a specified remote node. 2025-08-26T19:58:26.1975918Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2025-08-26T19:58:26.1976384Z executed on the remote node. 2025-08-26T19:58:26.1976799Z It takes care of autograd recording to ensure the backward pass propagates 2025-08-26T19:58:26.1977311Z gradients back to the corresponding remote module. 2025-08-26T19:58:26.1977947Z It can be shared across processors using `RPC framework `__, 2025-08-26T19:58:26.1978618Z without incurring any overheads of copying the actual module, 2025-08-26T19:58:26.1979119Z which is equivalent to an :class:`~torch.distributed.rpc.RRef` 2025-08-26T19:58:26.1979552Z pointing to the remote module. 2025-08-26T19:58:26.1979765Z 2025-08-26T19:58:26.1979970Z The arguments of ``forward_async`` and ``forward`` are the same as 2025-08-26T19:58:26.1980502Z the ``forward`` method of the module returned by the ``module_cls``. 2025-08-26T19:58:26.1980817Z 2025-08-26T19:58:26.1981245Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now. 2025-08-26T19:58:26.1981887Z 2025-08-26T19:58:26.1982140Z Particularly, to create a hybrid model, typically the local modules should be 2025-08-26T19:58:26.1983400Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``). 2025-08-26T19:58:26.1983996Z Hybrid Example: 2025-08-26T19:58:26.1984259Z >>> class HybridModel(nn.Module): 2025-08-26T19:58:26.1984589Z >>> def __init__(self) -> None: 2025-08-26T19:58:26.1984926Z >>> nn.Module.__init__(self) 2025-08-26T19:58:26.1985298Z >>> self.remote_embedding = RemoteModule(...) 2025-08-26T19:58:26.1985686Z >>> self.local_linear = nn.Linear(...) 2025-08-26T19:58:26.1985926Z 2025-08-26T19:58:26.1986148Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2025-08-26T19:58:26.1986707Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``, 2025-08-26T19:58:26.1987294Z the generated ``RemoteModule`` will have 2 methods in signature of 2025-08-26T19:58:26.1987756Z ``def forward(input: Tensor) -> Tensor:`` and 2025-08-26T19:58:26.1988164Z ``def forward_async(input: Tensor) -> Future[Tensor]:``. 2025-08-26T19:58:26.1988436Z 2025-08-26T19:58:26.1988543Z .. note:: 2025-08-26T19:58:26.1988815Z If the remote module is placed on a cuda device, 2025-08-26T19:58:26.1989312Z any input CPU tensors will be automatically moved to the same cuda device, 2025-08-26T19:58:26.1990239Z and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend. 2025-08-26T19:58:26.1990965Z 2025-08-26T19:58:26.1991121Z Args: 2025-08-26T19:58:26.1992014Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-08-26T19:58:26.1992782Z The device can be a local device or a remote device specified by one of the following remote 2025-08-26T19:58:26.1993375Z formats: 2025-08-26T19:58:26.1993516Z 2025-08-26T19:58:26.1993673Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2025-08-26T19:58:26.1994072Z 2. "/" (ex: "trainer0/cuda:0"). 2025-08-26T19:58:26.1994351Z 2025-08-26T19:58:26.1994597Z In addition, the device field can be optional and the default value is "cpu". 2025-08-26T19:58:26.1995087Z module_cls (nn.Module): For example, 2025-08-26T19:58:26.1995429Z >>> class MyModule(nn.Module): 2025-08-26T19:58:26.1995747Z >>> def forward(input): 2025-08-26T19:58:26.1996037Z >>> return input + 1 2025-08-26T19:58:26.1996329Z >>> 2025-08-26T19:58:26.1996558Z >>> module_cls = MyModule 2025-08-26T19:58:26.1997464Z args (Sequence, optional): args to be passed to ``module_cls``. 2025-08-26T19:58:26.1997970Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2025-08-26T19:58:26.1998561Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2025-08-26T19:58:26.1999204Z to be created. The type object should be decorated by @torch.jit.interface. 2025-08-26T19:58:26.1999787Z If not provided, the generated RemoteModule is not torchscript-able. 2025-08-26T19:58:26.2000349Z Warning, this is an experimental API and susceptible to frequent changes. 2025-08-26T19:58:26.2000718Z 2025-08-26T19:58:26.2000804Z Returns: 2025-08-26T19:58:26.2001179Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-08-26T19:58:26.2001780Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2025-08-26T19:58:26.2002407Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-08-26T19:58:26.2002944Z on the user-provided module on the remote side. 2025-08-26T19:58:26.2003213Z 2025-08-26T19:58:26.2003311Z Example:: 2025-08-26T19:58:26.2003599Z Run the following code in two different processes: 2025-08-26T19:58:26.2003864Z 2025-08-26T19:58:26.2003996Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:26.2004300Z >>> # On worker 0: 2025-08-26T19:58:26.2004554Z >>> import torch 2025-08-26T19:58:26.2004839Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:26.2005186Z >>> from torch import nn, Tensor 2025-08-26T19:58:26.2005605Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-08-26T19:58:26.2006034Z >>> 2025-08-26T19:58:26.2006296Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-26T19:58:26.2006675Z >>> remote_linear_module = RemoteModule( 2025-08-26T19:58:26.2007038Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-08-26T19:58:26.2007353Z >>> ) 2025-08-26T19:58:26.2007592Z >>> input = torch.randn(128, 20) 2025-08-26T19:58:26.2007973Z >>> ret_fut = remote_linear_module.forward_async(input) 2025-08-26T19:58:26.2008354Z >>> ret = ret_fut.wait() 2025-08-26T19:58:26.2008625Z >>> rpc.shutdown() 2025-08-26T19:58:26.2008800Z 2025-08-26T19:58:26.2008894Z >>> # On worker 1: 2025-08-26T19:58:26.2009149Z >>> import torch 2025-08-26T19:58:26.2009441Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:26.2009753Z >>> 2025-08-26T19:58:26.2010021Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-26T19:58:26.2010377Z >>> rpc.shutdown() 2025-08-26T19:58:26.2023429Z 2025-08-26T19:58:26.2023788Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.2024227Z 2025-08-26T19:58:26.2024995Z msg = Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=506. 2025-08-26T19:58:26.2026180Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.2026618Z 2025-08-26T19:58:26.2026942Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef. 2025-08-26T19:58:26.2027384Z 2025-08-26T19:58:26.2027723Z This alternate initialization method can be particularly useful if we want to create multiple 2025-08-26T19:58:26.2028493Z RemoteModule instances that share the same underlying module and reduce memory consumption. 2025-08-26T19:58:26.2028928Z 2025-08-26T19:58:26.2029204Z Moreover, this also provides a workaround for passing script RemoteModule over RPC, 2025-08-26T19:58:26.2029792Z which is not supported. The recommended way is as follows: 2025-08-26T19:58:26.2030095Z 2025-08-26T19:58:26.2030214Z 1. the sender creates a RemoteModule; 2025-08-26T19:58:26.2030587Z 2. the sender sends its ``module_rref`` over RPC; 2025-08-26T19:58:26.2031180Z 3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``. 2025-08-26T19:58:26.2031635Z 2025-08-26T19:58:26.2031801Z Example:: 2025-08-26T19:58:26.2032091Z Run the following code in two different processes: 2025-08-26T19:58:26.2032368Z 2025-08-26T19:58:26.2032481Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:26.2032805Z >>> # On worker 0: 2025-08-26T19:58:26.2033127Z >>> import torch 2025-08-26T19:58:26.2033418Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:26.2033765Z >>> from torch import nn, Tensor 2025-08-26T19:58:26.2034201Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-08-26T19:58:26.2034615Z >>> 2025-08-26T19:58:26.2034879Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-26T19:58:26.2035249Z >>> remote_module = RemoteModule( 2025-08-26T19:58:26.2035593Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-08-26T19:58:26.2035912Z >>> ) 2025-08-26T19:58:26.2036121Z >>> 2025-08-26T19:58:26.2036351Z >>> remote_module1 = rpc.rpc_sync( 2025-08-26T19:58:26.2036675Z >>> "worker1/cpu", 2025-08-26T19:58:26.2036969Z >>> RemoteModule.init_from_module_rref, 2025-08-26T19:58:26.2037368Z >>> ("worker1/cpu", remote_module1.get_module_rref()), 2025-08-26T19:58:26.2037731Z >>> ) 2025-08-26T19:58:26.2037950Z >>> rpc.shutdown() 2025-08-26T19:58:26.2038105Z 2025-08-26T19:58:26.2038196Z >>> # On worker 1: 2025-08-26T19:58:26.2038448Z >>> import torch 2025-08-26T19:58:26.2038730Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:26.2039053Z >>> 2025-08-26T19:58:26.2039298Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-26T19:58:26.2039646Z >>> rpc.shutdown() 2025-08-26T19:58:26.2039819Z 2025-08-26T19:58:26.2039900Z Args: 2025-08-26T19:58:26.2040320Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-08-26T19:58:26.2041036Z The device can be a local device or a remote device specified by one of the following remote 2025-08-26T19:58:26.2041533Z formats: 2025-08-26T19:58:26.2041691Z 2025-08-26T19:58:26.2041832Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2025-08-26T19:58:26.2042246Z 2. "/" (ex: "trainer0/cuda:0"). 2025-08-26T19:58:26.2042507Z 2025-08-26T19:58:26.2042767Z In addition, the device field can be optional and the default value is "cpu". 2025-08-26T19:58:26.2043412Z module_rref (RRef[nn.Module]): The module reference shared by both the caller and 2025-08-26T19:58:26.2043897Z the created remote module. 2025-08-26T19:58:26.2044389Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2025-08-26T19:58:26.2045026Z to be created. The type object should be decorated by @torch.jit.interface. 2025-08-26T19:58:26.2045607Z If not provided, the generated RemoteModule is not torchscript-able. 2025-08-26T19:58:26.2046173Z Warning, this is an experimental API and susceptible to frequent changes. 2025-08-26T19:58:26.2046587Z 2025-08-26T19:58:26.2046708Z Returns: 2025-08-26T19:58:26.2047084Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-08-26T19:58:26.2047691Z user-provided ``module_rref``, it has a blocking ``forward`` method and an 2025-08-26T19:58:26.2048309Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-08-26T19:58:26.2048853Z on the user-provided module on the remote side. 2025-08-26T19:58:26.2049121Z 2025-08-26T19:58:26.2049374Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.2049757Z 2025-08-26T19:58:26.2050366Z msg = Cannot scrape callname=RemoteModule in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=598. 2025-08-26T19:58:26.2051357Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.2051735Z 2025-08-26T19:58:26.2051983Z A RemoteModule instance can only be created after RPC initialization. 2025-08-26T19:58:26.2052389Z 2025-08-26T19:58:26.2052586Z It creates a user-specified module on a specified remote node. 2025-08-26T19:58:26.2053135Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2025-08-26T19:58:26.2053600Z executed on the remote node. 2025-08-26T19:58:26.2054044Z It takes care of autograd recording to ensure the backward pass propagates 2025-08-26T19:58:26.2054748Z gradients back to the corresponding remote module. 2025-08-26T19:58:26.2055032Z 2025-08-26T19:58:26.2055250Z It generates two methods ``forward_async`` and ``forward`` based on the 2025-08-26T19:58:26.2055816Z signature of the ``forward`` method of ``module_cls``. ``forward_async`` 2025-08-26T19:58:26.2056413Z runs asynchronously and returns a Future. The arguments of ``forward_async`` 2025-08-26T19:58:26.2056996Z and ``forward`` are the same as the ``forward`` method of the module 2025-08-26T19:58:26.2057418Z returned by the ``module_cls``. 2025-08-26T19:58:26.2057648Z 2025-08-26T19:58:26.2057848Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2025-08-26T19:58:26.2058431Z that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``, 2025-08-26T19:58:26.2059046Z the generated ``RemoteModule`` will have 2 methods with the signatures: 2025-08-26T19:58:26.2059393Z 2025-08-26T19:58:26.2059534Z | ``def forward(input: Tensor) -> Tensor:`` 2025-08-26T19:58:26.2059931Z | ``def forward_async(input: Tensor) -> Future[Tensor]:`` 2025-08-26T19:58:26.2060222Z 2025-08-26T19:58:26.2060305Z Args: 2025-08-26T19:58:26.2060731Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-08-26T19:58:26.2061502Z The format should be "/", where the device field can be parsed as torch.device type. 2025-08-26T19:58:26.2062094Z E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0". 2025-08-26T19:58:26.2062601Z In addition, the device field can be optional and the default value is "cpu". 2025-08-26T19:58:26.2063229Z module_cls (nn.Module): Class for the module to be created remotely. For example, 2025-08-26T19:58:26.2063597Z 2025-08-26T19:58:26.2063723Z >>> class MyModule(nn.Module): 2025-08-26T19:58:26.2064051Z >>> def forward(input): 2025-08-26T19:58:26.2064348Z >>> return input + 1 2025-08-26T19:58:26.2064641Z >>> 2025-08-26T19:58:26.2064869Z >>> module_cls = MyModule 2025-08-26T19:58:26.2065062Z 2025-08-26T19:58:26.2065273Z args (Sequence, optional): args to be passed to ``module_cls``. 2025-08-26T19:58:26.2065774Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2025-08-26T19:58:26.2066093Z 2025-08-26T19:58:26.2066180Z Returns: 2025-08-26T19:58:26.2066550Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-08-26T19:58:26.2067152Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2025-08-26T19:58:26.2067913Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-08-26T19:58:26.2068444Z on the user-provided module on the remote side. 2025-08-26T19:58:26.2068719Z 2025-08-26T19:58:26.2068821Z Example:: 2025-08-26T19:58:26.2069106Z Run the following code in two different processes: 2025-08-26T19:58:26.2069368Z 2025-08-26T19:58:26.2069495Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:26.2069799Z >>> # On worker 0: 2025-08-26T19:58:26.2070053Z >>> import torch 2025-08-26T19:58:26.2070337Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:26.2070687Z >>> from torch import nn, Tensor 2025-08-26T19:58:26.2071106Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-08-26T19:58:26.2071531Z >>> 2025-08-26T19:58:26.2071784Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-26T19:58:26.2072150Z >>> remote_linear_module = RemoteModule( 2025-08-26T19:58:26.2072574Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-08-26T19:58:26.2072909Z >>> ) 2025-08-26T19:58:26.2073207Z >>> input = torch.randn(128, 20) 2025-08-26T19:58:26.2073579Z >>> ret_fut = remote_linear_module.forward_async(input) 2025-08-26T19:58:26.2073939Z >>> ret = ret_fut.wait() 2025-08-26T19:58:26.2074222Z >>> rpc.shutdown() 2025-08-26T19:58:26.2074389Z 2025-08-26T19:58:26.2074474Z >>> # On worker 1: 2025-08-26T19:58:26.2074718Z >>> import torch 2025-08-26T19:58:26.2074981Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:26.2075075Z >>> 2025-08-26T19:58:26.2075212Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-26T19:58:26.2075317Z >>> rpc.shutdown() 2025-08-26T19:58:26.2075321Z 2025-08-26T19:58:26.2075511Z Furthermore, a more practical example that is combined with 2025-08-26T19:58:26.2076016Z `DistributedDataParallel `__ (DDP) 2025-08-26T19:58:26.2076353Z can be found in this `tutorial `__. 2025-08-26T19:58:26.2076360Z 2025-08-26T19:58:26.2076614Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.2076618Z 2025-08-26T19:58:26.2205030Z msg = Cannot scrape callname=DistributedOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/optimizer.py line=129. 2025-08-26T19:58:26.2205296Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.2205317Z 2025-08-26T19:58:26.2205561Z DistributedOptimizer takes remote references to parameters scattered 2025-08-26T19:58:26.2205800Z across workers and applies the given optimizer locally for each parameter. 2025-08-26T19:58:26.2205805Z 2025-08-26T19:58:26.2206051Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order 2025-08-26T19:58:26.2206203Z to retrieve the gradients for specific parameters. 2025-08-26T19:58:26.2206216Z 2025-08-26T19:58:26.2206367Z Concurrent calls to 2025-08-26T19:58:26.2206577Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`, 2025-08-26T19:58:26.2206716Z either from the same or different clients, will 2025-08-26T19:58:26.2206952Z be serialized on each worker -- as each worker's optimizer can only work 2025-08-26T19:58:26.2207160Z on one set of gradients at a time. However, there is no guarantee that 2025-08-26T19:58:26.2207419Z the full forward-backward-optimizer sequence will execute for one client 2025-08-26T19:58:26.2207635Z at a time. This means that the gradients being applied may not correspond 2025-08-26T19:58:26.2207855Z to the latest forward pass executed on a given worker. Also, there is no 2025-08-26T19:58:26.2207982Z guaranteed ordering across workers. 2025-08-26T19:58:26.2207987Z 2025-08-26T19:58:26.2208247Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled 2025-08-26T19:58:26.2208581Z by default, so that optimizer updates are not blocked by the Python Global 2025-08-26T19:58:26.2208872Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed 2025-08-26T19:58:26.2209129Z Model Parallel). This feature is currently enabled for most optimizers. You 2025-08-26T19:58:26.2209380Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support 2025-08-26T19:58:26.2209492Z for your own custom optimizers. 2025-08-26T19:58:26.2209497Z 2025-08-26T19:58:26.2209594Z Args: 2025-08-26T19:58:26.2209793Z optimizer_class (optim.Optimizer): the class of optimizer to 2025-08-26T19:58:26.2209917Z instantiate on each worker. 2025-08-26T19:58:26.2210132Z params_rref (list[RRef]): list of RRefs to local or remote parameters 2025-08-26T19:58:26.2210224Z to optimize. 2025-08-26T19:58:26.2210454Z args: arguments to pass to the optimizer constructor on each worker. 2025-08-26T19:58:26.2210675Z kwargs: arguments to pass to the optimizer constructor on each worker. 2025-08-26T19:58:26.2210682Z 2025-08-26T19:58:26.2210868Z Example:: 2025-08-26T19:58:26.2210984Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:26.2211147Z >>> import torch.distributed.autograd as dist_autograd 2025-08-26T19:58:26.2211288Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:26.2211391Z >>> from torch import optim 2025-08-26T19:58:26.2211595Z >>> from torch.distributed.optim import DistributedOptimizer 2025-08-26T19:58:26.2211681Z >>> 2025-08-26T19:58:26.2211813Z >>> with dist_autograd.context() as context_id: 2025-08-26T19:58:26.2211929Z >>> # Forward pass. 2025-08-26T19:58:26.2212126Z >>> rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3)) 2025-08-26T19:58:26.2212334Z >>> rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1)) 2025-08-26T19:58:26.2212461Z >>> loss = rref1.to_here() + rref2.to_here() 2025-08-26T19:58:26.2212544Z >>> 2025-08-26T19:58:26.2212656Z >>> # Backward pass. 2025-08-26T19:58:26.2212810Z >>> dist_autograd.backward(context_id, [loss.sum()]) 2025-08-26T19:58:26.2212894Z >>> 2025-08-26T19:58:26.2212998Z >>> # Optimizer. 2025-08-26T19:58:26.2213121Z >>> dist_optim = DistributedOptimizer( 2025-08-26T19:58:26.2213225Z >>> optim.SGD, 2025-08-26T19:58:26.2213319Z >>> [rref1, rref2], 2025-08-26T19:58:26.2213405Z >>> lr=0.05, 2025-08-26T19:58:26.2213503Z >>> ) 2025-08-26T19:58:26.2213611Z >>> dist_optim.step(context_id) 2025-08-26T19:58:26.2213616Z 2025-08-26T19:58:26.2213784Z __ https://github.com/pytorch/tutorials/pull/1465 2025-08-26T19:58:26.2213789Z 2025-08-26T19:58:26.2214044Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.2214049Z 2025-08-26T19:58:26.2222529Z msg = Cannot scrape callname=PostLocalSGDOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9. 2025-08-26T19:58:26.2222797Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.2222805Z 2025-08-26T19:58:26.2223211Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD `_, 2025-08-26T19:58:26.2223361Z This optimizer runs local optimizer at every step. 2025-08-26T19:58:26.2223696Z After the warm-up stage, it averages parameters periodically after the local optimizer is applied. 2025-08-26T19:58:26.2223701Z 2025-08-26T19:58:26.2223795Z Args: 2025-08-26T19:58:26.2223899Z optim: The local optimizer. 2025-08-26T19:58:26.2224130Z averager: A model averager instance to run post-localSGD algorithm. 2025-08-26T19:58:26.2224135Z 2025-08-26T19:58:26.2224225Z Example:: 2025-08-26T19:58:26.2224229Z 2025-08-26T19:58:26.2224353Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:26.2224457Z >>> import torch 2025-08-26T19:58:26.2224571Z >>> import torch.distributed as dist 2025-08-26T19:58:26.2224911Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2025-08-26T19:58:26.2225050Z >>> import torch.nn as nn 2025-08-26T19:58:26.2225243Z >>> from torch.distributed.optim import PostLocalSGDOptimizer 2025-08-26T19:58:26.2225529Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2025-08-26T19:58:26.2225633Z >>> PostLocalSGDState, 2025-08-26T19:58:26.2225748Z >>> post_localSGD_hook, 2025-08-26T19:58:26.2225830Z >>> ) 2025-08-26T19:58:26.2225961Z >>> 2025-08-26T19:58:26.2226127Z >>> model = nn.parallel.DistributedDataParallel( 2025-08-26T19:58:26.2226267Z >>> module, device_ids=[rank], output_device=rank 2025-08-26T19:58:26.2226365Z >>> ) 2025-08-26T19:58:26.2226447Z >>> 2025-08-26T19:58:26.2226607Z >>> # Register a post-localSGD communication hook. 2025-08-26T19:58:26.2226904Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2025-08-26T19:58:26.2227084Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-08-26T19:58:26.2227227Z >>> 2025-08-26T19:58:26.2227433Z >>> # Create a post-localSGD optimizer that wraps a local optimizer. 2025-08-26T19:58:26.2227696Z >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as 2025-08-26T19:58:26.2227865Z >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-08-26T19:58:26.2228092Z >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01) 2025-08-26T19:58:26.2228205Z >>> opt = PostLocalSGDOptimizer( 2025-08-26T19:58:26.2228307Z >>> optim=local_optim, 2025-08-26T19:58:26.2228571Z >>> averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2025-08-26T19:58:26.2228655Z >>> ) 2025-08-26T19:58:26.2228756Z >>> 2025-08-26T19:58:26.2228980Z >>> # In the first 100 steps, DDP runs global gradient averaging at every step. 2025-08-26T19:58:26.2229281Z >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default), 2025-08-26T19:58:26.2229683Z >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer. 2025-08-26T19:58:26.2229788Z >>> for step in range(0, 200): 2025-08-26T19:58:26.2229903Z >>> opt.zero_grad() 2025-08-26T19:58:26.2230012Z >>> loss = loss_fn(output, labels) 2025-08-26T19:58:26.2230112Z >>> loss.backward() 2025-08-26T19:58:26.2230218Z >>> opt.step() 2025-08-26T19:58:26.2230223Z 2025-08-26T19:58:26.2230478Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.2230482Z 2025-08-26T19:58:26.2337054Z msg = Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284. 2025-08-26T19:58:26.2337327Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.2337333Z 2025-08-26T19:58:26.2337771Z Wrap an arbitrary :class:`optim.Optimizer ` and shards its states across ranks in the group. 2025-08-26T19:58:26.2337780Z 2025-08-26T19:58:26.2338027Z The sharing is done as described by `ZeRO `_. 2025-08-26T19:58:26.2338032Z 2025-08-26T19:58:26.2338195Z The local optimizer instance in each rank is only 2025-08-26T19:58:26.2338469Z responsible for updating approximately ``1 / world_size`` parameters and 2025-08-26T19:58:26.2338668Z hence only needs to keep ``1 / world_size`` optimizer states. After 2025-08-26T19:58:26.2338927Z parameters are updated locally, each rank will broadcast its parameters to 2025-08-26T19:58:26.2339110Z all other peers to keep all model replicas in the same state. 2025-08-26T19:58:26.2339317Z ``ZeroRedundancyOptimizer`` can be used in conjunction with 2025-08-26T19:58:26.2339575Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak 2025-08-26T19:58:26.2339674Z memory consumption. 2025-08-26T19:58:26.2339771Z 2025-08-26T19:58:26.2340049Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number 2025-08-26T19:58:26.2340357Z of parameters at each rank. Each parameter belongs to a single rank and is 2025-08-26T19:58:26.2340597Z not divided among ranks. The partition is arbitrary and might not match the 2025-08-26T19:58:26.2340727Z the parameter registration or usage order. 2025-08-26T19:58:26.2340731Z 2025-08-26T19:58:26.2340834Z Arguments: 2025-08-26T19:58:26.2341025Z params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s 2025-08-26T19:58:26.2341227Z or :class:`dict` s giving all parameters, which will be sharded 2025-08-26T19:58:26.2341323Z across ranks. 2025-08-26T19:58:26.2341327Z 2025-08-26T19:58:26.2341415Z Keyword Args: 2025-08-26T19:58:26.2341650Z optimizer_class (:class:`torch.nn.Optimizer`): the class of the local 2025-08-26T19:58:26.2341739Z optimizer. 2025-08-26T19:58:26.2341963Z process_group (``ProcessGroup``, optional): ``torch.distributed`` 2025-08-26T19:58:26.2342236Z ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by 2025-08-26T19:58:26.2342388Z :meth:`torch.distributed.init_process_group`). 2025-08-26T19:58:26.2342628Z parameters_as_bucket_view (bool, optional): if ``True``, parameters are 2025-08-26T19:58:26.2342839Z packed into buckets to speed up communication, and ``param.data`` 2025-08-26T19:58:26.2343057Z fields point to bucket views at different offsets; if ``False``, 2025-08-26T19:58:26.2343264Z each individual parameter is communicated separately, and each 2025-08-26T19:58:26.2343414Z ``params.data`` stays intact (default: ``False``). 2025-08-26T19:58:26.2343622Z overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is 2025-08-26T19:58:26.2343820Z overlapped with :class:`DistributedDataParallel` 's gradient 2025-08-26T19:58:26.2344050Z synchronization; this requires (1) either a functional optimizer 2025-08-26T19:58:26.2344234Z for the ``optimizer_class`` argument or one with a functional 2025-08-26T19:58:26.2344417Z equivalent and (2) registering a DDP communication hook 2025-08-26T19:58:26.2344635Z constructed from one of the functions in ``ddp_zero_hook.py``; 2025-08-26T19:58:26.2344801Z parameters are packed into buckets matching those in 2025-08-26T19:58:26.2344966Z :class:`DistributedDataParallel`, meaning that the 2025-08-26T19:58:26.2345113Z ``parameters_as_bucket_view`` argument is ignored. 2025-08-26T19:58:26.2345311Z If ``False``, :meth:`step` runs disjointly after the backward pass 2025-08-26T19:58:26.2345403Z (per normal). 2025-08-26T19:58:26.2345503Z (default: ``False``) 2025-08-26T19:58:26.2345729Z **defaults: any trailing arguments, which are forwarded to the local 2025-08-26T19:58:26.2345819Z optimizer. 2025-08-26T19:58:26.2345824Z 2025-08-26T19:58:26.2345937Z Example:: 2025-08-26T19:58:26.2345941Z 2025-08-26T19:58:26.2346041Z >>> # xdoctest: +SKIP 2025-08-26T19:58:26.2346141Z >>> import torch.nn as nn 2025-08-26T19:58:26.2346364Z >>> from torch.distributed.optim import ZeroRedundancyOptimizer 2025-08-26T19:58:26.2346564Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2025-08-26T19:58:26.2346807Z >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)]) 2025-08-26T19:58:26.2346925Z >>> ddp = DDP(model, device_ids=[rank]) 2025-08-26T19:58:26.2347044Z >>> opt = ZeroRedundancyOptimizer( 2025-08-26T19:58:26.2347163Z >>> ddp.parameters(), 2025-08-26T19:58:26.2347284Z >>> optimizer_class=torch.optim.Adam, 2025-08-26T19:58:26.2347370Z >>> lr=0.01 2025-08-26T19:58:26.2347470Z >>> ) 2025-08-26T19:58:26.2347578Z >>> ddp(inputs).sum().backward() 2025-08-26T19:58:26.2347683Z >>> opt.step() 2025-08-26T19:58:26.2347687Z 2025-08-26T19:58:26.2347777Z .. warning:: 2025-08-26T19:58:26.2347985Z Currently, ``ZeroRedundancyOptimizer`` requires that all of the 2025-08-26T19:58:26.2348198Z passed-in parameters are the same dense type. 2025-08-26T19:58:26.2348235Z 2025-08-26T19:58:26.2348325Z .. warning:: 2025-08-26T19:58:26.2348549Z If you pass ``overlap_with_ddp=True``, be wary of the following: Given 2025-08-26T19:58:26.2348750Z the way that overlapping :class:`DistributedDataParallel` with 2025-08-26T19:58:26.2348998Z :class:`ZeroRedundancyOptimizer` is currently implemented, the first 2025-08-26T19:58:26.2349211Z two or three training iterations do not perform parameter updates in 2025-08-26T19:58:26.2349401Z the optimizer step, depending on if ``static_graph=False`` or 2025-08-26T19:58:26.2349602Z ``static_graph=True``, respectively. This is because it needs 2025-08-26T19:58:26.2349787Z information about the gradient bucketing strategy used by 2025-08-26T19:58:26.2350023Z :class:`DistributedDataParallel`, which is not finalized until the 2025-08-26T19:58:26.2350226Z second forward pass if ``static_graph=False`` or until the third 2025-08-26T19:58:26.2350490Z forward pass if ``static_graph=True``. To adjust for this, one option 2025-08-26T19:58:26.2350616Z is to prepend dummy inputs. 2025-08-26T19:58:26.2350620Z 2025-08-26T19:58:26.2350874Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change. 2025-08-26T19:58:26.2350879Z 2025-08-26T19:58:26.2351144Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.2351149Z 2025-08-26T19:58:26.2567212Z msg = Cannot scrape callname=_CustomReducer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py line=29. 2025-08-26T19:58:26.2567494Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.2567501Z 2025-08-26T19:58:26.2567729Z Custom reducer class that can be used to specify a custom operation that 2025-08-26T19:58:26.2567904Z reduces losses of multiple microbatches into one value. 2025-08-26T19:58:26.2567931Z 2025-08-26T19:58:26.2568018Z Example: 2025-08-26T19:58:26.2568121Z >>> # xdoctest: +SKIP 2025-08-26T19:58:26.2568245Z >>> sum_reducer = _CustomReducer( 2025-08-26T19:58:26.2568345Z >>> torch.tensor(0.0), 2025-08-26T19:58:26.2568439Z >>> lambda a, b: a + b 2025-08-26T19:58:26.2568536Z >>> ) 2025-08-26T19:58:26.2568540Z 2025-08-26T19:58:26.2568793Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.2568797Z 2025-08-26T19:58:26.3092505Z msg = Cannot scrape callname=async_execution in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/functions.py line=6. 2025-08-26T19:58:26.3093562Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.3093987Z 2025-08-26T19:58:26.3094246Z A decorator for a function indicating that the return value of the function 2025-08-26T19:58:26.3094826Z is guaranteed to be a :class:`~torch.futures.Future` object and this 2025-08-26T19:58:26.3095402Z function can run asynchronously on the RPC callee. More specifically, the 2025-08-26T19:58:26.3096035Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped 2025-08-26T19:58:26.3096634Z function and installs subsequent processing steps as a callback to that 2025-08-26T19:58:26.3097228Z :class:`~torch.futures.Future`. The installed callback will read the value 2025-08-26T19:58:26.3097786Z from the :class:`~torch.futures.Future` when completed and send the 2025-08-26T19:58:26.3098280Z value back as the RPC response. That also means the returned 2025-08-26T19:58:26.3098812Z :class:`~torch.futures.Future` only exists on the callee side and is never 2025-08-26T19:58:26.3099392Z sent through RPC. This decorator is useful when the wrapped function's 2025-08-26T19:58:26.3099941Z (``fn``) execution needs to pause and resume due to, e.g., containing 2025-08-26T19:58:26.3100473Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals. 2025-08-26T19:58:26.3100828Z 2025-08-26T19:58:26.3101208Z .. note:: To enable asynchronous execution, applications must pass the 2025-08-26T19:58:26.3101836Z function object returned by this decorator to RPC APIs. If RPC detected 2025-08-26T19:58:26.3102415Z attributes installed by this decorator, it knows that this function 2025-08-26T19:58:26.3102941Z returns a ``Future`` object and will handle that accordingly. 2025-08-26T19:58:26.3103444Z However, this does not mean this decorator has to be outmost one when 2025-08-26T19:58:26.3104009Z defining a function. For example, when combined with ``@staticmethod`` 2025-08-26T19:58:26.3104574Z or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the 2025-08-26T19:58:26.3105131Z inner decorator to allow the target function be recognized as a static 2025-08-26T19:58:26.3105695Z or class function. This target function can still execute asynchronously 2025-08-26T19:58:26.3106279Z because, when accessed, the static or class method preserves attributes 2025-08-26T19:58:26.3106793Z installed by ``@rpc.functions.async_execution``. 2025-08-26T19:58:26.3107175Z 2025-08-26T19:58:26.3107195Z 2025-08-26T19:58:26.3107290Z Example:: 2025-08-26T19:58:26.3107624Z The returned :class:`~torch.futures.Future` object can come from 2025-08-26T19:58:26.3108070Z :meth:`~torch.distributed.rpc.rpc_async`, 2025-08-26T19:58:26.3108544Z :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future` 2025-08-26T19:58:26.3109077Z constructor. The example below shows directly using the 2025-08-26T19:58:26.3109512Z :class:`~torch.futures.Future` returned by 2025-08-26T19:58:26.3109866Z :meth:`~torch.futures.Future.then`. 2025-08-26T19:58:26.3110104Z 2025-08-26T19:58:26.3110223Z >>> from torch.distributed import rpc 2025-08-26T19:58:26.3110543Z >>> 2025-08-26T19:58:26.3110778Z >>> # omitting setup and shutdown RPC 2025-08-26T19:58:26.3111077Z >>> 2025-08-26T19:58:26.3111295Z >>> # On all workers 2025-08-26T19:58:26.3111584Z >>> @rpc.functions.async_execution 2025-08-26T19:58:26.3111931Z >>> def async_add_chained(to, x, y, z): 2025-08-26T19:58:26.3112338Z >>> # This function runs on "worker1" and returns immediately when 2025-08-26T19:58:26.3112847Z >>> # the callback is installed through the `then(cb)` API. In the 2025-08-26T19:58:26.3113422Z >>> # mean time, the `rpc_async` to "worker2" can run concurrently. 2025-08-26T19:58:26.3113899Z >>> # When the return value of that `rpc_async` arrives at 2025-08-26T19:58:26.3114370Z >>> # "worker1", "worker1" will run the lambda function accordingly 2025-08-26T19:58:26.3114859Z >>> # and set the value for the previously returned `Future`, which 2025-08-26T19:58:26.3115359Z >>> # will then trigger RPC to send the result back to "worker0". 2025-08-26T19:58:26.3115839Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-26T19:58:26.3116240Z >>> lambda fut: fut.wait() + z 2025-08-26T19:58:26.3116534Z >>> ) 2025-08-26T19:58:26.3116752Z >>> 2025-08-26T19:58:26.3116968Z >>> # On worker0 2025-08-26T19:58:26.3117226Z >>> # xdoctest: +SKIP 2025-08-26T19:58:26.3117488Z >>> ret = rpc.rpc_sync( 2025-08-26T19:58:26.3117761Z >>> "worker1", 2025-08-26T19:58:26.3118017Z >>> async_add_chained, 2025-08-26T19:58:26.3118324Z >>> args=("worker2", torch.ones(2), 1, 1) 2025-08-26T19:58:26.3118634Z >>> ) 2025-08-26T19:58:26.3118876Z >>> print(ret) # prints tensor([3., 3.]) 2025-08-26T19:58:26.3119113Z 2025-08-26T19:58:26.3119341Z When combined with TorchScript decorators, this decorator must be the 2025-08-26T19:58:26.3119782Z outmost one. 2025-08-26T19:58:26.3119922Z 2025-08-26T19:58:26.3120040Z >>> from torch import Tensor 2025-08-26T19:58:26.3120343Z >>> from torch.futures import Future 2025-08-26T19:58:26.3120690Z >>> from torch.distributed import rpc 2025-08-26T19:58:26.3121006Z >>> 2025-08-26T19:58:26.3121242Z >>> # omitting setup and shutdown RPC 2025-08-26T19:58:26.3121590Z >>> 2025-08-26T19:58:26.3121812Z >>> # On all workers 2025-08-26T19:58:26.3122122Z >>> @torch.jit.script 2025-08-26T19:58:26.3122432Z >>> def script_add(x: Tensor, y: Tensor) -> Tensor: 2025-08-26T19:58:26.3122792Z >>> return x + y 2025-08-26T19:58:26.3123050Z >>> 2025-08-26T19:58:26.3123288Z >>> @rpc.functions.async_execution 2025-08-26T19:58:26.3123595Z >>> @torch.jit.script 2025-08-26T19:58:26.3123958Z >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]: 2025-08-26T19:58:26.3124412Z >>> return rpc.rpc_async(to, script_add, (x, y)) 2025-08-26T19:58:26.3124755Z >>> 2025-08-26T19:58:26.3124952Z >>> # On worker0 2025-08-26T19:58:26.3125206Z >>> ret = rpc.rpc_sync( 2025-08-26T19:58:26.3125478Z >>> "worker1", 2025-08-26T19:58:26.3125727Z >>> async_add, 2025-08-26T19:58:26.3125988Z >>> args=("worker2", torch.ones(2), 1) 2025-08-26T19:58:26.3126306Z >>> ) 2025-08-26T19:58:26.3126554Z >>> print(ret) # prints tensor([2., 2.]) 2025-08-26T19:58:26.3126780Z 2025-08-26T19:58:26.3127080Z When combined with static or class method, this decorator must be the 2025-08-26T19:58:26.3127516Z inner one. 2025-08-26T19:58:26.3127649Z 2025-08-26T19:58:26.3127766Z >>> from torch.distributed import rpc 2025-08-26T19:58:26.3128082Z >>> 2025-08-26T19:58:26.3128321Z >>> # omitting setup and shutdown RPC 2025-08-26T19:58:26.3128638Z >>> 2025-08-26T19:58:26.3128840Z >>> # On all workers 2025-08-26T19:58:26.3129125Z >>> class AsyncExecutionClass: 2025-08-26T19:58:26.3129423Z >>> 2025-08-26T19:58:26.3129637Z >>> @staticmethod 2025-08-26T19:58:26.3129914Z >>> @rpc.functions.async_execution 2025-08-26T19:58:26.3130261Z >>> def static_async_add(to, x, y, z): 2025-08-26T19:58:26.3130661Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-26T19:58:26.3131069Z >>> lambda fut: fut.wait() + z 2025-08-26T19:58:26.3131373Z >>> ) 2025-08-26T19:58:26.3131599Z >>> 2025-08-26T19:58:26.3131814Z >>> @classmethod 2025-08-26T19:58:26.3132098Z >>> @rpc.functions.async_execution 2025-08-26T19:58:26.3132436Z >>> def class_async_add(cls, to, x, y, z): 2025-08-26T19:58:26.3132798Z >>> ret_fut = torch.futures.Future() 2025-08-26T19:58:26.3133179Z >>> rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-26T19:58:26.3133599Z >>> lambda fut: ret_fut.set_result(fut.wait() + z) 2025-08-26T19:58:26.3133938Z >>> ) 2025-08-26T19:58:26.3134176Z >>> return ret_fut 2025-08-26T19:58:26.3134447Z >>> 2025-08-26T19:58:26.3134687Z >>> @rpc.functions.async_execution 2025-08-26T19:58:26.3135027Z >>> def bound_async_add(self, to, x, y, z): 2025-08-26T19:58:26.3135437Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-26T19:58:26.3135846Z >>> lambda fut: fut.wait() + z 2025-08-26T19:58:26.3136165Z >>> ) 2025-08-26T19:58:26.3136378Z >>> 2025-08-26T19:58:26.3136606Z >>> # On worker0 2025-08-26T19:58:26.3136862Z >>> ret = rpc.rpc_sync( 2025-08-26T19:58:26.3137127Z >>> "worker1", 2025-08-26T19:58:26.3137421Z >>> AsyncExecutionClass.static_async_add, 2025-08-26T19:58:26.3137796Z >>> args=("worker2", torch.ones(2), 1, 2) 2025-08-26T19:58:26.3138120Z >>> ) 2025-08-26T19:58:26.3138351Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-26T19:58:26.3138674Z >>> 2025-08-26T19:58:26.3138900Z >>> ret = rpc.rpc_sync( 2025-08-26T19:58:26.3139175Z >>> "worker1", 2025-08-26T19:58:26.3139499Z >>> AsyncExecutionClass.class_async_add, 2025-08-26T19:58:26.3139971Z >>> args=("worker2", torch.ones(2), 1, 2) 2025-08-26T19:58:26.3140298Z >>> ) 2025-08-26T19:58:26.3140552Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-26T19:58:26.3140887Z 2025-08-26T19:58:26.3141168Z This decorator also works with RRef helpers, i.e., . 2025-08-26T19:58:26.3141658Z :meth:`torch.distributed.rpc.RRef.rpc_sync`, 2025-08-26T19:58:26.3142113Z :meth:`torch.distributed.rpc.RRef.rpc_async`, and 2025-08-26T19:58:26.3142535Z :meth:`torch.distributed.rpc.RRef.remote`. 2025-08-26T19:58:26.3142785Z 2025-08-26T19:58:26.3142919Z >>> from torch.distributed import rpc 2025-08-26T19:58:26.3143223Z >>> 2025-08-26T19:58:26.3143480Z >>> # reuse the AsyncExecutionClass class above 2025-08-26T19:58:26.3143893Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-08-26T19:58:26.3144379Z >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2) 2025-08-26T19:58:26.3144818Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-26T19:58:26.3145134Z >>> 2025-08-26T19:58:26.3145405Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-08-26T19:58:26.3145913Z >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait() 2025-08-26T19:58:26.3146379Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-26T19:58:26.3146695Z >>> 2025-08-26T19:58:26.3147054Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-08-26T19:58:26.3147555Z >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here() 2025-08-26T19:58:26.3148023Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-26T19:58:26.3148264Z 2025-08-26T19:58:26.3148516Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.3148898Z 2025-08-26T19:58:26.3149636Z msg = Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/options.py line=113. 2025-08-26T19:58:26.3150722Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.3151112Z 2025-08-26T19:58:26.3151316Z Set device mapping between each RPC caller and callee pair. This 2025-08-26T19:58:26.3151832Z function can be called multiple times to incrementally add 2025-08-26T19:58:26.3152240Z device placement configurations. 2025-08-26T19:58:26.3152463Z 2025-08-26T19:58:26.3152546Z Args: 2025-08-26T19:58:26.3152770Z to (str): Callee name. 2025-08-26T19:58:26.3153221Z device_map (Dict of int, str, or torch.device): Device placement 2025-08-26T19:58:26.3153727Z mappings from this worker to the callee. This map must be 2025-08-26T19:58:26.3154107Z invertible. 2025-08-26T19:58:26.3154265Z 2025-08-26T19:58:26.3154352Z Example: 2025-08-26T19:58:26.3154750Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:26.3155076Z >>> # both workers 2025-08-26T19:58:26.3155320Z >>> def add(x, y): 2025-08-26T19:58:26.3155629Z >>> print(x) # tensor([1., 1.], device='cuda:1') 2025-08-26T19:58:26.3156000Z >>> return x + y, (x + y).to(2) 2025-08-26T19:58:26.3156308Z >>> 2025-08-26T19:58:26.3156506Z >>> # on worker 0 2025-08-26T19:58:26.3156799Z >>> options = TensorPipeRpcBackendOptions( 2025-08-26T19:58:26.3157157Z >>> num_worker_threads=8, 2025-08-26T19:58:26.3157475Z >>> device_maps={"worker1": {0: 1}} 2025-08-26T19:58:26.3157817Z >>> # maps worker0's cuda:0 to worker1's cuda:1 2025-08-26T19:58:26.3158149Z >>> ) 2025-08-26T19:58:26.3158406Z >>> options.set_device_map("worker1", {1: 2}) 2025-08-26T19:58:26.3158780Z >>> # maps worker0's cuda:1 to worker1's cuda:2 2025-08-26T19:58:26.3159093Z >>> 2025-08-26T19:58:26.3159307Z >>> rpc.init_rpc( 2025-08-26T19:58:26.3159557Z >>> "worker0", 2025-08-26T19:58:26.3159802Z >>> rank=0, 2025-08-26T19:58:26.3160028Z >>> world_size=2, 2025-08-26T19:58:26.3160330Z >>> backend=rpc.BackendType.TENSORPIPE, 2025-08-26T19:58:26.3160686Z >>> rpc_backend_options=options 2025-08-26T19:58:26.3160990Z >>> ) 2025-08-26T19:58:26.3161184Z >>> 2025-08-26T19:58:26.3161399Z >>> x = torch.ones(2) 2025-08-26T19:58:26.3161733Z >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1)) 2025-08-26T19:58:26.3162283Z >>> # The first argument will be moved to cuda:1 on worker1. When 2025-08-26T19:58:26.3162824Z >>> # sending the return value back, it will follow the invert of 2025-08-26T19:58:26.3163306Z >>> # the device map, and hence will be moved back to cuda:0 and 2025-08-26T19:58:26.3163703Z >>> # cuda:1 on worker0 2025-08-26T19:58:26.3164027Z >>> print(rets[0]) # tensor([2., 2.], device='cuda:0') 2025-08-26T19:58:26.3164423Z >>> print(rets[1]) # tensor([2., 2.], device='cuda:1') 2025-08-26T19:58:26.3164694Z 2025-08-26T19:58:26.3164947Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.3165330Z 2025-08-26T19:58:26.3173327Z msg = Cannot scrape callname=_server_process_global_profile in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19. 2025-08-26T19:58:26.3174460Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.3174848Z 2025-08-26T19:58:26.3175176Z It has the same API as ``torch.autograd.profiler.profile`` class, 2025-08-26T19:58:26.3175782Z except that it enables profiling on all threads running RPC server request callbacks. 2025-08-26T19:58:26.3176181Z 2025-08-26T19:58:26.3176460Z Context manager that manages autograd profiler state and holds a summary of results. 2025-08-26T19:58:26.3177109Z Under the hood it just records events of functions being executed in C++ and 2025-08-26T19:58:26.3177704Z exposes those events to Python. You can wrap any code into it and it will 2025-08-26T19:58:26.3178193Z only report runtime of PyTorch functions. 2025-08-26T19:58:26.3178708Z Note: profiler is thread local and is automatically propagated into the async tasks 2025-08-26T19:58:26.3179096Z 2025-08-26T19:58:26.3179178Z Args: 2025-08-26T19:58:26.3179570Z enabled (bool, optional): Setting this to False makes this context manager a no-op. 2025-08-26T19:58:26.3180066Z Default: ``True``. 2025-08-26T19:58:26.3180239Z 2025-08-26T19:58:26.3180543Z use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API. 2025-08-26T19:58:26.3181147Z Adds approximately 4us of overhead to each tensor operation. 2025-08-26T19:58:26.3181567Z Default: ``False`` 2025-08-26T19:58:26.3181750Z 2025-08-26T19:58:26.3181977Z record_shapes (bool, optional): If shapes recording is set, information 2025-08-26T19:58:26.3182561Z about input dimensions will be collected. This allows one to see which 2025-08-26T19:58:26.3183134Z dimensions have been used under the hood and further group by them 2025-08-26T19:58:26.3183677Z using prof.key_averages(group_by_input_shape=True). Please note that 2025-08-26T19:58:26.3184270Z shape recording might skew your profiling data. It is recommended to 2025-08-26T19:58:26.3184861Z use separate runs with and without shape recording to validate the timing. 2025-08-26T19:58:26.3185458Z Most likely the skew will be negligible for bottom most events (in a case 2025-08-26T19:58:26.3186040Z of nested function calls). But for higher level functions the total 2025-08-26T19:58:26.3186577Z self cpu time might be artificially increased because of the shape 2025-08-26T19:58:26.3187006Z collection. 2025-08-26T19:58:26.3187167Z 2025-08-26T19:58:26.3187439Z profile_memory (bool, optional): Whether to report memory usage, default: ``False`` 2025-08-26T19:58:26.3187830Z 2025-08-26T19:58:26.3187951Z .. warning:: 2025-08-26T19:58:26.3188298Z Enabling memory profiling incurs additional profiler overhead 2025-08-26T19:58:26.3188617Z 2025-08-26T19:58:26.3188709Z .. warning:: 2025-08-26T19:58:26.3189143Z Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`), 2025-08-26T19:58:26.3189767Z one cannot use the profiler with ``use_cuda = True`` to benchmark 2025-08-26T19:58:26.3190328Z DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading, 2025-08-26T19:58:26.3190868Z please use ``use_cuda = False`` or ``num_workers = 0``. 2025-08-26T19:58:26.3191199Z 2025-08-26T19:58:26.3191285Z Example: 2025-08-26T19:58:26.3191511Z >>> # xdoctest: +SKIP 2025-08-26T19:58:26.3191783Z >>> # On worker 0: 2025-08-26T19:58:26.3192022Z >>> import torch 2025-08-26T19:58:26.3192302Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:26.3192689Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-26T19:58:26.3193134Z >>> x, y = torch.tensor(1), torch.tensor(2) 2025-08-26T19:58:26.3193497Z >>> outer_profile_rref = rpc.remote( 2025-08-26T19:58:26.3193871Z ... dst_worker_name, rpc._server_process_global_profile 2025-08-26T19:58:26.3194243Z ... ) 2025-08-26T19:58:26.3194496Z >>> outer_profile_rref.rpc_sync().__enter__() 2025-08-26T19:58:26.3194892Z >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y)) 2025-08-26T19:58:26.3195257Z >>> inner_profile_rref = rpc.remote( 2025-08-26T19:58:26.3195646Z ... dst_worker_name, rpc._server_process_global_profile 2025-08-26T19:58:26.3196017Z ... ) 2025-08-26T19:58:26.3196340Z >>> inner_profile_rref.rpc_sync().__enter__() 2025-08-26T19:58:26.3196725Z >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y)) 2025-08-26T19:58:26.3197164Z >>> inner_profile_rref.rpc_sync().__exit__(None, None, None) 2025-08-26T19:58:26.3197637Z >>> outer_profile_rref.rpc_sync().__exit__(None, None, None) 2025-08-26T19:58:26.3198098Z >>> print(inner_profile_rref.rpc_sync().key_averages()) 2025-08-26T19:58:26.3198599Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-26T19:58:26.3199274Z Name Self CPU total % Self CPU total CPU total % CPU total CPU time avg Number of Calls 2025-08-26T19:58:26.3199936Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-26T19:58:26.3200484Z sub 85.06% 76.275us 100.00% 89.667us 89.667us 1 2025-08-26T19:58:26.3200996Z empty 14.94% 13.392us 14.94% 13.392us 13.392us 1 2025-08-26T19:58:26.3201526Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-26T19:58:26.3202030Z Self CPU time total: 89.667us 2025-08-26T19:58:26.3202398Z >>> print(outer_profile_rref.rpc_sync().key_averages()) 2025-08-26T19:58:26.3202902Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-26T19:58:26.3203560Z Name Self CPU total % Self CPU total CPU total % CPU total CPU time avg Number of Calls 2025-08-26T19:58:26.3204202Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-26T19:58:26.3204737Z sub 35.65% 76.275us 41.91% 89.667us 89.667us 1 2025-08-26T19:58:26.3205238Z empty 12.67% 27.101us 12.67% 27.101us 13.551us 2 2025-08-26T19:58:26.3205740Z add 51.68% 110.550us 58.09% 124.259us 124.259us 1 2025-08-26T19:58:26.3206278Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-26T19:58:26.3206724Z Self CPU time total: 213.926us 2025-08-26T19:58:26.3207033Z >>> rpc.shutdown() 2025-08-26T19:58:26.3207206Z 2025-08-26T19:58:26.3207298Z >>> # On worker 1: 2025-08-26T19:58:26.3207585Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:26.3207949Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-26T19:58:26.3208362Z >>> # wait for worker 0 to finish work, and then shutdown. 2025-08-26T19:58:26.3208736Z >>> rpc.shutdown() 2025-08-26T19:58:26.3208889Z 2025-08-26T19:58:26.3209154Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.3209583Z 2025-08-26T19:58:26.4424037Z msg = Cannot scrape callname=local_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35. 2025-08-26T19:58:26.4425175Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.4425581Z 2025-08-26T19:58:26.4425850Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s 2025-08-26T19:58:26.4426524Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting 2025-08-26T19:58:26.4427182Z the local components of :class:`DTensor`, call the function, and wrap the outputs to 2025-08-26T19:58:26.4427738Z :class:`DTensor` according to the ``out_placements``. 2025-08-26T19:58:26.4428020Z 2025-08-26T19:58:26.4428106Z Args: 2025-08-26T19:58:26.4428437Z func (Callable): the function to be applied on each local shard of 2025-08-26T19:58:26.4428874Z :class:`DTensor` s. 2025-08-26T19:58:26.4429513Z out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]): 2025-08-26T19:58:26.4430137Z the desired placements of the :class:`DTensor` s in ``func``'s flattened output. 2025-08-26T19:58:26.4430763Z If the flattened ``output`` is a single value, the ``out_placements`` should be 2025-08-26T19:58:26.4431381Z of type `PlacementType`. Otherwise if the flattened ``output`` has multiple 2025-08-26T19:58:26.4431990Z values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1 2025-08-26T19:58:26.4432492Z mapping to the flattened ``output``. 2025-08-26T19:58:26.4432931Z Besides, for :class:`Tensor` output, we use `PlacementType` as its 2025-08-26T19:58:26.4433647Z placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType` 2025-08-26T19:58:26.4434152Z should be `None`. 2025-08-26T19:58:26.4434557Z Note that the only exception is when no :class:`DTensor` argument is passed 2025-08-26T19:58:26.4435158Z in. In this case, even if `out_placements` is not `None`, the result function 2025-08-26T19:58:26.4435770Z should ignore the desired placements because the function is not running with 2025-08-26T19:58:26.4436259Z :class:`DTensor` s. 2025-08-26T19:58:26.4436595Z in_placements (Tuple[`PlacementType`, ...], optional): 2025-08-26T19:58:26.4437161Z the required placements of the :class:`DTensor` s in the flattened inputs of ``func``. 2025-08-26T19:58:26.4437809Z If ``in_placements`` is specified, :meth:`local_map` would examine whether the 2025-08-26T19:58:26.4438406Z placements of each :class:`DTensor` argument is the same as the required 2025-08-26T19:58:26.4438944Z placements or not. If the placements are not the same and 2025-08-26T19:58:26.4439477Z ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if 2025-08-26T19:58:26.4440097Z ``redistribute_inputs`` is ``True``, the argument will be first redistributed to 2025-08-26T19:58:26.4441002Z the required sharding placements before passing its local tensor to ``func``. 2025-08-26T19:58:26.4441978Z The only exception is when required placements are not ``None`` and the 2025-08-26T19:58:26.4442957Z argument is a :class:`torch.Tensor`. In this case, the placements examination 2025-08-26T19:58:26.4443540Z will be skipped and the argument will be directly passed to ``func``. 2025-08-26T19:58:26.4444117Z If ``in_placements`` is ``None``, no placements examination will be performed. 2025-08-26T19:58:26.4444570Z Default: None 2025-08-26T19:58:26.4444922Z in_grad_placements (Tuple[`PlacementType`, ...], optional): 2025-08-26T19:58:26.4445431Z the placements hint of the :class:`DTensor` s gradient corresponds 2025-08-26T19:58:26.4445989Z to the flattened input DTensor. This argument is the hint that user 2025-08-26T19:58:26.4446631Z can give to :meth:`to_local` in case the gradient layout of the 2025-08-26T19:58:26.4447223Z local tensor input does not match its :class:`DTensor` input layout. 2025-08-26T19:58:26.4447782Z If not specified, we will assume the gradient layout of the local 2025-08-26T19:58:26.4448318Z tensor input remains the same as the original :class:`DTensor` input 2025-08-26T19:58:26.4448834Z and use that for gradient computation. Default: None. 2025-08-26T19:58:26.4449264Z device_mesh (:class:`DeviceMesh`, optional): 2025-08-26T19:58:26.4449751Z the device mesh that the output :class:`DTensor` s are placed on. If not 2025-08-26T19:58:26.4450342Z specified, this will be inferred from the first input :class:`DTensor`'s device 2025-08-26T19:58:26.4450832Z mesh. Default: None. 2025-08-26T19:58:26.4451028Z 2025-08-26T19:58:26.4451119Z Keyword Args: 2025-08-26T19:58:26.4451381Z redistribute_inputs (bool, optional): 2025-08-26T19:58:26.4451863Z the bool value indicating whether to reshard the input :class:`DTensor` s when 2025-08-26T19:58:26.4452582Z their placements are different from the required input placements. If this 2025-08-26T19:58:26.4453191Z value is ``False`` and some :class:`DTensor` input has a different placement, 2025-08-26T19:58:26.4453689Z an exception will be raised. Default: False. 2025-08-26T19:58:26.4453936Z 2025-08-26T19:58:26.4454035Z Returns: 2025-08-26T19:58:26.4454403Z A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor` 2025-08-26T19:58:26.4455239Z and returns a :class:`DTensor` constructed from the return value of ``func``. 2025-08-26T19:58:26.4455618Z 2025-08-26T19:58:26.4455704Z Raises: 2025-08-26T19:58:26.4456074Z AssertionError: For any non-DTensor output, we require its corresponding 2025-08-26T19:58:26.4456688Z output placement in ``out_placements`` be None. An AssertionError will be raised 2025-08-26T19:58:26.4457178Z if this is not the case. 2025-08-26T19:58:26.4457390Z 2025-08-26T19:58:26.4457661Z ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs 2025-08-26T19:58:26.4458212Z a redistribution according to ``in_placements``. 2025-08-26T19:58:26.4458474Z 2025-08-26T19:58:26.4458574Z Example: 2025-08-26T19:58:26.4458799Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:26.4459171Z >>> def mm_allreduce_forward(device_mesh, W, X): 2025-08-26T19:58:26.4459560Z >>> partial_sum_tensor = torch.mm(W, X) 2025-08-26T19:58:26.4460052Z >>> reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh) 2025-08-26T19:58:26.4460514Z >>> return reduced_tensor 2025-08-26T19:58:26.4460807Z >>> 2025-08-26T19:58:26.4461056Z >>> W = torch.randn(12, 8, requires_grad=False) 2025-08-26T19:58:26.4461429Z >>> X = torch.randn(8, 16, requires_grad=False) 2025-08-26T19:58:26.4461758Z >>> Y = torch.mm(W, X) 2025-08-26T19:58:26.4462128Z >>> row_wise = [Shard(0)] # row-wise sharding placements on 1-d mesh 2025-08-26T19:58:26.4462639Z >>> col_wise = [Shard(1)] # col-wise sharding placements on 1-d mesh 2025-08-26T19:58:26.4463031Z >>> 2025-08-26T19:58:26.4463413Z >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor conversion 2025-08-26T19:58:26.4463939Z >>> local_mm_allreduce_forward = local_map( 2025-08-26T19:58:26.4464288Z >>> mm_allreduce_forward, 2025-08-26T19:58:26.4464610Z >>> out_placements=[Replicate()], 2025-08-26T19:58:26.4464962Z >>> in_placements=[col_wise, row_wise], 2025-08-26T19:58:26.4465291Z >>> device_mesh=device_mesh, 2025-08-26T19:58:26.4465588Z >>> ) 2025-08-26T19:58:26.4465796Z >>> 2025-08-26T19:58:26.4466020Z >>> W_dt = distribute_tensor( 2025-08-26T19:58:26.4466317Z ... W, device_mesh, (col_wise) 2025-08-26T19:58:26.4466642Z ... ) # col-wisely sharded W tensor 2025-08-26T19:58:26.4466966Z >>> X_dt = distribute_tensor( 2025-08-26T19:58:26.4467354Z ... X, device_mesh, (row_wise) 2025-08-26T19:58:26.4467711Z ... ) # row-wisely sharded X tensor 2025-08-26T19:58:26.4468047Z >>> Y_dt = local_mm_allreduce_forward( 2025-08-26T19:58:26.4468382Z ... device_mesh, W_dt, X_dt 2025-08-26T19:58:26.4468735Z ... ) # apply local_mm_allreduce_forward to DTensors 2025-08-26T19:58:26.4468993Z 2025-08-26T19:58:26.4469213Z .. note:: This API is currently experimental and subject to change 2025-08-26T19:58:26.4469532Z 2025-08-26T19:58:26.4469784Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.4470168Z 2025-08-26T19:58:26.4470924Z msg = Cannot scrape callname=register_sharding in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25. 2025-08-26T19:58:26.4472025Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.4472404Z 2025-08-26T19:58:26.4472699Z :meth:`register_sharding` is an experimental API that allows users to register sharding 2025-08-26T19:58:26.4473530Z strategies for an operator when the tensor inputs and outputs are DTensor. 2025-08-26T19:58:26.4474137Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``, 2025-08-26T19:58:26.4474765Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2) 2025-08-26T19:58:26.4475412Z when users would like to overwrite default sharding strategies of existing operators. 2025-08-26T19:58:26.4475804Z 2025-08-26T19:58:26.4475905Z Args: 2025-08-26T19:58:26.4476160Z op (Union[OpOverload, List[OpOverload]]): 2025-08-26T19:58:26.4476584Z An op or a list of ops to register the customized sharding function. 2025-08-26T19:58:26.4476912Z 2025-08-26T19:58:26.4476998Z Returns: 2025-08-26T19:58:26.4477397Z A function decorator which can be used to wrap a function that defines the sharding 2025-08-26T19:58:26.4478069Z strategy for the operator specified in ``op``. The defined sharding strategy will be 2025-08-26T19:58:26.4478741Z registered to DTensor and will override the default sharding strategy if DTensor has 2025-08-26T19:58:26.4479455Z already implemented the operator. The customized sharding function takes the same inputs 2025-08-26T19:58:26.4480135Z as the original op (except that if an arg is a :class:`torch.Tensor`, it will be 2025-08-26T19:58:26.4480785Z replaced by a tensor-like object that DTensor uses internally). The function should 2025-08-26T19:58:26.4481466Z return a sequence of 2-tuples, each specifying acceptable output placements and its 2025-08-26T19:58:26.4481977Z corresponding input placements. 2025-08-26T19:58:26.4482208Z 2025-08-26T19:58:26.4482298Z Example: 2025-08-26T19:58:26.4482542Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:26.4482905Z >>> @register_sharding(aten._softmax.default) 2025-08-26T19:58:26.4483300Z >>> def custom_softmax_sharding(x, dim, half_to_float): 2025-08-26T19:58:26.4483722Z >>> softmax_dim = dim if dim >= 0 else dim + x.ndim 2025-08-26T19:58:26.4484109Z >>> acceptable_shardings = [] 2025-08-26T19:58:26.4484412Z >>> 2025-08-26T19:58:26.4484701Z >>> all_replicate = ([Replicate()], [Replicate(), None, None]) 2025-08-26T19:58:26.4485153Z >>> acceptable_shardings.append(all_replicate) 2025-08-26T19:58:26.4485501Z >>> 2025-08-26T19:58:26.4485749Z >>> for sharding_dim in range(x.ndim): 2025-08-26T19:58:26.4486094Z >>> if sharding_dim != softmax_dim: 2025-08-26T19:58:26.4486446Z >>> all_sharded = ( 2025-08-26T19:58:26.4486769Z >>> [Shard(sharding_dim)], 2025-08-26T19:58:26.4487123Z >>> [Shard(sharding_dim), None, None], 2025-08-26T19:58:26.4487464Z >>> ) 2025-08-26T19:58:26.4487753Z >>> acceptable_shardings.append(all_sharded) 2025-08-26T19:58:26.4488105Z >>> 2025-08-26T19:58:26.4488347Z >>> return acceptable_shardings 2025-08-26T19:58:26.4488605Z 2025-08-26T19:58:26.4488832Z .. note:: This API is currently experimental and subject to change 2025-08-26T19:58:26.4489172Z 2025-08-26T19:58:26.4489423Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.4489815Z 2025-08-26T19:58:26.4686993Z msg = Cannot scrape callname=PrepareModuleInput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=428. 2025-08-26T19:58:26.4688059Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.4688457Z 2025-08-26T19:58:26.4688844Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to 2025-08-26T19:58:26.4689685Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``. 2025-08-26T19:58:26.4690124Z 2025-08-26T19:58:26.4690229Z Keyword Args: 2025-08-26T19:58:26.4690564Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-26T19:58:26.4691755Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2025-08-26T19:58:26.4693015Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2025-08-26T19:58:26.4693622Z as a placeholder. default: None. 2025-08-26T19:58:26.4694088Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-26T19:58:26.4694813Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-26T19:58:26.4695717Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2025-08-26T19:58:26.4696368Z input_kwarg_layouts (Dict[str, Placement]): 2025-08-26T19:58:26.4697000Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2025-08-26T19:58:26.4697602Z default: None 2025-08-26T19:58:26.4697918Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2025-08-26T19:58:26.4698571Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-26T19:58:26.4699409Z have the desired DTensor layouts. default: None. 2025-08-26T19:58:26.4699835Z use_local_output (bool, optional): 2025-08-26T19:58:26.4700846Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2025-08-26T19:58:26.4701428Z Returns: 2025-08-26T19:58:26.4701875Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs. 2025-08-26T19:58:26.4702312Z 2025-08-26T19:58:26.4702430Z Example:: 2025-08-26T19:58:26.4702666Z >>> # xdoctest: +SKIP(failing) 2025-08-26T19:58:26.4703176Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput 2025-08-26T19:58:26.4703821Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-08-26T19:58:26.4704219Z >>> ... 2025-08-26T19:58:26.4704691Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-08-26T19:58:26.4705237Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-08-26T19:58:26.4705564Z >>> 2025-08-26T19:58:26.4706031Z >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor 2025-08-26T19:58:26.4706638Z >>> # and then redistributed to Replicated DTensor. 2025-08-26T19:58:26.4706992Z >>> parallelize_module( 2025-08-26T19:58:26.4707345Z >>> block, # this can be a submodule or module 2025-08-26T19:58:26.4707689Z >>> tp_mesh, 2025-08-26T19:58:26.4707950Z >>> parallelize_plan={ 2025-08-26T19:58:26.4708272Z >>> "attn": PrepareModuleInput( 2025-08-26T19:58:26.4708631Z >>> input_layouts=(Shard(0), None, None, ...), 2025-08-26T19:58:26.4709151Z >>> desired_input_layouts=(Replicate(), None, None, ...) 2025-08-26T19:58:26.4709575Z >>> ), 2025-08-26T19:58:26.4709806Z >>> } 2025-08-26T19:58:26.4710014Z >>> ) 2025-08-26T19:58:26.4710149Z 2025-08-26T19:58:26.4710404Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.4710791Z 2025-08-26T19:58:26.4711460Z msg = Cannot scrape callname=PrepareModuleOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=597. 2025-08-26T19:58:26.4712505Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.4712884Z 2025-08-26T19:58:26.4713371Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to 2025-08-26T19:58:26.4714233Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``. 2025-08-26T19:58:26.4714690Z 2025-08-26T19:58:26.4714779Z Keyword Args: 2025-08-26T19:58:26.4715163Z output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-26T19:58:26.4715788Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2025-08-26T19:58:26.4716636Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2025-08-26T19:58:26.4717292Z ``None`` need to be specified as a placeholder. 2025-08-26T19:58:26.4717739Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-26T19:58:26.4718452Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2025-08-26T19:58:26.4719088Z have the desired DTensor layouts. 2025-08-26T19:58:26.4719435Z use_local_output (bool, optional): 2025-08-26T19:58:26.4720007Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2025-08-26T19:58:26.4720584Z Returns: 2025-08-26T19:58:26.4721013Z A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs. 2025-08-26T19:58:26.4721428Z 2025-08-26T19:58:26.4721533Z Example:: 2025-08-26T19:58:26.4721766Z >>> # xdoctest: +SKIP(failing) 2025-08-26T19:58:26.4722279Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput 2025-08-26T19:58:26.4722920Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-08-26T19:58:26.4723318Z >>> ... 2025-08-26T19:58:26.4723756Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-08-26T19:58:26.4724301Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-08-26T19:58:26.4724629Z >>> 2025-08-26T19:58:26.4725160Z >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor 2025-08-26T19:58:26.4725829Z >>> # and then redistributed to Sharded DTensor. 2025-08-26T19:58:26.4726182Z >>> parallelize_module( 2025-08-26T19:58:26.4726507Z >>> block, # this can be a submodule or module 2025-08-26T19:58:26.4726850Z >>> tp_mesh, 2025-08-26T19:58:26.4727145Z >>> parallelize_plan = PrepareModuleOutput( 2025-08-26T19:58:26.4727504Z >>> output_layouts=Replicate(), 2025-08-26T19:58:26.4727856Z >>> desired_output_layouts=Shard(0) 2025-08-26T19:58:26.4728176Z >>> ) 2025-08-26T19:58:26.4728396Z >>> ) 2025-08-26T19:58:26.4728511Z 2025-08-26T19:58:26.4728761Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.4729162Z 2025-08-26T19:58:26.4729851Z msg = Cannot scrape callname=PrepareModuleInputOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=705. 2025-08-26T19:58:26.4730923Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.4731355Z 2025-08-26T19:58:26.4731794Z Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module 2025-08-26T19:58:26.4732816Z to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution 2025-08-26T19:58:26.4733751Z according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of 2025-08-26T19:58:26.4734454Z :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`. 2025-08-26T19:58:26.4734790Z 2025-08-26T19:58:26.4734880Z Keyword Args: 2025-08-26T19:58:26.4735229Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-26T19:58:26.4735888Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2025-08-26T19:58:26.4736710Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2025-08-26T19:58:26.4737302Z as a placeholder. default: None. 2025-08-26T19:58:26.4737842Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-26T19:58:26.4738587Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-26T19:58:26.4739490Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2025-08-26T19:58:26.4740151Z input_kwarg_layouts (Dict[str, Placement]): 2025-08-26T19:58:26.4740770Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2025-08-26T19:58:26.4741373Z default: None 2025-08-26T19:58:26.4741701Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2025-08-26T19:58:26.4742352Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-26T19:58:26.4742989Z have the desired DTensor layouts. default: None. 2025-08-26T19:58:26.4743379Z use_local_input (bool, optional): 2025-08-26T19:58:26.4743961Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2025-08-26T19:58:26.4744614Z output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-26T19:58:26.4745238Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2025-08-26T19:58:26.4745621Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2025-08-26T19:58:26.4745762Z ``None`` need to be specified as a placeholder. 2025-08-26T19:58:26.4745969Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-26T19:58:26.4746357Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2025-08-26T19:58:26.4746484Z have the desired DTensor layouts. 2025-08-26T19:58:26.4746604Z use_local_output (bool, optional): 2025-08-26T19:58:26.4746964Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2025-08-26T19:58:26.4747062Z Returns: 2025-08-26T19:58:26.4747431Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs. 2025-08-26T19:58:26.4747436Z 2025-08-26T19:58:26.4747537Z Example:: 2025-08-26T19:58:26.4747645Z >>> # xdoctest: +SKIP(failing) 2025-08-26T19:58:26.4747985Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput 2025-08-26T19:58:26.4748193Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-08-26T19:58:26.4748278Z >>> ... 2025-08-26T19:58:26.4748597Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-08-26T19:58:26.4748722Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-08-26T19:58:26.4748835Z >>> 2025-08-26T19:58:26.4749220Z >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor 2025-08-26T19:58:26.4749577Z >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated 2025-08-26T19:58:26.4749799Z >>> # as Replicated DTensor and then redistributed to Sharded DTensor. 2025-08-26T19:58:26.4749906Z >>> parallelize_module( 2025-08-26T19:58:26.4750054Z >>> block, # this can be a submodule or module 2025-08-26T19:58:26.4750149Z >>> tp_mesh, 2025-08-26T19:58:26.4750250Z >>> parallelize_plan={ 2025-08-26T19:58:26.4750399Z >>> "attn": PrepareModuleInputOutput( 2025-08-26T19:58:26.4750532Z >>> input_layouts=(Shard(0), None, None, ...), 2025-08-26T19:58:26.4750702Z >>> desired_input_layouts=(Replicate(), None, None, ...), 2025-08-26T19:58:26.4750840Z >>> output_layouts=Replicate(), 2025-08-26T19:58:26.4751020Z >>> desired_output_layouts=Shard(0), 2025-08-26T19:58:26.4751125Z >>> ), 2025-08-26T19:58:26.4751208Z >>> } 2025-08-26T19:58:26.4751290Z >>> ) 2025-08-26T19:58:26.4751295Z 2025-08-26T19:58:26.4751563Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.4751568Z 2025-08-26T19:58:26.5389685Z msg = Cannot scrape callname=LowRankMultivariateNormal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56. 2025-08-26T19:58:26.5389993Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.5389999Z 2025-08-26T19:58:26.5390305Z Creates a multivariate normal distribution with covariance matrix having a low-rank form 2025-08-26T19:58:26.5390522Z parameterized by :attr:`cov_factor` and :attr:`cov_diag`:: 2025-08-26T19:58:26.5390528Z 2025-08-26T19:58:26.5390706Z covariance_matrix = cov_factor @ cov_factor.T + cov_diag 2025-08-26T19:58:26.5390723Z 2025-08-26T19:58:26.5390837Z Example: 2025-08-26T19:58:26.5390982Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-08-26T19:58:26.5391135Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-26T19:58:26.5391254Z >>> m = LowRankMultivariateNormal( 2025-08-26T19:58:26.5391434Z ... torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2) 2025-08-26T19:58:26.5391532Z ... ) 2025-08-26T19:58:26.5391821Z >>> m.sample() # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]` 2025-08-26T19:58:26.5391939Z tensor([-0.2102, -0.5429]) 2025-08-26T19:58:26.5391944Z 2025-08-26T19:58:26.5392027Z Args: 2025-08-26T19:58:26.5392263Z loc (Tensor): mean of the distribution with shape `batch_shape + event_shape` 2025-08-26T19:58:26.5392533Z cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape 2025-08-26T19:58:26.5392651Z `batch_shape + event_shape + (rank,)` 2025-08-26T19:58:26.5392927Z cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape 2025-08-26T19:58:26.5393086Z `batch_shape + event_shape` 2025-08-26T19:58:26.5393091Z 2025-08-26T19:58:26.5393175Z Note: 2025-08-26T19:58:26.5393462Z The computation for determinant and inverse of covariance matrix is avoided when 2025-08-26T19:58:26.5393703Z `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity 2025-08-26T19:58:26.5393938Z `_ and 2025-08-26T19:58:26.5394230Z `matrix determinant lemma `_. 2025-08-26T19:58:26.5394483Z Thanks to these formulas, we just need to compute the determinant and inverse of 2025-08-26T19:58:26.5394622Z the small size "capacitance" matrix:: 2025-08-26T19:58:26.5394627Z 2025-08-26T19:58:26.5394811Z capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor 2025-08-26T19:58:26.5394975Z 2025-08-26T19:58:26.5395253Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.5395303Z 2025-08-26T19:58:26.5412012Z msg = Cannot scrape callname=MixtureSameFamily in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/mixture_same_family.py line=15. 2025-08-26T19:58:26.5412292Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.5412298Z 2025-08-26T19:58:26.5412523Z The `MixtureSameFamily` distribution implements a (batch of) mixture 2025-08-26T19:58:26.5412783Z distribution where all component are from different parameterizations of 2025-08-26T19:58:26.5412997Z the same distribution type. It is parameterized by a `Categorical` 2025-08-26T19:58:26.5413194Z "selecting distribution" (over `k` component) and a component 2025-08-26T19:58:26.5413415Z distribution, i.e., a `Distribution` with a rightmost batch shape 2025-08-26T19:58:26.5413573Z (equal to `[k]`) which indexes each (batch of) component. 2025-08-26T19:58:26.5413582Z 2025-08-26T19:58:26.5413827Z Examples:: 2025-08-26T19:58:26.5413832Z 2025-08-26T19:58:26.5413953Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:26.5414156Z >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally 2025-08-26T19:58:26.5414284Z >>> # weighted normal distributions 2025-08-26T19:58:26.5414400Z >>> mix = D.Categorical(torch.ones(5,)) 2025-08-26T19:58:26.5414565Z >>> comp = D.Normal(torch.randn(5,), torch.rand(5,)) 2025-08-26T19:58:26.5414683Z >>> gmm = MixtureSameFamily(mix, comp) 2025-08-26T19:58:26.5414687Z 2025-08-26T19:58:26.5414915Z >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally 2025-08-26T19:58:26.5415044Z >>> # weighted bivariate normal distributions 2025-08-26T19:58:26.5415160Z >>> mix = D.Categorical(torch.ones(5,)) 2025-08-26T19:58:26.5415284Z >>> comp = D.Independent(D.Normal( 2025-08-26T19:58:26.5415412Z ... torch.randn(5,2), torch.rand(5,2)), 1) 2025-08-26T19:58:26.5415549Z >>> gmm = MixtureSameFamily(mix, comp) 2025-08-26T19:58:26.5415555Z 2025-08-26T19:58:26.5415735Z >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each 2025-08-26T19:58:26.5415936Z >>> # consisting of 5 random weighted bivariate normal distributions 2025-08-26T19:58:26.5416066Z >>> mix = D.Categorical(torch.rand(3,5)) 2025-08-26T19:58:26.5416176Z >>> comp = D.Independent(D.Normal( 2025-08-26T19:58:26.5416320Z ... torch.randn(3,5,2), torch.rand(3,5,2)), 1) 2025-08-26T19:58:26.5416436Z >>> gmm = MixtureSameFamily(mix, comp) 2025-08-26T19:58:26.5416440Z 2025-08-26T19:58:26.5416522Z Args: 2025-08-26T19:58:26.5416737Z mixture_distribution: `torch.distributions.Categorical`-like 2025-08-26T19:58:26.5416923Z instance. Manages the probability of selecting component. 2025-08-26T19:58:26.5417105Z The number of categories must match the rightmost batch 2025-08-26T19:58:26.5417291Z dimension of the `component_distribution`. Must have either 2025-08-26T19:58:26.5417439Z scalar `batch_shape` or `batch_shape` matching 2025-08-26T19:58:26.5417587Z `component_distribution.batch_shape[:-1]` 2025-08-26T19:58:26.5417804Z component_distribution: `torch.distributions.Distribution`-like 2025-08-26T19:58:26.5417993Z instance. Right-most batch dimension indexes component. 2025-08-26T19:58:26.5417998Z 2025-08-26T19:58:26.5418249Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.5418254Z 2025-08-26T19:58:26.5555823Z msg = Cannot scrape callname=RelaxedBernoulli in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_bernoulli.py line=120. 2025-08-26T19:58:26.5556088Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.5556095Z 2025-08-26T19:58:26.5556298Z Creates a RelaxedBernoulli distribution, parametrized by 2025-08-26T19:58:26.5556487Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits` 2025-08-26T19:58:26.5556855Z (but not both). This is a relaxed version of the `Bernoulli` distribution, 2025-08-26T19:58:26.5557051Z so the values are in (0, 1), and has reparametrizable samples. 2025-08-26T19:58:26.5557056Z 2025-08-26T19:58:26.5557153Z Example:: 2025-08-26T19:58:26.5557158Z 2025-08-26T19:58:26.5557315Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-26T19:58:26.5557446Z >>> m = RelaxedBernoulli(torch.tensor([2.2]), 2025-08-26T19:58:26.5557572Z ... torch.tensor([0.1, 0.2, 0.3, 0.99])) 2025-08-26T19:58:26.5557679Z >>> m.sample() 2025-08-26T19:58:26.5557806Z tensor([ 0.2951, 0.3442, 0.8918, 0.9021]) 2025-08-26T19:58:26.5557811Z 2025-08-26T19:58:26.5557909Z Args: 2025-08-26T19:58:26.5558049Z temperature (Tensor): relaxation temperature 2025-08-26T19:58:26.5558220Z probs (Number, Tensor): the probability of sampling `1` 2025-08-26T19:58:26.5558402Z logits (Number, Tensor): the log-odds of sampling `1` 2025-08-26T19:58:26.5558409Z 2025-08-26T19:58:26.5558743Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.5558749Z 2025-08-26T19:58:26.5574698Z msg = Cannot scrape callname=RelaxedOneHotCategorical in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_categorical.py line=109. 2025-08-26T19:58:26.5574962Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.5574967Z 2025-08-26T19:58:26.5575198Z Creates a RelaxedOneHotCategorical distribution parametrized by 2025-08-26T19:58:26.5575391Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`. 2025-08-26T19:58:26.5575643Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so 2025-08-26T19:58:26.5575806Z its samples are on simplex, and are reparametrizable. 2025-08-26T19:58:26.5575811Z 2025-08-26T19:58:26.5575904Z Example:: 2025-08-26T19:58:26.5575908Z 2025-08-26T19:58:26.5576069Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-26T19:58:26.5576229Z >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]), 2025-08-26T19:58:26.5576377Z ... torch.tensor([0.1, 0.2, 0.3, 0.4])) 2025-08-26T19:58:26.5576476Z >>> m.sample() 2025-08-26T19:58:26.5576591Z tensor([ 0.1294, 0.2324, 0.3859, 0.2523]) 2025-08-26T19:58:26.5576611Z 2025-08-26T19:58:26.5576694Z Args: 2025-08-26T19:58:26.5576828Z temperature (Tensor): relaxation temperature 2025-08-26T19:58:26.5576958Z probs (Tensor): event probabilities 2025-08-26T19:58:26.5577145Z logits (Tensor): unnormalized log probability for each event 2025-08-26T19:58:26.5577149Z 2025-08-26T19:58:26.5577415Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.5577419Z 2025-08-26T19:58:26.9675864Z msg = Cannot scrape callname=assoc_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=245. 2025-08-26T19:58:26.9676984Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.9678046Z Return a new dict with new, potentially nested, key value pair 2025-08-26T19:58:26.9678376Z 2025-08-26T19:58:26.9678469Z >>> purchase = { 2025-08-26T19:58:26.9678844Z ... "name": "Alice", 2025-08-26T19:58:26.9679321Z ... "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-08-26T19:58:26.9679758Z ... "credit card": "5555-1234-1234-1234", 2025-08-26T19:58:26.9680344Z ... } 2025-08-26T19:58:26.9680853Z >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00]) # doctest: +SKIP 2025-08-26T19:58:26.9681297Z {'credit card': '5555-1234-1234-1234', 2025-08-26T19:58:26.9693585Z 'name': 'Alice', 2025-08-26T19:58:26.9694229Z 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} 2025-08-26T19:58:26.9694790Z 2025-08-26T19:58:26.9695142Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.9695685Z 2025-08-26T19:58:26.9696492Z msg = Cannot scrape callname=update_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=261. 2025-08-26T19:58:26.9697541Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.9698078Z Update value in a (potentially) nested dictionary 2025-08-26T19:58:26.9698338Z 2025-08-26T19:58:26.9698425Z inputs: 2025-08-26T19:58:26.9698676Z d - dictionary on which to operate 2025-08-26T19:58:26.9699123Z keys - list or tuple giving the location of the value to be changed in d 2025-08-26T19:58:26.9699594Z func - function to operate on that value 2025-08-26T19:58:26.9699824Z 2025-08-26T19:58:26.9700027Z If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the 2025-08-26T19:58:26.9700562Z original dictionary with v replaced by func(v), but does not mutate the 2025-08-26T19:58:26.9701021Z original dictionary. 2025-08-26T19:58:26.9701206Z 2025-08-26T19:58:26.9701519Z If k0 is not a key in d, update_in creates nested dictionaries to the depth 2025-08-26T19:58:26.9702073Z specified by the keys, with the innermost value set to func(default). 2025-08-26T19:58:26.9702406Z 2025-08-26T19:58:26.9702523Z >>> inc = lambda x: x + 1 2025-08-26T19:58:26.9702807Z >>> update_in({"a": 0}, ["a"], inc) 2025-08-26T19:58:26.9703116Z {'a': 1} 2025-08-26T19:58:26.9703242Z 2025-08-26T19:58:26.9703353Z >>> transaction = { 2025-08-26T19:58:26.9703619Z ... "name": "Alice", 2025-08-26T19:58:26.9703977Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-08-26T19:58:26.9704410Z ... "credit card": "5555-1234-1234-1234", 2025-08-26T19:58:26.9704729Z ... } 2025-08-26T19:58:26.9705072Z >>> update_in(transaction, ["purchase", "costs"], sum) # doctest: +SKIP 2025-08-26T19:58:26.9705502Z {'credit card': '5555-1234-1234-1234', 2025-08-26T19:58:26.9705815Z 'name': 'Alice', 2025-08-26T19:58:26.9706147Z 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} 2025-08-26T19:58:26.9706427Z 2025-08-26T19:58:26.9706561Z >>> # updating a value when k0 is not in d 2025-08-26T19:58:26.9706913Z >>> update_in({}, [1, 2, 3], str, default="bar") 2025-08-26T19:58:26.9707253Z {1: {2: {3: 'bar'}}} 2025-08-26T19:58:26.9707536Z >>> update_in({1: "foo"}, [2, 3, 4], inc, 0) 2025-08-26T19:58:26.9707863Z {1: 'foo', 2: {3: {4: 1}}} 2025-08-26T19:58:26.9708118Z 2025-08-26T19:58:26.9708490Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.9708876Z 2025-08-26T19:58:26.9709518Z msg = Cannot scrape callname=get_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=320. 2025-08-26T19:58:26.9710538Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.9711090Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. 2025-08-26T19:58:26.9711368Z 2025-08-26T19:58:26.9711553Z If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless 2025-08-26T19:58:26.9712059Z ``no_default`` is specified, then it raises KeyError or IndexError. 2025-08-26T19:58:26.9712389Z 2025-08-26T19:58:26.9712595Z ``get_in`` is a generalization of ``operator.getitem`` for nested data 2025-08-26T19:58:26.9713142Z structures such as dictionaries and lists. 2025-08-26T19:58:26.9713384Z 2025-08-26T19:58:26.9713498Z >>> transaction = { 2025-08-26T19:58:26.9713751Z ... "name": "Alice", 2025-08-26T19:58:26.9714126Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-08-26T19:58:26.9714558Z ... "credit card": "5555-1234-1234-1234", 2025-08-26T19:58:26.9714882Z ... } 2025-08-26T19:58:26.9715130Z >>> get_in(["purchase", "items", 0], transaction) 2025-08-26T19:58:26.9715473Z 'Apple' 2025-08-26T19:58:26.9715709Z >>> get_in(["name"], transaction) 2025-08-26T19:58:26.9716094Z 'Alice' 2025-08-26T19:58:26.9716383Z >>> get_in(["purchase", "total"], transaction) 2025-08-26T19:58:26.9716781Z >>> get_in(["purchase", "items", "apple"], transaction) 2025-08-26T19:58:26.9717184Z >>> get_in(["purchase", "items", 10], transaction) 2025-08-26T19:58:26.9717575Z >>> get_in(["purchase", "total"], transaction, 0) 2025-08-26T19:58:26.9717899Z 0 2025-08-26T19:58:26.9718131Z >>> get_in(["y"], {}, no_default=True) 2025-08-26T19:58:26.9718465Z Traceback (most recent call last): 2025-08-26T19:58:26.9718770Z ... 2025-08-26T19:58:26.9718974Z KeyError: 'y' 2025-08-26T19:58:26.9719127Z 2025-08-26T19:58:26.9719213Z See Also: 2025-08-26T19:58:26.9719443Z itertoolz.get 2025-08-26T19:58:26.9719703Z operator.getitem 2025-08-26T19:58:26.9719948Z 2025-08-26T19:58:26.9720323Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.9720712Z 2025-08-26T19:58:26.9721458Z msg = Cannot scrape callname=groupby in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=373. 2025-08-26T19:58:26.9722505Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:26.9723014Z Group a collection by a key function 2025-08-26T19:58:26.9723227Z 2025-08-26T19:58:26.9723390Z >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"] 2025-08-26T19:58:26.9723804Z >>> groupby(len, names) # doctest: +SKIP 2025-08-26T19:58:26.9724206Z {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']} 2025-08-26T19:58:26.9724482Z 2025-08-26T19:58:26.9724606Z >>> iseven = lambda x: x % 2 == 0 2025-08-26T19:58:26.9724979Z >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8]) # doctest: +SKIP 2025-08-26T19:58:26.9725383Z {False: [1, 3, 5, 7], True: [2, 4, 6, 8]} 2025-08-26T19:58:26.9725615Z 2025-08-26T19:58:26.9725755Z Non-callable keys imply grouping on a member. 2025-08-26T19:58:26.9726006Z 2025-08-26T19:58:26.9726114Z >>> groupby( 2025-08-26T19:58:26.9726350Z ... "gender", 2025-08-26T19:58:26.9726582Z ... [ 2025-08-26T19:58:26.9726833Z ... {"name": "Alice", "gender": "F"}, 2025-08-26T19:58:26.9727187Z ... {"name": "Bob", "gender": "M"}, 2025-08-26T19:58:26.9727541Z ... {"name": "Charlie", "gender": "M"}, 2025-08-26T19:58:26.9727852Z ... ], 2025-08-26T19:58:26.9728095Z ... ) # doctest:+SKIP 2025-08-26T19:58:26.9728389Z {'F': [{'gender': 'F', 'name': 'Alice'}], 2025-08-26T19:58:26.9728724Z 'M': [{'gender': 'M', 'name': 'Bob'}, 2025-08-26T19:58:26.9729041Z {'gender': 'M', 'name': 'Charlie'}]} 2025-08-26T19:58:26.9729275Z 2025-08-26T19:58:26.9729415Z Not to be confused with ``itertools.groupby`` 2025-08-26T19:58:26.9729674Z 2025-08-26T19:58:26.9729760Z See Also: 2025-08-26T19:58:26.9729981Z countby 2025-08-26T19:58:26.9730191Z 2025-08-26T19:58:26.9730569Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:26.9730954Z 2025-08-26T19:58:27.2925298Z msg = Cannot scrape callname=calculate_gain in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py line=142. 2025-08-26T19:58:27.2926264Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.2926874Z Return the recommended gain value for the given nonlinearity function. 2025-08-26T19:58:27.2927234Z 2025-08-26T19:58:27.2927360Z The values are as follows: 2025-08-26T19:58:27.2927563Z 2025-08-26T19:58:27.2927679Z ================= ==================================================== 2025-08-26T19:58:27.2928029Z nonlinearity gain 2025-08-26T19:58:27.2928327Z ================= ==================================================== 2025-08-26T19:58:27.2928722Z Linear / Identity :math:`1` 2025-08-26T19:58:27.2929017Z Conv{1,2,3}D :math:`1` 2025-08-26T19:58:27.2929476Z Sigmoid :math:`1` 2025-08-26T19:58:27.2929783Z Tanh :math:`\frac{5}{3}` 2025-08-26T19:58:27.2930149Z ReLU :math:`\sqrt{2}` 2025-08-26T19:58:27.2930554Z Leaky Relu :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}` 2025-08-26T19:58:27.2930977Z SELU :math:`\frac{3}{4}` 2025-08-26T19:58:27.2931316Z ================= ==================================================== 2025-08-26T19:58:27.2931551Z 2025-08-26T19:58:27.2931677Z .. warning:: 2025-08-26T19:58:27.2931997Z In order to implement `Self-Normalizing Neural Networks`_ , 2025-08-26T19:58:27.2932549Z you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``. 2025-08-26T19:58:27.2933092Z This gives the initial weights a variance of ``1 / N``, 2025-08-26T19:58:27.2933605Z which is necessary to induce a stable fixed point in the forward pass. 2025-08-26T19:58:27.2934166Z In contrast, the default gain for ``SELU`` sacrifices the normalization 2025-08-26T19:58:27.2934809Z effect for more stable gradient flow in rectangular layers. 2025-08-26T19:58:27.2935125Z 2025-08-26T19:58:27.2935260Z Args: 2025-08-26T19:58:27.2935584Z nonlinearity: the non-linear function (`nn.functional` name) 2025-08-26T19:58:27.2936077Z param: optional parameter for the non-linear function 2025-08-26T19:58:27.2936358Z 2025-08-26T19:58:27.2936446Z Examples: 2025-08-26T19:58:27.2936701Z >>> gain = nn.init.calculate_gain( 2025-08-26T19:58:27.2937031Z ... "leaky_relu", 0.2 2025-08-26T19:58:27.2937358Z ... ) # leaky_relu with negative_slope=0.2 2025-08-26T19:58:27.2937597Z 2025-08-26T19:58:27.2938090Z .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html 2025-08-26T19:58:27.2938766Z 2025-08-26T19:58:27.2939143Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.2939517Z 2025-08-26T19:58:27.3697838Z msg = Cannot scrape callname=SyncBatchNorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=603. 2025-08-26T19:58:27.3698850Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.3699405Z Applies Batch Normalization over a N-Dimensional input. 2025-08-26T19:58:27.3699704Z 2025-08-26T19:58:27.3700096Z The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper 2025-08-26T19:58:27.3700777Z `Batch Normalization: Accelerating Deep Network Training by Reducing 2025-08-26T19:58:27.3701432Z Internal Covariate Shift `__ . 2025-08-26T19:58:27.3701896Z 2025-08-26T19:58:27.3702005Z .. math:: 2025-08-26T19:58:27.3702135Z 2025-08-26T19:58:27.3702370Z y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta 2025-08-26T19:58:27.3702705Z 2025-08-26T19:58:27.3702959Z The mean and standard-deviation are calculated per-dimension over all 2025-08-26T19:58:27.3703541Z mini-batches of the same process groups. :math:`\gamma` and :math:`\beta` 2025-08-26T19:58:27.3704152Z are learnable parameter vectors of size `C` (where `C` is the input size). 2025-08-26T19:58:27.3704748Z By default, the elements of :math:`\gamma` are sampled from 2025-08-26T19:58:27.3705254Z :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0. 2025-08-26T19:58:27.3705826Z The standard-deviation is calculated via the biased estimator, equivalent to 2025-08-26T19:58:27.3706332Z `torch.var(input, unbiased=False)`. 2025-08-26T19:58:27.3706566Z 2025-08-26T19:58:27.3706801Z Also by default, during training this layer keeps running estimates of its 2025-08-26T19:58:27.3707441Z computed mean and variance, which are then used for normalization during 2025-08-26T19:58:27.3708043Z evaluation. The running estimates are kept with a default :attr:`momentum` 2025-08-26T19:58:27.3708622Z of 0.1. 2025-08-26T19:58:27.3708812Z 2025-08-26T19:58:27.3709051Z If :attr:`track_running_stats` is set to ``False``, this layer then does not 2025-08-26T19:58:27.3709630Z keep running estimates, and batch statistics are instead used during 2025-08-26T19:58:27.3710081Z evaluation time as well. 2025-08-26T19:58:27.3710262Z 2025-08-26T19:58:27.3710351Z .. note:: 2025-08-26T19:58:27.3710728Z This :attr:`momentum` argument is different from one used in optimizer 2025-08-26T19:58:27.3711302Z classes and the conventional notion of momentum. Mathematically, the 2025-08-26T19:58:27.3711770Z update rule for running statistics here is 2025-08-26T19:58:27.3712291Z :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`, 2025-08-26T19:58:27.3712886Z where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the 2025-08-26T19:58:27.3713392Z new observed value. 2025-08-26T19:58:27.3713573Z 2025-08-26T19:58:27.3714002Z Because the Batch Normalization is done for each channel in the ``C`` dimension, computing 2025-08-26T19:58:27.3714675Z statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch 2025-08-26T19:58:27.3715241Z Normalization or Spatio-temporal Batch Normalization. 2025-08-26T19:58:27.3715543Z 2025-08-26T19:58:27.3715688Z Currently :class:`SyncBatchNorm` only supports 2025-08-26T19:58:27.3716241Z :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use 2025-08-26T19:58:27.3716869Z :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert 2025-08-26T19:58:27.3717401Z :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping 2025-08-26T19:58:27.3717832Z Network with DDP. 2025-08-26T19:58:27.3717989Z 2025-08-26T19:58:27.3718088Z Args: 2025-08-26T19:58:27.3718379Z num_features: :math:`C` from an expected input of size 2025-08-26T19:58:27.3718750Z :math:`(N, C, +)` 2025-08-26T19:58:27.3719130Z eps: a value added to the denominator for numerical stability. 2025-08-26T19:58:27.3719542Z Default: ``1e-5`` 2025-08-26T19:58:27.3719923Z momentum: the value used for the running_mean and running_var 2025-08-26T19:58:27.3720437Z computation. Can be set to ``None`` for cumulative moving average 2025-08-26T19:58:27.3720891Z (i.e. simple average). Default: 0.1 2025-08-26T19:58:27.3721332Z affine: a boolean value that when set to ``True``, this module has 2025-08-26T19:58:27.3721810Z learnable affine parameters. Default: ``True`` 2025-08-26T19:58:27.3722279Z track_running_stats: a boolean value that when set to ``True``, this 2025-08-26T19:58:27.3722851Z module tracks the running mean and variance, and when set to ``False``, 2025-08-26T19:58:27.3723435Z this module does not track such statistics, and initializes statistics 2025-08-26T19:58:27.3723994Z buffers :attr:`running_mean` and :attr:`running_var` as ``None``. 2025-08-26T19:58:27.3724563Z When these buffers are ``None``, this module always uses batch statistics. 2025-08-26T19:58:27.3725060Z in both training and eval modes. Default: ``True`` 2025-08-26T19:58:27.3725583Z process_group: synchronization of stats happen within each process group 2025-08-26T19:58:27.3726180Z individually. Default behavior is synchronization across the whole 2025-08-26T19:58:27.3726665Z world 2025-08-26T19:58:27.3726805Z 2025-08-26T19:58:27.3726905Z Shape: 2025-08-26T19:58:27.3727127Z - Input: :math:`(N, C, +)` 2025-08-26T19:58:27.3727483Z - Output: :math:`(N, C, +)` (same shape as input) 2025-08-26T19:58:27.3727737Z 2025-08-26T19:58:27.3727838Z .. note:: 2025-08-26T19:58:27.3728224Z Synchronization of batchnorm statistics occurs only while training, i.e. 2025-08-26T19:58:27.3728790Z synchronization is disabled when ``model.eval()`` is set or if 2025-08-26T19:58:27.3729292Z ``self.training`` is otherwise ``False``. 2025-08-26T19:58:27.3729580Z 2025-08-26T19:58:27.3729675Z Examples:: 2025-08-26T19:58:27.3729811Z 2025-08-26T19:58:27.3729927Z >>> # xdoctest: +SKIP 2025-08-26T19:58:27.3730218Z >>> # With Learnable Parameters 2025-08-26T19:58:27.3730559Z >>> m = nn.SyncBatchNorm(100) 2025-08-26T19:58:27.3730899Z >>> # creating process group (optional) 2025-08-26T19:58:27.3731283Z >>> # ranks is a list of int identifying rank ids. 2025-08-26T19:58:27.3731631Z >>> ranks = list(range(8)) 2025-08-26T19:58:27.3731943Z >>> r1, r2 = ranks[:4], ranks[4:] 2025-08-26T19:58:27.3732308Z >>> # Note: every rank calls into new_group for every 2025-08-26T19:58:27.3732730Z >>> # process group created, even if that rank is not 2025-08-26T19:58:27.3733103Z >>> # part of the group. 2025-08-26T19:58:27.3733535Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2025-08-26T19:58:27.3734181Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2025-08-26T19:58:27.3734629Z >>> # Without Learnable Parameters 2025-08-26T19:58:27.3735060Z >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group) 2025-08-26T19:58:27.3735501Z >>> input = torch.randn(20, 100, 35, 45, 10) 2025-08-26T19:58:27.3735841Z >>> output = m(input) 2025-08-26T19:58:27.3736032Z 2025-08-26T19:58:27.3736146Z >>> # network is nn.BatchNorm layer 2025-08-26T19:58:27.3736654Z >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group) 2025-08-26T19:58:27.3737227Z >>> # only single gpu per process is currently supported 2025-08-26T19:58:27.3737713Z >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel( 2025-08-26T19:58:27.3738166Z >>> sync_bn_network, 2025-08-26T19:58:27.3738524Z >>> device_ids=[args.local_rank], 2025-08-26T19:58:27.3738911Z >>> output_device=args.local_rank) 2025-08-26T19:58:27.3739235Z 2025-08-26T19:58:27.3739608Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.3739991Z 2025-08-26T19:58:27.3740664Z msg = Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=830. 2025-08-26T19:58:27.3741699Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.3742393Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers. 2025-08-26T19:58:27.3742820Z 2025-08-26T19:58:27.3742922Z Args: 2025-08-26T19:58:27.3743290Z module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers 2025-08-26T19:58:27.3743878Z process_group (optional): process group to scope synchronization, 2025-08-26T19:58:27.3744337Z default is the whole world 2025-08-26T19:58:27.3744561Z 2025-08-26T19:58:27.3744667Z Returns: 2025-08-26T19:58:27.3745053Z The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm` 2025-08-26T19:58:27.3745657Z layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer, 2025-08-26T19:58:27.3746213Z a new :class:`torch.nn.SyncBatchNorm` layer object will be returned 2025-08-26T19:58:27.3746636Z instead. 2025-08-26T19:58:27.3746786Z 2025-08-26T19:58:27.3746893Z Example:: 2025-08-26T19:58:27.3747033Z 2025-08-26T19:58:27.3747154Z >>> # Network with nn.BatchNorm layer 2025-08-26T19:58:27.3747533Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T19:58:27.3747912Z >>> module = torch.nn.Sequential( 2025-08-26T19:58:27.3748266Z >>> torch.nn.Linear(20, 100), 2025-08-26T19:58:27.3748613Z >>> torch.nn.BatchNorm1d(100), 2025-08-26T19:58:27.3749066Z >>> ).cuda() 2025-08-26T19:58:27.3749391Z >>> # creating process group (optional) 2025-08-26T19:58:27.3749785Z >>> # ranks is a list of int identifying rank ids. 2025-08-26T19:58:27.3750144Z >>> ranks = list(range(8)) 2025-08-26T19:58:27.3750477Z >>> r1, r2 = ranks[:4], ranks[4:] 2025-08-26T19:58:27.3750853Z >>> # Note: every rank calls into new_group for every 2025-08-26T19:58:27.3751280Z >>> # process group created, even if that rank is not 2025-08-26T19:58:27.3751646Z >>> # part of the group. 2025-08-26T19:58:27.3751979Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:27.3752469Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2025-08-26T19:58:27.3753129Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2025-08-26T19:58:27.3753855Z >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group) 2025-08-26T19:58:27.3754276Z 2025-08-26T19:58:27.3754364Z 2025-08-26T19:58:27.3754923Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.3755310Z 2025-08-26T19:58:27.4003690Z msg = Cannot scrape callname=Unflatten in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py line=66. 2025-08-26T19:58:27.4004600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.4004984Z 2025-08-26T19:58:27.4005310Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`. 2025-08-26T19:58:27.4005742Z 2025-08-26T19:58:27.4006031Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can 2025-08-26T19:58:27.4006648Z be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively. 2025-08-26T19:58:27.4007010Z 2025-08-26T19:58:27.4007342Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be 2025-08-26T19:58:27.4008040Z a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input; a `NamedShape` 2025-08-26T19:58:27.4008593Z (tuple of `(name, size)` tuples) for `NamedTensor` input. 2025-08-26T19:58:27.4008871Z 2025-08-26T19:58:27.4008970Z Shape: 2025-08-26T19:58:27.4009296Z - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at 2025-08-26T19:58:27.4009882Z dimension :attr:`dim` and :math:`*` means any number of dimensions including none. 2025-08-26T19:58:27.4010475Z - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and 2025-08-26T19:58:27.4010944Z :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`. 2025-08-26T19:58:27.4011179Z 2025-08-26T19:58:27.4011278Z Args: 2025-08-26T19:58:27.4011533Z dim (Union[int, str]): Dimension to be unflattened 2025-08-26T19:58:27.4012148Z unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension 2025-08-26T19:58:27.4012629Z 2025-08-26T19:58:27.4012716Z Examples: 2025-08-26T19:58:27.4012953Z >>> input = torch.randn(2, 50) 2025-08-26T19:58:27.4013250Z >>> # With tuple of ints 2025-08-26T19:58:27.4013535Z >>> m = nn.Sequential( 2025-08-26T19:58:27.4013811Z >>> nn.Linear(50, 50), 2025-08-26T19:58:27.4014111Z >>> nn.Unflatten(1, (2, 5, 5)) 2025-08-26T19:58:27.4014406Z >>> ) 2025-08-26T19:58:27.4014628Z >>> output = m(input) 2025-08-26T19:58:27.4014908Z >>> output.size() 2025-08-26T19:58:27.4015204Z torch.Size([2, 2, 5, 5]) 2025-08-26T19:58:27.4015469Z >>> # With torch.Size 2025-08-26T19:58:27.4015740Z >>> m = nn.Sequential( 2025-08-26T19:58:27.4016017Z >>> nn.Linear(50, 50), 2025-08-26T19:58:27.4016326Z >>> nn.Unflatten(1, torch.Size([2, 5, 5])) 2025-08-26T19:58:27.4016639Z >>> ) 2025-08-26T19:58:27.4016861Z >>> output = m(input) 2025-08-26T19:58:27.4017268Z >>> output.size() 2025-08-26T19:58:27.4017539Z torch.Size([2, 2, 5, 5]) 2025-08-26T19:58:27.4017882Z >>> # With namedshape (tuple of tuples) 2025-08-26T19:58:27.4018266Z >>> input = torch.randn(2, 50, names=("N", "features")) 2025-08-26T19:58:27.4018784Z >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5))) 2025-08-26T19:58:27.4019222Z >>> output = unflatten(input) 2025-08-26T19:58:27.4019511Z >>> output.size() 2025-08-26T19:58:27.4019786Z torch.Size([2, 2, 5, 5]) 2025-08-26T19:58:27.4019975Z 2025-08-26T19:58:27.4020230Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.4020599Z 2025-08-26T19:58:27.4399406Z msg = Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1798. 2025-08-26T19:58:27.4400582Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.4401199Z Creates a criterion that measures the triplet loss given input 2025-08-26T19:58:27.4402012Z tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor, 2025-08-26T19:58:27.4402601Z positive, and negative examples, respectively), and a nonnegative, 2025-08-26T19:58:27.4403259Z real-valued function ("distance function") used to compute the relationship 2025-08-26T19:58:27.4403924Z between the anchor and positive example ("positive distance") and the 2025-08-26T19:58:27.4404467Z anchor and negative example ("negative distance"). 2025-08-26T19:58:27.4404747Z 2025-08-26T19:58:27.4404958Z The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``) 2025-08-26T19:58:27.4405459Z can be described as: 2025-08-26T19:58:27.4405643Z 2025-08-26T19:58:27.4405747Z .. math:: 2025-08-26T19:58:27.4406081Z \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad 2025-08-26T19:58:27.4406499Z l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\} 2025-08-26T19:58:27.4406809Z 2025-08-26T19:58:27.4407079Z where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function 2025-08-26T19:58:27.4407818Z quantifying the closeness of two tensors, referred to as the :attr:`distance_function`; 2025-08-26T19:58:27.4408547Z and :math:`margin` is a nonnegative margin representing the minimum difference 2025-08-26T19:58:27.4409227Z between the positive and negative distances that is required for the loss to 2025-08-26T19:58:27.4409833Z be 0. The input tensors have :math:`N` elements each and can be of any shape 2025-08-26T19:58:27.4410363Z that the distance function can handle. 2025-08-26T19:58:27.4410604Z 2025-08-26T19:58:27.4410779Z If :attr:`reduction` is not ``'none'`` 2025-08-26T19:58:27.4411111Z (default ``'mean'``), then: 2025-08-26T19:58:27.4411299Z 2025-08-26T19:58:27.4411449Z .. math:: 2025-08-26T19:58:27.4411705Z \ell(x, y) = 2025-08-26T19:58:27.4411999Z \begin{cases} 2025-08-26T19:58:27.4412587Z \operatorname{mean}(L), & \text{if reduction} = \text{`mean';}\\ 2025-08-26T19:58:27.4413455Z \operatorname{sum}(L), & \text{if reduction} = \text{`sum'.} 2025-08-26T19:58:27.4413956Z \end{cases} 2025-08-26T19:58:27.4414149Z 2025-08-26T19:58:27.4414423Z See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet 2025-08-26T19:58:27.4415105Z loss for input tensors using the :math:`l_p` distance as the distance function. 2025-08-26T19:58:27.4415480Z 2025-08-26T19:58:27.4415580Z Args: 2025-08-26T19:58:27.4416093Z distance_function (Callable, optional): A nonnegative, real-valued function that 2025-08-26T19:58:27.4416750Z quantifies the closeness of two tensors. If not specified, 2025-08-26T19:58:27.4417279Z `nn.PairwiseDistance` will be used. Default: ``None`` 2025-08-26T19:58:27.4417857Z margin (float, optional): A nonnegative margin representing the minimum difference 2025-08-26T19:58:27.4418607Z between the positive and negative distances required for the loss to be 0. Larger 2025-08-26T19:58:27.4419542Z margins penalize cases where the negative examples are not distant enough from the 2025-08-26T19:58:27.4420202Z anchors, relative to the positives. Default: :math:`1`. 2025-08-26T19:58:27.4420829Z swap (bool, optional): Whether to use the distance swap described in the paper 2025-08-26T19:58:27.4421518Z `Learning shallow convolutional feature descriptors with triplet losses` by 2025-08-26T19:58:27.4422211Z V. Balntas, E. Riba et al. If True, and if the positive example is closer to the 2025-08-26T19:58:27.4422926Z negative example than the anchor is, swaps the positive example and the anchor in 2025-08-26T19:58:27.4423472Z the loss computation. Default: ``False``. 2025-08-26T19:58:27.4424067Z reduction (str, optional): Specifies the (optional) reduction to apply to the output: 2025-08-26T19:58:27.4424721Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2025-08-26T19:58:27.4425368Z ``'mean'``: the sum of the output will be divided by the number of 2025-08-26T19:58:27.4425990Z elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'`` 2025-08-26T19:58:27.4426353Z 2025-08-26T19:58:27.4426358Z 2025-08-26T19:58:27.4426461Z Shape: 2025-08-26T19:58:27.4426916Z - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions 2025-08-26T19:58:27.4427446Z as supported by the distance function. 2025-08-26T19:58:27.4427975Z - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar 2025-08-26T19:58:27.4428589Z otherwise. 2025-08-26T19:58:27.4428742Z 2025-08-26T19:58:27.4428850Z Examples: 2025-08-26T19:58:27.4429029Z 2025-08-26T19:58:27.4429148Z >>> # Initialize embeddings 2025-08-26T19:58:27.4429473Z >>> embedding = nn.Embedding(1000, 128) 2025-08-26T19:58:27.4429901Z >>> anchor_ids = torch.randint(0, 1000, (1,)) 2025-08-26T19:58:27.4430290Z >>> positive_ids = torch.randint(0, 1000, (1,)) 2025-08-26T19:58:27.4430735Z >>> negative_ids = torch.randint(0, 1000, (1,)) 2025-08-26T19:58:27.4431088Z >>> anchor = embedding(anchor_ids) 2025-08-26T19:58:27.4431496Z >>> positive = embedding(positive_ids) 2025-08-26T19:58:27.4431849Z >>> negative = embedding(negative_ids) 2025-08-26T19:58:27.4432227Z >>> 2025-08-26T19:58:27.4432446Z >>> # Built-in Distance Function 2025-08-26T19:58:27.4432761Z >>> triplet_loss = \ 2025-08-26T19:58:27.4433341Z >>> nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance()) 2025-08-26T19:58:27.4433977Z >>> output = triplet_loss(anchor, positive, negative) 2025-08-26T19:58:27.4434337Z >>> output.backward() 2025-08-26T19:58:27.4434664Z >>> 2025-08-26T19:58:27.4434896Z >>> # Custom Distance Function 2025-08-26T19:58:27.4435219Z >>> def l_infinity(x1, x2): 2025-08-26T19:58:27.4435624Z >>> return torch.max(torch.abs(x1 - x2), dim=1).values 2025-08-26T19:58:27.4435989Z >>> 2025-08-26T19:58:27.4436367Z >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time") 2025-08-26T19:58:27.4436783Z >>> triplet_loss = ( 2025-08-26T19:58:27.4437225Z >>> nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5)) 2025-08-26T19:58:27.4437854Z >>> output = triplet_loss(anchor, positive, negative) 2025-08-26T19:58:27.4438232Z >>> output.backward() 2025-08-26T19:58:27.4438498Z >>> 2025-08-26T19:58:27.4438726Z >>> # Custom Distance Function (Lambda) 2025-08-26T19:58:27.4439061Z >>> triplet_loss = ( 2025-08-26T19:58:27.4439373Z >>> nn.TripletMarginWithDistanceLoss( 2025-08-26T19:58:27.4439897Z >>> distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y))) 2025-08-26T19:58:27.4440386Z >>> output = triplet_loss(anchor, positive, negative) 2025-08-26T19:58:27.4440762Z >>> output.backward() 2025-08-26T19:58:27.4441016Z 2025-08-26T19:58:27.4441154Z Reference: 2025-08-26T19:58:27.4441611Z V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses: 2025-08-26T19:58:27.4442264Z https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html 2025-08-26T19:58:27.4442693Z 2025-08-26T19:58:27.4443074Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17)) 2025-08-26T19:58:27.4443450Z 2025-08-26T19:58:27.4444035Z msg = Cannot scrape callname=CTCLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1933. 2025-08-26T19:58:27.4444918Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.4445443Z The Connectionist Temporal Classification loss. 2025-08-26T19:58:27.4445712Z 2025-08-26T19:58:27.4446097Z Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the 2025-08-26T19:58:27.4447032Z probability of possible alignments of input to target, producing a loss value which is differentiable 2025-08-26T19:58:27.4447860Z with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which 2025-08-26T19:58:27.4448625Z limits the length of the target sequence such that it must be :math:`\leq` the input length. 2025-08-26T19:58:27.4449042Z 2025-08-26T19:58:27.4449128Z Args: 2025-08-26T19:58:27.4449429Z blank (int, optional): blank label. Default :math:`0`. 2025-08-26T19:58:27.4449965Z reduction (str, optional): Specifies the reduction to apply to the output: 2025-08-26T19:58:27.4450518Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2025-08-26T19:58:27.4451113Z ``'mean'``: the output losses will be divided by the target lengths and 2025-08-26T19:58:27.4451684Z then the mean over the batch is taken, ``'sum'``: the output losses will be summed. 2025-08-26T19:58:27.4452168Z Default: ``'mean'`` 2025-08-26T19:58:27.4452482Z zero_infinity (bool, optional): 2025-08-26T19:58:27.4452907Z Whether to zero infinite losses and the associated gradients. 2025-08-26T19:58:27.4453320Z Default: ``False`` 2025-08-26T19:58:27.4453700Z Infinite losses mainly occur when the inputs are too short 2025-08-26T19:58:27.4454149Z to be aligned to the targets. 2025-08-26T19:58:27.4454366Z 2025-08-26T19:58:27.4454465Z Shape: 2025-08-26T19:58:27.4454962Z - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`, 2025-08-26T19:58:27.4455403Z where :math:`T = \text{input length}`, 2025-08-26T19:58:27.4455762Z :math:`N = \text{batch size}`, and 2025-08-26T19:58:27.4456152Z :math:`C = \text{number of classes (including blank)}`. 2025-08-26T19:58:27.4456663Z The logarithmized probabilities of the outputs (e.g. obtained with 2025-08-26T19:58:27.4457136Z :func:`torch.nn.functional.log_softmax`). 2025-08-26T19:58:27.4457526Z - Targets: Tensor of size :math:`(N, S)` or 2025-08-26T19:58:27.4457934Z :math:`(\operatorname{sum}(\text{target\_lengths}))`, 2025-08-26T19:58:27.4458339Z where :math:`N = \text{batch size}` and 2025-08-26T19:58:27.4458730Z :math:`S = \text{max target length, if shape is } (N, S)`. 2025-08-26T19:58:27.4459217Z It represents the target sequences. Each element in the target 2025-08-26T19:58:27.4459779Z sequence is a class index. And the target index cannot be blank (default=0). 2025-08-26T19:58:27.4460308Z In the :math:`(N, S)` form, targets are padded to the 2025-08-26T19:58:27.4460726Z length of the longest sequence, and stacked. 2025-08-26T19:58:27.4461163Z In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form, 2025-08-26T19:58:27.4461629Z the targets are assumed to be un-padded and 2025-08-26T19:58:27.4462009Z concatenated within 1 dimension. 2025-08-26T19:58:27.4462548Z - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`, 2025-08-26T19:58:27.4463164Z where :math:`N = \text{batch size}`. It represents the lengths of the 2025-08-26T19:58:27.4463701Z inputs (must each be :math:`\leq T`). And the lengths are specified 2025-08-26T19:58:27.4464346Z for each sequence to achieve masking under the assumption that sequences 2025-08-26T19:58:27.4464825Z are padded to equal lengths. 2025-08-26T19:58:27.4465244Z - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`, 2025-08-26T19:58:27.4465797Z where :math:`N = \text{batch size}`. It represents lengths of the targets. 2025-08-26T19:58:27.4466367Z Lengths are specified for each sequence to achieve masking under the 2025-08-26T19:58:27.4466967Z assumption that sequences are padded to equal lengths. If target shape is 2025-08-26T19:58:27.4467522Z :math:`(N,S)`, target_lengths are effectively the stop index 2025-08-26T19:58:27.4468152Z :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for 2025-08-26T19:58:27.4468719Z each target in a batch. Lengths must each be :math:`\leq S` 2025-08-26T19:58:27.4469273Z If the targets are given as a 1d tensor that is the concatenation of individual 2025-08-26T19:58:27.4469894Z targets, the target_lengths must add up to the total length of the tensor. 2025-08-26T19:58:27.4470462Z - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or 2025-08-26T19:58:27.4471004Z ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or 2025-08-26T19:58:27.4471570Z :math:`()` if input is unbatched, where :math:`N = \text{batch size}`. 2025-08-26T19:58:27.4471909Z 2025-08-26T19:58:27.4472008Z Examples: 2025-08-26T19:58:27.4472146Z 2025-08-26T19:58:27.4472272Z >>> # Target are to be padded 2025-08-26T19:58:27.4472604Z >>> T = 50 # Input sequence length 2025-08-26T19:58:27.4472978Z >>> C = 20 # Number of classes (including blank) 2025-08-26T19:58:27.4473407Z >>> N = 16 # Batch size 2025-08-26T19:58:27.4473840Z >>> S = 30 # Target sequence length of longest target in batch (padding length) 2025-08-26T19:58:27.4474388Z >>> S_min = 10 # Minimum target length, for demonstration purposes 2025-08-26T19:58:27.4474772Z >>> 2025-08-26T19:58:27.4475110Z >>> # Initialize random batch of input vectors, for *size = (T,N,C) 2025-08-26T19:58:27.4475654Z >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_() 2025-08-26T19:58:27.4476073Z >>> 2025-08-26T19:58:27.4476382Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-08-26T19:58:27.4476920Z >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long) 2025-08-26T19:58:27.4477348Z >>> 2025-08-26T19:58:27.4477698Z >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long) 2025-08-26T19:58:27.4478158Z >>> target_lengths = torch.randint( 2025-08-26T19:58:27.4478481Z ... low=S_min, 2025-08-26T19:58:27.4478744Z ... high=S, 2025-08-26T19:58:27.4479003Z ... size=(N,), 2025-08-26T19:58:27.4479263Z ... dtype=torch.long, 2025-08-26T19:58:27.4479552Z ... ) 2025-08-26T19:58:27.4479790Z >>> ctc_loss = nn.CTCLoss() 2025-08-26T19:58:27.4480179Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-08-26T19:58:27.4480574Z >>> loss.backward() 2025-08-26T19:58:27.4480844Z >>> 2025-08-26T19:58:27.4481058Z >>> 2025-08-26T19:58:27.4481301Z >>> # Target are to be un-padded 2025-08-26T19:58:27.4481628Z >>> T = 50 # Input sequence length 2025-08-26T19:58:27.4481999Z >>> C = 20 # Number of classes (including blank) 2025-08-26T19:58:27.4482367Z >>> N = 16 # Batch size 2025-08-26T19:58:27.4482696Z >>> 2025-08-26T19:58:27.4483014Z >>> # Initialize random batch of input vectors, for *size = (T,N,C) 2025-08-26T19:58:27.4483588Z >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_() 2025-08-26T19:58:27.4484141Z >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long) 2025-08-26T19:58:27.4484569Z >>> 2025-08-26T19:58:27.4484879Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-08-26T19:58:27.4485440Z >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long) 2025-08-26T19:58:27.4485916Z >>> target = torch.randint( 2025-08-26T19:58:27.4486218Z ... low=1, 2025-08-26T19:58:27.4486467Z ... high=C, 2025-08-26T19:58:27.4486728Z ... size=(sum(target_lengths),), 2025-08-26T19:58:27.4487062Z ... dtype=torch.long, 2025-08-26T19:58:27.4487347Z ... ) 2025-08-26T19:58:27.4487589Z >>> ctc_loss = nn.CTCLoss() 2025-08-26T19:58:27.4488031Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-08-26T19:58:27.4488444Z >>> loss.backward() 2025-08-26T19:58:27.4488715Z >>> 2025-08-26T19:58:27.4488969Z >>> 2025-08-26T19:58:27.4489271Z >>> # Target are to be un-padded and unbatched (effectively N=1) 2025-08-26T19:58:27.4489696Z >>> T = 50 # Input sequence length 2025-08-26T19:58:27.4490063Z >>> C = 20 # Number of classes (including blank) 2025-08-26T19:58:27.4490480Z >>> 2025-08-26T19:58:27.4490790Z >>> # Initialize random batch of input vectors, for *size = (T,C) 2025-08-26T19:58:27.4491250Z >>> # xdoctest: +SKIP("FIXME: error in doctest") 2025-08-26T19:58:27.4491705Z >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_() 2025-08-26T19:58:27.4492195Z >>> input_lengths = torch.tensor(T, dtype=torch.long) 2025-08-26T19:58:27.4492544Z >>> 2025-08-26T19:58:27.4492866Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-08-26T19:58:27.4493434Z >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long) 2025-08-26T19:58:27.4493910Z >>> target = torch.randint( 2025-08-26T19:58:27.4494198Z ... low=1, 2025-08-26T19:58:27.4494444Z ... high=C, 2025-08-26T19:58:27.4494738Z ... size=(target_lengths,), 2025-08-26T19:58:27.4495061Z ... dtype=torch.long, 2025-08-26T19:58:27.4495330Z ... ) 2025-08-26T19:58:27.4495566Z >>> ctc_loss = nn.CTCLoss() 2025-08-26T19:58:27.4495985Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-08-26T19:58:27.4496394Z >>> loss.backward() 2025-08-26T19:58:27.4496569Z 2025-08-26T19:58:27.4496657Z Reference: 2025-08-26T19:58:27.4496976Z A. Graves et al.: Connectionist Temporal Classification: 2025-08-26T19:58:27.4497503Z Labelling Unsegmented Sequence Data with Recurrent Neural Networks: 2025-08-26T19:58:27.4498033Z https://www.cs.toronto.edu/~graves/icml_2006.pdf 2025-08-26T19:58:27.4498308Z 2025-08-26T19:58:27.4498409Z Note: 2025-08-26T19:58:27.4498768Z In order to use CuDNN, the following must be satisfied: :attr:`targets` must be 2025-08-26T19:58:27.4499399Z in concatenated format, all :attr:`input_lengths` must be `T`. :math:`blank=0`, 2025-08-26T19:58:27.4500006Z :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of 2025-08-26T19:58:27.4500462Z dtype :attr:`torch.int32`. 2025-08-26T19:58:27.4500666Z 2025-08-26T19:58:27.4500937Z The regular implementation uses the (more common in PyTorch) `torch.long` dtype. 2025-08-26T19:58:27.4501341Z 2025-08-26T19:58:27.4501345Z 2025-08-26T19:58:27.4501429Z Note: 2025-08-26T19:58:27.4501807Z In some circumstances when using the CUDA backend with CuDNN, this operator 2025-08-26T19:58:27.4502441Z may select a nondeterministic algorithm to increase performance. If this is 2025-08-26T19:58:27.4503153Z undesirable, you can try to make the operation deterministic (potentially at 2025-08-26T19:58:27.4503791Z a performance cost) by setting ``torch.backends.cudnn.deterministic = 2025-08-26T19:58:27.4504255Z True``. 2025-08-26T19:58:27.4504606Z Please see the notes on :doc:`/notes/randomness` for background. 2025-08-26T19:58:27.4505021Z 2025-08-26T19:58:27.4505387Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.4505778Z 2025-08-26T19:58:27.4993714Z msg = Cannot scrape callname=MaxUnpool2d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py line=410. 2025-08-26T19:58:27.4994656Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.4995206Z Computes a partial inverse of :class:`MaxPool2d`. 2025-08-26T19:58:27.4995489Z 2025-08-26T19:58:27.4995753Z :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost. 2025-08-26T19:58:27.4996150Z 2025-08-26T19:58:27.4996612Z :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d` 2025-08-26T19:58:27.4997221Z including the indices of the maximal values and computes a partial inverse 2025-08-26T19:58:27.4997723Z in which all non-maximal values are set to zero. 2025-08-26T19:58:27.4997996Z 2025-08-26T19:58:27.4998086Z Note: 2025-08-26T19:58:27.4998543Z This operation may behave nondeterministically when the input indices has repeat values. 2025-08-26T19:58:27.4999382Z See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information. 2025-08-26T19:58:27.4999878Z 2025-08-26T19:58:27.5000126Z .. note:: :class:`MaxPool2d` can map several input sizes to the same output 2025-08-26T19:58:27.5000662Z sizes. Hence, the inversion process can get ambiguous. 2025-08-26T19:58:27.5001154Z To accommodate this, you can provide the needed output size 2025-08-26T19:58:27.5001687Z as an additional argument :attr:`output_size` in the forward call. 2025-08-26T19:58:27.5002146Z See the Inputs and Example below. 2025-08-26T19:58:27.5002378Z 2025-08-26T19:58:27.5002464Z Args: 2025-08-26T19:58:27.5002773Z kernel_size (int or tuple): Size of the max pooling window. 2025-08-26T19:58:27.5003247Z stride (int or tuple): Stride of the max pooling window. 2025-08-26T19:58:27.5003671Z It is set to :attr:`kernel_size` by default. 2025-08-26T19:58:27.5004095Z padding (int or tuple): Padding that was added to the input 2025-08-26T19:58:27.5004403Z 2025-08-26T19:58:27.5004488Z Inputs: 2025-08-26T19:58:27.5004741Z - `input`: the input Tensor to invert 2025-08-26T19:58:27.5005182Z - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d` 2025-08-26T19:58:27.5005666Z - `output_size` (optional): the targeted output size 2025-08-26T19:58:27.5005960Z 2025-08-26T19:58:27.5006047Z Shape: 2025-08-26T19:58:27.5006369Z - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`. 2025-08-26T19:58:27.5006918Z - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where 2025-08-26T19:58:27.5007247Z 2025-08-26T19:58:27.5007352Z .. math:: 2025-08-26T19:58:27.5007774Z H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]} 2025-08-26T19:58:27.5008156Z 2025-08-26T19:58:27.5008245Z .. math:: 2025-08-26T19:58:27.5008648Z W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]} 2025-08-26T19:58:27.5009040Z 2025-08-26T19:58:27.5009206Z or as given by :attr:`output_size` in the call operator 2025-08-26T19:58:27.5009483Z 2025-08-26T19:58:27.5009590Z Example:: 2025-08-26T19:58:27.5009725Z 2025-08-26T19:58:27.5009904Z >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True) 2025-08-26T19:58:27.5010359Z >>> unpool = nn.MaxUnpool2d(2, stride=2) 2025-08-26T19:58:27.5010789Z >>> input = torch.tensor([[[[ 1., 2., 3., 4.], 2025-08-26T19:58:27.5011150Z [ 5., 6., 7., 8.], 2025-08-26T19:58:27.5011489Z [ 9., 10., 11., 12.], 2025-08-26T19:58:27.5011813Z [13., 14., 15., 16.]]]]) 2025-08-26T19:58:27.5012165Z >>> output, indices = pool(input) 2025-08-26T19:58:27.5012525Z >>> unpool(output, indices) 2025-08-26T19:58:27.5012839Z tensor([[[[ 0., 0., 0., 0.], 2025-08-26T19:58:27.5013156Z [ 0., 6., 0., 8.], 2025-08-26T19:58:27.5013453Z [ 0., 0., 0., 0.], 2025-08-26T19:58:27.5013763Z [ 0., 14., 0., 16.]]]]) 2025-08-26T19:58:27.5014217Z >>> # Now using output_size to resolve an ambiguous size for the inverse 2025-08-26T19:58:27.5014698Z >>> input = torch.tensor([[[[ 1., 2., 3., 4., 5.], 2025-08-26T19:58:27.5015121Z [ 6., 7., 8., 9., 10.], 2025-08-26T19:58:27.5015468Z [11., 12., 13., 14., 15.], 2025-08-26T19:58:27.5015814Z [16., 17., 18., 19., 20.]]]]) 2025-08-26T19:58:27.5016162Z >>> output, indices = pool(input) 2025-08-26T19:58:27.5016552Z >>> # This call will not work without specifying output_size 2025-08-26T19:58:27.5017007Z >>> unpool(output, indices, output_size=input.size()) 2025-08-26T19:58:27.5017395Z tensor([[[[ 0., 0., 0., 0., 0.], 2025-08-26T19:58:27.5017712Z [ 0., 7., 0., 9., 0.], 2025-08-26T19:58:27.5018008Z [ 0., 0., 0., 0., 0.], 2025-08-26T19:58:27.5018318Z [ 0., 17., 0., 19., 0.]]]]) 2025-08-26T19:58:27.5018542Z 2025-08-26T19:58:27.5018545Z 2025-08-26T19:58:27.5018629Z 2025-08-26T19:58:27.5018999Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.5019369Z 2025-08-26T19:58:27.5279869Z msg = Cannot scrape callname=EmbeddingBag in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py line=272. 2025-08-26T19:58:27.5280811Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.5281503Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings. 2025-08-26T19:58:27.5281953Z 2025-08-26T19:58:27.5282274Z For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`, 2025-08-26T19:58:27.5282835Z and with 2D inputs, this class 2025-08-26T19:58:27.5283039Z 2025-08-26T19:58:27.5283358Z * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``, 2025-08-26T19:58:27.5284100Z * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``, 2025-08-26T19:58:27.5284831Z * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``. 2025-08-26T19:58:27.5285267Z 2025-08-26T19:58:27.5285622Z However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these 2025-08-26T19:58:27.5286198Z operations. 2025-08-26T19:58:27.5286334Z 2025-08-26T19:58:27.5286608Z EmbeddingBag also supports per-sample weights as an argument to the forward 2025-08-26T19:58:27.5287231Z pass. This scales the output of the Embedding before performing a weighted 2025-08-26T19:58:27.5287835Z reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the 2025-08-26T19:58:27.5288449Z only supported ``mode`` is ``"sum"``, which computes a weighted sum according to 2025-08-26T19:58:27.5288920Z :attr:`per_sample_weights`. 2025-08-26T19:58:27.5289112Z 2025-08-26T19:58:27.5289214Z Args: 2025-08-26T19:58:27.5289529Z num_embeddings (int): size of the dictionary of embeddings 2025-08-26T19:58:27.5290165Z embedding_dim (int): the size of each embedding vector 2025-08-26T19:58:27.5290826Z max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm` 2025-08-26T19:58:27.5291424Z is renormalized to have norm :attr:`max_norm`. 2025-08-26T19:58:27.5292051Z norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``. 2025-08-26T19:58:27.5292869Z scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of 2025-08-26T19:58:27.5293477Z the words in the mini-batch. Default ``False``. 2025-08-26T19:58:27.5293952Z Note: this option is not supported when ``mode="max"``. 2025-08-26T19:58:27.5294515Z mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag. 2025-08-26T19:58:27.5295217Z ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights` 2025-08-26T19:58:27.5295791Z into consideration. ``"mean"`` computes the average of the values 2025-08-26T19:58:27.5296303Z in the bag, ``"max"`` computes the max value over each bag. 2025-08-26T19:58:27.5296727Z Default: ``"mean"`` 2025-08-26T19:58:27.5297288Z sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See 2025-08-26T19:58:27.5298000Z Notes for more details regarding sparse gradients. Note: this option is not 2025-08-26T19:58:27.5298520Z supported when ``mode="max"``. 2025-08-26T19:58:27.5299166Z include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element 2025-08-26T19:58:27.5299904Z is equivalent to the size of `indices`. This matches the CSR format. 2025-08-26T19:58:27.5300596Z padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the 2025-08-26T19:58:27.5301341Z gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated 2025-08-26T19:58:27.5302002Z during training, i.e. it remains as a fixed "pad". For a newly constructed 2025-08-26T19:58:27.5302637Z EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all 2025-08-26T19:58:27.5303289Z zeros, but can be updated to another value to be used as the padding vector. 2025-08-26T19:58:27.5303920Z Note that the embedding vector at :attr:`padding_idx` is excluded from the 2025-08-26T19:58:27.5304411Z reduction. 2025-08-26T19:58:27.5304630Z 2025-08-26T19:58:27.5304748Z Attributes: 2025-08-26T19:58:27.5305206Z weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)` 2025-08-26T19:58:27.5305798Z initialized from :math:`\mathcal{N}(0, 1)`. 2025-08-26T19:58:27.5306072Z 2025-08-26T19:58:27.5306177Z Examples:: 2025-08-26T19:58:27.5306312Z 2025-08-26T19:58:27.5306494Z >>> # an EmbeddingBag module containing 10 tensors of size 3 2025-08-26T19:58:27.5306949Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum') 2025-08-26T19:58:27.5307344Z >>> # a batch of 2 samples of 4 indices each 2025-08-26T19:58:27.5307777Z >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long) 2025-08-26T19:58:27.5308237Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2025-08-26T19:58:27.5308645Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-26T19:58:27.5309049Z >>> embedding_sum(input, offsets) 2025-08-26T19:58:27.5309393Z tensor([[-0.8861, -5.4350, -0.0523], 2025-08-26T19:58:27.5309756Z [ 1.1306, -2.5798, -1.0044]]) 2025-08-26T19:58:27.5309965Z 2025-08-26T19:58:27.5310091Z >>> # Example with padding_idx 2025-08-26T19:58:27.5310501Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2) 2025-08-26T19:58:27.5311019Z >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long) 2025-08-26T19:58:27.5311480Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2025-08-26T19:58:27.5311862Z >>> embedding_sum(input, offsets) 2025-08-26T19:58:27.5312196Z tensor([[ 0.0000, 0.0000, 0.0000], 2025-08-26T19:58:27.5312501Z [-0.7082, 3.2145, -2.6251]]) 2025-08-26T19:58:27.5312726Z 2025-08-26T19:58:27.5312901Z >>> # An EmbeddingBag can be loaded from an Embedding like so 2025-08-26T19:58:27.5313431Z >>> embedding = nn.Embedding(10, 3, padding_idx=2) 2025-08-26T19:58:27.5314351Z >>> embedding_sum = nn.EmbeddingBag.from_pretrained( 2025-08-26T19:58:27.5314729Z embedding.weight, 2025-08-26T19:58:27.5315070Z padding_idx=embedding.padding_idx, 2025-08-26T19:58:27.5315414Z mode='sum') 2025-08-26T19:58:27.5315674Z 2025-08-26T19:58:27.5316032Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.5316419Z 2025-08-26T19:58:27.5351636Z msg = Cannot scrape callname=Transformer.forward in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py line=186. 2025-08-26T19:58:27.5352643Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.5353239Z Take in and process masked source/target sequences. 2025-08-26T19:58:27.5353509Z 2025-08-26T19:58:27.5353628Z .. note:: 2025-08-26T19:58:27.5353770Z 2025-08-26T19:58:27.5354176Z If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are 2025-08-26T19:58:27.5354987Z not allowed to participate in the attention, 2025-08-26T19:58:27.5355452Z which is the opposite of the definition for :attr:`attn_mask` 2025-08-26T19:58:27.5355970Z in :func:`torch.nn.functional.scaled_dot_product_attention`. 2025-08-26T19:58:27.5356280Z 2025-08-26T19:58:27.5356389Z Args: 2025-08-26T19:58:27.5356678Z src: the sequence to the encoder (required). 2025-08-26T19:58:27.5357059Z tgt: the sequence to the decoder (required). 2025-08-26T19:58:27.5357504Z src_mask: the additive mask for the src sequence (optional). 2025-08-26T19:58:27.5358000Z tgt_mask: the additive mask for the tgt sequence (optional). 2025-08-26T19:58:27.5358522Z memory_mask: the additive mask for the encoder output (optional). 2025-08-26T19:58:27.5359072Z src_key_padding_mask: the Tensor mask for src keys per batch (optional). 2025-08-26T19:58:27.5359667Z tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional). 2025-08-26T19:58:27.5360285Z memory_key_padding_mask: the Tensor mask for memory keys per batch (optional). 2025-08-26T19:58:27.5360874Z src_is_causal: If specified, applies a causal mask as ``src_mask``. 2025-08-26T19:58:27.5361356Z Default: ``None``; try to detect a causal mask. 2025-08-26T19:58:27.5361703Z Warning: 2025-08-26T19:58:27.5362031Z ``src_is_causal`` provides a hint that ``src_mask`` is 2025-08-26T19:58:27.5362491Z the causal mask. Providing incorrect hints can result in 2025-08-26T19:58:27.5362962Z incorrect execution, including forward and backward 2025-08-26T19:58:27.5363334Z compatibility. 2025-08-26T19:58:27.5363731Z tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``. 2025-08-26T19:58:27.5364209Z Default: ``None``; try to detect a causal mask. 2025-08-26T19:58:27.5364726Z Warning: 2025-08-26T19:58:27.5365086Z ``tgt_is_causal`` provides a hint that ``tgt_mask`` is 2025-08-26T19:58:27.5365543Z the causal mask. Providing incorrect hints can result in 2025-08-26T19:58:27.5366010Z incorrect execution, including forward and backward 2025-08-26T19:58:27.5366395Z compatibility. 2025-08-26T19:58:27.5366765Z memory_is_causal: If specified, applies a causal mask as 2025-08-26T19:58:27.5367148Z ``memory_mask``. 2025-08-26T19:58:27.5367444Z Default: ``False``. 2025-08-26T19:58:27.5367739Z Warning: 2025-08-26T19:58:27.5368072Z ``memory_is_causal`` provides a hint that 2025-08-26T19:58:27.5368477Z ``memory_mask`` is the causal mask. Providing incorrect 2025-08-26T19:58:27.5368930Z hints can result in incorrect execution, including 2025-08-26T19:58:27.5369348Z forward and backward compatibility. 2025-08-26T19:58:27.5369681Z 2025-08-26T19:58:27.5369788Z Shape: 2025-08-26T19:58:27.5370191Z - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or 2025-08-26T19:58:27.5370670Z `(N, S, E)` if `batch_first=True`. 2025-08-26T19:58:27.5371150Z - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or 2025-08-26T19:58:27.5371633Z `(N, T, E)` if `batch_first=True`. 2025-08-26T19:58:27.5372060Z - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`. 2025-08-26T19:58:27.5372553Z - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`. 2025-08-26T19:58:27.5372987Z - memory_mask: :math:`(T, S)`. 2025-08-26T19:58:27.5373463Z - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`. 2025-08-26T19:58:27.5374094Z - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`. 2025-08-26T19:58:27.5374732Z - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`. 2025-08-26T19:58:27.5375110Z 2025-08-26T19:58:27.5375423Z Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked 2025-08-26T19:58:27.5376085Z positions. If a BoolTensor is provided, positions with ``True`` 2025-08-26T19:58:27.5376692Z are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor 2025-08-26T19:58:27.5377258Z is provided, it will be added to the attention weight. 2025-08-26T19:58:27.5377860Z [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by 2025-08-26T19:58:27.5378495Z the attention. If a BoolTensor is provided, the positions with the 2025-08-26T19:58:27.5379156Z value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged. 2025-08-26T19:58:27.5379610Z 2025-08-26T19:58:27.5379879Z - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or 2025-08-26T19:58:27.5380390Z `(N, T, E)` if `batch_first=True`. 2025-08-26T19:58:27.5380619Z 2025-08-26T19:58:27.5380881Z Note: Due to the multi-head attention architecture in the transformer model, 2025-08-26T19:58:27.5381483Z the output sequence length of a transformer is same as the input sequence 2025-08-26T19:58:27.5381979Z (i.e. target) length of the decoder. 2025-08-26T19:58:27.5382228Z 2025-08-26T19:58:27.5382554Z where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the 2025-08-26T19:58:27.5383152Z batch size, :math:`E` is the feature number 2025-08-26T19:58:27.5383397Z 2025-08-26T19:58:27.5383510Z Examples: 2025-08-26T19:58:27.5383745Z >>> # xdoctest: +SKIP 2025-08-26T19:58:27.5384096Z >>> output = transformer_model( 2025-08-26T19:58:27.5384510Z ... src, tgt, src_mask=src_mask, tgt_mask=tgt_mask 2025-08-26T19:58:27.5384869Z ... ) 2025-08-26T19:58:27.5385086Z 2025-08-26T19:58:27.5385466Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.5385848Z 2025-08-26T19:58:27.5654015Z msg = Cannot scrape callname=DistributedDataParallel.join in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=1766. 2025-08-26T19:58:27.5655228Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.5655615Z 2025-08-26T19:58:27.5655865Z Context manager for training with uneven inputs across processes in DDP. 2025-08-26T19:58:27.5656220Z 2025-08-26T19:58:27.5656458Z This context manager will keep track of already-joined DDP processes, 2025-08-26T19:58:27.5657001Z and "shadow" the forward and backward passes by inserting collective 2025-08-26T19:58:27.5657765Z communication operations to match with the ones created by non-joined 2025-08-26T19:58:27.5658365Z DDP processes. This will ensure each collective call has a corresponding 2025-08-26T19:58:27.5658989Z call by already-joined DDP processes, preventing hangs or errors that 2025-08-26T19:58:27.5659522Z would otherwise happen when training with uneven inputs across 2025-08-26T19:58:27.5660089Z processes. Alternatively, if the flag ``throw_on_early_termination`` is 2025-08-26T19:58:27.5660663Z specified to be ``True``, all trainers will throw an error once one rank 2025-08-26T19:58:27.5661199Z runs out of inputs, allowing these errors to be caught and handled 2025-08-26T19:58:27.5661635Z according to application logic. 2025-08-26T19:58:27.5661835Z 2025-08-26T19:58:27.5662054Z Once all DDP processes have joined, the context manager will broadcast 2025-08-26T19:58:27.5662629Z the model corresponding to the last joined process to all processes to 2025-08-26T19:58:27.5663134Z ensure the model is the same across all processes 2025-08-26T19:58:27.5663515Z (which is guaranteed by DDP). 2025-08-26T19:58:27.5663703Z 2025-08-26T19:58:27.5663905Z To use this to enable training with uneven inputs across processes, 2025-08-26T19:58:27.5664455Z simply wrap this context manager around your training loop. No further 2025-08-26T19:58:27.5665019Z modifications to the model or data loading is required. 2025-08-26T19:58:27.5665302Z 2025-08-26T19:58:27.5665423Z .. warning:: 2025-08-26T19:58:27.5665770Z If the model or training loop this context manager is wrapped around 2025-08-26T19:58:27.5666277Z has additional distributed collective operations, such as 2025-08-26T19:58:27.5666773Z ``SyncBatchNorm`` in the model's forward pass, then the flag 2025-08-26T19:58:27.5667287Z ``throw_on_early_termination`` must be enabled. This is because this 2025-08-26T19:58:27.5667834Z context manager is not aware of non-DDP collective communication. 2025-08-26T19:58:27.5668327Z This flag will cause all ranks to throw when any one rank 2025-08-26T19:58:27.5668842Z exhausts inputs, allowing these errors to be caught and recovered 2025-08-26T19:58:27.5669282Z from across all ranks. 2025-08-26T19:58:27.5669456Z 2025-08-26T19:58:27.5669554Z Args: 2025-08-26T19:58:27.5669849Z divide_by_initial_world_size (bool): If ``True``, will divide 2025-08-26T19:58:27.5670392Z gradients by the initial ``world_size`` DDP training was launched 2025-08-26T19:58:27.5670964Z with. If ``False``, will compute the effective world size 2025-08-26T19:58:27.5671447Z (number of ranks that have not depleted their inputs yet) and 2025-08-26T19:58:27.5671909Z divide gradients by that during allreduce. Set 2025-08-26T19:58:27.5672353Z ``divide_by_initial_world_size=True`` to ensure every input 2025-08-26T19:58:27.5672850Z sample including the uneven inputs have equal weight in terms of 2025-08-26T19:58:27.5673421Z how much they contribute to the global gradient. This is 2025-08-26T19:58:27.5673971Z achieved by always dividing the gradient by the initial 2025-08-26T19:58:27.5674499Z ``world_size`` even when we encounter uneven inputs. If you set 2025-08-26T19:58:27.5674965Z this to ``False``, we divide the gradient by the remaining 2025-08-26T19:58:27.5675456Z number of nodes. This ensures parity with training on a smaller 2025-08-26T19:58:27.5675964Z ``world_size`` although it also means the uneven inputs would 2025-08-26T19:58:27.5676466Z contribute more towards the global gradient. Typically, you 2025-08-26T19:58:27.5676974Z would want to set this to ``True`` for cases where the last few 2025-08-26T19:58:27.5677501Z inputs of your training job are uneven. In extreme cases, where 2025-08-26T19:58:27.5678008Z there is a large discrepancy in the number of inputs, setting 2025-08-26T19:58:27.5678456Z this to ``False`` might provide better results. 2025-08-26T19:58:27.5678988Z enable (bool): Whether to enable uneven input detection or not. Pass 2025-08-26T19:58:27.5679483Z in ``enable=False`` to disable in cases where you know that 2025-08-26T19:58:27.5680117Z inputs are even across participating processes. Default is 2025-08-26T19:58:27.5680645Z ``True``. 2025-08-26T19:58:27.5681061Z throw_on_early_termination (bool): Whether to throw an error 2025-08-26T19:58:27.5681886Z or continue training when at least one rank has exhausted 2025-08-26T19:58:27.5682543Z inputs. If ``True``, will throw upon the first rank reaching end 2025-08-26T19:58:27.5683023Z of data. If ``False``, will continue training with a smaller 2025-08-26T19:58:27.5683513Z effective world size until all ranks are joined. Note that if 2025-08-26T19:58:27.5683957Z this flag is specified, then the flag 2025-08-26T19:58:27.5684361Z ``divide_by_initial_world_size`` would be ignored. Default 2025-08-26T19:58:27.5684752Z is ``False``. 2025-08-26T19:58:27.5684910Z 2025-08-26T19:58:27.5684935Z 2025-08-26T19:58:27.5685040Z Example:: 2025-08-26T19:58:27.5685163Z 2025-08-26T19:58:27.5685291Z >>> # xdoctest: +SKIP("Distributed") 2025-08-26T19:58:27.5685598Z >>> import torch 2025-08-26T19:58:27.5685876Z >>> import torch.distributed as dist 2025-08-26T19:58:27.5686198Z >>> import os 2025-08-26T19:58:27.5686468Z >>> import torch.multiprocessing as mp 2025-08-26T19:58:27.5686793Z >>> import torch.nn as nn 2025-08-26T19:58:27.5687090Z >>> # On each spawned worker 2025-08-26T19:58:27.5687392Z >>> def worker(rank): 2025-08-26T19:58:27.5687747Z >>> dist.init_process_group("nccl", rank=rank, world_size=2) 2025-08-26T19:58:27.5688146Z >>> torch.cuda.set_device(rank) 2025-08-26T19:58:27.5688512Z >>> model = nn.Linear(1, 1, bias=False).to(rank) 2025-08-26T19:58:27.5688945Z >>> model = torch.nn.parallel.DistributedDataParallel( 2025-08-26T19:58:27.5689386Z >>> model, device_ids=[rank], output_device=rank 2025-08-26T19:58:27.5689723Z >>> ) 2025-08-26T19:58:27.5690006Z >>> # Rank 1 gets one more input than rank 0. 2025-08-26T19:58:27.5690447Z >>> inputs = [torch.tensor([1]).float() for _ in range(10 + rank)] 2025-08-26T19:58:27.5690868Z >>> with model.join(): 2025-08-26T19:58:27.5691169Z >>> for _ in range(5): 2025-08-26T19:58:27.5691469Z >>> for inp in inputs: 2025-08-26T19:58:27.5691804Z >>> loss = model(inp).sum() 2025-08-26T19:58:27.5692147Z >>> loss.backward() 2025-08-26T19:58:27.5692560Z >>> # Without the join() API, the below synchronization will hang 2025-08-26T19:58:27.5693009Z >>> # blocking for rank 1's allreduce to complete. 2025-08-26T19:58:27.5693402Z >>> torch.cuda.synchronize(device=rank) 2025-08-26T19:58:27.5693654Z 2025-08-26T19:58:27.5693908Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.5694353Z 2025-08-26T19:58:27.5695125Z msg = Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=2057. 2025-08-26T19:58:27.5709061Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.5709560Z 2025-08-26T19:58:27.5709885Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction. 2025-08-26T19:58:27.5710319Z 2025-08-26T19:58:27.5710544Z Registers an optimizer with DDP such that the optimization for a 2025-08-26T19:58:27.5711087Z parameter will run immediately when that parameter's gradient is 2025-08-26T19:58:27.5711608Z finished with reduction, instead of waiting for all parameters' 2025-08-26T19:58:27.5712156Z gradients to finish reduction. This can result in a training speedup 2025-08-26T19:58:27.5712721Z depending on your workload since the optimizer can run while gradient 2025-08-26T19:58:27.5713404Z reduction for other parameters are still ongoing. In addition, this has 2025-08-26T19:58:27.5714092Z the potential to reduce peak memory consumption during training, as it 2025-08-26T19:58:27.5714649Z only needs to load the per-parameter optimizer states of a single 2025-08-26T19:58:27.5715194Z parameter at a time, instead of loading all per-parameter optimizer 2025-08-26T19:58:27.5715631Z states at once. 2025-08-26T19:58:27.5715776Z 2025-08-26T19:58:27.5715882Z Args: 2025-08-26T19:58:27.5716195Z optim (Type): a ``torch.optim.Optimizer`` class to be registered 2025-08-26T19:58:27.5716621Z as a fused optimizer. 2025-08-26T19:58:27.5716976Z *args (Sequence[Any]): Arguments to forward to `optim`. 2025-08-26T19:58:27.5717480Z optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters 2025-08-26T19:58:27.5718025Z to optimize, similar to `params` argument of traditional `torch.optim` 2025-08-26T19:58:27.5718580Z Optimizers. If this is omitted, all DDP model parameters will be 2025-08-26T19:58:27.5718999Z optimized. 2025-08-26T19:58:27.5719343Z **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`. 2025-08-26T19:58:27.5719659Z 2025-08-26T19:58:27.5719756Z .. warning :: 2025-08-26T19:58:27.5720110Z _register_fused_optim should only be called once on a DDP instance, 2025-08-26T19:58:27.5720661Z and registering multiple fused optimizers for the same DDP model 2025-08-26T19:58:27.5721122Z is not currently supported. Please ping 2025-08-26T19:58:27.5721590Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-08-26T19:58:27.5722039Z for your use case. 2025-08-26T19:58:27.5722212Z 2025-08-26T19:58:27.5722299Z .. warning :: 2025-08-26T19:58:27.5722631Z _register_fused_optim and register_comm_hook currently do not 2025-08-26T19:58:27.5723163Z compose together, meaning that custom DDP communication hooks are 2025-08-26T19:58:27.5723662Z not supported with overlapped optimizers. Please ping 2025-08-26T19:58:27.5724181Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-08-26T19:58:27.5724633Z for your use case. 2025-08-26T19:58:27.5724788Z 2025-08-26T19:58:27.5724891Z .. warning :: 2025-08-26T19:58:27.5725241Z Gradient accumulation and DDP `no_sync` are currently not supported 2025-08-26T19:58:27.5725713Z with overlapped optimizer. Please ping 2025-08-26T19:58:27.5726176Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-08-26T19:58:27.5726622Z for your use case. 2025-08-26T19:58:27.5726778Z 2025-08-26T19:58:27.5726867Z Example:: 2025-08-26T19:58:27.5727001Z 2025-08-26T19:58:27.5727131Z >>> # xdoctest: +SKIP("No rendezvous handler") 2025-08-26T19:58:27.5727679Z >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...') 2025-08-26T19:58:27.5728307Z >>> net = torch.nn.parallel.DistributedDataParallel(model, pg) 2025-08-26T19:58:27.5728713Z >>> lr = 1e-2 2025-08-26T19:58:27.5728947Z >>> betas = (0.9, 0.99) 2025-08-26T19:58:27.5729259Z >>> eps = 1e-6 2025-08-26T19:58:27.5729676Z >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps) 2025-08-26T19:58:27.5730152Z >>> # Example with subset of parameters 2025-08-26T19:58:27.5730511Z >>> params_to_opt = [list(net.parameters())[0]] 2025-08-26T19:58:27.5730879Z >>> net._register_fused_optim( 2025-08-26T19:58:27.5731326Z ... torch.optim.Adam, lr, optim_params=params_to_opt, betas=betas, eps=eps 2025-08-26T19:58:27.5731764Z ... ) 2025-08-26T19:58:27.5731882Z 2025-08-26T19:58:27.5732133Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.5732514Z 2025-08-26T19:58:27.6148170Z msg = Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=14. 2025-08-26T19:58:27.6149215Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.6149838Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``. 2025-08-26T19:58:27.6150387Z 2025-08-26T19:58:27.6150684Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2025-08-26T19:58:27.6151368Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2025-08-26T19:58:27.6152020Z This function is used to facilitate the computation to adopt NHWC kernels, which 2025-08-26T19:58:27.6152901Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2025-08-26T19:58:27.6153405Z 2025-08-26T19:58:27.6153507Z .. note:: 2025-08-26T19:58:27.6153952Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2025-08-26T19:58:27.6155126Z than the utility function ``convert_conv2d_weight_memory_format``. Any 2025-08-26T19:58:27.6155681Z layer with 4d weight will be affected by ``model.to``, which does not 2025-08-26T19:58:27.6156251Z necessarily benefit from conversion to specified ``memory_format``. 2025-08-26T19:58:27.6156863Z One place we are confident in is that NHWC(channels_last) conversion for 2025-08-26T19:58:27.6157440Z convolution in cuDNN, as it is beneficial to run convolution in NHWC, 2025-08-26T19:58:27.6157996Z even in cases where we have to apply permutation to input tensors. 2025-08-26T19:58:27.6158316Z 2025-08-26T19:58:27.6158544Z Hence our strategy here is to convert only the weight of convolution to 2025-08-26T19:58:27.6159012Z channels_last. This ensures that; 2025-08-26T19:58:27.6159470Z 1. Fast convolution kernels will be used, the benefit of which could 2025-08-26T19:58:27.6160048Z outweigh overhead of permutation (if input is not in the same format). 2025-08-26T19:58:27.6160629Z 2. No unnecessary permutations are applied on layers that do not benefit 2025-08-26T19:58:27.6161108Z from memory_format conversion. 2025-08-26T19:58:27.6161338Z 2025-08-26T19:58:27.6161570Z The optimal case is that, layers between convolution layers are channels 2025-08-26T19:58:27.6162163Z last compatible. Input tensor would be permuted to channels last when it 2025-08-26T19:58:27.6162760Z encounters the first convolution layer and stay in that memory format. 2025-08-26T19:58:27.6163343Z Hence following convolutions will not need to permute its input tensor. 2025-08-26T19:58:27.6163716Z 2025-08-26T19:58:27.6163938Z In case where a channels last incompatible layer is between convolution 2025-08-26T19:58:27.6164500Z layers, we need to permute the input tensor back to contiguous format 2025-08-26T19:58:27.6165059Z for that layer. The input tensor will go through the remaining layers in 2025-08-26T19:58:27.6165636Z contiguous format and be permuted to channels last when it encounters 2025-08-26T19:58:27.6166187Z another convolution layer. There's no point in propagating that 2025-08-26T19:58:27.6166812Z permutation to an earlier layer, as most layers are quite agnostic to 2025-08-26T19:58:27.6167310Z ``memory_format``. 2025-08-26T19:58:27.6167483Z 2025-08-26T19:58:27.6167736Z This claim might change when PyTorch supports fusion of permutation, as 2025-08-26T19:58:27.6168303Z there might have been a better spot to fuse the permutation other than 2025-08-26T19:58:27.6168769Z immediately before a convolution. 2025-08-26T19:58:27.6169008Z 2025-08-26T19:58:27.6169094Z Args: 2025-08-26T19:58:27.6169432Z module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container 2025-08-26T19:58:27.6169878Z ``nn.Module`` 2025-08-26T19:58:27.6170282Z memory_format: user specified ``memory_format``, 2025-08-26T19:58:27.6170720Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2025-08-26T19:58:27.6171034Z 2025-08-26T19:58:27.6171121Z Returns: 2025-08-26T19:58:27.6171407Z The original module with updated ``nn.Conv2d`` 2025-08-26T19:58:27.6171663Z 2025-08-26T19:58:27.6171845Z Example: 2025-08-26T19:58:27.6172107Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T19:58:27.6172520Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2025-08-26T19:58:27.6172901Z >>> input = torch.randint( 2025-08-26T19:58:27.6173263Z ... 1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda" 2025-08-26T19:58:27.6173623Z ... ) 2025-08-26T19:58:27.6173850Z >>> model = nn.Sequential( 2025-08-26T19:58:27.6174172Z >>> nn.Conv2d(8, 4, 3)).cuda().half() 2025-08-26T19:58:27.6174512Z >>> # This is identical to: 2025-08-26T19:58:27.6174966Z >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2025-08-26T19:58:27.6175492Z >>> model = nn.utils.convert_conv2d_weight_memory_format( 2025-08-26T19:58:27.6175892Z ... model, torch.channels_last 2025-08-26T19:58:27.6176203Z ... ) 2025-08-26T19:58:27.6176440Z >>> out = model(input) 2025-08-26T19:58:27.6176700Z 2025-08-26T19:58:27.6177077Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.6177449Z 2025-08-26T19:58:27.6178097Z msg = Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=93. 2025-08-26T19:58:27.6179113Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.6179713Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format`` 2025-08-26T19:58:27.6180309Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2025-08-26T19:58:27.6180985Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2025-08-26T19:58:27.6181644Z This function is used to facilitate the computation to adopt NHWC kernels, which 2025-08-26T19:58:27.6182342Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2025-08-26T19:58:27.6182774Z 2025-08-26T19:58:27.6182868Z .. note:: 2025-08-26T19:58:27.6183253Z Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive 2025-08-26T19:58:27.6183851Z than the utility function ``convert_conv3d_weight_memory_format``. Any 2025-08-26T19:58:27.6184411Z layer with 4d weight will be affected by ``model.to``, which does not 2025-08-26T19:58:27.6184972Z necessarily benefit from conversion to specified ``memory_format``. 2025-08-26T19:58:27.6185547Z One place we are confident in is that NDHWC(channels_last_3d) conversion for 2025-08-26T19:58:27.6186136Z convolution in cuDNN, as it is beneficial to run convolution in NDHWC, 2025-08-26T19:58:27.6186686Z even in cases where we have to apply permutation to input tensors. 2025-08-26T19:58:27.6187007Z 2025-08-26T19:58:27.6187245Z Hence our strategy here is to convert only the weight of convolution to 2025-08-26T19:58:27.6187761Z channels_last_3d. This ensures that; 2025-08-26T19:58:27.6188244Z 1. Fast convolution kernels will be used, the benefit of which could 2025-08-26T19:58:27.6188819Z outweigh overhead of permutation (if input is not in the same format). 2025-08-26T19:58:27.6189416Z 2. No unnecessary permutations are applied on layers that do not benefit 2025-08-26T19:58:27.6189894Z from memory_format conversion. 2025-08-26T19:58:27.6190106Z 2025-08-26T19:58:27.6190327Z The optimal case is that, layers between convolution layers are channels 2025-08-26T19:58:27.6190913Z last compatible. Input tensor would be permuted to channels last when it 2025-08-26T19:58:27.6191508Z encounters the first convolution layer and stay in that memory format. 2025-08-26T19:58:27.6192100Z Hence following convolutions will not need to permute its input tensor. 2025-08-26T19:58:27.6192458Z 2025-08-26T19:58:27.6192701Z In case where a channels last incompatible layer is between convolution 2025-08-26T19:58:27.6193426Z layers, we need to permute the input tensor back to contiguous format 2025-08-26T19:58:27.6193997Z for that layer. The input tensor will go through the remaining layers in 2025-08-26T19:58:27.6194575Z contiguous format and be permuted to channels last when it encounters 2025-08-26T19:58:27.6195141Z another convolution layer. There's no point in propagating that 2025-08-26T19:58:27.6195694Z permutation to an earlier layer, as most layers are quite agnostic to 2025-08-26T19:58:27.6196125Z ``memory_format``. 2025-08-26T19:58:27.6196312Z 2025-08-26T19:58:27.6196544Z This claim might change when PyTorch supports fusion of permutation, as 2025-08-26T19:58:27.6197125Z there might have been a better spot to fuse the permutation other than 2025-08-26T19:58:27.6197591Z immediately before a convolution. 2025-08-26T19:58:27.6197816Z 2025-08-26T19:58:27.6197903Z Args: 2025-08-26T19:58:27.6198250Z module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container 2025-08-26T19:58:27.6198695Z ``nn.Module`` 2025-08-26T19:58:27.6199064Z memory_format: user specified ``memory_format``, 2025-08-26T19:58:27.6199513Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2025-08-26T19:58:27.6199808Z 2025-08-26T19:58:27.6199895Z Returns: 2025-08-26T19:58:27.6200176Z The original module with updated ``nn.Conv3d`` 2025-08-26T19:58:27.6200428Z 2025-08-26T19:58:27.6200528Z Example: 2025-08-26T19:58:27.6200804Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T19:58:27.6201202Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2025-08-26T19:58:27.6201579Z >>> input = torch.randint( 2025-08-26T19:58:27.6201944Z ... 1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda" 2025-08-26T19:58:27.6202305Z ... ) 2025-08-26T19:58:27.6202551Z >>> model = nn.Sequential( 2025-08-26T19:58:27.6202868Z >>> nn.Conv3d(8, 4, 3)).cuda().half() 2025-08-26T19:58:27.6203209Z >>> # This is identical to: 2025-08-26T19:58:27.6203674Z >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2025-08-26T19:58:27.6204224Z >>> model = nn.utils.convert_conv3d_weight_memory_format( 2025-08-26T19:58:27.6204617Z ... model, torch.channels_last_3d 2025-08-26T19:58:27.6204939Z ... ) 2025-08-26T19:58:27.6205178Z >>> out = model(input) 2025-08-26T19:58:27.6205457Z 2025-08-26T19:58:27.6205818Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.6206207Z 2025-08-26T19:58:27.6271807Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrize.py line=424. 2025-08-26T19:58:27.6273082Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.6273768Z Register a parametrization to a tensor in a module. 2025-08-26T19:58:27.6274085Z 2025-08-26T19:58:27.6274375Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-08-26T19:58:27.6275044Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-08-26T19:58:27.6275717Z If the original tensor requires a gradient, the backward pass will differentiate 2025-08-26T19:58:27.6276439Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-08-26T19:58:27.6276864Z 2025-08-26T19:58:27.6277176Z The first time that a module registers a parametrization, this function will add an attribute 2025-08-26T19:58:27.6277860Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-08-26T19:58:27.6278220Z 2025-08-26T19:58:27.6278487Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-08-26T19:58:27.6278998Z ``module.parametrizations.weight``. 2025-08-26T19:58:27.6279233Z 2025-08-26T19:58:27.6279458Z The original tensor will be accessible under 2025-08-26T19:58:27.6279864Z ``module.parametrizations.weight.original``. 2025-08-26T19:58:27.6280122Z 2025-08-26T19:58:27.6280402Z Parametrizations may be concatenated by registering several parametrizations 2025-08-26T19:58:27.6280908Z on the same attribute. 2025-08-26T19:58:27.6281086Z 2025-08-26T19:58:27.6281330Z The training mode of a registered parametrization is updated on registration 2025-08-26T19:58:27.6281838Z to match the training mode of the host module 2025-08-26T19:58:27.6282098Z 2025-08-26T19:58:27.6282406Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-08-26T19:58:27.6282963Z using the context manager :func:`cached`. 2025-08-26T19:58:27.6283196Z 2025-08-26T19:58:27.6283454Z A :attr:`parametrization` may optionally implement a method with signature 2025-08-26T19:58:27.6283818Z 2025-08-26T19:58:27.6283931Z .. code-block:: python 2025-08-26T19:58:27.6284134Z 2025-08-26T19:58:27.6284355Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-08-26T19:58:27.6284705Z 2025-08-26T19:58:27.6284971Z This method is called on the unparametrized tensor when the first parametrization 2025-08-26T19:58:27.6285577Z is registered to compute the initial value of the original tensor. 2025-08-26T19:58:27.6286218Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-08-26T19:58:27.6286222Z 2025-08-26T19:58:27.6286534Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-08-26T19:58:27.6286836Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-08-26T19:58:27.6286841Z 2025-08-26T19:58:27.6287068Z It is possible for the first parametrization to depend on several inputs. 2025-08-26T19:58:27.6287316Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-08-26T19:58:27.6287568Z (see the example implementation of a ``RankOne`` parametrization below). 2025-08-26T19:58:27.6287573Z 2025-08-26T19:58:27.6287908Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-08-26T19:58:27.6288051Z with names ``original0``, ``original1``,... 2025-08-26T19:58:27.6288056Z 2025-08-26T19:58:27.6288145Z .. note:: 2025-08-26T19:58:27.6288150Z 2025-08-26T19:58:27.6288430Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-08-26T19:58:27.6288581Z once to perform a number of consistency checks. 2025-08-26T19:58:27.6288846Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-08-26T19:58:27.6288980Z and nothing will be called otherwise. 2025-08-26T19:58:27.6288984Z 2025-08-26T19:58:27.6289072Z .. note:: 2025-08-26T19:58:27.6289111Z 2025-08-26T19:58:27.6289333Z In most situations, ``right_inverse`` will be a function such that 2025-08-26T19:58:27.6289487Z ``forward(right_inverse(X)) == X`` (see 2025-08-26T19:58:27.6289777Z `right inverse `_). 2025-08-26T19:58:27.6290046Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-08-26T19:58:27.6290141Z to relax this. 2025-08-26T19:58:27.6290145Z 2025-08-26T19:58:27.6290249Z .. warning:: 2025-08-26T19:58:27.6290253Z 2025-08-26T19:58:27.6290530Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-08-26T19:58:27.6290801Z will register a number of new parameters. If such parametrization is registered 2025-08-26T19:58:27.6291069Z after the optimizer is created, these new parameters will need to be added manually 2025-08-26T19:58:27.6291264Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-08-26T19:58:27.6291271Z 2025-08-26T19:58:27.6291444Z Args: 2025-08-26T19:58:27.6291656Z module (nn.Module): module on which to register the parametrization 2025-08-26T19:58:27.6291881Z tensor_name (str): name of the parameter or buffer on which to register 2025-08-26T19:58:27.6291987Z the parametrization 2025-08-26T19:58:27.6292194Z parametrization (nn.Module): the parametrization to register 2025-08-26T19:58:27.6292308Z Keyword args: 2025-08-26T19:58:27.6292525Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-08-26T19:58:27.6292735Z may change the dtype and shape of the tensor. Default: `False` 2025-08-26T19:58:27.6293007Z Warning: the parametrization is not checked for consistency upon registration. 2025-08-26T19:58:27.6293128Z Enable this flag at your own risk. 2025-08-26T19:58:27.6293132Z 2025-08-26T19:58:27.6293237Z Raises: 2025-08-26T19:58:27.6293530Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-08-26T19:58:27.6293536Z 2025-08-26T19:58:27.6293637Z Examples: 2025-08-26T19:58:27.6293786Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-08-26T19:58:27.6293897Z >>> import torch 2025-08-26T19:58:27.6293998Z >>> import torch.nn as nn 2025-08-26T19:58:27.6294134Z >>> import torch.nn.utils.parametrize as P 2025-08-26T19:58:27.6294234Z >>> 2025-08-26T19:58:27.6294348Z >>> class Symmetric(nn.Module): 2025-08-26T19:58:27.6294453Z >>> def forward(self, X): 2025-08-26T19:58:27.6294643Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-08-26T19:58:27.6294725Z >>> 2025-08-26T19:58:27.6294851Z >>> def right_inverse(self, A): 2025-08-26T19:58:27.6294949Z >>> return A.triu() 2025-08-26T19:58:27.6295033Z >>> 2025-08-26T19:58:27.6295142Z >>> m = nn.Linear(5, 5) 2025-08-26T19:58:27.6295317Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-08-26T19:58:27.6295571Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-08-26T19:58:27.6295654Z True 2025-08-26T19:58:27.6295754Z >>> A = torch.rand(5, 5) 2025-08-26T19:58:27.6295877Z >>> A = A + A.T # A is now symmetric 2025-08-26T19:58:27.6296076Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-08-26T19:58:27.6296211Z >>> print(torch.allclose(m.weight, A)) 2025-08-26T19:58:27.6296296Z True 2025-08-26T19:58:27.6296300Z 2025-08-26T19:58:27.6296407Z >>> class RankOne(nn.Module): 2025-08-26T19:58:27.6296528Z >>> def forward(self, x, y): 2025-08-26T19:58:27.6296670Z >>> # Form a rank 1 matrix multiplying two vectors 2025-08-26T19:58:27.6296818Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-08-26T19:58:27.6296903Z >>> 2025-08-26T19:58:27.6297047Z >>> def right_inverse(self, Z): 2025-08-26T19:58:27.6297215Z >>> # Project Z onto the rank 1 matrices 2025-08-26T19:58:27.6297370Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-08-26T19:58:27.6297502Z >>> # Return rescaled singular vectors 2025-08-26T19:58:27.6297624Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-08-26T19:58:27.6297774Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-08-26T19:58:27.6297875Z >>> 2025-08-26T19:58:27.6298024Z >>> linear_rank_one = P.register_parametrization( 2025-08-26T19:58:27.6298167Z ... nn.Linear(4, 4), "weight", RankOne() 2025-08-26T19:58:27.6298253Z ... ) 2025-08-26T19:58:27.6298454Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-08-26T19:58:27.6298552Z 1 2025-08-26T19:58:27.6298557Z 2025-08-26T19:58:27.6298640Z 2025-08-26T19:58:27.6298908Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.6298915Z 2025-08-26T19:58:27.6392916Z msg = Cannot scrape callname=ln_structured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=979. 2025-08-26T19:58:27.6393246Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.6393574Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension. 2025-08-26T19:58:27.6393603Z 2025-08-26T19:58:27.6393853Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2025-08-26T19:58:27.6394071Z by removing the specified ``amount`` of (currently unpruned) channels 2025-08-26T19:58:27.6394248Z along the specified ``dim`` with the lowest L\ ``n``-norm. 2025-08-26T19:58:27.6394460Z Modifies module in place (and also return the modified module) 2025-08-26T19:58:27.6394547Z by: 2025-08-26T19:58:27.6394551Z 2025-08-26T19:58:27.6394776Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-08-26T19:58:27.6395005Z binary mask applied to the parameter ``name`` by the pruning method. 2025-08-26T19:58:27.6395218Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-08-26T19:58:27.6395438Z original (unpruned) parameter is stored in a new parameter named 2025-08-26T19:58:27.6395537Z ``name+'_orig'``. 2025-08-26T19:58:27.6395542Z 2025-08-26T19:58:27.6395646Z Args: 2025-08-26T19:58:27.6395828Z module (nn.Module): module containing the tensor to prune 2025-08-26T19:58:27.6396011Z name (str): parameter name within ``module`` on which pruning 2025-08-26T19:58:27.6396117Z will act. 2025-08-26T19:58:27.6396289Z amount (int or float): quantity of parameters to prune. 2025-08-26T19:58:27.6396479Z If ``float``, should be between 0.0 and 1.0 and represent the 2025-08-26T19:58:27.6396700Z fraction of parameters to prune. If ``int``, it represents the 2025-08-26T19:58:27.6396899Z absolute number of parameters to prune. 2025-08-26T19:58:27.6397152Z n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid 2025-08-26T19:58:27.6397368Z entries for argument ``p`` in :func:`torch.norm`. 2025-08-26T19:58:27.6397634Z dim (int): index of the dim along which we define channels to prune. 2025-08-26T19:58:27.6397879Z importance_scores (torch.Tensor): tensor of importance scores (of same 2025-08-26T19:58:27.6398144Z shape as module parameter) used to compute mask for pruning. 2025-08-26T19:58:27.6398587Z The values in this tensor indicate the importance of the corresponding 2025-08-26T19:58:27.6398831Z elements in the parameter being pruned. 2025-08-26T19:58:27.6399138Z If unspecified or None, the module parameter will be used in its place. 2025-08-26T19:58:27.6399144Z 2025-08-26T19:58:27.6399232Z Returns: 2025-08-26T19:58:27.6399468Z module (nn.Module): modified (i.e. pruned) version of the input module 2025-08-26T19:58:27.6399584Z 2025-08-26T19:58:27.6399677Z Examples: 2025-08-26T19:58:27.6399799Z >>> from torch.nn.utils import prune 2025-08-26T19:58:27.6399923Z >>> m = prune.ln_structured( 2025-08-26T19:58:27.6400107Z ... nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf") 2025-08-26T19:58:27.6400209Z ... ) 2025-08-26T19:58:27.6400291Z 2025-08-26T19:58:27.6400548Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.6400553Z 2025-08-26T19:58:27.6401148Z msg = Cannot scrape callname=global_unstructured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1026. 2025-08-26T19:58:27.6401478Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.6401500Z 2025-08-26T19:58:27.6402112Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``. 2025-08-26T19:58:27.6402122Z 2025-08-26T19:58:27.6402371Z Modifies modules in place by: 2025-08-26T19:58:27.6402378Z 2025-08-26T19:58:27.6402739Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-08-26T19:58:27.6403153Z binary mask applied to the parameter ``name`` by the pruning method. 2025-08-26T19:58:27.6403539Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-08-26T19:58:27.6403746Z original (unpruned) parameter is stored in a new parameter named 2025-08-26T19:58:27.6403841Z ``name+'_orig'``. 2025-08-26T19:58:27.6403861Z 2025-08-26T19:58:27.6403946Z Args: 2025-08-26T19:58:27.6404148Z parameters (Iterable of (module, name) tuples): parameters of 2025-08-26T19:58:27.6404356Z the model to prune in a global fashion, i.e. by aggregating all 2025-08-26T19:58:27.6404566Z weights prior to deciding which ones to prune. module must be of 2025-08-26T19:58:27.6404716Z type :class:`nn.Module`, and name must be a string. 2025-08-26T19:58:27.6404958Z pruning_method (function): a valid pruning function from this module, 2025-08-26T19:58:27.6405138Z or a custom one implemented by the user that satisfies the 2025-08-26T19:58:27.6405383Z implementation guidelines and has ``PRUNING_TYPE='unstructured'``. 2025-08-26T19:58:27.6405610Z importance_scores (dict): a dictionary mapping (module, name) tuples to 2025-08-26T19:58:27.6405847Z the corresponding parameter's importance scores tensor. The tensor 2025-08-26T19:58:27.6406055Z should be the same shape as the parameter, and is used for computing 2025-08-26T19:58:27.6406153Z mask for pruning. 2025-08-26T19:58:27.6406372Z If unspecified or None, the parameter will be used in place of its 2025-08-26T19:58:27.6406470Z importance scores. 2025-08-26T19:58:27.6406606Z kwargs: other keyword arguments such as: 2025-08-26T19:58:27.6406802Z amount (int or float): quantity of parameters to prune across the 2025-08-26T19:58:27.6406908Z specified parameters. 2025-08-26T19:58:27.6407097Z If ``float``, should be between 0.0 and 1.0 and represent the 2025-08-26T19:58:27.6407294Z fraction of parameters to prune. If ``int``, it represents the 2025-08-26T19:58:27.6407435Z absolute number of parameters to prune. 2025-08-26T19:58:27.6407440Z 2025-08-26T19:58:27.6407522Z Raises: 2025-08-26T19:58:27.6407671Z TypeError: if ``PRUNING_TYPE != 'unstructured'`` 2025-08-26T19:58:27.6407677Z 2025-08-26T19:58:27.6407771Z Note: 2025-08-26T19:58:27.6407984Z Since global structured pruning doesn't make much sense unless the 2025-08-26T19:58:27.6408197Z norm is normalized by the size of the parameter, we now limit the 2025-08-26T19:58:27.6408349Z scope of global pruning to unstructured methods. 2025-08-26T19:58:27.6408353Z 2025-08-26T19:58:27.6408441Z Examples: 2025-08-26T19:58:27.6408568Z >>> from torch.nn.utils import prune 2025-08-26T19:58:27.6408687Z >>> from collections import OrderedDict 2025-08-26T19:58:27.6408847Z >>> net = nn.Sequential( 2025-08-26T19:58:27.6408976Z ... OrderedDict( 2025-08-26T19:58:27.6409060Z ... [ 2025-08-26T19:58:27.6409191Z ... ("first", nn.Linear(10, 4)), 2025-08-26T19:58:27.6409303Z ... ("second", nn.Linear(4, 1)), 2025-08-26T19:58:27.6409403Z ... ] 2025-08-26T19:58:27.6409490Z ... ) 2025-08-26T19:58:27.6409574Z ... ) 2025-08-26T19:58:27.6409697Z >>> parameters_to_prune = ( 2025-08-26T19:58:27.6409802Z ... (net.first, "weight"), 2025-08-26T19:58:27.6409946Z ... (net.second, "weight"), 2025-08-26T19:58:27.6410043Z ... ) 2025-08-26T19:58:27.6410151Z >>> prune.global_unstructured( 2025-08-26T19:58:27.6410269Z ... parameters_to_prune, 2025-08-26T19:58:27.6410395Z ... pruning_method=prune.L1Unstructured, 2025-08-26T19:58:27.6410486Z ... amount=10, 2025-08-26T19:58:27.6410587Z ... ) 2025-08-26T19:58:27.6410807Z >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0)) 2025-08-26T19:58:27.6410971Z tensor(10) 2025-08-26T19:58:27.6410976Z 2025-08-26T19:58:27.6410980Z 2025-08-26T19:58:27.6411235Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.6411240Z 2025-08-26T19:58:27.6411799Z msg = Cannot scrape callname=custom_from_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1149. 2025-08-26T19:58:27.6412061Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.6412453Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``. 2025-08-26T19:58:27.6412475Z 2025-08-26T19:58:27.6412690Z Modifies module in place (and also return the modified module) by: 2025-08-26T19:58:27.6412695Z 2025-08-26T19:58:27.6412904Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-08-26T19:58:27.6413143Z binary mask applied to the parameter ``name`` by the pruning method. 2025-08-26T19:58:27.6413362Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-08-26T19:58:27.6413589Z original (unpruned) parameter is stored in a new parameter named 2025-08-26T19:58:27.6413685Z ``name+'_orig'``. 2025-08-26T19:58:27.6413690Z 2025-08-26T19:58:27.6413778Z Args: 2025-08-26T19:58:27.6413978Z module (nn.Module): module containing the tensor to prune 2025-08-26T19:58:27.6414160Z name (str): parameter name within ``module`` on which pruning 2025-08-26T19:58:27.6414263Z will act. 2025-08-26T19:58:27.6414438Z mask (Tensor): binary mask to be applied to the parameter. 2025-08-26T19:58:27.6414443Z 2025-08-26T19:58:27.6414528Z Returns: 2025-08-26T19:58:27.6414760Z module (nn.Module): modified (i.e. pruned) version of the input module 2025-08-26T19:58:27.6414764Z 2025-08-26T19:58:27.6414852Z Examples: 2025-08-26T19:58:27.6414992Z >>> from torch.nn.utils import prune 2025-08-26T19:58:27.6415108Z >>> m = prune.custom_from_mask( 2025-08-26T19:58:27.6415280Z ... nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0]) 2025-08-26T19:58:27.6415377Z ... ) 2025-08-26T19:58:27.6415475Z >>> print(m.bias_mask) 2025-08-26T19:58:27.6415583Z tensor([0., 1., 0.]) 2025-08-26T19:58:27.6415587Z 2025-08-26T19:58:27.6415667Z 2025-08-26T19:58:27.6415919Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.6415923Z 2025-08-26T19:58:27.6466602Z msg = Cannot scrape callname=pad_packed_sequence in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py line=350. 2025-08-26T19:58:27.6467163Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.6467329Z Pad a packed batch of variable length sequences. 2025-08-26T19:58:27.6467333Z 2025-08-26T19:58:27.6467512Z It is an inverse operation to :func:`pack_padded_sequence`. 2025-08-26T19:58:27.6467624Z 2025-08-26T19:58:27.6467997Z The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``) 2025-08-26T19:58:27.6468238Z or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest 2025-08-26T19:58:27.6468368Z sequence and ``B`` is the batch size. 2025-08-26T19:58:27.6468373Z 2025-08-26T19:58:27.6468458Z Example: 2025-08-26T19:58:27.6468700Z >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence 2025-08-26T19:58:27.6468866Z >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]]) 2025-08-26T19:58:27.6468960Z >>> lens = [2, 1, 3] 2025-08-26T19:58:27.6469091Z >>> packed = pack_padded_sequence( 2025-08-26T19:58:27.6469243Z ... seq, lens, batch_first=True, enforce_sorted=False 2025-08-26T19:58:27.6469327Z ... ) 2025-08-26T19:58:27.6469429Z >>> packed 2025-08-26T19:58:27.6469753Z PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]), 2025-08-26T19:58:27.6469988Z sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0])) 2025-08-26T19:58:27.6470232Z >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True) 2025-08-26T19:58:27.6470323Z >>> seq_unpacked 2025-08-26T19:58:27.6470432Z tensor([[1, 2, 0], 2025-08-26T19:58:27.6470517Z [3, 0, 0], 2025-08-26T19:58:27.6470624Z [4, 5, 6]]) 2025-08-26T19:58:27.6470717Z >>> lens_unpacked 2025-08-26T19:58:27.6470811Z tensor([2, 1, 3]) 2025-08-26T19:58:27.6470815Z 2025-08-26T19:58:27.6470936Z .. note:: 2025-08-26T19:58:27.6471079Z :attr:`total_length` is useful to implement the 2025-08-26T19:58:27.6471318Z ``pack sequence -> recurrent network -> unpack sequence`` pattern in a 2025-08-26T19:58:27.6471533Z :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`. 2025-08-26T19:58:27.6471771Z See :ref:`this FAQ section ` for 2025-08-26T19:58:27.6471873Z details. 2025-08-26T19:58:27.6471877Z 2025-08-26T19:58:27.6471961Z Args: 2025-08-26T19:58:27.6472105Z sequence (PackedSequence): batch to pad 2025-08-26T19:58:27.6472341Z batch_first (bool, optional): if ``True``, the output will be in ``B x T x *`` 2025-08-26T19:58:27.6472452Z format, ``T x B x *`` otherwise. 2025-08-26T19:58:27.6472655Z padding_value (float, optional): values for padded elements. 2025-08-26T19:58:27.6472884Z total_length (int, optional): if not ``None``, the output will be padded to 2025-08-26T19:58:27.6473193Z have length :attr:`total_length`. This method will throw :class:`ValueError` 2025-08-26T19:58:27.6473381Z if :attr:`total_length` is less than the max sequence length in 2025-08-26T19:58:27.6473496Z :attr:`sequence`. 2025-08-26T19:58:27.6473503Z 2025-08-26T19:58:27.6473588Z Returns: 2025-08-26T19:58:27.6473779Z Tuple of Tensor containing the padded sequence, and a Tensor 2025-08-26T19:58:27.6473993Z containing the list of lengths of each sequence in the batch. 2025-08-26T19:58:27.6474218Z Batch elements will be re-ordered as they were ordered originally when 2025-08-26T19:58:27.6474450Z the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``. 2025-08-26T19:58:27.6474533Z 2025-08-26T19:58:27.6474783Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.6474787Z 2025-08-26T19:58:27.7250010Z msg = Cannot scrape callname=SequentialLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=808. 2025-08-26T19:58:27.7250284Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.7250629Z Contains a list of schedulers expected to be called sequentially during the optimization process. 2025-08-26T19:58:27.7250775Z 2025-08-26T19:58:27.7251159Z Specifically, the schedulers will be called according to the milestone points, which should provide exact 2025-08-26T19:58:27.7251445Z intervals by which each scheduler should be called at a given epoch. 2025-08-26T19:58:27.7251450Z 2025-08-26T19:58:27.7251537Z Args: 2025-08-26T19:58:27.7251689Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T19:58:27.7251839Z schedulers (list): List of chained schedulers. 2025-08-26T19:58:27.7252053Z milestones (list): List of integers that reflects milestone points. 2025-08-26T19:58:27.7252240Z last_epoch (int): The index of last epoch. Default: -1. 2025-08-26T19:58:27.7252245Z 2025-08-26T19:58:27.7252331Z Example: 2025-08-26T19:58:27.7252444Z >>> # xdoctest: +SKIP 2025-08-26T19:58:27.7252596Z >>> # Assuming optimizer uses lr = 0.05 for all groups 2025-08-26T19:58:27.7252702Z >>> # lr = 0.005 if epoch == 0 2025-08-26T19:58:27.7252823Z >>> # lr = 0.005 if epoch == 1 2025-08-26T19:58:27.7253009Z >>> # lr = 0.005 if epoch == 2 2025-08-26T19:58:27.7253112Z >>> # ... 2025-08-26T19:58:27.7253214Z >>> # lr = 0.05 if epoch == 20 2025-08-26T19:58:27.7253316Z >>> # lr = 0.045 if epoch == 21 2025-08-26T19:58:27.7253431Z >>> # lr = 0.0405 if epoch == 22 2025-08-26T19:58:27.7253635Z >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20) 2025-08-26T19:58:27.7253803Z >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9) 2025-08-26T19:58:27.7253915Z >>> scheduler = SequentialLR( 2025-08-26T19:58:27.7254011Z ... optimizer, 2025-08-26T19:58:27.7254160Z ... schedulers=[scheduler1, scheduler2], 2025-08-26T19:58:27.7254263Z ... milestones=[20], 2025-08-26T19:58:27.7254365Z ... ) 2025-08-26T19:58:27.7254469Z >>> for epoch in range(100): 2025-08-26T19:58:27.7254719Z >>> train(...) 2025-08-26T19:58:27.7254837Z >>> validate(...) 2025-08-26T19:58:27.7254945Z >>> scheduler.step() 2025-08-26T19:58:27.7254949Z 2025-08-26T19:58:27.7255158Z .. image:: ../scripts/lr_scheduler_images/SequentialLR.png 2025-08-26T19:58:27.7255240Z 2025-08-26T19:58:27.7255496Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.7255500Z 2025-08-26T19:58:27.7285316Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1233. 2025-08-26T19:58:27.7285660Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:27.7285873Z Reduce learning rate when a metric has stopped improving. 2025-08-26T19:58:27.7285878Z 2025-08-26T19:58:27.7286083Z Models often benefit from reducing the learning rate by a factor 2025-08-26T19:58:27.7286286Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-08-26T19:58:27.7286488Z quantity and if no improvement is seen for a 'patience' number 2025-08-26T19:58:27.7286619Z of epochs, the learning rate is reduced. 2025-08-26T19:58:27.7286624Z 2025-08-26T19:58:27.7286726Z Args: 2025-08-26T19:58:27.7286861Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T19:58:27.7287031Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-08-26T19:58:27.7287188Z be reduced when the quantity monitored has stopped 2025-08-26T19:58:27.7287352Z decreasing; in `max` mode it will be reduced when the 2025-08-26T19:58:27.7287561Z quantity monitored has stopped increasing. Default: 'min'. 2025-08-26T19:58:27.7287737Z factor (float): Factor by which the learning rate will be 2025-08-26T19:58:27.7287893Z reduced. new_lr = lr * factor. Default: 0.1. 2025-08-26T19:58:27.7288113Z patience (int): The number of allowed epochs with no improvement after 2025-08-26T19:58:27.7288244Z which the learning rate will be reduced. 2025-08-26T19:58:27.7288594Z For example, consider the case of having no patience (`patience = 0`). 2025-08-26T19:58:27.7289006Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-08-26T19:58:27.7289234Z In the second epoch, if the performance is worse than the baseline, 2025-08-26T19:58:27.7289389Z we have what is considered an intolerable epoch. 2025-08-26T19:58:27.7289695Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-08-26T19:58:27.7289864Z the learning rate is reduced at the end of this epoch. 2025-08-26T19:58:27.7290206Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-08-26T19:58:27.7290525Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-08-26T19:58:27.7290647Z the learning rate is not adjusted. 2025-08-26T19:58:27.7290764Z Default: 10. 2025-08-26T19:58:27.7291036Z threshold (float): Threshold for measuring the new optimum, 2025-08-26T19:58:27.7291214Z to only focus on significant changes. Default: 1e-4. 2025-08-26T19:58:27.7291391Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-08-26T19:58:27.7291552Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-08-26T19:58:27.7291713Z mode or best * ( 1 - threshold ) in `min` mode. 2025-08-26T19:58:27.7291873Z In `abs` mode, dynamic_threshold = best + threshold in 2025-08-26T19:58:27.7292064Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-08-26T19:58:27.7292236Z cooldown (int): Number of epochs to wait before resuming 2025-08-26T19:58:27.7292412Z normal operation after lr has been reduced. Default: 0. 2025-08-26T19:58:27.7292587Z min_lr (float or list): A scalar or a list of scalars. A 2025-08-26T19:58:27.7292752Z lower bound on the learning rate of all param groups 2025-08-26T19:58:27.7292900Z or each group respectively. Default: 0. 2025-08-26T19:58:27.7293077Z eps (float): Minimal decay applied to lr. If the difference 2025-08-26T19:58:27.7293297Z between new and old lr is smaller than eps, the update is 2025-08-26T19:58:27.7293473Z ignored. Default: 1e-8. 2025-08-26T19:58:27.7293480Z 2025-08-26T19:58:27.7293619Z Example: 2025-08-26T19:58:27.7293795Z >>> # xdoctest: +SKIP 2025-08-26T19:58:27.7294083Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-08-26T19:58:27.7294243Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-08-26T19:58:27.7294358Z >>> for epoch in range(10): 2025-08-26T19:58:27.7294479Z >>> train(...) 2025-08-26T19:58:27.7294667Z >>> val_loss = validate(...) 2025-08-26T19:58:27.7294914Z >>> # Note that step should be called after validate() 2025-08-26T19:58:27.7295119Z >>> scheduler.step(val_loss) 2025-08-26T19:58:27.7295131Z 2025-08-26T19:58:27.7295534Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-08-26T19:58:27.7295685Z 2025-08-26T19:58:27.7296150Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-08-26T19:58:27.7296155Z 2025-08-26T19:58:27.7296259Z scheduler.step(val_loss) 2025-08-26T19:58:27.7296353Z ^ 2025-08-26T19:58:27.7296900Z msg = Cannot scrape callname=CyclicLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1430. 2025-08-26T19:58:27.7297175Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.7297601Z Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR). 2025-08-26T19:58:27.7297610Z 2025-08-26T19:58:27.7298180Z The policy cycles the learning rate between two boundaries with a constant frequency, 2025-08-26T19:58:27.7298549Z as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_. 2025-08-26T19:58:27.7298779Z The distance between the two boundaries can be scaled on a per-iteration 2025-08-26T19:58:27.7298892Z or per-cycle basis. 2025-08-26T19:58:27.7298897Z 2025-08-26T19:58:27.7299150Z Cyclical learning rate policy changes the learning rate after every batch. 2025-08-26T19:58:27.7299361Z `step` should be called after a batch has been used for training. 2025-08-26T19:58:27.7299365Z 2025-08-26T19:58:27.7299573Z This class has three built-in policies, as put forth in the paper: 2025-08-26T19:58:27.7299577Z 2025-08-26T19:58:27.7299783Z * "triangular": A basic triangular cycle without amplitude scaling. 2025-08-26T19:58:27.7300097Z * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle. 2025-08-26T19:58:27.7300420Z * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}` 2025-08-26T19:58:27.7300651Z at each cycle iteration. 2025-08-26T19:58:27.7300657Z 2025-08-26T19:58:27.7300899Z This implementation was adapted from the github repo: `bckenstler/CLR`_ 2025-08-26T19:58:27.7300903Z 2025-08-26T19:58:27.7301005Z Args: 2025-08-26T19:58:27.7301140Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T19:58:27.7301319Z base_lr (float or list): Initial learning rate which is the 2025-08-26T19:58:27.7301505Z lower boundary in the cycle for each parameter group. 2025-08-26T19:58:27.7301773Z max_lr (float or list): Upper learning rate boundaries in the cycle 2025-08-26T19:58:27.7301985Z for each parameter group. Functionally, 2025-08-26T19:58:27.7302187Z it defines the cycle amplitude (max_lr - base_lr). 2025-08-26T19:58:27.7302318Z The lr at any cycle is the sum of base_lr 2025-08-26T19:58:27.7302472Z and some scaling of the amplitude; therefore 2025-08-26T19:58:27.7302647Z max_lr may not actually be reached depending on 2025-08-26T19:58:27.7302819Z scaling function. 2025-08-26T19:58:27.7303074Z step_size_up (int): Number of training iterations in the 2025-08-26T19:58:27.7303207Z increasing half of a cycle. Default: 2000 2025-08-26T19:58:27.7303399Z step_size_down (int): Number of training iterations in the 2025-08-26T19:58:27.7303568Z decreasing half of a cycle. If step_size_down is None, 2025-08-26T19:58:27.7303709Z it is set to step_size_up. Default: None 2025-08-26T19:58:27.7303872Z mode (str): One of {triangular, triangular2, exp_range}. 2025-08-26T19:58:27.7304018Z Values correspond to policies detailed above. 2025-08-26T19:58:27.7304183Z If scale_fn is not None, this argument is ignored. 2025-08-26T19:58:27.7304288Z Default: 'triangular' 2025-08-26T19:58:27.7304469Z gamma (float): Constant in 'exp_range' scaling function: 2025-08-26T19:58:27.7304582Z gamma**(cycle iterations) 2025-08-26T19:58:27.7304677Z Default: 1.0 2025-08-26T19:58:27.7304882Z scale_fn (function): Custom scaling policy defined by a single 2025-08-26T19:58:27.7305000Z argument lambda function, where 2025-08-26T19:58:27.7305129Z 0 <= scale_fn(x) <= 1 for all x >= 0. 2025-08-26T19:58:27.7305248Z If specified, then 'mode' is ignored. 2025-08-26T19:58:27.7305343Z Default: None 2025-08-26T19:58:27.7305483Z scale_mode (str): {'cycle', 'iterations'}. 2025-08-26T19:58:27.7305613Z Defines whether scale_fn is evaluated on 2025-08-26T19:58:27.7305822Z cycle number or cycle iterations (training 2025-08-26T19:58:27.7305938Z iterations since start of cycle). 2025-08-26T19:58:27.7306036Z Default: 'cycle' 2025-08-26T19:58:27.7306248Z cycle_momentum (bool): If ``True``, momentum is cycled inversely 2025-08-26T19:58:27.7306508Z to learning rate between 'base_momentum' and 'max_momentum'. 2025-08-26T19:58:27.7306650Z Default: True 2025-08-26T19:58:27.7306870Z base_momentum (float or list): Lower momentum boundaries in the cycle 2025-08-26T19:58:27.7307077Z for each parameter group. Note that momentum is cycled inversely 2025-08-26T19:58:27.7307322Z to learning rate; at the peak of a cycle, momentum is 2025-08-26T19:58:27.7307464Z 'base_momentum' and learning rate is 'max_lr'. 2025-08-26T19:58:27.7307578Z Default: 0.8 2025-08-26T19:58:27.7307827Z max_momentum (float or list): Upper momentum boundaries in the cycle 2025-08-26T19:58:27.7307957Z for each parameter group. Functionally, 2025-08-26T19:58:27.7308167Z it defines the cycle amplitude (max_momentum - base_momentum). 2025-08-26T19:58:27.7308348Z The momentum at any cycle is the difference of max_momentum 2025-08-26T19:58:27.7308503Z and some scaling of the amplitude; therefore 2025-08-26T19:58:27.7308732Z base_momentum may not actually be reached depending on 2025-08-26T19:58:27.7308921Z scaling function. Note that momentum is cycled inversely 2025-08-26T19:58:27.7309143Z to learning rate; at the start of a cycle, momentum is 'max_momentum' 2025-08-26T19:58:27.7309257Z and learning rate is 'base_lr' 2025-08-26T19:58:27.7309364Z Default: 0.9 2025-08-26T19:58:27.7309588Z last_epoch (int): The index of the last batch. This parameter is used when 2025-08-26T19:58:27.7309805Z resuming a training job. Since `step()` should be invoked after each 2025-08-26T19:58:27.7310033Z batch instead of after each epoch, this number represents the total 2025-08-26T19:58:27.7310252Z number of *batches* computed, not the total number of epochs computed. 2025-08-26T19:58:27.7310460Z When last_epoch=-1, the schedule is started from the beginning. 2025-08-26T19:58:27.7310555Z Default: -1 2025-08-26T19:58:27.7310566Z 2025-08-26T19:58:27.7310651Z Example: 2025-08-26T19:58:27.7310769Z >>> # xdoctest: +SKIP 2025-08-26T19:58:27.7310995Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-08-26T19:58:27.7311158Z >>> scheduler = torch.optim.lr_scheduler.CyclicLR( 2025-08-26T19:58:27.7311252Z ... optimizer, 2025-08-26T19:58:27.7311345Z ... base_lr=0.01, 2025-08-26T19:58:27.7311448Z ... max_lr=0.1, 2025-08-26T19:58:27.7311547Z ... step_size_up=10, 2025-08-26T19:58:27.7311642Z ... ) 2025-08-26T19:58:27.7311790Z >>> data_loader = torch.utils.data.DataLoader(...) 2025-08-26T19:58:27.7311893Z >>> for epoch in range(10): 2025-08-26T19:58:27.7312012Z >>> for batch in data_loader: 2025-08-26T19:58:27.7312109Z >>> train_batch(...) 2025-08-26T19:58:27.7312223Z >>> scheduler.step() 2025-08-26T19:58:27.7312229Z 2025-08-26T19:58:27.7312394Z .. image:: ../scripts/lr_scheduler_images/CyclicLR.png 2025-08-26T19:58:27.7312398Z 2025-08-26T19:58:27.7312709Z .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186 2025-08-26T19:58:27.7312907Z .. _bckenstler/CLR: https://github.com/bckenstler/CLR 2025-08-26T19:58:27.7312987Z 2025-08-26T19:58:27.7313333Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.7313339Z 2025-08-26T19:58:27.7313968Z msg = Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1722. 2025-08-26T19:58:27.7314245Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.7314495Z Set the learning rate of each parameter group using a cosine annealing schedule. 2025-08-26T19:58:27.7314500Z 2025-08-26T19:58:27.7314697Z The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}` 2025-08-26T19:58:27.7315002Z is the number of epochs since the last restart and :math:`T_{i}` is the number 2025-08-26T19:58:27.7315136Z of epochs between two warm restarts in SGDR: 2025-08-26T19:58:27.7315141Z 2025-08-26T19:58:27.7315244Z .. math:: 2025-08-26T19:58:27.7315424Z \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 + 2025-08-26T19:58:27.7315583Z \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right) 2025-08-26T19:58:27.7315587Z 2025-08-26T19:58:27.7315754Z When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`. 2025-08-26T19:58:27.7315956Z When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`. 2025-08-26T19:58:27.7315960Z 2025-08-26T19:58:27.7316065Z It has been proposed in 2025-08-26T19:58:27.7316237Z `SGDR: Stochastic Gradient Descent with Warm Restarts`_. 2025-08-26T19:58:27.7316242Z 2025-08-26T19:58:27.7316345Z Args: 2025-08-26T19:58:27.7316481Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T19:58:27.7316716Z T_0 (int): Number of iterations until the first restart. 2025-08-26T19:58:27.7317007Z T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1. 2025-08-26T19:58:27.7317194Z eta_min (float, optional): Minimum learning rate. Default: 0. 2025-08-26T19:58:27.7317422Z last_epoch (int, optional): The index of the last epoch. Default: -1. 2025-08-26T19:58:27.7317427Z 2025-08-26T19:58:27.7317596Z .. _SGDR\: Stochastic Gradient Descent with Warm Restarts: 2025-08-26T19:58:27.7317727Z https://arxiv.org/abs/1608.03983 2025-08-26T19:58:27.7317731Z 2025-08-26T19:58:27.7317819Z Example: 2025-08-26T19:58:27.7317918Z >>> # xdoctest: +SKIP 2025-08-26T19:58:27.7318116Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05) 2025-08-26T19:58:27.7318345Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts( 2025-08-26T19:58:27.7318462Z ... optimizer, T_0=20 2025-08-26T19:58:27.7318547Z ... ) 2025-08-26T19:58:27.7318656Z >>> for epoch in range(100): 2025-08-26T19:58:27.7318763Z >>> train(...) 2025-08-26T19:58:27.7318858Z >>> validate(...) 2025-08-26T19:58:27.7318974Z >>> scheduler.step() 2025-08-26T19:58:27.7318978Z 2025-08-26T19:58:27.7319213Z .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png 2025-08-26T19:58:27.7319297Z 2025-08-26T19:58:27.7319564Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.7319568Z 2025-08-26T19:58:27.7324882Z msg = Cannot scrape callname=OneCycleLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1872. 2025-08-26T19:58:27.7325196Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.7325502Z Sets the learning rate of each parameter group according to the 1cycle learning rate policy. 2025-08-26T19:58:27.7325530Z 2025-08-26T19:58:27.7325832Z The 1cycle policy anneals the learning rate from an initial learning rate to some maximum 2025-08-26T19:58:27.7326127Z learning rate and then from that maximum learning rate to some minimum learning rate much 2025-08-26T19:58:27.7326261Z lower than the initial learning rate. 2025-08-26T19:58:27.7326486Z This policy was initially described in the paper `Super-Convergence: 2025-08-26T19:58:27.7326715Z Very Fast Training of Neural Networks Using Large Learning Rates`_. 2025-08-26T19:58:27.7326720Z 2025-08-26T19:58:27.7326963Z The 1cycle learning rate policy changes the learning rate after every batch. 2025-08-26T19:58:27.7327159Z `step` should be called after a batch has been used for training. 2025-08-26T19:58:27.7327180Z 2025-08-26T19:58:27.7327292Z This scheduler is not chainable. 2025-08-26T19:58:27.7327297Z 2025-08-26T19:58:27.7327539Z Note also that the total number of steps in the cycle can be determined in one 2025-08-26T19:58:27.7327762Z of two ways (listed in order of precedence): 2025-08-26T19:58:27.7327806Z 2025-08-26T19:58:27.7327958Z #. A value for total_steps is explicitly provided. 2025-08-26T19:58:27.7328161Z #. A number of epochs (epochs) and a number of steps per epoch 2025-08-26T19:58:27.7328279Z (steps_per_epoch) are provided. 2025-08-26T19:58:27.7328440Z In this case, the number of total steps is inferred by 2025-08-26T19:58:27.7328582Z total_steps = epochs * steps_per_epoch 2025-08-26T19:58:27.7328586Z 2025-08-26T19:58:27.7328826Z You must either provide a value for total_steps or provide a value for both 2025-08-26T19:58:27.7328952Z epochs and steps_per_epoch. 2025-08-26T19:58:27.7328956Z 2025-08-26T19:58:27.7329264Z The default behaviour of this scheduler follows the fastai implementation of 1cycle, which 2025-08-26T19:58:27.7329559Z claims that "unpublished work has shown even better results by using only two phases". To 2025-08-26T19:58:27.7329882Z mimic the behaviour of the original paper instead, set ``three_phase=True``. 2025-08-26T19:58:27.7329889Z 2025-08-26T19:58:27.7329975Z Args: 2025-08-26T19:58:27.7330123Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T19:58:27.7330324Z max_lr (float or list): Upper learning rate boundaries in the cycle 2025-08-26T19:58:27.7330452Z for each parameter group. 2025-08-26T19:58:27.7330660Z total_steps (int): The total number of steps in the cycle. Note that 2025-08-26T19:58:27.7330873Z if a value is not provided here, then it must be inferred by providing 2025-08-26T19:58:27.7331047Z a value for epochs and steps_per_epoch. 2025-08-26T19:58:27.7331189Z Default: None 2025-08-26T19:58:27.7331409Z epochs (int): The number of epochs to train for. This is used along 2025-08-26T19:58:27.7331656Z with steps_per_epoch in order to infer the total number of steps in the cycle 2025-08-26T19:58:27.7331794Z if a value for total_steps is not provided. 2025-08-26T19:58:27.7331916Z Default: None 2025-08-26T19:58:27.7332145Z steps_per_epoch (int): The number of steps per epoch to train for. This is 2025-08-26T19:58:27.7332388Z used along with epochs in order to infer the total number of steps in the 2025-08-26T19:58:27.7332536Z cycle if a value for total_steps is not provided. 2025-08-26T19:58:27.7332630Z Default: None 2025-08-26T19:58:27.7332874Z pct_start (float): The percentage of the cycle (in number of steps) spent 2025-08-26T19:58:27.7332988Z increasing the learning rate. 2025-08-26T19:58:27.7333094Z Default: 0.3 2025-08-26T19:58:27.7333215Z anneal_strategy (str): {'cos', 'linear'} 2025-08-26T19:58:27.7333461Z Specifies the annealing strategy: "cos" for cosine annealing, "linear" for 2025-08-26T19:58:27.7333570Z linear annealing. 2025-08-26T19:58:27.7333664Z Default: 'cos' 2025-08-26T19:58:27.7333880Z cycle_momentum (bool): If ``True``, momentum is cycled inversely 2025-08-26T19:58:27.7334065Z to learning rate between 'base_momentum' and 'max_momentum'. 2025-08-26T19:58:27.7334158Z Default: True 2025-08-26T19:58:27.7334384Z base_momentum (float or list): Lower momentum boundaries in the cycle 2025-08-26T19:58:27.7334586Z for each parameter group. Note that momentum is cycled inversely 2025-08-26T19:58:27.7334762Z to learning rate; at the peak of a cycle, momentum is 2025-08-26T19:58:27.7334902Z 'base_momentum' and learning rate is 'max_lr'. 2025-08-26T19:58:27.7334993Z Default: 0.85 2025-08-26T19:58:27.7335218Z max_momentum (float or list): Upper momentum boundaries in the cycle 2025-08-26T19:58:27.7335349Z for each parameter group. Functionally, 2025-08-26T19:58:27.7335562Z it defines the cycle amplitude (max_momentum - base_momentum). 2025-08-26T19:58:27.7335721Z Note that momentum is cycled inversely 2025-08-26T19:58:27.7335966Z to learning rate; at the start of a cycle, momentum is 'max_momentum' 2025-08-26T19:58:27.7336093Z and learning rate is 'base_lr' 2025-08-26T19:58:27.7336185Z Default: 0.95 2025-08-26T19:58:27.7336383Z div_factor (float): Determines the initial learning rate via 2025-08-26T19:58:27.7336493Z initial_lr = max_lr/div_factor 2025-08-26T19:58:27.7336583Z Default: 25 2025-08-26T19:58:27.7336812Z final_div_factor (float): Determines the minimum learning rate via 2025-08-26T19:58:27.7336931Z min_lr = initial_lr/final_div_factor 2025-08-26T19:58:27.7337040Z Default: 1e4 2025-08-26T19:58:27.7337285Z three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the 2025-08-26T19:58:27.7337542Z learning rate according to 'final_div_factor' instead of modifying the second 2025-08-26T19:58:27.7337870Z phase (the first two phases will be symmetrical about the step indicated by 2025-08-26T19:58:27.7337968Z 'pct_start'). 2025-08-26T19:58:27.7338204Z last_epoch (int): The index of the last batch. This parameter is used when 2025-08-26T19:58:27.7338421Z resuming a training job. Since `step()` should be invoked after each 2025-08-26T19:58:27.7338637Z batch instead of after each epoch, this number represents the total 2025-08-26T19:58:27.7338872Z number of *batches* computed, not the total number of epochs computed. 2025-08-26T19:58:27.7339064Z When last_epoch=-1, the schedule is started from the beginning. 2025-08-26T19:58:27.7339171Z Default: -1 2025-08-26T19:58:27.7339176Z 2025-08-26T19:58:27.7339264Z Example: 2025-08-26T19:58:27.7339362Z >>> # xdoctest: +SKIP 2025-08-26T19:58:27.7339530Z >>> data_loader = torch.utils.data.DataLoader(...) 2025-08-26T19:58:27.7339764Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9) 2025-08-26T19:58:27.7339945Z >>> scheduler = torch.optim.lr_scheduler.OneCycleLR( 2025-08-26T19:58:27.7340155Z ... optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10 2025-08-26T19:58:27.7340239Z ... ) 2025-08-26T19:58:27.7340355Z >>> for epoch in range(10): 2025-08-26T19:58:27.7340463Z >>> for batch in data_loader: 2025-08-26T19:58:27.7340576Z >>> train_batch(...) 2025-08-26T19:58:27.7340678Z >>> optimizer.step() 2025-08-26T19:58:27.7340780Z >>> scheduler.step() 2025-08-26T19:58:27.7340785Z 2025-08-26T19:58:27.7340975Z .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png 2025-08-26T19:58:27.7340980Z 2025-08-26T19:58:27.7341272Z .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates: 2025-08-26T19:58:27.7341411Z https://arxiv.org/abs/1708.07120 2025-08-26T19:58:27.7341494Z 2025-08-26T19:58:27.7341768Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.7341775Z 2025-08-26T19:58:27.7465367Z msg = Cannot scrape callname=Optimizer.load_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/optimizer.py line=867. 2025-08-26T19:58:27.7465655Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.7465759Z Load the optimizer state. 2025-08-26T19:58:27.7465765Z 2025-08-26T19:58:27.7465849Z Args: 2025-08-26T19:58:27.7466064Z state_dict (dict): optimizer state. Should be an object returned 2025-08-26T19:58:27.7466185Z from a call to :meth:`state_dict`. 2025-08-26T19:58:27.7466190Z 2025-08-26T19:58:27.7466302Z .. warning:: 2025-08-26T19:58:27.7466641Z Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`, 2025-08-26T19:58:27.7466851Z as calling it beforehand will overwrite the loaded learning rates. 2025-08-26T19:58:27.7466963Z 2025-08-26T19:58:27.7467125Z .. note:: 2025-08-26T19:58:27.7467418Z The names of the parameters (if they exist under the "param_names" key of each param group 2025-08-26T19:58:27.7467605Z in :meth:`state_dict`) will not affect the loading process. 2025-08-26T19:58:27.7467930Z To use the parameters' names for custom cases (such as when the parameters in the loaded state dict 2025-08-26T19:58:27.7468087Z differ from those initialized in the optimizer), 2025-08-26T19:58:27.7468409Z a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict 2025-08-26T19:58:27.7468505Z accordingly. 2025-08-26T19:58:27.7468824Z If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override 2025-08-26T19:58:27.7469144Z the current names, if present, in the optimizer state. If they do not exist in loaded state dict, 2025-08-26T19:58:27.7469403Z the optimizer ``param_names`` will remain unchanged. 2025-08-26T19:58:27.7469410Z 2025-08-26T19:58:27.7469498Z Example: 2025-08-26T19:58:27.7469599Z >>> # xdoctest: +SKIP 2025-08-26T19:58:27.7469732Z >>> model = torch.nn.Linear(10, 10) 2025-08-26T19:58:27.7469901Z >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4) 2025-08-26T19:58:27.7470076Z >>> scheduler1 = torch.optim.lr_scheduler.LinearLR( 2025-08-26T19:58:27.7470168Z ... optim, 2025-08-26T19:58:27.7470269Z ... start_factor=0.1, 2025-08-26T19:58:27.7470379Z ... end_factor=1, 2025-08-26T19:58:27.7470476Z ... total_iters=20, 2025-08-26T19:58:27.7470580Z ... ) 2025-08-26T19:58:27.7470771Z >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR( 2025-08-26T19:58:27.7470862Z ... optim, 2025-08-26T19:58:27.7470970Z ... T_max=80, 2025-08-26T19:58:27.7471067Z ... eta_min=3e-5, 2025-08-26T19:58:27.7471170Z ... ) 2025-08-26T19:58:27.7471316Z >>> lr = torch.optim.lr_scheduler.SequentialLR( 2025-08-26T19:58:27.7471405Z ... optim, 2025-08-26T19:58:27.7471551Z ... schedulers=[scheduler1, scheduler2], 2025-08-26T19:58:27.7471651Z ... milestones=[20], 2025-08-26T19:58:27.7471747Z ... ) 2025-08-26T19:58:27.7471930Z >>> lr.load_state_dict(torch.load("./save_seq.pt")) 2025-08-26T19:58:27.7472133Z >>> # now load the optimizer checkpoint after loading the LRScheduler 2025-08-26T19:58:27.7472315Z >>> optim.load_state_dict(torch.load("./save_optim.pt")) 2025-08-26T19:58:27.7472320Z 2025-08-26T19:58:27.7472402Z 2025-08-26T19:58:27.7472667Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.7472671Z 2025-08-26T19:58:27.7663086Z msg = Cannot scrape callname=AveragedModel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=120. 2025-08-26T19:58:27.7664200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.7664959Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA). 2025-08-26T19:58:27.7665456Z 2025-08-26T19:58:27.7665700Z Stochastic Weight Averaging was proposed in `Averaging Weights Leads to 2025-08-26T19:58:27.7666291Z Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii 2025-08-26T19:58:27.7666851Z Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson 2025-08-26T19:58:27.7667269Z (UAI 2018). 2025-08-26T19:58:27.7667422Z 2025-08-26T19:58:27.7667662Z Exponential Moving Average is a variation of `Polyak averaging`_, 2025-08-26T19:58:27.7668234Z but using exponential weights instead of equal weights across iterations. 2025-08-26T19:58:27.7668609Z 2025-08-26T19:58:27.7668986Z AveragedModel class creates a copy of the provided module :attr:`model` 2025-08-26T19:58:27.7669641Z on the device :attr:`device` and allows to compute running averages of the 2025-08-26T19:58:27.7670109Z parameters of the :attr:`model`. 2025-08-26T19:58:27.7670321Z 2025-08-26T19:58:27.7670407Z Args: 2025-08-26T19:58:27.7670698Z model (torch.nn.Module): model to use with SWA/EMA 2025-08-26T19:58:27.7671217Z device (torch.device, optional): if provided, the averaged model will be 2025-08-26T19:58:27.7671698Z stored on the :attr:`device` 2025-08-26T19:58:27.7672179Z avg_fn (function, optional): the averaging function used to update 2025-08-26T19:58:27.7672705Z parameters; the function must take in the current value of the 2025-08-26T19:58:27.7673371Z :class:`AveragedModel` parameter, the current value of :attr:`model` 2025-08-26T19:58:27.7673926Z parameter, and the number of models already averaged; if None, 2025-08-26T19:58:27.7674422Z an equally weighted average is used (default: None) 2025-08-26T19:58:27.7675034Z multi_avg_fn (function, optional): the averaging function used to update 2025-08-26T19:58:27.7675636Z parameters inplace; the function must take in the current values of the 2025-08-26T19:58:27.7676267Z :class:`AveragedModel` parameters as a list, the current values of :attr:`model` 2025-08-26T19:58:27.7676899Z parameters as a list, and the number of models already averaged; if None, 2025-08-26T19:58:27.7677424Z an equally weighted average is used (default: None) 2025-08-26T19:58:27.7677914Z use_buffers (bool): if ``True``, it will compute running averages for 2025-08-26T19:58:27.7678463Z both the parameters and the buffers of the model. (default: ``False``) 2025-08-26T19:58:27.7678821Z 2025-08-26T19:58:27.7678911Z Example: 2025-08-26T19:58:27.7679223Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:27.7679601Z >>> loader, optimizer, model, loss_fn = ... 2025-08-26T19:58:27.7680027Z >>> swa_model = torch.optim.swa_utils.AveragedModel(model) 2025-08-26T19:58:27.7680533Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, 2025-08-26T19:58:27.7680995Z >>> T_max=300) 2025-08-26T19:58:27.7681329Z >>> swa_start = 160 2025-08-26T19:58:27.7681651Z >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05) 2025-08-26T19:58:27.7682002Z >>> for i in range(300): 2025-08-26T19:58:27.7682318Z >>> for input, target in loader: 2025-08-26T19:58:27.7682659Z >>> optimizer.zero_grad() 2025-08-26T19:58:27.7683017Z >>> loss_fn(model(input), target).backward() 2025-08-26T19:58:27.7683368Z >>> optimizer.step() 2025-08-26T19:58:27.7683682Z >>> if i > swa_start: 2025-08-26T19:58:27.7684012Z >>> swa_model.update_parameters(model) 2025-08-26T19:58:27.7684379Z >>> swa_scheduler.step() 2025-08-26T19:58:27.7684686Z >>> else: 2025-08-26T19:58:27.7684955Z >>> scheduler.step() 2025-08-26T19:58:27.7685249Z >>> 2025-08-26T19:58:27.7685536Z >>> # Update bn statistics for the swa_model at the end 2025-08-26T19:58:27.7685971Z >>> torch.optim.swa_utils.update_bn(loader, swa_model) 2025-08-26T19:58:27.7686261Z 2025-08-26T19:58:27.7686562Z You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters. 2025-08-26T19:58:27.7687188Z If no averaging function is provided, the default is to compute 2025-08-26T19:58:27.7687657Z equally-weighted average of the weights (SWA). 2025-08-26T19:58:27.7687916Z 2025-08-26T19:58:27.7688013Z Example: 2025-08-26T19:58:27.7688267Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:27.7688729Z >>> # Compute exponential moving averages of the weights and buffers 2025-08-26T19:58:27.7689291Z >>> ema_model = torch.optim.swa_utils.AveragedModel(model, 2025-08-26T19:58:27.7689884Z >>> torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True) 2025-08-26T19:58:27.7690225Z 2025-08-26T19:58:27.7690362Z .. note:: 2025-08-26T19:58:27.7690733Z When using SWA/EMA with models containing Batch Normalization you may 2025-08-26T19:58:27.7691293Z need to update the activation statistics for Batch Normalization. 2025-08-26T19:58:27.7691867Z This can be done either by using the :meth:`torch.optim.swa_utils.update_bn` 2025-08-26T19:58:27.7692462Z or by setting :attr:`use_buffers` to `True`. The first approach updates the 2025-08-26T19:58:27.7693049Z statistics in a post-training step by passing data through the model. The 2025-08-26T19:58:27.7693690Z second does it during the parameter update phase by averaging all buffers. 2025-08-26T19:58:27.7694303Z Empirical evidence has shown that updating the statistics in normalization 2025-08-26T19:58:27.7694971Z layers increases accuracy, but you may wish to empirically test which 2025-08-26T19:58:27.7695486Z approach yields the best results in your problem. 2025-08-26T19:58:27.7695751Z 2025-08-26T19:58:27.7695839Z .. note:: 2025-08-26T19:58:27.7696233Z :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model. 2025-08-26T19:58:27.7696620Z 2025-08-26T19:58:27.7696705Z .. note:: 2025-08-26T19:58:27.7697048Z When :meth:`update_parameters` is called for the first time (i.e. 2025-08-26T19:58:27.7697549Z :attr:`n_averaged` is `0`) the parameters of `model` are copied 2025-08-26T19:58:27.7698065Z to the parameters of :class:`AveragedModel`. For every subsequent 2025-08-26T19:58:27.7698580Z call of :meth:`update_parameters` the function `avg_fn` is used 2025-08-26T19:58:27.7698999Z to update the parameters. 2025-08-26T19:58:27.7699199Z 2025-08-26T19:58:27.7699435Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2025-08-26T19:58:27.7699906Z https://arxiv.org/abs/1803.05407 2025-08-26T19:58:27.7700377Z .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should 2025-08-26T19:58:27.7700831Z Average: 2025-08-26T19:58:27.7701090Z https://arxiv.org/abs/1806.05594 2025-08-26T19:58:27.7701505Z .. _SWALP: Stochastic Weight Averaging in Low-Precision Training: 2025-08-26T19:58:27.7701944Z https://arxiv.org/abs/1904.11943 2025-08-26T19:58:27.7702394Z .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That 2025-08-26T19:58:27.7702844Z Generalizes Well: 2025-08-26T19:58:27.7703125Z https://arxiv.org/abs/2001.02312 2025-08-26T19:58:27.7703453Z .. _Polyak averaging: 2025-08-26T19:58:27.7703798Z https://paperswithcode.com/method/polyak-averaging 2025-08-26T19:58:27.7704171Z 2025-08-26T19:58:27.7704531Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.7704926Z 2025-08-26T19:58:27.7705410Z msg = Cannot scrape callname=SWALR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=375. 2025-08-26T19:58:27.7706282Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:27.7706887Z Anneals the learning rate in each parameter group to a fixed value. 2025-08-26T19:58:27.7707216Z 2025-08-26T19:58:27.7707464Z This learning rate scheduler is meant to be used with Stochastic Weight 2025-08-26T19:58:27.7708028Z Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`). 2025-08-26T19:58:27.7708377Z 2025-08-26T19:58:27.7708461Z Args: 2025-08-26T19:58:27.7708764Z optimizer (torch.optim.Optimizer): wrapped optimizer 2025-08-26T19:58:27.7709268Z swa_lrs (float or list): the learning rate value for all param groups 2025-08-26T19:58:27.7709735Z together or separately for each group. 2025-08-26T19:58:27.7710175Z annealing_epochs (int): number of epochs in the annealing phase 2025-08-26T19:58:27.7710674Z (default: 10) 2025-08-26T19:58:27.7711075Z annealing_strategy (str): "cos" or "linear"; specifies the annealing 2025-08-26T19:58:27.7711637Z strategy: "cos" for cosine annealing, "linear" for linear annealing 2025-08-26T19:58:27.7712062Z (default: "cos") 2025-08-26T19:58:27.7712440Z last_epoch (int): the index of the last epoch (default: -1) 2025-08-26T19:58:27.7712751Z 2025-08-26T19:58:27.7712929Z The :class:`SWALR` scheduler can be used together with other 2025-08-26T19:58:27.7713564Z schedulers to switch to a constant learning rate late in the training 2025-08-26T19:58:27.7714027Z as in the example below. 2025-08-26T19:58:27.7714230Z 2025-08-26T19:58:27.7714321Z Example: 2025-08-26T19:58:27.7714597Z >>> # xdoctest: +SKIP("Undefined variables") 2025-08-26T19:58:27.7714968Z >>> loader, optimizer, model = ... 2025-08-26T19:58:27.7715317Z >>> lr_lambda = lambda epoch: 0.9 2025-08-26T19:58:27.7715822Z >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer, 2025-08-26T19:58:27.7716281Z >>> lr_lambda=lr_lambda) 2025-08-26T19:58:27.7716676Z >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer, 2025-08-26T19:58:27.7717153Z >>> anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05) 2025-08-26T19:58:27.7717548Z >>> swa_start = 160 2025-08-26T19:58:27.7717836Z >>> for i in range(300): 2025-08-26T19:58:27.7718153Z >>> for input, target in loader: 2025-08-26T19:58:27.7718495Z >>> optimizer.zero_grad() 2025-08-26T19:58:27.7718841Z >>> loss_fn(model(input), target).backward() 2025-08-26T19:58:27.7719208Z >>> optimizer.step() 2025-08-26T19:58:27.7719518Z >>> if i > swa_start: 2025-08-26T19:58:27.7719825Z >>> swa_scheduler.step() 2025-08-26T19:58:27.7720123Z >>> else: 2025-08-26T19:58:27.7720386Z >>> scheduler.step() 2025-08-26T19:58:27.7720610Z 2025-08-26T19:58:27.7720833Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2025-08-26T19:58:27.7721309Z https://arxiv.org/abs/1803.05407 2025-08-26T19:58:27.7721603Z 2025-08-26T19:58:27.7721978Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:27.7722360Z 2025-08-26T19:58:28.2846347Z msg = Cannot scrape callname=assert_close in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_comparison.py line=1331. 2025-08-26T19:58:28.2847321Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:28.2847854Z Asserts that ``actual`` and ``expected`` are close. 2025-08-26T19:58:28.2848135Z 2025-08-26T19:58:28.2848506Z If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if 2025-08-26T19:58:28.2849020Z 2025-08-26T19:58:28.2849128Z .. math:: 2025-08-26T19:58:28.2849256Z 2025-08-26T19:58:28.2849662Z \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert 2025-08-26T19:58:28.2850142Z 2025-08-26T19:58:28.2850498Z Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are 2025-08-26T19:58:28.2851158Z only considered equal to each other if ``equal_nan`` is ``True``. 2025-08-26T19:58:28.2851494Z 2025-08-26T19:58:28.2851692Z In addition, they are only considered close if they have the same 2025-08-26T19:58:28.2852020Z 2025-08-26T19:58:28.2852213Z - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``), 2025-08-26T19:58:28.2852655Z - ``dtype`` (if ``check_dtype`` is ``True``), 2025-08-26T19:58:28.2853043Z - ``layout`` (if ``check_layout`` is ``True``), and 2025-08-26T19:58:28.2853410Z - stride (if ``check_stride`` is ``True``). 2025-08-26T19:58:28.2853849Z 2025-08-26T19:58:28.2854152Z If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed. 2025-08-26T19:58:28.2854875Z 2025-08-26T19:58:28.2855239Z If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are 2025-08-26T19:58:28.2856103Z checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR, 2025-08-26T19:58:28.2856831Z or ``ccol_indices`` and ``row_indices`` for CSC and BSC layouts, respectively, 2025-08-26T19:58:28.2857559Z are always checked for equality whereas the values are checked for closeness according to the definition above. 2025-08-26T19:58:28.2858081Z 2025-08-26T19:58:28.2858363Z If ``actual`` and ``expected`` are quantized, they are considered close if they have the same 2025-08-26T19:58:28.2859126Z :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the 2025-08-26T19:58:28.2859707Z definition above. 2025-08-26T19:58:28.2859866Z 2025-08-26T19:58:28.2860302Z ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which 2025-08-26T19:58:28.2861114Z :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types 2025-08-26T19:58:28.2861965Z have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s 2025-08-26T19:58:28.2862836Z or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all 2025-08-26T19:58:28.2863572Z their elements are considered close according to the above definition. 2025-08-26T19:58:28.2863920Z 2025-08-26T19:58:28.2864084Z .. note:: 2025-08-26T19:58:28.2864235Z 2025-08-26T19:58:28.2864569Z Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e. 2025-08-26T19:58:28.2865361Z :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus, 2025-08-26T19:58:28.2866092Z Python scalars of different types can be checked, but require ``check_dtype=False``. 2025-08-26T19:58:28.2866487Z 2025-08-26T19:58:28.2866590Z Args: 2025-08-26T19:58:28.2866811Z actual (Any): Actual input. 2025-08-26T19:58:28.2867138Z expected (Any): Expected input. 2025-08-26T19:58:28.2867730Z allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types 2025-08-26T19:58:28.2868374Z are allowed. Otherwise type equality is required. 2025-08-26T19:58:28.2869005Z rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default 2025-08-26T19:58:28.2869761Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2025-08-26T19:58:28.2870515Z atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default 2025-08-26T19:58:28.2871278Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2025-08-26T19:58:28.2871918Z equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal. 2025-08-26T19:58:28.2872564Z check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same 2025-08-26T19:58:28.2873298Z :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different 2025-08-26T19:58:28.2873914Z :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared. 2025-08-26T19:58:28.2874630Z check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this 2025-08-26T19:58:28.2875465Z check is disabled, tensors with different ``dtype``'s are promoted to a common ``dtype`` (according to 2025-08-26T19:58:28.2876090Z :func:`torch.promote_types`) before being compared. 2025-08-26T19:58:28.2876855Z check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this 2025-08-26T19:58:28.2877695Z check is disabled, tensors with different ``layout``'s are converted to strided tensors before being 2025-08-26T19:58:28.2878261Z compared. 2025-08-26T19:58:28.2878795Z check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride. 2025-08-26T19:58:28.2879630Z msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during 2025-08-26T19:58:28.2880474Z the comparison. Can also passed as callable in which case it will be called with the generated message and 2025-08-26T19:58:28.2881079Z should return the new message. 2025-08-26T19:58:28.2881301Z 2025-08-26T19:58:28.2881405Z Raises: 2025-08-26T19:58:28.2881772Z ValueError: If no :class:`torch.Tensor` can be constructed from an input. 2025-08-26T19:58:28.2882354Z ValueError: If only ``rtol`` or ``atol`` is specified. 2025-08-26T19:58:28.2882976Z AssertionError: If corresponding inputs are not Python scalars and are not directly related. 2025-08-26T19:58:28.2883805Z AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have 2025-08-26T19:58:28.2884402Z different types. 2025-08-26T19:58:28.2884970Z AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match. 2025-08-26T19:58:28.2885816Z AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match. 2025-08-26T19:58:28.2886637Z AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`. 2025-08-26T19:58:28.2887387Z AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same 2025-08-26T19:58:28.2887939Z :attr:`~torch.Tensor.layout`. 2025-08-26T19:58:28.2888394Z AssertionError: If only one of corresponding tensors is quantized. 2025-08-26T19:58:28.2889118Z AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s. 2025-08-26T19:58:28.2889933Z AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same 2025-08-26T19:58:28.2890469Z :attr:`~torch.Tensor.device`. 2025-08-26T19:58:28.2891029Z AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``. 2025-08-26T19:58:28.2891834Z AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride. 2025-08-26T19:58:28.2892686Z AssertionError: If the values of corresponding tensors are not close according to the definition above. 2025-08-26T19:58:28.2893184Z 2025-08-26T19:58:28.2893553Z The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching 2025-08-26T19:58:28.2894194Z ``dtype``'s, the maximum of both tolerances is used. 2025-08-26T19:58:28.2894453Z 2025-08-26T19:58:28.2894596Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2894970Z | ``dtype`` | ``rtol`` | ``atol`` | 2025-08-26T19:58:28.2895309Z +===========================+============+==========+ 2025-08-26T19:58:28.2895675Z | :attr:`~torch.float16` | ``1e-3`` | ``1e-5`` | 2025-08-26T19:58:28.2896050Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2896426Z | :attr:`~torch.bfloat16` | ``1.6e-2`` | ``1e-5`` | 2025-08-26T19:58:28.2896789Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2897165Z | :attr:`~torch.float32` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:28.2897540Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2897964Z | :attr:`~torch.float64` | ``1e-7`` | ``1e-7`` | 2025-08-26T19:58:28.2898359Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2898744Z | :attr:`~torch.complex32` | ``1e-3`` | ``1e-5`` | 2025-08-26T19:58:28.2899126Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2899509Z | :attr:`~torch.complex64` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:28.2899874Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2900253Z | :attr:`~torch.complex128` | ``1e-7`` | ``1e-7`` | 2025-08-26T19:58:28.2900628Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2901003Z | :attr:`~torch.quint8` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:28.2901376Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2901781Z | :attr:`~torch.quint2x4` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:28.2902153Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2902765Z | :attr:`~torch.quint4x2` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:28.2903158Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2903523Z | :attr:`~torch.qint8` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:28.2903902Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2904282Z | :attr:`~torch.qint32` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:28.2904660Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2905013Z | other | ``0.0`` | ``0.0`` | 2025-08-26T19:58:28.2905379Z +---------------------------+------------+----------+ 2025-08-26T19:58:28.2905628Z 2025-08-26T19:58:28.2905723Z .. note:: 2025-08-26T19:58:28.2905850Z 2025-08-26T19:58:28.2906249Z :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged 2025-08-26T19:58:28.2907119Z to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might 2025-08-26T19:58:28.2907851Z define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default: 2025-08-26T19:58:28.2908244Z 2025-08-26T19:58:28.2908344Z >>> import functools 2025-08-26T19:58:28.2908785Z >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0) 2025-08-26T19:58:28.2909278Z >>> assert_equal(1e-9, 1e-10) 2025-08-26T19:58:28.2909610Z Traceback (most recent call last): 2025-08-26T19:58:28.2909910Z ... 2025-08-26T19:58:28.2910164Z AssertionError: Scalars are not equal! 2025-08-26T19:58:28.2910494Z 2025-08-26T19:58:28.2910756Z Expected 1e-10 but got 1e-09. 2025-08-26T19:58:28.2911087Z Absolute difference: 9.000000000000001e-10 2025-08-26T19:58:28.2911436Z Relative difference: 9.0 2025-08-26T19:58:28.2911630Z 2025-08-26T19:58:28.2911730Z Examples: 2025-08-26T19:58:28.2911980Z >>> # tensor to tensor comparison 2025-08-26T19:58:28.2912333Z >>> expected = torch.tensor([1e0, 1e-1, 1e-2]) 2025-08-26T19:58:28.2912718Z >>> actual = torch.acos(torch.cos(expected)) 2025-08-26T19:58:28.2913247Z >>> torch.testing.assert_close(actual, expected) 2025-08-26T19:58:28.2913626Z 2025-08-26T19:58:28.2913755Z >>> # scalar to scalar comparison 2025-08-26T19:58:28.2914062Z >>> import math 2025-08-26T19:58:28.2914337Z >>> expected = math.sqrt(2.0) 2025-08-26T19:58:28.2914659Z >>> actual = 2.0 / math.sqrt(2.0) 2025-08-26T19:58:28.2915028Z >>> torch.testing.assert_close(actual, expected) 2025-08-26T19:58:28.2915283Z 2025-08-26T19:58:28.2915424Z >>> # numpy array to numpy array comparison 2025-08-26T19:58:28.2915763Z >>> import numpy as np 2025-08-26T19:58:28.2916080Z >>> expected = np.array([1e0, 1e-1, 1e-2]) 2025-08-26T19:58:28.2916452Z >>> actual = np.arccos(np.cos(expected)) 2025-08-26T19:58:28.2916908Z >>> torch.testing.assert_close(actual, expected) 2025-08-26T19:58:28.2917212Z 2025-08-26T19:58:28.2917332Z >>> # sequence to sequence comparison 2025-08-26T19:58:28.2917671Z >>> import numpy as np 2025-08-26T19:58:28.2918115Z >>> # The types of the sequences do not have to match. They only have to have the same 2025-08-26T19:58:28.2918624Z >>> # length and their elements have to match. 2025-08-26T19:58:28.2919013Z >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)] 2025-08-26T19:58:28.2919398Z >>> actual = tuple(expected) 2025-08-26T19:58:28.2919760Z >>> torch.testing.assert_close(actual, expected) 2025-08-26T19:58:28.2920016Z 2025-08-26T19:58:28.2920147Z >>> # mapping to mapping comparison 2025-08-26T19:58:28.2920504Z >>> from collections import OrderedDict 2025-08-26T19:58:28.2920838Z >>> import numpy as np 2025-08-26T19:58:28.2921137Z >>> foo = torch.tensor(1.0) 2025-08-26T19:58:28.2921445Z >>> bar = 2.0 2025-08-26T19:58:28.2921772Z >>> baz = np.array(3.0) 2025-08-26T19:58:28.2922205Z >>> # The types and a possible ordering of mappings do not have to match. They only 2025-08-26T19:58:28.2922793Z >>> # have to have the same set of keys and their elements have to match. 2025-08-26T19:58:28.2923336Z >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)]) 2025-08-26T19:58:28.2923809Z >>> actual = {"baz": baz, "bar": bar, "foo": foo} 2025-08-26T19:58:28.2924278Z >>> torch.testing.assert_close(actual, expected) 2025-08-26T19:58:28.2924556Z 2025-08-26T19:58:28.2924683Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2025-08-26T19:58:28.2925045Z >>> actual = expected.clone() 2025-08-26T19:58:28.2925436Z >>> # By default, directly related instances can be compared 2025-08-26T19:58:28.2925936Z >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected) 2025-08-26T19:58:28.2926479Z >>> # This check can be made more strict with allow_subclasses=False 2025-08-26T19:58:28.2926925Z >>> torch.testing.assert_close( 2025-08-26T19:58:28.2927352Z ... torch.nn.Parameter(actual), expected, allow_subclasses=False 2025-08-26T19:58:28.2927766Z ... ) 2025-08-26T19:58:28.2928006Z Traceback (most recent call last): 2025-08-26T19:58:28.2928320Z ... 2025-08-26T19:58:28.2928659Z TypeError: No comparison pair was able to handle inputs of type 2025-08-26T19:58:28.2929204Z and . 2025-08-26T19:58:28.2940528Z >>> # If the inputs are not directly related, they are never considered close 2025-08-26T19:58:28.2941167Z >>> torch.testing.assert_close(actual.numpy(), expected) 2025-08-26T19:58:28.2941562Z Traceback (most recent call last): 2025-08-26T19:58:28.2941851Z ... 2025-08-26T19:58:28.2942249Z TypeError: No comparison pair was able to handle inputs of type 2025-08-26T19:58:28.2942802Z and . 2025-08-26T19:58:28.2943285Z >>> # Exceptions to these rules are Python scalars. They can be checked regardless of 2025-08-26T19:58:28.2943779Z >>> # their type if check_dtype=False. 2025-08-26T19:58:28.2944189Z >>> torch.testing.assert_close(1.0, 1, check_dtype=False) 2025-08-26T19:58:28.2944489Z 2025-08-26T19:58:28.2944590Z >>> # NaN != NaN by default. 2025-08-26T19:58:28.2944925Z >>> expected = torch.tensor(float("Nan")) 2025-08-26T19:58:28.2945278Z >>> actual = expected.clone() 2025-08-26T19:58:28.2945626Z >>> torch.testing.assert_close(actual, expected) 2025-08-26T19:58:28.2946007Z Traceback (most recent call last): 2025-08-26T19:58:28.2946322Z ... 2025-08-26T19:58:28.2946572Z AssertionError: Scalars are not close! 2025-08-26T19:58:28.2946889Z 2025-08-26T19:58:28.2947148Z Expected nan but got nan. 2025-08-26T19:58:28.2947937Z Absolute difference: nan (up to 1e-05 allowed) 2025-08-26T19:58:28.2948417Z Relative difference: nan (up to 1.3e-06 allowed) 2025-08-26T19:58:28.2948871Z >>> torch.testing.assert_close(actual, expected, equal_nan=True) 2025-08-26T19:58:28.2949208Z 2025-08-26T19:58:28.2949334Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2025-08-26T19:58:28.2949699Z >>> actual = torch.tensor([1.0, 4.0, 5.0]) 2025-08-26T19:58:28.2950084Z >>> # The default error message can be overwritten. 2025-08-26T19:58:28.2950447Z >>> torch.testing.assert_close( 2025-08-26T19:58:28.2950853Z ... actual, expected, msg="Argh, the tensors are not close!" 2025-08-26T19:58:28.2951244Z ... ) 2025-08-26T19:58:28.2951495Z Traceback (most recent call last): 2025-08-26T19:58:28.2951795Z ... 2025-08-26T19:58:28.2952074Z AssertionError: Argh, the tensors are not close! 2025-08-26T19:58:28.2952564Z >>> # If msg is a callable, it can be used to augment the generated message with 2025-08-26T19:58:28.2953175Z >>> # extra information 2025-08-26T19:58:28.2953478Z >>> torch.testing.assert_close( 2025-08-26T19:58:28.2953907Z ... actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter" 2025-08-26T19:58:28.2954326Z ... ) 2025-08-26T19:58:28.2954722Z Traceback (most recent call last): 2025-08-26T19:58:28.2955047Z ... 2025-08-26T19:58:28.2955268Z AssertionError: Header 2025-08-26T19:58:28.2955554Z 2025-08-26T19:58:28.2955811Z Tensor-likes are not close! 2025-08-26T19:58:28.2956098Z 2025-08-26T19:58:28.2956360Z Mismatched elements: 2 / 3 (66.7%) 2025-08-26T19:58:28.2956815Z Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed) 2025-08-26T19:58:28.2957395Z Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed) 2025-08-26T19:58:28.2957844Z 2025-08-26T19:58:28.2958069Z Footer 2025-08-26T19:58:28.2958289Z 2025-08-26T19:58:28.2958668Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:28.2959037Z 2025-08-26T19:58:29.6396450Z msg = Cannot scrape callname=register_pytree_node in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py line=134. 2025-08-26T19:58:29.6397431Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.6397955Z Register a container-like type as pytree node. 2025-08-26T19:58:29.6398222Z 2025-08-26T19:58:29.6398329Z Args: 2025-08-26T19:58:29.6398645Z cls (type): A Python type to treat as an internal pytree node. 2025-08-26T19:58:29.6399233Z flatten_fn (callable): A function to be used during flattening, taking an instance of 2025-08-26T19:58:29.6399888Z ``cls`` and returning a pair, with (1) an iterable for the children to be flattened 2025-08-26T19:58:29.6400545Z recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be 2025-08-26T19:58:29.6401110Z passed to the ``unflatten_fn``. 2025-08-26T19:58:29.6401622Z unflatten_fn (callable): A function taking two arguments: the auxiliary data that was 2025-08-26T19:58:29.6402286Z returned by ``flatten_fn`` and stored in the treespec, and the unflattened children. 2025-08-26T19:58:29.6402812Z The function should return an instance of ``cls``. 2025-08-26T19:58:29.6403354Z serialized_type_name (str, optional): A keyword argument used to specify the fully 2025-08-26T19:58:29.6403916Z qualified name used when serializing the tree spec. 2025-08-26T19:58:29.6404509Z to_dumpable_context (callable, optional): An optional keyword argument to custom specify how 2025-08-26T19:58:29.6405224Z to convert the context of the pytree to a custom json dumpable representation. This is 2025-08-26T19:58:29.6405891Z used for json serialization, which is being used in :mod:`torch.export` right now. 2025-08-26T19:58:29.6406838Z from_dumpable_context (callable, optional): An optional keyword argument to custom specify 2025-08-26T19:58:29.6407538Z how to convert the custom json dumpable representation of the context back to the 2025-08-26T19:58:29.6408188Z original context. This is used for json deserialization, which is being used in 2025-08-26T19:58:29.6408689Z :mod:`torch.export` right now. 2025-08-26T19:58:29.6408916Z 2025-08-26T19:58:29.6409028Z Example:: 2025-08-26T19:58:29.6409174Z 2025-08-26T19:58:29.6409275Z >>> # xdoctest: +SKIP 2025-08-26T19:58:29.6409611Z >>> # Registry a Python type with lambda functions 2025-08-26T19:58:29.6409982Z >>> register_pytree_node( 2025-08-26T19:58:29.6410261Z ... set, 2025-08-26T19:58:29.6410542Z ... lambda s: (sorted(s), None, None), 2025-08-26T19:58:29.6410909Z ... lambda children, _: set(children), 2025-08-26T19:58:29.6411238Z ... ) 2025-08-26T19:58:29.6411444Z 2025-08-26T19:58:29.6411923Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.6412311Z 2025-08-26T19:58:29.7030190Z msg = Cannot scrape callname=SelectiveCheckpointContext in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1218. 2025-08-26T19:58:29.7031227Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.7031610Z 2025-08-26T19:58:29.7031846Z Context passed to policy function during selective checkpointing. 2025-08-26T19:58:29.7032173Z 2025-08-26T19:58:29.7032415Z This class is used to pass relevant metadata to the policy function during 2025-08-26T19:58:29.7033064Z selective checkpointing. The metadata includes whether the current invocation 2025-08-26T19:58:29.7033624Z of the policy function is during recomputation or not. 2025-08-26T19:58:29.7033915Z 2025-08-26T19:58:29.7034015Z Example: 2025-08-26T19:58:29.7034246Z >>> # xdoctest: +SKIP(stub) 2025-08-26T19:58:29.7034528Z >>> 2025-08-26T19:58:29.7034779Z >>> def policy_fn(ctx, op, *args, **kwargs): 2025-08-26T19:58:29.7035230Z >>> print(ctx.is_recompute) 2025-08-26T19:58:29.7035638Z >>> 2025-08-26T19:58:29.7036021Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2025-08-26T19:58:29.7036620Z >>> 2025-08-26T19:58:29.7037098Z >>> out = torch.utils.checkpoint.checkpoint( 2025-08-26T19:58:29.7037618Z >>> fn, x, y, 2025-08-26T19:58:29.7037866Z >>> use_reentrant=False, 2025-08-26T19:58:29.7038166Z >>> context_fn=context_fn, 2025-08-26T19:58:29.7038453Z >>> ) 2025-08-26T19:58:29.7038614Z 2025-08-26T19:58:29.7038880Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.7039251Z 2025-08-26T19:58:29.7039923Z msg = Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1358. 2025-08-26T19:58:29.7040950Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.7041329Z 2025-08-26T19:58:29.7041565Z Helper to avoid recomputing certain ops during activation checkpointing. 2025-08-26T19:58:29.7041932Z 2025-08-26T19:58:29.7042146Z Use this with `torch.utils.checkpoint.checkpoint` to control which 2025-08-26T19:58:29.7042639Z operations are recomputed during the backward pass. 2025-08-26T19:58:29.7042908Z 2025-08-26T19:58:29.7043004Z Args: 2025-08-26T19:58:29.7043228Z policy_fn_or_list (Callable or List): 2025-08-26T19:58:29.7043631Z - If a policy function is provided, it should accept a 2025-08-26T19:58:29.7044158Z :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and 2025-08-26T19:58:29.7044733Z kwargs to the op, and return a :class:`CheckpointPolicy` enum value 2025-08-26T19:58:29.7045302Z indicating whether the execution of the op should be recomputed or not. 2025-08-26T19:58:29.7046049Z - If a list of operations is provided, it is equivalent to a policy 2025-08-26T19:58:29.7046560Z returning `CheckpointPolicy.MUST_SAVE` for the specified 2025-08-26T19:58:29.7047089Z operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other 2025-08-26T19:58:29.7047527Z operations. 2025-08-26T19:58:29.7047881Z allow_cache_entry_mutation (bool, optional): By default, an error is 2025-08-26T19:58:29.7048442Z raised if any tensors cached by selective activation checkpoint are 2025-08-26T19:58:29.7048994Z mutated in order to ensure correctness. If set to `True`, this check 2025-08-26T19:58:29.7049432Z is disabled. 2025-08-26T19:58:29.7049662Z Returns: 2025-08-26T19:58:29.7049903Z A tuple of two context managers. 2025-08-26T19:58:29.7050127Z 2025-08-26T19:58:29.7050213Z Example: 2025-08-26T19:58:29.7050439Z >>> # xdoctest: +REQUIRES(LINUX) 2025-08-26T19:58:29.7050752Z >>> import functools 2025-08-26T19:58:29.7050993Z >>> 2025-08-26T19:58:29.7051337Z >>> x = torch.rand(10, 10, requires_grad=True) 2025-08-26T19:58:29.7051712Z >>> y = torch.rand(10, 10, requires_grad=True) 2025-08-26T19:58:29.7052048Z >>> 2025-08-26T19:58:29.7052255Z >>> ops_to_save = [ 2025-08-26T19:58:29.7052541Z >>> torch.ops.aten.mm.default, 2025-08-26T19:58:29.7052852Z >>> ] 2025-08-26T19:58:29.7053053Z >>> 2025-08-26T19:58:29.7053304Z >>> def policy_fn(ctx, op, *args, **kwargs): 2025-08-26T19:58:29.7053650Z >>> if op in ops_to_save: 2025-08-26T19:58:29.7053979Z >>> return CheckpointPolicy.MUST_SAVE 2025-08-26T19:58:29.7054297Z >>> else: 2025-08-26T19:58:29.7054902Z >>> return CheckpointPolicy.PREFER_RECOMPUTE 2025-08-26T19:58:29.7055261Z >>> 2025-08-26T19:58:29.7055658Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2025-08-26T19:58:29.7056133Z >>> 2025-08-26T19:58:29.7056356Z >>> # or equivalently 2025-08-26T19:58:29.7056807Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save) 2025-08-26T19:58:29.7057299Z >>> 2025-08-26T19:58:29.7057494Z >>> def fn(x, y): 2025-08-26T19:58:29.7057856Z >>> return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y 2025-08-26T19:58:29.7058264Z >>> 2025-08-26T19:58:29.7058521Z >>> out = torch.utils.checkpoint.checkpoint( 2025-08-26T19:58:29.7058852Z >>> fn, x, y, 2025-08-26T19:58:29.7059115Z >>> use_reentrant=False, 2025-08-26T19:58:29.7059416Z >>> context_fn=context_fn, 2025-08-26T19:58:29.7059705Z >>> ) 2025-08-26T19:58:29.7059821Z 2025-08-26T19:58:29.7060087Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.7060455Z 2025-08-26T19:58:29.7301708Z msg = Cannot scrape callname=CppExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1159. 2025-08-26T19:58:29.7302649Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.7303048Z 2025-08-26T19:58:29.7303192Z Create a :class:`setuptools.Extension` for C++. 2025-08-26T19:58:29.7303460Z 2025-08-26T19:58:29.7303703Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-08-26T19:58:29.7304293Z bare minimum (but often sufficient) arguments to build a C++ extension. 2025-08-26T19:58:29.7304636Z 2025-08-26T19:58:29.7304857Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-08-26T19:58:29.7305323Z constructor. Full list arguments can be found at 2025-08-26T19:58:29.7305925Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2025-08-26T19:58:29.7306383Z 2025-08-26T19:58:29.7306494Z .. warning:: 2025-08-26T19:58:29.7306862Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-08-26T19:58:29.7307594Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-08-26T19:58:29.7308580Z the user's responsibility in their library to not use APIs from 2025-08-26T19:58:29.7309697Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-08-26T19:58:29.7310314Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-08-26T19:58:29.7310879Z example, to give access to custom ops from python, the library should 2025-08-26T19:58:29.7311331Z register the ops through the dispatcher. 2025-08-26T19:58:29.7311581Z 2025-08-26T19:58:29.7311808Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-08-26T19:58:29.7312357Z as a compile flag when py_limited_api is specified as an option for 2025-08-26T19:58:29.7312888Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-08-26T19:58:29.7313545Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-08-26T19:58:29.7314258Z safety, and sanity in order to encourage best practices. To target a 2025-08-26T19:58:29.7315405Z different version, set min_supported_cpython to the hexcode of the 2025-08-26T19:58:29.7315887Z CPython version of choice. 2025-08-26T19:58:29.7316077Z 2025-08-26T19:58:29.7316179Z Example: 2025-08-26T19:58:29.7316392Z >>> # xdoctest: +SKIP 2025-08-26T19:58:29.7316720Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-26T19:58:29.7317104Z >>> from setuptools import setup 2025-08-26T19:58:29.7317547Z >>> from torch.utils.cpp_extension import BuildExtension, CppExtension 2025-08-26T19:58:29.7317968Z >>> setup( 2025-08-26T19:58:29.7318204Z ... name='extension', 2025-08-26T19:58:29.7318490Z ... ext_modules=[ 2025-08-26T19:58:29.7318759Z ... CppExtension( 2025-08-26T19:58:29.7319037Z ... name='extension', 2025-08-26T19:58:29.7319375Z ... sources=['extension.cpp'], 2025-08-26T19:58:29.7319730Z ... extra_compile_args=['-g'], 2025-08-26T19:58:29.7320163Z ... extra_link_args=['-Wl,--no-as-needed', '-lm']) 2025-08-26T19:58:29.7320539Z ... ], 2025-08-26T19:58:29.7320775Z ... cmdclass={ 2025-08-26T19:58:29.7321039Z ... 'build_ext': BuildExtension 2025-08-26T19:58:29.7321359Z ... }) 2025-08-26T19:58:29.7321505Z 2025-08-26T19:58:29.7321757Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.7322129Z 2025-08-26T19:58:29.7322697Z msg = Cannot scrape callname=CUDAExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1229. 2025-08-26T19:58:29.7324172Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.7324783Z 2025-08-26T19:58:29.7324949Z Create a :class:`setuptools.Extension` for CUDA/C++. 2025-08-26T19:58:29.7325238Z 2025-08-26T19:58:29.7325484Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-08-26T19:58:29.7326050Z bare minimum (but often sufficient) arguments to build a CUDA/C++ 2025-08-26T19:58:29.7326618Z extension. This includes the CUDA include path, library path and runtime 2025-08-26T19:58:29.7327066Z library. 2025-08-26T19:58:29.7327182Z 2025-08-26T19:58:29.7327387Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-08-26T19:58:29.7327861Z constructor. Full list arguments can be found at 2025-08-26T19:58:29.7328454Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2025-08-26T19:58:29.7328894Z 2025-08-26T19:58:29.7329006Z .. warning:: 2025-08-26T19:58:29.7329360Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-08-26T19:58:29.7329922Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-08-26T19:58:29.7330454Z the user's responsibility in their library to not use APIs from 2025-08-26T19:58:29.7331002Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-08-26T19:58:29.7331577Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-08-26T19:58:29.7332268Z example, to give access to custom ops from python, the library should 2025-08-26T19:58:29.7332734Z register the ops through the dispatcher. 2025-08-26T19:58:29.7332984Z 2025-08-26T19:58:29.7333240Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-08-26T19:58:29.7334088Z as a compile flag when py_limited_api is specified as an option for 2025-08-26T19:58:29.7334863Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-08-26T19:58:29.7335682Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-08-26T19:58:29.7336240Z safety, and sanity in order to encourage best practices. To target a 2025-08-26T19:58:29.7336793Z different version, set min_supported_cpython to the hexcode of the 2025-08-26T19:58:29.7337237Z CPython version of choice. 2025-08-26T19:58:29.7337425Z 2025-08-26T19:58:29.7337511Z Example: 2025-08-26T19:58:29.7337745Z >>> # xdoctest: +SKIP 2025-08-26T19:58:29.7338173Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-26T19:58:29.7338561Z >>> from setuptools import setup 2025-08-26T19:58:29.7338998Z >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension 2025-08-26T19:58:29.7339440Z >>> setup( 2025-08-26T19:58:29.7339686Z ... name='cuda_extension', 2025-08-26T19:58:29.7339989Z ... ext_modules=[ 2025-08-26T19:58:29.7340251Z ... CUDAExtension( 2025-08-26T19:58:29.7340554Z ... name='cuda_extension', 2025-08-26T19:58:29.7340949Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-08-26T19:58:29.7341367Z ... extra_compile_args={'cxx': ['-g'], 2025-08-26T19:58:29.7341721Z ... 'nvcc': ['-O2']}, 2025-08-26T19:58:29.7342122Z ... extra_link_args=['-Wl,--no-as-needed', '-lcuda']) 2025-08-26T19:58:29.7342491Z ... ], 2025-08-26T19:58:29.7342722Z ... cmdclass={ 2025-08-26T19:58:29.7342985Z ... 'build_ext': BuildExtension 2025-08-26T19:58:29.7343303Z ... }) 2025-08-26T19:58:29.7343442Z 2025-08-26T19:58:29.7343544Z Compute capabilities: 2025-08-26T19:58:29.7343703Z 2025-08-26T19:58:29.7344014Z By default the extension will be compiled to run on all archs of the cards visible during the 2025-08-26T19:58:29.7344733Z building process of the extension, plus PTX. If down the road a new card is installed the 2025-08-26T19:58:29.7345432Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's 2025-08-26T19:58:29.7346159Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch 2025-08-26T19:58:29.7346878Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does 2025-08-26T19:58:29.7347411Z support (see below for details on PTX). 2025-08-26T19:58:29.7347638Z 2025-08-26T19:58:29.7347961Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which 2025-08-26T19:58:29.7348513Z CCs you want the extension to support: 2025-08-26T19:58:29.7348746Z 2025-08-26T19:58:29.7348932Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py`` 2025-08-26T19:58:29.7349480Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py`` 2025-08-26T19:58:29.7349835Z 2025-08-26T19:58:29.7350173Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified 2025-08-26T19:58:29.7350938Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >= 2025-08-26T19:58:29.7351673Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with 2025-08-26T19:58:29.7352403Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to 2025-08-26T19:58:29.7353230Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on 2025-08-26T19:58:29.7354006Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better 2025-08-26T19:58:29.7354931Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6, 2025-08-26T19:58:29.7355686Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but 2025-08-26T19:58:29.7356229Z "8.0 8.6" would be better. 2025-08-26T19:58:29.7356413Z 2025-08-26T19:58:29.7356711Z Note that while it's possible to include all supported archs, the more archs get included the 2025-08-26T19:58:29.7357427Z slower the building process will be, as it will build a separate kernel image for each arch. 2025-08-26T19:58:29.7357835Z 2025-08-26T19:58:29.7358179Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows. 2025-08-26T19:58:29.7358838Z To workaround the issue, move python binding logic to pure C++ file. 2025-08-26T19:58:29.7359178Z 2025-08-26T19:58:29.7359270Z Example use: 2025-08-26T19:58:29.7359507Z #include 2025-08-26T19:58:29.7359965Z at::Tensor SigmoidAlphaBlendForwardCuda(....) 2025-08-26T19:58:29.7360226Z 2025-08-26T19:58:29.7360313Z Instead of: 2025-08-26T19:58:29.7360553Z #include 2025-08-26T19:58:29.7360915Z torch::Tensor SigmoidAlphaBlendForwardCuda(...) 2025-08-26T19:58:29.7361181Z 2025-08-26T19:58:29.7361473Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460 2025-08-26T19:58:29.7362389Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48 2025-08-26T19:58:29.7363010Z 2025-08-26T19:58:29.7363121Z Relocatable device code linking: 2025-08-26T19:58:29.7363339Z 2025-08-26T19:58:29.7363619Z If you want to reference device symbols across compilation units (across object files), 2025-08-26T19:58:29.7364288Z the object files need to be built with `relocatable device code` (-rdc=true or -dc). 2025-08-26T19:58:29.7365045Z An exception to this rule is "dynamic parallelism" (nested kernel launches) which is not used a lot anymore. 2025-08-26T19:58:29.7365861Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it. 2025-08-26T19:58:29.7366626Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step 2025-08-26T19:58:29.7367256Z helps reduce the protentional perf degradation of `-rdc`. 2025-08-26T19:58:29.7367720Z Note that it needs to be used at both steps to be useful. 2025-08-26T19:58:29.7367996Z 2025-08-26T19:58:29.7368377Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step. 2025-08-26T19:58:29.7369044Z There is also a case where `-dlink` is used without `-rdc`: 2025-08-26T19:58:29.7369583Z when an extension is linked against a static lib containing rdc-compiled objects 2025-08-26T19:58:29.7370182Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem). 2025-08-26T19:58:29.7370523Z 2025-08-26T19:58:29.7370729Z Note: Ninja is required to build a CUDA Extension with RDC linking. 2025-08-26T19:58:29.7371048Z 2025-08-26T19:58:29.7371152Z Example: 2025-08-26T19:58:29.7371362Z >>> # xdoctest: +SKIP 2025-08-26T19:58:29.7371693Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-26T19:58:29.7372063Z >>> CUDAExtension( 2025-08-26T19:58:29.7372337Z ... name='cuda_extension', 2025-08-26T19:58:29.7372701Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-08-26T19:58:29.7373076Z ... dlink=True, 2025-08-26T19:58:29.7373367Z ... dlink_libraries=["dlink_lib"], 2025-08-26T19:58:29.7373723Z ... extra_compile_args={'cxx': ['-g'], 2025-08-26T19:58:29.7374090Z ... 'nvcc': ['-O2', '-rdc=true']}) 2025-08-26T19:58:29.7374327Z 2025-08-26T19:58:29.7374578Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.7375016Z 2025-08-26T19:58:29.7375569Z msg = Cannot scrape callname=SyclExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1420. 2025-08-26T19:58:29.7376544Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.7376922Z 2025-08-26T19:58:29.7377095Z Creates a :class:`setuptools.Extension` for SYCL/C++. 2025-08-26T19:58:29.7377364Z 2025-08-26T19:58:29.7377621Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-08-26T19:58:29.7378173Z bare minimum (but often sufficient) arguments to build a SYCL/C++ 2025-08-26T19:58:29.7378588Z extension. 2025-08-26T19:58:29.7378725Z 2025-08-26T19:58:29.7378930Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-08-26T19:58:29.7379350Z constructor. 2025-08-26T19:58:29.7379480Z 2025-08-26T19:58:29.7379568Z .. warning:: 2025-08-26T19:58:29.7379930Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-08-26T19:58:29.7380559Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-08-26T19:58:29.7381097Z the user's responsibility in their library to not use APIs from 2025-08-26T19:58:29.7381646Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-08-26T19:58:29.7382211Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-08-26T19:58:29.7382766Z example, to give access to custom ops from python, the library should 2025-08-26T19:58:29.7383231Z register the ops through the dispatcher. 2025-08-26T19:58:29.7383463Z 2025-08-26T19:58:29.7383700Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-08-26T19:58:29.7384238Z as a compile flag when py_limited_api is specified as an option for 2025-08-26T19:58:29.7384772Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-08-26T19:58:29.7385322Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-08-26T19:58:29.7385884Z safety, and sanity in order to encourage best practices. To target a 2025-08-26T19:58:29.7386444Z different version, set min_supported_cpython to the hexcode of the 2025-08-26T19:58:29.7386876Z CPython version of choice. 2025-08-26T19:58:29.7387076Z 2025-08-26T19:58:29.7387162Z Example: 2025-08-26T19:58:29.7387390Z >>> # xdoctest: +SKIP 2025-08-26T19:58:29.7387711Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-26T19:58:29.7388188Z >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension 2025-08-26T19:58:29.7388623Z >>> setup( 2025-08-26T19:58:29.7388868Z ... name='xpu_extension', 2025-08-26T19:58:29.7389165Z ... ext_modules=[ 2025-08-26T19:58:29.7389422Z ... SyclExtension( 2025-08-26T19:58:29.7389716Z ... name='xpu_extension', 2025-08-26T19:58:29.7390114Z ... sources=['extension.cpp', 'extension_kernel.cpp'], 2025-08-26T19:58:29.7390588Z ... extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']}) 2025-08-26T19:58:29.7390979Z ... ], 2025-08-26T19:58:29.7391208Z ... cmdclass={ 2025-08-26T19:58:29.7391484Z ... 'build_ext': BuildExtension 2025-08-26T19:58:29.7391798Z ... }) 2025-08-26T19:58:29.7391924Z 2025-08-26T19:58:29.7392235Z By default the extension will be compiled to run on all archs of the cards visible during the 2025-08-26T19:58:29.7392916Z building process of the extension. If down the road a new card is installed the 2025-08-26T19:58:29.7393642Z extension may need to be recompiled. You can override the default behavior using 2025-08-26T19:58:29.7394336Z `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension 2025-08-26T19:58:29.7394870Z to support: 2025-08-26T19:58:29.7394998Z 2025-08-26T19:58:29.7395222Z ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py`` 2025-08-26T19:58:29.7395537Z 2025-08-26T19:58:29.7395839Z Note that while it's possible to include all supported archs, the more archs get included the 2025-08-26T19:58:29.7396646Z slower the building process will be, as it will build a separate kernel image for each arch. 2025-08-26T19:58:29.7397077Z 2025-08-26T19:58:29.7397219Z Note: Ninja is required to build SyclExtension. 2025-08-26T19:58:29.7397469Z 2025-08-26T19:58:29.7397737Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.7398106Z 2025-08-26T19:58:29.7398675Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1597. 2025-08-26T19:58:29.7399562Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.7399943Z 2025-08-26T19:58:29.7400105Z Load a PyTorch C++ extension just-in-time (JIT). 2025-08-26T19:58:29.7400359Z 2025-08-26T19:58:29.7400582Z To load an extension, a Ninja build file is emitted, which is used to 2025-08-26T19:58:29.7401107Z compile the given sources into a dynamic library. This library is 2025-08-26T19:58:29.7401746Z subsequently loaded into the current Python process as a module and 2025-08-26T19:58:29.7402223Z returned from this function, ready for use. 2025-08-26T19:58:29.7402458Z 2025-08-26T19:58:29.7402682Z By default, the directory to which the build file is emitted and the 2025-08-26T19:58:29.7403235Z resulting library compiled to is ``/torch_extensions/``, where 2025-08-26T19:58:29.7403811Z ```` is the temporary folder on the current platform and ```` 2025-08-26T19:58:29.7404363Z the name of the extension. This location can be overridden in two ways. 2025-08-26T19:58:29.7404917Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it 2025-08-26T19:58:29.7405471Z replaces ``/torch_extensions`` and all extensions will be compiled 2025-08-26T19:58:29.7406015Z into subfolders of this directory. Second, if the ``build_directory`` 2025-08-26T19:58:29.7406587Z argument to this function is supplied, it overrides the entire path, i.e. 2025-08-26T19:58:29.7407109Z the library will be compiled into that folder directly. 2025-08-26T19:58:29.7407382Z 2025-08-26T19:58:29.7407605Z To compile the sources, the default system compiler (``c++``) is used, 2025-08-26T19:58:29.7408177Z which can be overridden by setting the ``CXX`` environment variable. To pass 2025-08-26T19:58:29.7408755Z additional arguments to the compilation process, ``extra_cflags`` or 2025-08-26T19:58:29.7409324Z ``extra_ldflags`` can be provided. For example, to compile your extension 2025-08-26T19:58:29.7409880Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use 2025-08-26T19:58:29.7410365Z ``extra_cflags`` to pass further include directories. 2025-08-26T19:58:29.7410629Z 2025-08-26T19:58:29.7410864Z CUDA support with mixed compilation is provided. Simply pass CUDA source 2025-08-26T19:58:29.7411412Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be 2025-08-26T19:58:29.7411966Z detected and compiled with nvcc rather than the C++ compiler. This includes 2025-08-26T19:58:29.7412558Z passing the CUDA lib64 directory as a library directory, and linking 2025-08-26T19:58:29.7413052Z ``cudart``. You can pass additional flags to nvcc via 2025-08-26T19:58:29.7413512Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various 2025-08-26T19:58:29.7414077Z heuristics for finding the CUDA install directory are used, which usually 2025-08-26T19:58:29.7414651Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the 2025-08-26T19:58:29.7415080Z safest option. 2025-08-26T19:58:29.7415215Z 2025-08-26T19:58:29.7415454Z SYCL support with mixed compilation is provided. Simply pass SYCL source 2025-08-26T19:58:29.7416012Z files (``.sycl``) along with other sources. Such files will be detected 2025-08-26T19:58:29.7416552Z and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather 2025-08-26T19:58:29.7417101Z than the C++ compiler. You can pass additional flags to SYCL compiler 2025-08-26T19:58:29.7417656Z via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++. 2025-08-26T19:58:29.7418201Z SYCL compiler is expected to be found via system PATH environment 2025-08-26T19:58:29.7418619Z variable. 2025-08-26T19:58:29.7418738Z 2025-08-26T19:58:29.7418837Z Args: 2025-08-26T19:58:29.7419175Z name: The name of the extension to build. This MUST be the same as the 2025-08-26T19:58:29.7419607Z name of the pybind11 module! 2025-08-26T19:58:29.7420025Z sources: A list of relative or absolute paths to C++ source files. 2025-08-26T19:58:29.7420575Z extra_cflags: optional list of compiler flags to forward to the build. 2025-08-26T19:58:29.7421140Z extra_cuda_cflags: optional list of compiler flags to forward to nvcc 2025-08-26T19:58:29.7421576Z when building CUDA sources. 2025-08-26T19:58:29.7422005Z extra_sycl_cflags: optional list of compiler flags to forward to SYCL 2025-08-26T19:58:29.7422470Z compiler when building SYCL sources. 2025-08-26T19:58:29.7422920Z extra_ldflags: optional list of linker flags to forward to the build. 2025-08-26T19:58:29.7423546Z extra_include_paths: optional list of include directories to forward 2025-08-26T19:58:29.7423969Z to the build. 2025-08-26T19:58:29.7424309Z build_directory: optional path to use as build workspace. 2025-08-26T19:58:29.7424789Z verbose: If ``True``, turns on verbose logging of load steps. 2025-08-26T19:58:29.7425311Z with_cuda: Determines whether CUDA headers and libraries are added to 2025-08-26T19:58:29.7425799Z the build. If set to ``None`` (default), this value is 2025-08-26T19:58:29.7426289Z automatically determined based on the existence of ``.cu`` or 2025-08-26T19:58:29.7426785Z ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers 2025-08-26T19:58:29.7427191Z and libraries to be included. 2025-08-26T19:58:29.7427614Z with_sycl: Determines whether SYCL headers and libraries are added to 2025-08-26T19:58:29.7428122Z the build. If set to ``None`` (default), this value is 2025-08-26T19:58:29.7428617Z automatically determined based on the existence of ``.sycl`` in 2025-08-26T19:58:29.7429112Z ``sources``. Set it to `True`` to force SYCL headers and 2025-08-26T19:58:29.7429500Z libraries to be included. 2025-08-26T19:58:29.7429895Z is_python_module: If ``True`` (default), imports the produced shared 2025-08-26T19:58:29.7430413Z library as a Python module. If ``False``, behavior depends on 2025-08-26T19:58:29.7430823Z ``is_standalone``. 2025-08-26T19:58:29.7431207Z is_standalone: If ``False`` (default) loads the constructed extension 2025-08-26T19:58:29.7431719Z into the process as a plain dynamic library. If ``True``, build a 2025-08-26T19:58:29.7432143Z standalone executable. 2025-08-26T19:58:29.7432342Z 2025-08-26T19:58:29.7432430Z Returns: 2025-08-26T19:58:29.7432667Z If ``is_python_module`` is ``True``: 2025-08-26T19:58:29.7433119Z Returns the loaded PyTorch extension as a Python module. 2025-08-26T19:58:29.7433431Z 2025-08-26T19:58:29.7433639Z If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``: 2025-08-26T19:58:29.7434183Z Returns nothing. (The shared library is loaded into the process as 2025-08-26T19:58:29.7434617Z a side effect.) 2025-08-26T19:58:29.7434777Z 2025-08-26T19:58:29.7434901Z If ``is_standalone`` is ``True``. 2025-08-26T19:58:29.7435305Z Return the path to the executable. (On Windows, TORCH_LIB_PATH is 2025-08-26T19:58:29.7435807Z added to the PATH environment variable as a side effect.) 2025-08-26T19:58:29.7436107Z 2025-08-26T19:58:29.7436191Z Example: 2025-08-26T19:58:29.7436417Z >>> # xdoctest: +SKIP 2025-08-26T19:58:29.7436725Z >>> from torch.utils.cpp_extension import load 2025-08-26T19:58:29.7437074Z >>> module = load( 2025-08-26T19:58:29.7437337Z ... name='extension', 2025-08-26T19:58:29.7437684Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-08-26T19:58:29.7438105Z ... extra_cflags=['-O2'], 2025-08-26T19:58:29.7438447Z ... verbose=True) 2025-08-26T19:58:29.7438629Z 2025-08-26T19:58:29.7438881Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.7439251Z 2025-08-26T19:58:29.7439799Z msg = Cannot scrape callname=load_inline in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1882. 2025-08-26T19:58:29.7440713Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.7441094Z 2025-08-26T19:58:29.7441308Z Load a PyTorch C++ extension just-in-time (JIT) from string sources. 2025-08-26T19:58:29.7441649Z 2025-08-26T19:58:29.7441886Z This function behaves exactly like :func:`load`, but takes its sources as 2025-08-26T19:58:29.7442482Z strings rather than filenames. These strings are stored to files in the 2025-08-26T19:58:29.7443054Z build directory, after which the behavior of :func:`load_inline` is 2025-08-26T19:58:29.7443499Z identical to :func:`load`. 2025-08-26T19:58:29.7443681Z 2025-08-26T19:58:29.7443829Z See `the 2025-08-26T19:58:29.7444285Z tests `_ 2025-08-26T19:58:29.7444865Z for good examples of using this function. 2025-08-26T19:58:29.7445097Z 2025-08-26T19:58:29.7445347Z Sources may omit two required parts of a typical non-inline C++ extension: 2025-08-26T19:58:29.7445937Z the necessary header includes, as well as the (pybind11) binding code. More 2025-08-26T19:58:29.7446555Z precisely, strings passed to ``cpp_sources`` are first concatenated into a 2025-08-26T19:58:29.7447114Z single ``.cpp`` file. This file is then prepended with ``#include 2025-08-26T19:58:29.7447523Z `` 2025-08-26T19:58:29.7447684Z 2025-08-26T19:58:29.7447928Z Furthermore, if the ``functions`` argument is supplied, bindings will be 2025-08-26T19:58:29.7448502Z automatically generated for each function specified. ``functions`` can 2025-08-26T19:58:29.7449093Z either be a list of function names, or a dictionary mapping from function 2025-08-26T19:58:29.7449669Z names to docstrings. If a list is given, the name of each function is used 2025-08-26T19:58:29.7450109Z as its docstring. 2025-08-26T19:58:29.7450255Z 2025-08-26T19:58:29.7450508Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu`` 2025-08-26T19:58:29.7451019Z file and prepended with ``torch/types.h``, ``cuda.h`` and 2025-08-26T19:58:29.7451522Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled 2025-08-26T19:58:29.7452077Z separately, but ultimately linked into a single library. Note that no 2025-08-26T19:58:29.7452655Z bindings are generated for functions in ``cuda_sources`` per se. To bind 2025-08-26T19:58:29.7453213Z to a CUDA kernel, you must create a C++ function that calls it, and either 2025-08-26T19:58:29.7453765Z declare or define this C++ function in one of the ``cpp_sources`` (and 2025-08-26T19:58:29.7454216Z include its name in ``functions``). 2025-08-26T19:58:29.7454424Z 2025-08-26T19:58:29.7454882Z The sources in ``sycl_sources`` are concatenated into a separate ``.sycl`` 2025-08-26T19:58:29.7455478Z file and prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes. 2025-08-26T19:58:29.7456004Z The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately 2025-08-26T19:58:29.7456542Z linked into a single library. Note that no bindings are generated for 2025-08-26T19:58:29.7457101Z functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must 2025-08-26T19:58:29.7457651Z create a C++ function that calls it, and either declare or define this 2025-08-26T19:58:29.7458162Z C++ function in one of the ``cpp_sources`` (and include its name 2025-08-26T19:58:29.7458571Z in ``functions``). 2025-08-26T19:58:29.7458729Z 2025-08-26T19:58:29.7458733Z 2025-08-26T19:58:29.7458737Z 2025-08-26T19:58:29.7458920Z See :func:`load` for a description of arguments omitted below. 2025-08-26T19:58:29.7459213Z 2025-08-26T19:58:29.7459393Z Args: 2025-08-26T19:58:29.7459745Z cpp_sources: A string, or list of strings, containing C++ source code. 2025-08-26T19:58:29.7460357Z cuda_sources: A string, or list of strings, containing CUDA source code. 2025-08-26T19:58:29.7460929Z sycl_sources: A string, or list of strings, containing SYCL source code. 2025-08-26T19:58:29.7461487Z functions: A list of function names for which to generate function 2025-08-26T19:58:29.7462032Z bindings. If a dictionary is given, it should map function names to 2025-08-26T19:58:29.7462546Z docstrings (which are otherwise just the function names). 2025-08-26T19:58:29.7463082Z with_cuda: Determines whether CUDA headers and libraries are added to 2025-08-26T19:58:29.7463596Z the build. If set to ``None`` (default), this value is 2025-08-26T19:58:29.7464085Z automatically determined based on whether ``cuda_sources`` is 2025-08-26T19:58:29.7464567Z provided. Set it to ``True`` to force CUDA headers 2025-08-26T19:58:29.7464940Z and libraries to be included. 2025-08-26T19:58:29.7465458Z with_sycl: Determines whether SYCL headers and libraries are added to 2025-08-26T19:58:29.7465965Z the build. If set to ``None`` (default), this value is 2025-08-26T19:58:29.7466450Z automatically determined based on whether ``sycl_sources`` is 2025-08-26T19:58:29.7466918Z provided. Set it to ``True`` to force SYCL headers 2025-08-26T19:58:29.7467304Z and libraries to be included. 2025-08-26T19:58:29.7467734Z with_pytorch_error_handling: Determines whether pytorch error and 2025-08-26T19:58:29.7468270Z warning macros are handled by pytorch instead of pybind. To do 2025-08-26T19:58:29.7468794Z this, each function ``foo`` is called via an intermediary ``_safe_foo`` 2025-08-26T19:58:29.7469342Z function. This redirection might cause issues in obscure cases 2025-08-26T19:58:29.7469850Z of cpp. This flag should be set to ``False`` when this redirect 2025-08-26T19:58:29.7470257Z causes issues. 2025-08-26T19:58:29.7470678Z no_implicit_headers: If ``True``, skips automatically adding headers, most notably 2025-08-26T19:58:29.7471268Z ``#include `` and ``#include `` lines. 2025-08-26T19:58:29.7471774Z Use this option to improve cold start times when you 2025-08-26T19:58:29.7472313Z already include the necessary headers in your source code. Default: ``False``. 2025-08-26T19:58:29.7472690Z 2025-08-26T19:58:29.7472788Z Example: 2025-08-26T19:58:29.7473137Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-26T19:58:29.7473565Z >>> from torch.utils.cpp_extension import load_inline 2025-08-26T19:58:29.7473936Z >>> source = """ 2025-08-26T19:58:29.7474248Z at::Tensor sin_add(at::Tensor x, at::Tensor y) { 2025-08-26T19:58:29.7474605Z return x.sin() + y.sin(); 2025-08-26T19:58:29.7474866Z } 2025-08-26T19:58:29.7475074Z """ 2025-08-26T19:58:29.7475335Z >>> module = load_inline(name='inline_extension', 2025-08-26T19:58:29.7475717Z ... cpp_sources=[source], 2025-08-26T19:58:29.7476056Z ... functions=['sin_add']) 2025-08-26T19:58:29.7476298Z 2025-08-26T19:58:29.7476387Z .. note:: 2025-08-26T19:58:29.7476752Z Since load_inline will just-in-time compile the source code, please ensure 2025-08-26T19:58:29.7477348Z that you have the right toolchains installed in the runtime. For example, 2025-08-26T19:58:29.7477913Z when loading C++, make sure a C++ compiler is available. If you're loading 2025-08-26T19:58:29.7478510Z a CUDA extension, you will need to additionally install the corresponding CUDA 2025-08-26T19:58:29.7479134Z toolkit (nvcc and any other dependencies your code has). Compiling toolchains 2025-08-26T19:58:29.7479752Z are not included when you install torch and must be additionally installed. 2025-08-26T19:58:29.7480109Z 2025-08-26T19:58:29.7480379Z During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build 2025-08-26T19:58:29.7481048Z the extension. This may use up too many resources on some systems. One 2025-08-26T19:58:29.7481616Z can control the number of workers by setting the `MAX_JOBS` environment 2025-08-26T19:58:29.7482079Z variable to a non-negative number. 2025-08-26T19:58:29.7482296Z 2025-08-26T19:58:29.7482563Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.7482932Z 2025-08-26T19:58:29.7569310Z msg = Cannot scrape callname=ThroughputBenchmark in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/throughput_benchmark.py line=61. 2025-08-26T19:58:29.7570306Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.7570705Z 2025-08-26T19:58:29.7571001Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark. 2025-08-26T19:58:29.7571425Z 2025-08-26T19:58:29.7571723Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible 2025-08-26T19:58:29.7572540Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference 2025-08-26T19:58:29.7573166Z server like load. It can emulate multiple calling threads to a single module 2025-08-26T19:58:29.7573771Z provided. In the future we plan to enhance this component to support inter and 2025-08-26T19:58:29.7574377Z intra-op parallelism as well as multiple models running in a single process. 2025-08-26T19:58:29.7574758Z 2025-08-26T19:58:29.7575017Z Please note that even though nn.Module is supported, it might incur an overhead 2025-08-26T19:58:29.7575654Z from the need to hold GIL every time we execute Python code or pass around 2025-08-26T19:58:29.7576241Z inputs as Python objects. As soon as you have a ScriptModule version of your 2025-08-26T19:58:29.7576823Z model for inference deployment it is better to switch to using it in this 2025-08-26T19:58:29.7577274Z benchmark. 2025-08-26T19:58:29.7577409Z 2025-08-26T19:58:29.7577500Z Example:: 2025-08-26T19:58:29.7577618Z 2025-08-26T19:58:29.7577753Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:29.7578126Z >>> from torch.utils import ThroughputBenchmark 2025-08-26T19:58:29.7578498Z >>> bench = ThroughputBenchmark(my_module) 2025-08-26T19:58:29.7578898Z >>> # Pre-populate benchmark's data set with the inputs 2025-08-26T19:58:29.7579281Z >>> for input in inputs: 2025-08-26T19:58:29.7579687Z ... # Both args and kwargs work, same as any PyTorch Module / ScriptModule 2025-08-26T19:58:29.7580150Z ... bench.add_input(input[0], x2=input[1]) 2025-08-26T19:58:29.7580595Z >>> # Inputs supplied above are randomly used during the execution 2025-08-26T19:58:29.7581030Z >>> stats = bench.benchmark( 2025-08-26T19:58:29.7581334Z ... num_calling_threads=4, 2025-08-26T19:58:29.7581632Z ... num_warmup_iters = 100, 2025-08-26T19:58:29.7581937Z ... num_iters = 1000, 2025-08-26T19:58:29.7582211Z ... ) 2025-08-26T19:58:29.7582526Z >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms)) 2025-08-26T19:58:29.7583012Z >>> print("Number of iterations: {}".format(stats.num_iters)) 2025-08-26T19:58:29.7583304Z 2025-08-26T19:58:29.7583558Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.7583941Z 2025-08-26T19:58:29.8701595Z msg = Cannot scrape callname=DistributedSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/distributed.py line=18. 2025-08-26T19:58:29.8702607Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.8703197Z Sampler that restricts data loading to a subset of the dataset. 2025-08-26T19:58:29.8703512Z 2025-08-26T19:58:29.8703666Z It is especially useful in conjunction with 2025-08-26T19:58:29.8704170Z :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each 2025-08-26T19:58:29.8704792Z process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a 2025-08-26T19:58:29.8705613Z :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the 2025-08-26T19:58:29.8706158Z original dataset that is exclusive to it. 2025-08-26T19:58:29.8706396Z 2025-08-26T19:58:29.8706510Z .. note:: 2025-08-26T19:58:29.8706874Z Dataset is assumed to be of constant size and that any instance of it always 2025-08-26T19:58:29.8707381Z returns the same elements in the same order. 2025-08-26T19:58:29.8707644Z 2025-08-26T19:58:29.8707729Z Args: 2025-08-26T19:58:29.8707979Z dataset: Dataset used for sampling. 2025-08-26T19:58:29.8708437Z num_replicas (int, optional): Number of processes participating in 2025-08-26T19:58:29.8709015Z distributed training. By default, :attr:`world_size` is retrieved from the 2025-08-26T19:58:29.8709506Z current distributed group. 2025-08-26T19:58:29.8709964Z rank (int, optional): Rank of the current process within :attr:`num_replicas`. 2025-08-26T19:58:29.8710632Z By default, :attr:`rank` is retrieved from the current distributed 2025-08-26T19:58:29.8711035Z group. 2025-08-26T19:58:29.8711405Z shuffle (bool, optional): If ``True`` (default), sampler will shuffle the 2025-08-26T19:58:29.8711848Z indices. 2025-08-26T19:58:29.8712199Z seed (int, optional): random seed used to shuffle the sampler if 2025-08-26T19:58:29.8712700Z :attr:`shuffle=True`. This number should be identical across all 2025-08-26T19:58:29.8713252Z processes in the distributed group. Default: ``0``. 2025-08-26T19:58:29.8713757Z drop_last (bool, optional): if ``True``, then the sampler will drop the 2025-08-26T19:58:29.8714301Z tail of the data to make it evenly divisible across the number of 2025-08-26T19:58:29.8714823Z replicas. If ``False``, the sampler will add extra indices to make 2025-08-26T19:58:29.8715342Z the data evenly divisible across the replicas. Default: ``False``. 2025-08-26T19:58:29.8715686Z 2025-08-26T19:58:29.8715786Z .. warning:: 2025-08-26T19:58:29.8716122Z In distributed mode, calling the :meth:`set_epoch` method at 2025-08-26T19:58:29.8716680Z the beginning of each epoch **before** creating the :class:`DataLoader` iterator 2025-08-26T19:58:29.8717302Z is necessary to make shuffling work properly across multiple epochs. Otherwise, 2025-08-26T19:58:29.8717810Z the same ordering will be always used. 2025-08-26T19:58:29.8718053Z 2025-08-26T19:58:29.8718143Z Example:: 2025-08-26T19:58:29.8718271Z 2025-08-26T19:58:29.8718381Z >>> # xdoctest: +SKIP 2025-08-26T19:58:29.8718791Z >>> sampler = DistributedSampler(dataset) if is_distributed else None 2025-08-26T19:58:29.8719296Z >>> loader = DataLoader(dataset, shuffle=(sampler is None), 2025-08-26T19:58:29.8719705Z ... sampler=sampler) 2025-08-26T19:58:29.8720077Z >>> for epoch in range(start_epoch, n_epochs): 2025-08-26T19:58:29.8720437Z ... if is_distributed: 2025-08-26T19:58:29.8720749Z ... sampler.set_epoch(epoch) 2025-08-26T19:58:29.8721079Z ... train(loader) 2025-08-26T19:58:29.8721351Z 2025-08-26T19:58:29.8721728Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.8722098Z 2025-08-26T19:58:29.8773086Z msg = Cannot scrape callname=WeightedRandomSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py line=227. 2025-08-26T19:58:29.8774064Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.8774707Z Samples elements from ``[0,..,len(weights)-1]`` with given probabilities (weights). 2025-08-26T19:58:29.8775094Z 2025-08-26T19:58:29.8775216Z Args: 2025-08-26T19:58:29.8775728Z weights (sequence) : a sequence of weights, not necessary summing up to one 2025-08-26T19:58:29.8776400Z num_samples (int): number of samples to draw 2025-08-26T19:58:29.8776974Z replacement (bool): if ``True``, samples are drawn with replacement. 2025-08-26T19:58:29.8777571Z If not, they are drawn without replacement, which means that when a 2025-08-26T19:58:29.8778124Z sample index is drawn for a row, it cannot be drawn again for that row. 2025-08-26T19:58:29.8778633Z generator (Generator): Generator used in sampling. 2025-08-26T19:58:29.8778900Z 2025-08-26T19:58:29.8779006Z Example: 2025-08-26T19:58:29.8779280Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-26T19:58:29.8779632Z >>> list( 2025-08-26T19:58:29.8779893Z ... WeightedRandomSampler( 2025-08-26T19:58:29.8780266Z ... [0.1, 0.9, 0.4, 0.7, 3.0, 0.6], 5, replacement=True 2025-08-26T19:58:29.8780606Z ... ) 2025-08-26T19:58:29.8780836Z ... ) 2025-08-26T19:58:29.8781060Z [4, 4, 1, 4, 5] 2025-08-26T19:58:29.8781313Z >>> list( 2025-08-26T19:58:29.8781559Z ... WeightedRandomSampler( 2025-08-26T19:58:29.8782006Z ... [0.9, 0.4, 0.05, 0.2, 0.3, 0.1], 5, replacement=False 2025-08-26T19:58:29.8782359Z ... ) 2025-08-26T19:58:29.8782590Z ... ) 2025-08-26T19:58:29.8782801Z [0, 1, 4, 3, 2] 2025-08-26T19:58:29.8783047Z 2025-08-26T19:58:29.8783422Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.8783792Z 2025-08-26T19:58:29.8784354Z msg = Cannot scrape callname=BatchSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py line=300. 2025-08-26T19:58:29.8785255Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.8785819Z Wraps another sampler to yield a mini-batch of indices. 2025-08-26T19:58:29.8786113Z 2025-08-26T19:58:29.8786198Z Args: 2025-08-26T19:58:29.8786555Z sampler (Sampler or Iterable): Base sampler. Can be any iterable object 2025-08-26T19:58:29.8787033Z batch_size (int): Size of mini-batch. 2025-08-26T19:58:29.8787459Z drop_last (bool): If ``True``, the sampler will drop the last batch if 2025-08-26T19:58:29.8787918Z its size would be less than ``batch_size`` 2025-08-26T19:58:29.8788176Z 2025-08-26T19:58:29.8788263Z Example: 2025-08-26T19:58:29.8788488Z >>> list( 2025-08-26T19:58:29.8788716Z ... BatchSampler( 2025-08-26T19:58:29.8789108Z ... SequentialSampler(range(10)), batch_size=3, drop_last=False 2025-08-26T19:58:29.8789525Z ... ) 2025-08-26T19:58:29.8789750Z ... ) 2025-08-26T19:58:29.8789969Z [[0, 1, 2], [3, 4, 5], [6, 7, 8], [9]] 2025-08-26T19:58:29.8790274Z >>> list( 2025-08-26T19:58:29.8790680Z ... BatchSampler(SequentialSampler(range(10)), batch_size=3, drop_last=True) 2025-08-26T19:58:29.8791151Z ... ) 2025-08-26T19:58:29.8791369Z [[0, 1, 2], [3, 4, 5], [6, 7, 8]] 2025-08-26T19:58:29.8791672Z 2025-08-26T19:58:29.8792050Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.8792420Z 2025-08-26T19:58:29.9014374Z msg = Cannot scrape callname=IterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py line=56. 2025-08-26T19:58:29.9015361Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.9015740Z 2025-08-26T19:58:29.9015847Z Iterable-style DataPipe. 2025-08-26T19:58:29.9016039Z 2025-08-26T19:58:29.9016296Z All DataPipes that represent an iterable of data samples should subclass this. 2025-08-26T19:58:29.9016936Z This style of DataPipes is particularly useful when data come from a stream, or 2025-08-26T19:58:29.9017752Z when the number of samples is too large to fit them all in memory. ``IterDataPipe`` is lazily initialized and its 2025-08-26T19:58:29.9018552Z elements are computed only when ``next()`` is called on the iterator of an ``IterDataPipe``. 2025-08-26T19:58:29.9019083Z 2025-08-26T19:58:29.9019336Z All subclasses should overwrite :meth:`__iter__`, which would return an 2025-08-26T19:58:29.9020094Z iterator of samples in this DataPipe. Calling ``__iter__`` of an ``IterDataPipe`` automatically invokes its 2025-08-26T19:58:29.9020921Z method ``reset()``, which by default performs no operation. When writing a custom ``IterDataPipe``, users should 2025-08-26T19:58:29.9021693Z override ``reset()`` if necessary. The common usages include resetting buffers, pointers, 2025-08-26T19:58:29.9022310Z and various state variables within the custom ``IterDataPipe``. 2025-08-26T19:58:29.9022626Z 2025-08-26T19:58:29.9022728Z Note: 2025-08-26T19:58:29.9023046Z Only `one` iterator can be valid for each ``IterDataPipe`` at a time, 2025-08-26T19:58:29.9023735Z and the creation a second iterator will invalidate the first one. This constraint is necessary because 2025-08-26T19:58:29.9024586Z some ``IterDataPipe`` have internal buffers, whose states can become invalid if there are multiple iterators. 2025-08-26T19:58:29.9025447Z The code example below presents details on how this constraint looks in practice. 2025-08-26T19:58:29.9026214Z If you have any feedback related to this constraint, please see `GitHub IterDataPipe Single Iterator Issue`_. 2025-08-26T19:58:29.9026699Z 2025-08-26T19:58:29.9027000Z These DataPipes can be invoked in two ways, using the class constructor or applying their 2025-08-26T19:58:29.9027764Z functional form onto an existing ``IterDataPipe`` (recommended, available to most but not all DataPipes). 2025-08-26T19:58:29.9028568Z You can chain multiple `IterDataPipe` together to form a pipeline that will perform multiple 2025-08-26T19:58:29.9029116Z operations in succession. 2025-08-26T19:58:29.9029291Z 2025-08-26T19:58:29.9029440Z .. _GitHub IterDataPipe Single Iterator Issue: 2025-08-26T19:58:29.9029821Z https://github.com/pytorch/data/issues/45 2025-08-26T19:58:29.9030077Z 2025-08-26T19:58:29.9030160Z Note: 2025-08-26T19:58:29.9030517Z When a subclass is used with :class:`~torch.utils.data.DataLoader`, each 2025-08-26T19:58:29.9031137Z item in the DataPipe will be yielded from the :class:`~torch.utils.data.DataLoader` 2025-08-26T19:58:29.9031749Z iterator. When :attr:`num_workers > 0`, each worker process will have a 2025-08-26T19:58:29.9032314Z different copy of the DataPipe object, so it is often desired to configure 2025-08-26T19:58:29.9032910Z each copy independently to avoid having duplicate data returned from the 2025-08-26T19:58:29.9033577Z workers. :func:`~torch.utils.data.get_worker_info`, when called in a worker 2025-08-26T19:58:29.9034203Z process, returns information about the worker. It can be used in either the 2025-08-26T19:58:29.9034811Z dataset's :meth:`__iter__` method or the :class:`~torch.utils.data.DataLoader` 's 2025-08-26T19:58:29.9035371Z :attr:`worker_init_fn` option to modify each copy's behavior. 2025-08-26T19:58:29.9035683Z 2025-08-26T19:58:29.9035771Z Examples: 2025-08-26T19:58:29.9035991Z General Usage: 2025-08-26T19:58:29.9036251Z >>> # xdoctest: +SKIP 2025-08-26T19:58:29.9036642Z >>> from torchdata.datapipes.iter import IterableWrapper, Mapper 2025-08-26T19:58:29.9037090Z >>> dp = IterableWrapper(range(10)) 2025-08-26T19:58:29.9037517Z >>> map_dp_1 = Mapper(dp, lambda x: x + 1) # Using class constructor 2025-08-26T19:58:29.9037932Z >>> map_dp_2 = dp.map( 2025-08-26T19:58:29.9038211Z ... lambda x: x + 1 2025-08-26T19:58:29.9038540Z ... ) # Using functional form (recommended) 2025-08-26T19:58:29.9038891Z >>> list(map_dp_1) 2025-08-26T19:58:29.9039167Z [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] 2025-08-26T19:58:29.9039461Z >>> list(map_dp_2) 2025-08-26T19:58:29.9039727Z [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] 2025-08-26T19:58:29.9040080Z >>> filter_dp = map_dp_1.filter(lambda x: x % 2 == 0) 2025-08-26T19:58:29.9040447Z >>> list(filter_dp) 2025-08-26T19:58:29.9040777Z [2, 4, 6, 8, 10] 2025-08-26T19:58:29.9041068Z Single Iterator Constraint Example: 2025-08-26T19:58:29.9041570Z >>> from torchdata.datapipes.iter import IterableWrapper, Mapper 2025-08-26T19:58:29.9042041Z >>> source_dp = IterableWrapper(range(10)) 2025-08-26T19:58:29.9042385Z >>> it1 = iter(source_dp) 2025-08-26T19:58:29.9042682Z >>> list(it1) 2025-08-26T19:58:29.9042942Z [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] 2025-08-26T19:58:29.9043252Z >>> it1 = iter(source_dp) 2025-08-26T19:58:29.9043535Z >>> it2 = iter( 2025-08-26T19:58:29.9043831Z ... source_dp 2025-08-26T19:58:29.9044163Z ... ) # The creation of a new iterator invalidates `it1` 2025-08-26T19:58:29.9044539Z >>> next(it2) 2025-08-26T19:58:29.9044769Z 0 2025-08-26T19:58:29.9045088Z >>> next(it1) # Further usage of `it1` will raise a `RunTimeError` 2025-08-26T19:58:29.9045410Z 2025-08-26T19:58:29.9045665Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.9046041Z 2025-08-26T19:58:29.9278255Z msg = Cannot scrape callname=DemultiplexerIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py line=375. 2025-08-26T19:58:29.9279361Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.9279758Z 2025-08-26T19:58:29.9280274Z Splits the input DataPipe into multiple child DataPipes, using the given classification function (functional name: ``demux``). 2025-08-26T19:58:29.9281083Z 2025-08-26T19:58:29.9281440Z A list of the child DataPipes is returned from this operation. 2025-08-26T19:58:29.9281982Z 2025-08-26T19:58:29.9282067Z Args: 2025-08-26T19:58:29.9282326Z datapipe: Iterable DataPipe being filtered 2025-08-26T19:58:29.9282774Z num_instances: number of instances of the DataPipe to create 2025-08-26T19:58:29.9283459Z classifier_fn: a function that maps values to an integer within the range ``[0, num_instances - 1]`` or ``None`` 2025-08-26T19:58:29.9284389Z drop_none: defaults to ``False``, if ``True``, the function will skip over elements classified as ``None`` 2025-08-26T19:58:29.9285219Z buffer_size: this defines the maximum number of inputs that the buffer can hold across all child 2025-08-26T19:58:29.9285847Z DataPipes while waiting for their values to be yielded. 2025-08-26T19:58:29.9286316Z Defaults to ``1000``. Use ``-1`` for the unlimited buffer. 2025-08-26T19:58:29.9286599Z 2025-08-26T19:58:29.9286702Z Examples: 2025-08-26T19:58:29.9286942Z >>> # xdoctest: +REQUIRES(module:torchdata) 2025-08-26T19:58:29.9287356Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-26T19:58:29.9287749Z >>> def odd_or_even(n): 2025-08-26T19:58:29.9288026Z ... return n % 2 2025-08-26T19:58:29.9288310Z >>> source_dp = IterableWrapper(range(5)) 2025-08-26T19:58:29.9288763Z >>> dp1, dp2 = source_dp.demux(num_instances=2, classifier_fn=odd_or_even) 2025-08-26T19:58:29.9289193Z >>> list(dp1) 2025-08-26T19:58:29.9289437Z [0, 2, 4] 2025-08-26T19:58:29.9289650Z >>> list(dp2) 2025-08-26T19:58:29.9289877Z [1, 3] 2025-08-26T19:58:29.9290238Z >>> # It can also filter out any element that gets `None` from the `classifier_fn` 2025-08-26T19:58:29.9290704Z >>> def odd_or_even_no_zero(n): 2025-08-26T19:58:29.9291013Z ... return n % 2 if n != 0 else None 2025-08-26T19:58:29.9291343Z >>> dp1, dp2 = source_dp.demux( 2025-08-26T19:58:29.9291768Z ... num_instances=2, classifier_fn=odd_or_even_no_zero, drop_none=True 2025-08-26T19:58:29.9292190Z ... ) 2025-08-26T19:58:29.9292387Z >>> list(dp1) 2025-08-26T19:58:29.9292617Z [2, 4] 2025-08-26T19:58:29.9292832Z >>> list(dp2) 2025-08-26T19:58:29.9293062Z [1, 3] 2025-08-26T19:58:29.9293179Z 2025-08-26T19:58:29.9293431Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.9293813Z 2025-08-26T19:58:29.9294528Z msg = Cannot scrape callname=MultiplexerIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py line=594. 2025-08-26T19:58:29.9295736Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.9296132Z 2025-08-26T19:58:29.9296442Z Yields one element at a time from each of the input Iterable DataPipes (functional name: ``mux``). 2025-08-26T19:58:29.9296886Z 2025-08-26T19:58:29.9297238Z As in, one element from the 1st input DataPipe, then one element from the 2nd DataPipe in the next iteration, 2025-08-26T19:58:29.9297906Z and so on. It ends when the shortest input DataPipe is exhausted. 2025-08-26T19:58:29.9298204Z 2025-08-26T19:58:29.9298306Z Args: 2025-08-26T19:58:29.9298826Z datapipes: Iterable DataPipes that will take turn to yield their elements, until the shortest DataPipe is exhausted 2025-08-26T19:58:29.9299367Z 2025-08-26T19:58:29.9299452Z Example: 2025-08-26T19:58:29.9299704Z >>> # xdoctest: +REQUIRES(module:torchdata) 2025-08-26T19:58:29.9300186Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-26T19:58:29.9300563Z >>> dp1, dp2, dp3 = ( 2025-08-26T19:58:29.9300851Z ... IterableWrapper(range(3)), 2025-08-26T19:58:29.9301188Z ... IterableWrapper(range(10, 15)), 2025-08-26T19:58:29.9301534Z ... IterableWrapper(range(20, 25)), 2025-08-26T19:58:29.9301831Z ... ) 2025-08-26T19:58:29.9302058Z >>> list(dp1.mux(dp2, dp3)) 2025-08-26T19:58:29.9302345Z [0, 10, 20, 1, 11, 21, 2, 12, 22] 2025-08-26T19:58:29.9302537Z 2025-08-26T19:58:29.9302803Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.9303172Z 2025-08-26T19:58:29.9303845Z msg = Cannot scrape callname=ZipperIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py line=665. 2025-08-26T19:58:29.9304868Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.9305263Z 2025-08-26T19:58:29.9305573Z Aggregates elements into a tuple from each of the input DataPipes (functional name: ``zip``). 2025-08-26T19:58:29.9306015Z 2025-08-26T19:58:29.9306241Z The output is stopped as soon as the shortest input DataPipe is exhausted. 2025-08-26T19:58:29.9306588Z 2025-08-26T19:58:29.9306682Z Args: 2025-08-26T19:58:29.9306951Z *datapipes: Iterable DataPipes being aggregated 2025-08-26T19:58:29.9307210Z 2025-08-26T19:58:29.9307295Z Example: 2025-08-26T19:58:29.9307543Z >>> # xdoctest: +REQUIRES(module:torchdata) 2025-08-26T19:58:29.9307960Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-26T19:58:29.9308351Z >>> dp1, dp2, dp3 = ( 2025-08-26T19:58:29.9308629Z ... IterableWrapper(range(5)), 2025-08-26T19:58:29.9308968Z ... IterableWrapper(range(10, 15)), 2025-08-26T19:58:29.9309315Z ... IterableWrapper(range(20, 25)), 2025-08-26T19:58:29.9309633Z ... ) 2025-08-26T19:58:29.9309851Z >>> list(dp1.zip(dp2, dp3)) 2025-08-26T19:58:29.9310185Z [(0, 10, 20), (1, 11, 21), (2, 12, 22), (3, 13, 23), (4, 14, 24)] 2025-08-26T19:58:29.9310449Z 2025-08-26T19:58:29.9310700Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.9311075Z 2025-08-26T19:58:29.9313085Z msg = Cannot scrape callname=FileOpenerIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/fileopener.py line=18. 2025-08-26T19:58:29.9314173Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.9314555Z 2025-08-26T19:58:29.9314944Z Given pathnames, opens files and yield pathname and file stream in a tuple (functional name: ``open_files``). 2025-08-26T19:58:29.9315438Z 2025-08-26T19:58:29.9315522Z Args: 2025-08-26T19:58:29.9315810Z datapipe: Iterable datapipe that provides pathnames 2025-08-26T19:58:29.9316269Z mode: An optional string that specifies the mode in which 2025-08-26T19:58:29.9316850Z the file is opened by ``open()``. It defaults to ``r``, other options are 2025-08-26T19:58:29.9317379Z ``b`` for reading in binary mode and ``t`` for text mode. 2025-08-26T19:58:29.9317867Z encoding: An optional string that specifies the encoding of the 2025-08-26T19:58:29.9318454Z underlying file. It defaults to ``None`` to match the default encoding of ``open``. 2025-08-26T19:58:29.9318971Z length: Nominal length of the datapipe 2025-08-26T19:58:29.9319201Z 2025-08-26T19:58:29.9319305Z Note: 2025-08-26T19:58:29.9319689Z The opened file handles will be closed by Python's GC periodically. Users can choose 2025-08-26T19:58:29.9320195Z to close them explicitly. 2025-08-26T19:58:29.9320385Z 2025-08-26T19:58:29.9320489Z Example: 2025-08-26T19:58:29.9320722Z >>> # xdoctest: +SKIP 2025-08-26T19:58:29.9321021Z >>> from torchdata.datapipes.iter import ( 2025-08-26T19:58:29.9321368Z ... FileLister, 2025-08-26T19:58:29.9321634Z ... FileOpener, 2025-08-26T19:58:29.9321911Z ... StreamReader, 2025-08-26T19:58:29.9322161Z ... ) 2025-08-26T19:58:29.9322567Z >>> dp = FileLister(root=".").filter(lambda fname: fname.endswith(".txt")) 2025-08-26T19:58:29.9323018Z >>> dp = FileOpener(dp) 2025-08-26T19:58:29.9323307Z >>> dp = StreamReader(dp) 2025-08-26T19:58:29.9323574Z >>> list(dp) 2025-08-26T19:58:29.9333141Z [('./abc.txt', 'abc')] 2025-08-26T19:58:29.9333402Z 2025-08-26T19:58:29.9333670Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.9334048Z 2025-08-26T19:58:29.9350259Z msg = Cannot scrape callname=GrouperIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py line=155. 2025-08-26T19:58:29.9351320Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:29.9351700Z 2025-08-26T19:58:29.9352121Z Groups data from IterDataPipe by keys from ``group_key_fn``, yielding a ``DataChunk`` with batch size up to ``group_size``. 2025-08-26T19:58:29.9352658Z 2025-08-26T19:58:29.9352776Z (functional name: ``groupby``). 2025-08-26T19:58:29.9352985Z 2025-08-26T19:58:29.9353438Z The samples are read sequentially from the source ``datapipe``, and a batch of samples belonging to the same group 2025-08-26T19:58:29.9354252Z will be yielded as soon as the size of the batch reaches ``group_size``. When the buffer is full, 2025-08-26T19:58:29.9355158Z the DataPipe will yield the largest batch with the same key, provided that its size is larger 2025-08-26T19:58:29.9355919Z than ``guaranteed_group_size``. If its size is smaller, it will be dropped if ``drop_remaining=True``. 2025-08-26T19:58:29.9356359Z 2025-08-26T19:58:29.9356742Z After iterating through the entirety of source ``datapipe``, everything not dropped due to the buffer capacity 2025-08-26T19:58:29.9357576Z will be yielded from the buffer, even if the group sizes are smaller than ``guaranteed_group_size``. 2025-08-26T19:58:29.9358045Z 2025-08-26T19:58:29.9358131Z Args: 2025-08-26T19:58:29.9358388Z datapipe: Iterable datapipe to be grouped 2025-08-26T19:58:29.9358910Z group_key_fn: Function used to generate group key from the data of the source datapipe 2025-08-26T19:58:29.9359548Z keep_key: Option to yield the matching key along with the items in a tuple, 2025-08-26T19:58:29.9360073Z resulting in `(key, [items])` otherwise returning [items] 2025-08-26T19:58:29.9360525Z buffer_size: The size of buffer for ungrouped data 2025-08-26T19:58:29.9361072Z group_size: The max size of each group, a batch is yielded as soon as it reaches this size 2025-08-26T19:58:29.9361808Z guaranteed_group_size: The guaranteed minimum group size to be yielded in case the buffer is full 2025-08-26T19:58:29.9362615Z drop_remaining: Specifies if the group smaller than ``guaranteed_group_size`` will be dropped from buffer 2025-08-26T19:58:29.9363202Z when the buffer is full 2025-08-26T19:58:29.9363404Z 2025-08-26T19:58:29.9363599Z Example: 2025-08-26T19:58:29.9363818Z >>> import os 2025-08-26T19:58:29.9364100Z >>> # xdoctest: +SKIP 2025-08-26T19:58:29.9364450Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-26T19:58:29.9364845Z >>> def group_fn(file): 2025-08-26T19:58:29.9365170Z ... return os.path.basename(file).split(".")[0] 2025-08-26T19:58:29.9365543Z >>> source_dp = IterableWrapper( 2025-08-26T19:58:29.9365906Z ... ["a.png", "b.png", "a.json", "b.json", "a.jpg", "c.json"] 2025-08-26T19:58:29.9366269Z ... ) 2025-08-26T19:58:29.9366535Z >>> dp0 = source_dp.groupby(group_key_fn=group_fn) 2025-08-26T19:58:29.9366905Z >>> list(dp0) 2025-08-26T19:58:29.9367201Z [['a.png', 'a.json', 'a.jpg'], ['b.png', 'b.json'], ['c.json']] 2025-08-26T19:58:29.9367670Z >>> # A group is yielded as soon as its size equals to `group_size` 2025-08-26T19:58:29.9368164Z >>> dp1 = source_dp.groupby(group_key_fn=group_fn, group_size=2) 2025-08-26T19:58:29.9368557Z >>> list(dp1) 2025-08-26T19:58:29.9368931Z [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']] 2025-08-26T19:58:29.9369569Z >>> # Scenario where `buffer` is full, and group 'a' needs to be yielded since its size > `guaranteed_group_size` 2025-08-26T19:58:29.9370152Z >>> dp2 = source_dp.groupby( 2025-08-26T19:58:29.9370462Z ... group_key_fn=group_fn, 2025-08-26T19:58:29.9370756Z ... buffer_size=3, 2025-08-26T19:58:29.9371030Z ... group_size=3, 2025-08-26T19:58:29.9371311Z ... guaranteed_group_size=2, 2025-08-26T19:58:29.9371604Z ... ) 2025-08-26T19:58:29.9371806Z >>> list(dp2) 2025-08-26T19:58:29.9372113Z [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']] 2025-08-26T19:58:29.9372404Z 2025-08-26T19:58:29.9372658Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:29.9373028Z 2025-08-26T19:58:30.0922312Z gathering tests 2025-08-26T19:58:30.0934316Z running 731 test(s) 2025-08-26T19:58:30.0966750Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::typename:0, line 1082 <- wrt source file 2025-08-26T19:58:30.0974938Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::typename:0 2025-08-26T19:58:30.0976230Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::is_tensor:0, line 1118 <- wrt source file 2025-08-26T19:58:30.0979873Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::is_tensor:0 2025-08-26T19:58:30.0981199Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_device:0, line 1203 <- wrt source file 2025-08-26T19:58:30.0982777Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_device:0 2025-08-26T19:58:30.0984146Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1252 <- wrt source file 2025-08-26T19:58:30.0985692Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-08-26T19:58:30.0987378Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_dtype:0, line 1289 <- wrt source file 2025-08-26T19:58:30.0988814Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_dtype:0 2025-08-26T19:58:30.0990153Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1444 <- wrt source file 2025-08-26T19:58:30.0991694Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-08-26T19:58:30.0993172Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::compile:0, line 2567 <- wrt source file 2025-08-26T19:58:30.0994969Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::compile:0 2025-08-26T19:58:30.0996320Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2840 <- wrt source file 2025-08-26T19:58:30.0997686Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-08-26T19:58:30.0999017Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-08-26T19:58:30.1000386Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::Generator:0 2025-08-26T19:58:30.1001716Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-08-26T19:58:30.1003227Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::_LinAlgError:0 2025-08-26T19:58:30.1004468Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-08-26T19:58:30.1005621Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::custom_op:0 2025-08-26T19:58:30.1006721Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-08-26T19:58:30.1007830Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl:0 2025-08-26T19:58:30.1008957Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-08-26T19:58:30.1408198Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-08-26T19:58:30.1409640Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-08-26T19:58:30.1411105Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-08-26T19:58:30.1412429Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 649 <- wrt source file 2025-08-26T19:58:30.1419726Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-08-26T19:58:30.1421823Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 706 <- wrt source file 2025-08-26T19:58:30.1441930Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-08-26T19:58:30.1444507Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1333 <- wrt source file 2025-08-26T19:58:30.1555205Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-08-26T19:58:30.1558315Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1378 <- wrt source file 2025-08-26T19:58:30.1563441Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-08-26T19:58:30.1564606Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.rename:0, line 1451 <- wrt source file 2025-08-26T19:58:30.1570706Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.rename:0 2025-08-26T19:58:30.1571952Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1481 <- wrt source file 2025-08-26T19:58:30.1576798Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-08-26T19:58:30.1578037Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-08-26T19:58:30.1598327Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-08-26T19:58:30.1599569Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-08-26T19:58:30.1604993Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_tensors:0 2025-08-26T19:58:30.1606218Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-08-26T19:58:30.1608150Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_shapes:0 2025-08-26T19:58:30.1609344Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-08-26T19:58:30.1620715Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::split:0 2025-08-26T19:58:30.1621848Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-08-26T19:58:30.1637369Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::einsum:0 2025-08-26T19:58:30.1638590Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-08-26T19:58:30.1649159Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-08-26T19:58:30.1650389Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-08-26T19:58:30.1660137Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::tensordot:0 2025-08-26T19:58:30.1661321Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-08-26T19:58:30.1667290Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cartesian_prod:0 2025-08-26T19:58:30.1668479Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-08-26T19:58:30.1677117Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::block_diag:0 2025-08-26T19:58:30.1678254Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-08-26T19:58:30.1690931Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cdist:0 2025-08-26T19:58:30.1692074Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-08-26T19:58:30.1707891Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_1d:0 2025-08-26T19:58:30.1709055Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-08-26T19:58:30.1725400Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_2d:0 2025-08-26T19:58:30.1726568Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-08-26T19:58:30.1746714Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_3d:0 2025-08-26T19:58:30.1747842Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-08-26T19:58:30.1779279Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::norm:0 2025-08-26T19:58:30.1780433Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::unravel_index:0, line 1903 <- wrt source file 2025-08-26T19:58:30.1805438Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::unravel_index:0 2025-08-26T19:58:30.1807007Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::chain_matmul:0, line 2003 <- wrt source file 2025-08-26T19:58:30.1808695Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::chain_matmul:0 2025-08-26T19:58:30.1810093Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_lu_impl:0, line 2104 <- wrt source file 2025-08-26T19:58:30.1811283Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_lu_impl:0 2025-08-26T19:58:30.1812350Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::list:0, line 473 <- wrt source file 2025-08-26T19:58:30.1813669Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::list:0 2025-08-26T19:58:30.1814835Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::help:0, line 533 <- wrt source file 2025-08-26T19:58:30.1815877Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::help:0 2025-08-26T19:58:30.1816976Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.define:0, line 153 <- wrt source file 2025-08-26T19:58:30.1818215Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.define:0 2025-08-26T19:58:30.1819455Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 247 <- wrt source file 2025-08-26T19:58:30.1842354Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-08-26T19:58:30.1843598Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.impl:0, line 307 <- wrt source file 2025-08-26T19:58:30.1846508Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.impl:0 2025-08-26T19:58:30.1847666Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::define:0, line 512 <- wrt source file 2025-08-26T19:58:30.1858009Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::define:0 2025-08-26T19:58:30.1859102Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::impl:0, line 618 <- wrt source file 2025-08-26T19:58:30.1874059Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::impl:0 2025-08-26T19:58:30.1875497Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_kernel:0, line 799 <- wrt source file 2025-08-26T19:58:30.1876935Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_kernel:0 2025-08-26T19:58:30.1878181Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_autocast:0, line 867 <- wrt source file 2025-08-26T19:58:30.1879392Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_autocast:0 2025-08-26T19:58:30.1880613Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_torch_dispatch:0, line 1232 <- wrt source file 2025-08-26T19:58:30.1966009Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_torch_dispatch:0 2025-08-26T19:58:30.1967223Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_vmap:0, line 1321 <- wrt source file 2025-08-26T19:58:30.2114384Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_vmap:0 2025-08-26T19:58:30.2115617Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_ignored_functions:0, line 116 <- wrt source file 2025-08-26T19:58:30.2120542Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_ignored_functions:0 2025-08-26T19:58:30.2121793Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_testing_overrides:0, line 422 <- wrt source file 2025-08-26T19:58:30.2159546Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_testing_overrides:0 2025-08-26T19:58:30.2160785Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::wrap_torch_function:0, line 1577 <- wrt source file 2025-08-26T19:58:30.2162824Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::wrap_torch_function:0 2025-08-26T19:58:30.2164080Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::handle_torch_function:0, line 1712 <- wrt source file 2025-08-26T19:58:30.2165986Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::handle_torch_function:0 2025-08-26T19:58:30.2167277Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1960 <- wrt source file 2025-08-26T19:58:30.2191886Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-08-26T19:58:30.2193183Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_like:0, line 1979 <- wrt source file 2025-08-26T19:58:30.2199126Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_like:0 2025-08-26T19:58:30.2200620Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-08-26T19:58:30.2202134Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/quasirandom.py::SobolEngine:0 2025-08-26T19:58:30.2203657Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::add_safe_globals:0, line 299 <- wrt source file 2025-08-26T19:58:30.2204931Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::add_safe_globals:0 2025-08-26T19:58:30.2206203Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::safe_globals:0, line 324 <- wrt source file 2025-08-26T19:58:30.2207915Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::safe_globals:0 2025-08-26T19:58:30.2209678Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::skip_data:0, line 400 <- wrt source file 2025-08-26T19:58:30.2210888Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::skip_data:0 2025-08-26T19:58:30.2212280Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::register_package:0, line 472 <- wrt source file 2025-08-26T19:58:30.2213553Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::register_package:0 2025-08-26T19:58:30.2214727Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::save:0, line 950 <- wrt source file 2025-08-26T19:58:30.2215883Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::save:0 2025-08-26T19:58:30.2217146Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-08-26T19:58:30.2218369Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/torch_version.py::TorchVersion:0 2025-08-26T19:58:30.2219590Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 320 <- wrt source file 2025-08-26T19:58:30.2220885Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-08-26T19:58:30.2222128Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_options:0, line 357 <- wrt source file 2025-08-26T19:58:30.2225837Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_options:0 2025-08-26T19:58:30.2227126Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 113 <- wrt source file 2025-08-26T19:58:30.2231313Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-08-26T19:58:30.2232887Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::device_index:0, line 249 <- wrt source file 2025-08-26T19:58:30.2234274Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::device_index:0 2025-08-26T19:58:30.2235517Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 125 <- wrt source file 2025-08-26T19:58:30.2236777Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-08-26T19:58:30.2238036Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 181 <- wrt source file 2025-08-26T19:58:31.2799219Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-08-26T19:58:31.2800528Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 411 <- wrt source file 2025-08-26T19:58:31.2801971Z * SKIPPED: 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/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-08-26T19:58:31.2814570Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 497 <- wrt source file 2025-08-26T19:58:31.2816201Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-08-26T19:58:31.2817973Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 512 <- wrt source file 2025-08-26T19:58:31.2819511Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-08-26T19:58:31.2821304Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1760 <- wrt source file 2025-08-26T19:58:31.2822577Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 197 <- wrt source file 2025-08-26T19:58:31.2832256Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-08-26T19:58:31.2833645Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 261 <- wrt source file 2025-08-26T19:58:31.2834972Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-08-26T19:58:31.2836214Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::collect_all:0, line 295 <- wrt source file 2025-08-26T19:58:31.2837430Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::collect_all:0 2025-08-26T19:58:31.2838568Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-08-26T19:58:31.2839713Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/__init__.py::annotate:0 2025-08-26T19:58:31.2840954Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-08-26T19:58:31.2848334Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-08-26T19:58:31.2849656Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-08-26T19:58:31.2895294Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-08-26T19:58:31.2897736Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-08-26T19:58:31.2900143Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-08-26T19:58:31.2902461Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-08-26T19:58:31.2975483Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::narrow:0 2025-08-26T19:58:31.2977949Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-08-26T19:58:31.2995199Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-08-26T19:58:31.2997712Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-08-26T19:58:31.3012124Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::masked_select:0 2025-08-26T19:58:31.3014713Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-08-26T19:58:31.3021587Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-08-26T19:58:31.3024278Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 349 <- wrt source file 2025-08-26T19:58:31.3026949Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-08-26T19:58:31.3029707Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 322 <- wrt source file 2025-08-26T19:58:31.3032638Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-08-26T19:58:31.3035542Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1410 <- wrt source file 2025-08-26T19:58:31.3038402Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-08-26T19:58:31.3041448Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 158 <- wrt source file 2025-08-26T19:58:31.3044748Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-08-26T19:58:31.3047560Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 768 <- wrt source file 2025-08-26T19:58:31.3327480Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-08-26T19:58:31.3330642Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-08-26T19:58:31.3333537Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-08-26T19:58:31.3336185Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 233 <- wrt source file 2025-08-26T19:58:31.3366864Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-08-26T19:58:31.3369395Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 475 <- wrt source file 2025-08-26T19:58:31.3425429Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-08-26T19:58:31.3428229Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1023 <- wrt source file 2025-08-26T19:58:31.3901237Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-08-26T19:58:31.3903767Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1181 <- wrt source file 2025-08-26T19:58:31.3963058Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-08-26T19:58:31.3965641Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1341 <- wrt source file 2025-08-26T19:58:31.3989517Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-08-26T19:58:31.3992192Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1505 <- wrt source file 2025-08-26T19:58:31.3995013Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-08-26T19:58:31.3997641Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1704 <- wrt source file 2025-08-26T19:58:31.4169412Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-08-26T19:58:31.4172065Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-08-26T19:58:31.4174827Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-08-26T19:58:31.4177416Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-08-26T19:58:31.4179920Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-08-26T19:58:31.4182738Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1131 <- wrt source file 2025-08-26T19:58:31.4185859Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-08-26T19:58:31.4188938Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1186 <- wrt source file 2025-08-26T19:58:31.4192413Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-08-26T19:58:31.4195424Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 186 <- wrt source file 2025-08-26T19:58:31.4198323Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-08-26T19:58:31.4201260Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 322 <- wrt source file 2025-08-26T19:58:31.4204327Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-08-26T19:58:31.4207092Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 155 <- wrt source file 2025-08-26T19:58:31.4209490Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-08-26T19:58:31.4212050Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-08-26T19:58:31.4214846Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-08-26T19:58:31.4217372Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/map.py::map:0, line 79 <- wrt source file 2025-08-26T19:58:31.4219712Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/map.py::map:0 2025-08-26T19:58:31.4222034Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 156 <- wrt source file 2025-08-26T19:58:31.4224487Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-08-26T19:58:31.4226960Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0, line 474 <- wrt source file 2025-08-26T19:58:31.4229595Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0 2025-08-26T19:58:31.4232188Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 372 <- wrt source file 2025-08-26T19:58:31.4234974Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-08-26T19:58:31.4237753Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1721 <- wrt source file 2025-08-26T19:58:31.4240799Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-08-26T19:58:31.4243713Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 3418 <- wrt source file 2025-08-26T19:58:31.4246558Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-08-26T19:58:31.4249441Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/template_registry.py::register_template_heuristic:0, line 45 <- wrt source file 2025-08-26T19:58:31.4252455Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/template_registry.py::register_template_heuristic:0 2025-08-26T19:58:31.4255340Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::custom_op:0, line 98 <- wrt source file 2025-08-26T19:58:31.4761118Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-08-26T19:58:31.4763797Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 238 <- wrt source file 2025-08-26T19:58:31.4850606Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-08-26T19:58:31.4853500Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 307 <- wrt source file 2025-08-26T19:58:31.4856800Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-08-26T19:58:31.4859670Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 541 <- wrt source file 2025-08-26T19:58:31.5019036Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-08-26T19:58:31.5020465Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 709 <- wrt source file 2025-08-26T19:58:31.5183887Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-08-26T19:58:31.5185719Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 795 <- wrt source file 2025-08-26T19:58:31.5187291Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-08-26T19:58:31.5188699Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 230 <- wrt source file 2025-08-26T19:58:31.5190124Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-08-26T19:58:31.5191502Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-08-26T19:58:31.5260476Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-08-26T19:58:31.5261835Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 51 <- wrt source file 2025-08-26T19:58:31.5266920Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-08-26T19:58:31.5268291Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_logging/_internal.py::set_logs:0, line 459 <- wrt source file 2025-08-26T19:58:31.5269518Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_logging/_internal.py::set_logs:0 2025-08-26T19:58:31.5270749Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file 2025-08-26T19:58:31.5313209Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-08-26T19:58:31.5314523Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-08-26T19:58:31.5369330Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-08-26T19:58:31.5370689Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-08-26T19:58:31.5372059Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-08-26T19:58:31.5373371Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-08-26T19:58:31.5416077Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-08-26T19:58:31.5417666Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-08-26T19:58:31.5419961Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-08-26T19:58:31.5421352Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-08-26T19:58:31.5425181Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-08-26T19:58:31.5426867Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-08-26T19:58:31.5428211Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-08-26T19:58:31.5429459Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-08-26T19:58:31.5431267Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-08-26T19:58:31.5433006Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-08-26T19:58:31.5434694Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-08-26T19:58:31.5436394Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-08-26T19:58:31.5438216Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-08-26T19:58:31.5439587Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 30 <- wrt source file 2025-08-26T19:58:31.5441104Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-08-26T19:58:31.5442688Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-08-26T19:58:31.5444415Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-08-26T19:58:31.5446003Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-08-26T19:58:31.5447608Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-08-26T19:58:31.5449377Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-08-26T19:58:31.5451031Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-08-26T19:58:31.5452618Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-08-26T19:58:31.5454214Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-08-26T19:58:31.5455833Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 30 <- wrt source file 2025-08-26T19:58:31.5459719Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-08-26T19:58:31.5461510Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-08-26T19:58:31.5491654Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-08-26T19:58:31.5493874Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 211 <- wrt source file 2025-08-26T19:58:31.5496199Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-08-26T19:58:31.5497664Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 283 <- wrt source file 2025-08-26T19:58:31.5498980Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-08-26T19:58:31.5500500Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 359 <- wrt source file 2025-08-26T19:58:31.5502284Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-08-26T19:58:31.5503594Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-08-26T19:58:31.5505219Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-08-26T19:58:31.5507816Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-08-26T19:58:31.5510138Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-08-26T19:58:31.5512467Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-08-26T19:58:31.5514660Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-08-26T19:58:31.5516927Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 124 <- wrt source file 2025-08-26T19:58:31.5518371Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-08-26T19:58:31.5520661Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 209 <- wrt source file 2025-08-26T19:58:31.5523134Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-08-26T19:58:31.5525476Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 296 <- wrt source file 2025-08-26T19:58:31.5527043Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-08-26T19:58:31.5528557Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 378 <- wrt source file 2025-08-26T19:58:31.5530124Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-08-26T19:58:31.5531709Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 460 <- wrt source file 2025-08-26T19:58:31.5533266Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-08-26T19:58:31.5534730Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-08-26T19:58:31.5536242Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-08-26T19:58:31.5537918Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 515 <- wrt source file 2025-08-26T19:58:31.5540711Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-08-26T19:58:31.5543437Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 801 <- wrt source file 2025-08-26T19:58:31.5546194Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-08-26T19:58:31.5548931Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1206 <- wrt source file 2025-08-26T19:58:31.5551771Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-08-26T19:58:31.5554795Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1273 <- wrt source file 2025-08-26T19:58:31.5557714Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-08-26T19:58:31.5560526Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1326 <- wrt source file 2025-08-26T19:58:31.5563394Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-08-26T19:58:31.5566150Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-08-26T19:58:31.5569092Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-08-26T19:58:31.5572165Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 505 <- wrt source file 2025-08-26T19:58:31.5575437Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-08-26T19:58:31.5578361Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 635 <- wrt source file 2025-08-26T19:58:31.5581420Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-08-26T19:58:31.5584577Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 892 <- wrt source file 2025-08-26T19:58:31.5587703Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-08-26T19:58:31.5590524Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1014 <- wrt source file 2025-08-26T19:58:31.5593574Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-08-26T19:58:31.5596426Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1140 <- wrt source file 2025-08-26T19:58:31.5599304Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-08-26T19:58:31.5602166Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-08-26T19:58:31.5605219Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-08-26T19:58:31.5608145Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-08-26T19:58:31.5611183Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-08-26T19:58:31.5614243Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-08-26T19:58:31.5617445Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-08-26T19:58:31.5620532Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-08-26T19:58:31.5623652Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-08-26T19:58:31.5626480Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file 2025-08-26T19:58:31.5629169Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-08-26T19:58:31.5632283Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-08-26T19:58:31.5635940Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-08-26T19:58:31.5639113Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-08-26T19:58:31.5678094Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-08-26T19:58:31.5681157Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-08-26T19:58:31.5684205Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-08-26T19:58:31.5687046Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 176 <- wrt source file 2025-08-26T19:58:31.5689816Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-08-26T19:58:31.5692611Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 31 <- wrt source file 2025-08-26T19:58:31.5695694Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-08-26T19:58:31.5698651Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 76 <- wrt source file 2025-08-26T19:58:31.5701697Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-08-26T19:58:31.5704660Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 130 <- wrt source file 2025-08-26T19:58:31.5707659Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-08-26T19:58:31.5710707Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 163 <- wrt source file 2025-08-26T19:58:31.5713909Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-08-26T19:58:31.5716712Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-08-26T19:58:31.5719340Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-08-26T19:58:31.5722047Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-08-26T19:58:31.5724874Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-08-26T19:58:31.5727560Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-08-26T19:58:31.5730187Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-08-26T19:58:31.5732792Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-08-26T19:58:31.5735507Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-08-26T19:58:31.5738175Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-08-26T19:58:31.5740970Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-08-26T19:58:31.5743843Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-08-26T19:58:31.5746549Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-08-26T19:58:31.5749364Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-08-26T19:58:31.5752345Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-08-26T19:58:31.5755584Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-08-26T19:58:31.5758927Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-08-26T19:58:31.5761887Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-08-26T19:58:31.5764689Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-08-26T19:58:31.5767473Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-08-26T19:58:31.5770356Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-08-26T19:58:31.5773145Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-08-26T19:58:31.5775908Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-08-26T19:58:31.5778592Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 172 <- wrt source file 2025-08-26T19:58:31.5781307Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-08-26T19:58:31.5783963Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 544 <- wrt source file 2025-08-26T19:58:31.5786698Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-08-26T19:58:31.5789433Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 566 <- wrt source file 2025-08-26T19:58:31.5792231Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-08-26T19:58:31.5794972Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 580 <- wrt source file 2025-08-26T19:58:31.5797723Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-08-26T19:58:31.5800403Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 602 <- wrt source file 2025-08-26T19:58:31.5803108Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-08-26T19:58:31.5805813Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 729 <- wrt source file 2025-08-26T19:58:31.5808545Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-08-26T19:58:31.5811459Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2025-08-26T19:58:31.5814710Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2025-08-26T19:58:31.5817922Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 102 <- wrt source file 2025-08-26T19:58:31.5821253Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-08-26T19:58:31.5824423Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 148 <- wrt source file 2025-08-26T19:58:31.5827607Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-08-26T19:58:31.5830662Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 188 <- wrt source file 2025-08-26T19:58:31.5833813Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2025-08-26T19:58:31.5837018Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 436 <- wrt source file 2025-08-26T19:58:31.5840322Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-08-26T19:58:31.5843211Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-08-26T19:58:31.5845844Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2025-08-26T19:58:31.5848346Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file 2025-08-26T19:58:31.5850793Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::make_dual:0 2025-08-26T19:58:31.5853240Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file 2025-08-26T19:58:31.5855891Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2025-08-26T19:58:31.5858341Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file 2025-08-26T19:58:31.5860862Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::dual_level:0 2025-08-26T19:58:31.5863489Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 71 <- wrt source file 2025-08-26T19:58:31.5866340Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2025-08-26T19:58:31.5869235Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 115 <- wrt source file 2025-08-26T19:58:31.5872239Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2025-08-26T19:58:31.5875047Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 167 <- wrt source file 2025-08-26T19:58:31.5877804Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-08-26T19:58:31.5880656Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 214 <- wrt source file 2025-08-26T19:58:31.5883671Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-08-26T19:58:31.5886743Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 243 <- wrt source file 2025-08-26T19:58:31.5889756Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-08-26T19:58:31.5892397Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::Function:0, line 485 <- wrt source file 2025-08-26T19:58:31.5894817Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::Function:0 2025-08-26T19:58:31.5897170Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vjp:0, line 293 <- wrt source file 2025-08-26T19:58:31.5899524Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vjp:0 2025-08-26T19:58:31.5901866Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jvp:0, line 395 <- wrt source file 2025-08-26T19:58:31.5904229Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jvp:0 2025-08-26T19:58:31.5906613Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jacobian:0, line 630 <- wrt source file 2025-08-26T19:58:31.5909084Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jacobian:0 2025-08-26T19:58:31.5911488Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hessian:0, line 894 <- wrt source file 2025-08-26T19:58:31.5914037Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hessian:0 2025-08-26T19:58:31.5916425Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vhp:0, line 1010 <- wrt source file 2025-08-26T19:58:31.5918805Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vhp:0 2025-08-26T19:58:31.5921145Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hvp:0, line 1109 <- wrt source file 2025-08-26T19:58:31.5923519Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hvp:0 2025-08-26T19:58:31.5925792Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-08-26T19:58:31.5928167Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-08-26T19:58:31.5930568Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-08-26T19:58:31.5933145Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-08-26T19:58:31.5935621Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-08-26T19:58:31.5938210Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-08-26T19:58:31.5940715Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 238 <- wrt source file 2025-08-26T19:58:31.5943268Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-08-26T19:58:31.5945699Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.name:0, line 53 <- wrt source file 2025-08-26T19:58:31.5948211Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.name:0 2025-08-26T19:58:31.5950638Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 110 <- wrt source file 2025-08-26T19:58:31.5953234Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-08-26T19:58:31.5955939Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 147 <- wrt source file 2025-08-26T19:58:31.5958588Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-08-26T19:58:31.5961159Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 283 <- wrt source file 2025-08-26T19:58:31.5963742Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-08-26T19:58:31.5966181Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 353 <- wrt source file 2025-08-26T19:58:31.5968569Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-08-26T19:58:31.5971222Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 410 <- wrt source file 2025-08-26T19:58:31.5973977Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2025-08-26T19:58:31.5976642Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 487 <- wrt source file 2025-08-26T19:58:31.5979323Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2025-08-26T19:58:31.5982038Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 753 <- wrt source file 2025-08-26T19:58:31.5984861Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-08-26T19:58:31.5987432Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-08-26T19:58:31.5989849Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::profile:0 2025-08-26T19:58:31.5992223Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_itt:0, line 880 <- wrt source file 2025-08-26T19:58:31.5994819Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_itt:0 2025-08-26T19:58:31.5997194Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 953 <- wrt source file 2025-08-26T19:58:31.5999637Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_nvtx:0 2025-08-26T19:58:31.6002001Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 42 <- wrt source file 2025-08-26T19:58:31.6004380Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-08-26T19:58:31.6006757Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 58 <- wrt source file 2025-08-26T19:58:31.6009337Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-08-26T19:58:31.6011606Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::GdsFile:0, line 85 <- wrt source file 2025-08-26T19:58:31.6013804Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::GdsFile:0 2025-08-26T19:58:31.6016081Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-08-26T19:58:31.6018531Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-08-26T19:58:31.6020915Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-08-26T19:58:31.6023365Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-08-26T19:58:31.6025761Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-08-26T19:58:31.6028215Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-08-26T19:58:31.6030767Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-08-26T19:58:31.6033537Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-08-26T19:58:31.6036002Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-08-26T19:58:31.6038326Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/profiler.py::profile:0 2025-08-26T19:58:31.6040761Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 431 <- wrt source file 2025-08-26T19:58:31.6043360Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-08-26T19:58:31.6046070Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 975 <- wrt source file 2025-08-26T19:58:31.6048986Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-08-26T19:58:31.6051774Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1121 <- wrt source file 2025-08-26T19:58:31.6054696Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-08-26T19:58:31.6057579Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2578 <- wrt source file 2025-08-26T19:58:31.6060521Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0 2025-08-26T19:58:31.6063368Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0, line 2680 <- wrt source file 2025-08-26T19:58:31.6066207Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0 2025-08-26T19:58:31.6068990Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 3147 <- wrt source file 2025-08-26T19:58:31.6072023Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0 2025-08-26T19:58:31.6074895Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 3376 <- wrt source file 2025-08-26T19:58:31.6077750Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0 2025-08-26T19:58:31.6080546Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 3478 <- wrt source file 2025-08-26T19:58:31.6083399Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0 2025-08-26T19:58:31.6086258Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3592 <- wrt source file 2025-08-26T19:58:31.6089232Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0 2025-08-26T19:58:31.6092124Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 3715 <- wrt source file 2025-08-26T19:58:31.6095074Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 2025-08-26T19:58:31.6097977Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 3924 <- wrt source file 2025-08-26T19:58:31.6101262Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 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DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0, line 4391 <- wrt source file 2025-08-26T19:58:31.6124510Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0 2025-08-26T19:58:31.6127403Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 4873 <- wrt source file 2025-08-26T19:58:31.6130292Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0 2025-08-26T19:58:31.6133089Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0, line 5415 <- wrt source file 2025-08-26T19:58:31.6135973Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0 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source file 2025-08-26T19:58:31.6455886Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py::StateDictType:0 2025-08-26T19:58:31.6458887Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0, line 125 <- wrt source file 2025-08-26T19:58:31.6462316Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0 2025-08-26T19:58:31.6466100Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0, line 1490 <- wrt source file 2025-08-26T19:58:31.6470077Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0 2025-08-26T19:58:31.6474535Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1610 <- wrt source file 2025-08-26T19:58:31.6479170Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0 2025-08-26T19:58:31.6483542Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0, line 1695 <- wrt source file 2025-08-26T19:58:31.6487894Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0 2025-08-26T19:58:31.6491693Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 54 <- wrt source file 2025-08-26T19:58:31.6495167Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0 2025-08-26T19:58:31.6498297Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 224 <- wrt source file 2025-08-26T19:58:31.6501250Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0 2025-08-26T19:58:31.6504223Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file 2025-08-26T19:58:31.6507414Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0 2025-08-26T19:58:31.6510839Z * DOCTEST : 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SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0 2025-08-26T19:58:31.6549432Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 102 <- wrt source file 2025-08-26T19:58:31.6552673Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0 2025-08-26T19:58:31.6555639Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 174 <- wrt source file 2025-08-26T19:58:31.6558109Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::_wait_all:0 2025-08-26T19:58:31.6560538Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 345 <- wrt source file 2025-08-26T19:58:31.6563012Z * SKIPPED: 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wrt source file 2025-08-26T19:58:31.6631212Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2025-08-26T19:58:31.6634058Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file 2025-08-26T19:58:31.6636657Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-08-26T19:58:31.6639090Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-08-26T19:58:31.6641439Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/beta.py::Beta:0 2025-08-26T19:58:31.6643847Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-08-26T19:58:31.6646394Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/binomial.py::Binomial:0 2025-08-26T19:58:31.6649022Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-08-26T19:58:31.6651772Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/categorical.py::Categorical:0 2025-08-26T19:58:31.6654295Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-08-26T19:58:31.6656866Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-08-26T19:58:31.6659213Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-08-26T19:58:31.6661563Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/chi2.py::Chi2:0 2025-08-26T19:58:31.6664172Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::is_dependent:0, line 166 <- wrt source file 2025-08-26T19:58:31.6666891Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-08-26T19:58:31.6669645Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 187 <- wrt source file 2025-08-26T19:58:31.6672521Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-08-26T19:58:31.6675503Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-08-26T19:58:31.6678611Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-08-26T19:58:31.6681393Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 42 <- wrt source file 2025-08-26T19:58:31.6683978Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-08-26T19:58:31.6686580Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-08-26T19:58:31.6689292Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/exponential.py::Exponential:0 2025-08-26T19:58:31.6692025Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-08-26T19:58:31.6694892Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-08-26T19:58:31.6697466Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-08-26T19:58:31.6699851Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gamma.py::Gamma:0 2025-08-26T19:58:31.6702526Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-08-26T19:58:31.6705536Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-08-26T19:58:31.6708275Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-08-26T19:58:31.6710874Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/geometric.py::Geometric:0 2025-08-26T19:58:31.6713513Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-08-26T19:58:31.6715978Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-08-26T19:58:31.6718478Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-08-26T19:58:31.6721132Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-08-26T19:58:31.6723738Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-08-26T19:58:31.6726390Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-08-26T19:58:31.6729093Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-08-26T19:58:31.6731812Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/independent.py::Independent:0 2025-08-26T19:58:31.6734488Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-08-26T19:58:31.6737252Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-08-26T19:58:31.6739937Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-08-26T19:58:31.6742636Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-08-26T19:58:31.6745176Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-08-26T19:58:31.6747681Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/laplace.py::Laplace:0 2025-08-26T19:58:31.6750221Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-08-26T19:58:31.6752925Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-08-26T19:58:31.6755695Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-08-26T19:58:31.6758318Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-08-26T19:58:31.6760993Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-08-26T19:58:31.6763851Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-08-26T19:58:31.6766570Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-08-26T19:58:31.6784667Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-08-26T19:58:31.6787790Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-08-26T19:58:31.6791094Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-08-26T19:58:31.6793930Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-08-26T19:58:31.6796402Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/normal.py::Normal:0 2025-08-26T19:58:31.6799100Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-08-26T19:58:31.6802115Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-08-26T19:58:31.6804757Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-08-26T19:58:31.6807364Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/pareto.py::Pareto:0 2025-08-26T19:58:31.6809817Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-08-26T19:58:31.6812324Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/poisson.py::Poisson:0 2025-08-26T19:58:31.6814807Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-08-26T19:58:31.6817345Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/studentT.py::StudentT:0 2025-08-26T19:58:31.6819955Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1065 <- wrt source file 2025-08-26T19:58:31.6822681Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-08-26T19:58:31.6825376Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1177 <- wrt source file 2025-08-26T19:58:31.6828156Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-08-26T19:58:31.6831106Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1253 <- wrt source file 2025-08-26T19:58:31.6834345Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-08-26T19:58:31.6837116Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-08-26T19:58:31.6839618Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/uniform.py::Uniform:0 2025-08-26T19:58:31.6842085Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-08-26T19:58:31.6844618Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-08-26T19:58:31.6847116Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/von_mises.py::VonMises:0, line 117 <- wrt source file 2025-08-26T19:58:31.6849650Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-08-26T19:58:31.6852135Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-08-26T19:58:31.6854896Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/weibull.py::Weibull:0 2025-08-26T19:58:31.6857421Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file 2025-08-26T19:58:31.6859913Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/wishart.py::Wishart:0 2025-08-26T19:58:31.6862331Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 103 <- wrt source file 2025-08-26T19:58:31.6864711Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::Dim:0 2025-08-26T19:58:31.6867233Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 715 <- wrt source file 2025-08-26T19:58:31.6870077Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0 2025-08-26T19:58:31.6872742Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 731 <- wrt source file 2025-08-26T19:58:31.6875496Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1 2025-08-26T19:58:31.6878165Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 815 <- wrt source file 2025-08-26T19:58:31.6880857Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0 2025-08-26T19:58:31.6883248Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::_snake_case:0, line 102 <- wrt source file 2025-08-26T19:58:31.6885505Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::_snake_case:0 2025-08-26T19:58:31.6887902Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 1873 <- wrt source file 2025-08-26T19:58:31.6890472Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0 2025-08-26T19:58:31.6892957Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 1967 <- wrt source file 2025-08-26T19:58:31.6895434Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.on_generate_code:0 2025-08-26T19:58:31.6897853Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Interpreter:0, line 49 <- wrt source file 2025-08-26T19:58:31.6900287Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Interpreter:0 2025-08-26T19:58:31.6902674Z * DOCTEST : 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65 <- wrt source file 2025-08-26T19:58:31.6919999Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_consistent:0 2025-08-26T19:58:31.6922372Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_more_precise:0, line 93 <- wrt source file 2025-08-26T19:58:31.6924816Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_more_precise:0 2025-08-26T19:58:31.6927536Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0, line 96 <- wrt source file 2025-08-26T19:58:31.6930645Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0 2025-08-26T19:58:31.6933476Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/core.py::reify:0, line 58 <- wrt source file 2025-08-26T19:58:31.6936204Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/core.py::reify:0 2025-08-26T19:58:31.6938981Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0, line 48 <- wrt source file 2025-08-26T19:58:31.6941939Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0 2025-08-26T19:58:31.6944757Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::unifiable:0, line 11 <- wrt source file 2025-08-26T19:58:31.6947599Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::unifiable:0 2025-08-26T19:58:31.6950398Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::reify_object:0, line 37 <- wrt source file 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wrt source file 2025-08-26T19:58:31.6971367Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0 2025-08-26T19:58:31.6974421Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0, line 90 <- wrt source file 2025-08-26T19:58:31.6977503Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0 2025-08-26T19:58:31.6980611Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0, line 106 <- wrt source file 2025-08-26T19:58:31.6983760Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0 2025-08-26T19:58:31.6986789Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0, line 122 <- wrt source file 2025-08-26T19:58:31.6989883Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0 2025-08-26T19:58:31.6992959Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0, line 138 <- wrt source file 2025-08-26T19:58:31.6996278Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0 2025-08-26T19:58:31.6999400Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0, line 158 <- wrt source file 2025-08-26T19:58:31.7002560Z * SUCCESS: 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source file 2025-08-26T19:58:31.7021061Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0 2025-08-26T19:58:31.7024076Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0, line 416 <- wrt source file 2025-08-26T19:58:31.7027135Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0 2025-08-26T19:58:31.7030087Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0, line 15 <- wrt source file 2025-08-26T19:58:31.7033090Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0 2025-08-26T19:58:31.7035940Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0, line 42 <- wrt source file 2025-08-26T19:58:31.7038789Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0 2025-08-26T19:58:31.7041600Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0, line 70 <- wrt source file 2025-08-26T19:58:31.7044511Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0 2025-08-26T19:58:31.7047390Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 95 <- wrt source file 2025-08-26T19:58:31.7050677Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::freeze:0 2025-08-26T19:58:31.7053958Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/variable.py::variables:0, line 67 <- wrt source file 2025-08-26T19:58:31.7057527Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/variable.py::variables:0 2025-08-26T19:58:31.7061075Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0, line 20 <- wrt source file 2025-08-26T19:58:31.7065034Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0 2025-08-26T19:58:31.7068908Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0, line 113 <- wrt source file 2025-08-26T19:58:31.7072963Z * SKIPPED: 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/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0, line 304 <- wrt source file 2025-08-26T19:58:31.7098117Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0 2025-08-26T19:58:31.7102252Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0, line 434 <- wrt source file 2025-08-26T19:58:31.7106319Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0 2025-08-26T19:58:31.7110242Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0, line 18 <- wrt source file 2025-08-26T19:58:31.7114270Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0 2025-08-26T19:58:31.7118079Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 41 <- wrt source file 2025-08-26T19:58:31.7121920Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0 2025-08-26T19:58:31.7125730Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file 2025-08-26T19:58:31.7129831Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0 2025-08-26T19:58:31.7133579Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 87 <- wrt source file 2025-08-26T19:58:31.7137366Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0 2025-08-26T19:58:31.7141096Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 117 <- wrt source file 2025-08-26T19:58:31.7144900Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0 2025-08-26T19:58:31.7148808Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 47 <- wrt source file 2025-08-26T19:58:31.7152784Z * SKIPPED: 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file 2025-08-26T19:58:31.7173745Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0 2025-08-26T19:58:31.7176618Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/split_module.py::split_module:0, line 89 <- wrt source file 2025-08-26T19:58:31.7179637Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/split_module.py::split_module:0 2025-08-26T19:58:31.7183215Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file 2025-08-26T19:58:31.7187389Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0 2025-08-26T19:58:31.7191010Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 36 <- wrt source file 2025-08-26T19:58:31.7194318Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2025-08-26T19:58:31.7197463Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file 2025-08-26T19:58:31.7200684Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0 2025-08-26T19:58:31.7204081Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 122 <- wrt source file 2025-08-26T19:58:31.7207532Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0 2025-08-26T19:58:31.7210720Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 214 <- wrt source file 2025-08-26T19:58:31.7213841Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2025-08-26T19:58:31.7216721Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/_ops.py::logaddexp:0, line 1530 <- wrt source file 2025-08-26T19:58:31.7219365Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/_ops.py::logaddexp:0 2025-08-26T19:58:31.7222442Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2025-08-26T19:58:31.7225663Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-08-26T19:58:31.7228863Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 460 <- wrt source file 2025-08-26T19:58:31.7232249Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-08-26T19:58:31.7235625Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 579 <- wrt source file 2025-08-26T19:58:31.7768292Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-08-26T19:58:31.7789548Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2174 <- wrt source file 2025-08-26T19:58:31.7798444Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-08-26T19:58:31.7801184Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding:0, line 2478 <- wrt source file 2025-08-26T19:58:31.7807391Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding:0 2025-08-26T19:58:31.7809755Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding_bag:0, line 2618 <- wrt source file 2025-08-26T19:58:31.7817323Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding_bag:0 2025-08-26T19:58:31.7819692Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::ctc_loss:0, line 3051 <- wrt source file 2025-08-26T19:58:31.7835326Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::ctc_loss:0 2025-08-26T19:58:31.7837612Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::nll_loss:0, line 3121 <- wrt source file 2025-08-26T19:58:31.7842512Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::nll_loss:0 2025-08-26T19:58:31.7844858Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::cross_entropy:0, line 3430 <- wrt source file 2025-08-26T19:58:31.7851384Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::cross_entropy:0 2025-08-26T19:58:31.7854124Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3495 <- wrt source file 2025-08-26T19:58:31.7857629Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-08-26T19:58:31.7860292Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3565 <- wrt source file 2025-08-26T19:58:31.7863882Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-08-26T19:58:31.7866393Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::pad:0, line 5263 <- wrt source file 2025-08-26T19:58:31.7873850Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::pad:0 2025-08-26T19:58:31.7876250Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-08-26T19:58:31.7881758Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_input:0 2025-08-26T19:58:31.7883997Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-08-26T19:58:31.7886843Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-08-26T19:58:31.7889042Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-08-26T19:58:31.7894637Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_input:0 2025-08-26T19:58:31.7896880Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-08-26T19:58:31.7899724Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-08-26T19:58:31.7901921Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-08-26T19:58:31.7932459Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_input:0 2025-08-26T19:58:31.7935467Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-08-26T19:58:31.7962614Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-08-26T19:58:31.7965680Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::uniform_:0, line 230 <- wrt source file 2025-08-26T19:58:31.7968116Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::uniform_:0 2025-08-26T19:58:31.7970235Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::normal_:0, line 257 <- wrt source file 2025-08-26T19:58:31.7972392Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::normal_:0 2025-08-26T19:58:31.7974554Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::trunc_normal_:0, line 292 <- wrt source file 2025-08-26T19:58:31.7985554Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::trunc_normal_:0 2025-08-26T19:58:31.7987970Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::constant_:0, line 306 <- wrt source file 2025-08-26T19:58:31.7990171Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::constant_:0 2025-08-26T19:58:31.7992728Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::ones_:0, line 323 <- wrt source file 2025-08-26T19:58:31.7995136Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::ones_:0 2025-08-26T19:58:31.7997226Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::zeros_:0, line 336 <- wrt source file 2025-08-26T19:58:31.7999568Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::zeros_:0 2025-08-26T19:58:31.8001619Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::eye_:0, line 352 <- wrt source file 2025-08-26T19:58:31.8003942Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::eye_:0 2025-08-26T19:58:31.8006143Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::dirac_:0, line 374 <- wrt source file 2025-08-26T19:58:31.8008507Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::dirac_:0 2025-08-26T19:58:31.8010892Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_uniform_:0, line 460 <- wrt source file 2025-08-26T19:58:31.8013187Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-08-26T19:58:31.8015633Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_normal_:0, line 492 <- wrt source file 2025-08-26T19:58:31.8018120Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_normal_:0 2025-08-26T19:58:31.8020581Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 543 <- wrt source file 2025-08-26T19:58:31.8022879Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-08-26T19:58:31.8025400Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_normal_:0, line 608 <- wrt source file 2025-08-26T19:58:31.8028212Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-08-26T19:58:31.8030448Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::orthogonal_:0, line 647 <- wrt source file 2025-08-26T19:58:31.8032889Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::orthogonal_:0 2025-08-26T19:58:31.8035102Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::sparse_:0, line 700 <- wrt source file 2025-08-26T19:58:31.8037254Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::sparse_:0 2025-08-26T19:58:31.8039761Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 120 <- wrt source file 2025-08-26T19:58:31.8042378Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-08-26T19:58:31.8044928Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 95 <- wrt source file 2025-08-26T19:58:31.8047628Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-08-26T19:58:31.8050085Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-08-26T19:58:31.8052843Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-08-26T19:58:31.8055522Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-08-26T19:58:31.8058182Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-08-26T19:58:31.8060556Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-08-26T19:58:31.8063212Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-08-26T19:58:31.8065844Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-08-26T19:58:31.8068369Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-08-26T19:58:31.8071107Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-08-26T19:58:31.8073614Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-08-26T19:58:31.8076225Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-08-26T19:58:31.8078722Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-08-26T19:58:31.8081483Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-08-26T19:58:31.8084061Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-08-26T19:58:31.8086688Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-08-26T19:58:31.8089324Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-08-26T19:58:31.8091698Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-08-26T19:58:31.8094339Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-08-26T19:58:31.8096735Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-08-26T19:58:31.8099354Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Mish:0 2025-08-26T19:58:31.8101779Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-08-26T19:58:31.8104298Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-08-26T19:58:31.8106926Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-08-26T19:58:31.8109328Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ELU:0 2025-08-26T19:58:31.8111688Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-08-26T19:58:31.8114142Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::CELU:0 2025-08-26T19:58:31.8116488Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-08-26T19:58:31.8119053Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SELU:0 2025-08-26T19:58:31.8121380Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-08-26T19:58:31.8123772Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GLU:0 2025-08-26T19:58:31.8126119Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-08-26T19:58:31.8128525Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GELU:0 2025-08-26T19:58:31.8130951Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-08-26T19:58:31.8133607Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-08-26T19:58:31.8136101Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-08-26T19:58:31.8138617Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-08-26T19:58:31.8141098Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-08-26T19:58:31.8143652Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-08-26T19:58:31.8146124Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-08-26T19:58:31.8148638Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-08-26T19:58:31.8151124Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-08-26T19:58:31.8153732Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-08-26T19:58:31.8156490Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1144 <- wrt source file 2025-08-26T19:58:31.8159262Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-08-26T19:58:31.8162267Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1609 <- wrt source file 2025-08-26T19:58:31.8165116Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-08-26T19:58:31.8167807Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1660 <- wrt source file 2025-08-26T19:58:31.8170295Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-08-26T19:58:31.8172733Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1686 <- wrt source file 2025-08-26T19:58:31.8175308Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-08-26T19:58:31.8177764Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1724 <- wrt source file 2025-08-26T19:58:31.8180411Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-08-26T19:58:31.8182904Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1788 <- wrt source file 2025-08-26T19:58:31.8185393Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-08-26T19:58:31.8187858Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1835 <- wrt source file 2025-08-26T19:58:31.8190398Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-08-26T19:58:31.8192886Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1874 <- wrt source file 2025-08-26T19:58:31.8195608Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-08-26T19:58:31.8198120Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 332 <- wrt source file 2025-08-26T19:58:31.8200689Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-08-26T19:58:31.8203193Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 443 <- wrt source file 2025-08-26T19:58:31.8407887Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-08-26T19:58:31.8410445Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 554 <- wrt source file 2025-08-26T19:58:32.0856344Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-08-26T19:58:32.1012444Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-08-26T19:58:32.1035031Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-08-26T19:58:32.1037647Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-08-26T19:58:32.1040188Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential:0 2025-08-26T19:58:32.1042754Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 260 <- wrt source file 2025-08-26T19:58:32.1045487Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-08-26T19:58:32.1048163Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 283 <- wrt source file 2025-08-26T19:58:32.1053270Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-08-26T19:58:32.1056097Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 314 <- wrt source file 2025-08-26T19:58:32.1062078Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-08-26T19:58:32.1064848Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleList:0, line 343 <- wrt source file 2025-08-26T19:58:32.1067661Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-08-26T19:58:32.1070028Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 523 <- wrt source file 2025-08-26T19:58:32.1072541Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-08-26T19:58:32.1075242Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterList:0, line 653 <- wrt source file 2025-08-26T19:58:32.1078313Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-08-26T19:58:32.1081118Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 808 <- wrt source file 2025-08-26T19:58:32.1083905Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-08-26T19:58:32.1086792Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-08-26T19:58:32.1089568Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-08-26T19:58:32.1092250Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-08-26T19:58:32.1095204Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-08-26T19:58:32.1097866Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-08-26T19:58:32.1100485Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-08-26T19:58:32.1103106Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-08-26T19:58:32.1105771Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-08-26T19:58:32.1108117Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-08-26T19:58:32.1128450Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-08-26T19:58:32.1131118Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-08-26T19:58:32.1199240Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-08-26T19:58:32.1201734Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-08-26T19:58:32.1205133Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-08-26T19:58:32.1207899Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-08-26T19:58:32.1278501Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-08-26T19:58:32.1281080Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file 2025-08-26T19:58:32.1287222Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-08-26T19:58:32.1294239Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-08-26T19:58:32.1296743Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Fold:0 2025-08-26T19:58:32.1299022Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-08-26T19:58:32.1312079Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-08-26T19:58:32.1315017Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file 2025-08-26T19:58:32.1326789Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-08-26T19:58:32.1329787Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file 2025-08-26T19:58:32.1508363Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-08-26T19:58:32.1511131Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file 2025-08-26T19:58:32.3953416Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-08-26T19:58:32.4109527Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-08-26T19:58:32.4112109Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-08-26T19:58:32.4114605Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-08-26T19:58:32.4119587Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Identity:0 2025-08-26T19:58:32.4121924Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-08-26T19:58:32.4128544Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Linear:0 2025-08-26T19:58:32.4130908Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-08-26T19:58:32.4150798Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-08-26T19:58:32.4153184Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file 2025-08-26T19:58:32.4159243Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-08-26T19:58:32.4161519Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 215 <- wrt source file 2025-08-26T19:58:32.4187049Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-08-26T19:58:32.4189831Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 329 <- wrt source file 2025-08-26T19:58:32.4194635Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-08-26T19:58:32.4197448Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 418 <- wrt source file 2025-08-26T19:58:32.4210256Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-08-26T19:58:32.4212650Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 535 <- wrt source file 2025-08-26T19:58:32.4218813Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-08-26T19:58:32.4221503Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 617 <- wrt source file 2025-08-26T19:58:32.4225493Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-08-26T19:58:32.4227987Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 703 <- wrt source file 2025-08-26T19:58:32.4233156Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-08-26T19:58:32.4235591Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 778 <- wrt source file 2025-08-26T19:58:32.4245715Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-08-26T19:58:32.4248248Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 826 <- wrt source file 2025-08-26T19:58:32.4252574Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-08-26T19:58:32.4255708Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 974 <- wrt source file 2025-08-26T19:58:32.4262222Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-08-26T19:58:32.4264808Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1306 <- wrt source file 2025-08-26T19:58:32.4270800Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-08-26T19:58:32.4273776Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1333 <- wrt source file 2025-08-26T19:58:32.4276762Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-08-26T19:58:32.4279789Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1495 <- wrt source file 2025-08-26T19:58:32.4283065Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-08-26T19:58:32.4286030Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1562 <- wrt source file 2025-08-26T19:58:32.4290624Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-08-26T19:58:32.4293148Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1643 <- wrt source file 2025-08-26T19:58:32.4298935Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-08-26T19:58:32.4301458Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1745 <- wrt source file 2025-08-26T19:58:32.4310905Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-08-26T19:58:32.4313585Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 551 <- wrt source file 2025-08-26T19:58:32.4316324Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-08-26T19:58:32.4318870Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1039 <- wrt source file 2025-08-26T19:58:32.4327164Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-08-26T19:58:32.4329750Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.to:0, line 1290 <- wrt source file 2025-08-26T19:58:32.4334476Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.to:0 2025-08-26T19:58:32.4336956Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2229 <- wrt source file 2025-08-26T19:58:32.4339581Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-08-26T19:58:32.4342164Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2670 <- wrt source file 2025-08-26T19:58:32.4344793Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-08-26T19:58:32.4347447Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2698 <- wrt source file 2025-08-26T19:58:32.4350227Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-08-26T19:58:32.4352821Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2725 <- wrt source file 2025-08-26T19:58:32.4355664Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-08-26T19:58:32.4358237Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2752 <- wrt source file 2025-08-26T19:58:32.4360940Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-08-26T19:58:32.4363602Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2783 <- wrt source file 2025-08-26T19:58:32.4366296Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-08-26T19:58:32.4368754Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2807 <- wrt source file 2025-08-26T19:58:32.4371315Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-08-26T19:58:32.4373872Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2845 <- wrt source file 2025-08-26T19:58:32.4376533Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-08-26T19:58:32.4379254Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-08-26T19:58:32.4398751Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-08-26T19:58:32.4402071Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-08-26T19:58:32.4407991Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-08-26T19:58:32.4410973Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-08-26T19:58:32.4416104Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-08-26T19:58:32.4419278Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 367 <- wrt source file 2025-08-26T19:58:32.4422044Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-08-26T19:58:32.4424544Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-08-26T19:58:32.4428253Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-08-26T19:58:32.4430752Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 122 <- wrt source file 2025-08-26T19:58:32.4450507Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-08-26T19:58:32.4453020Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 187 <- wrt source file 2025-08-26T19:58:33.0720411Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-08-26T19:58:33.1011287Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 241 <- wrt source file 2025-08-26T19:58:33.1021509Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-08-26T19:58:33.1024035Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 294 <- wrt source file 2025-08-26T19:58:33.1027308Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-08-26T19:58:33.1029846Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 350 <- wrt source file 2025-08-26T19:58:33.1052274Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-08-26T19:58:33.1055005Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 395 <- wrt source file 2025-08-26T19:58:33.1059279Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-08-26T19:58:33.1061846Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 439 <- wrt source file 2025-08-26T19:58:33.1065820Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-08-26T19:58:33.1068413Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 497 <- wrt source file 2025-08-26T19:58:33.1071402Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-08-26T19:58:33.1074075Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 556 <- wrt source file 2025-08-26T19:58:33.1077432Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-08-26T19:58:33.1079790Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 600 <- wrt source file 2025-08-26T19:58:33.1085132Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-08-26T19:58:33.1087766Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 658 <- wrt source file 2025-08-26T19:58:33.6224995Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-08-26T19:58:33.6504042Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 692 <- wrt source file 2025-08-26T19:58:33.6513211Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-08-26T19:58:33.6515691Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 750 <- wrt source file 2025-08-26T19:58:33.6519853Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-08-26T19:58:33.6522309Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 812 <- wrt source file 2025-08-26T19:58:33.6544176Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-08-26T19:58:33.6546705Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-08-26T19:58:33.6550156Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-08-26T19:58:33.6552809Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-08-26T19:58:33.6556377Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-08-26T19:58:33.6558937Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-08-26T19:58:33.6563421Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-08-26T19:58:33.6565859Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-08-26T19:58:33.6616162Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-08-26T19:58:33.6618604Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-08-26T19:58:33.8874837Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-08-26T19:58:33.8930709Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-08-26T19:58:33.8942523Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-08-26T19:58:33.8945466Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-08-26T19:58:33.9754325Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-08-26T19:58:33.9757013Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-08-26T19:58:33.9774068Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-08-26T19:58:33.9776493Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-08-26T19:58:33.9816448Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-08-26T19:58:33.9818924Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-08-26T19:58:34.1484089Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-08-26T19:58:34.1541790Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-08-26T19:58:34.1593426Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-08-26T19:58:34.1596147Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-08-26T19:58:34.2395766Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-08-26T19:58:34.2398353Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1152 <- wrt source file 2025-08-26T19:58:34.2404779Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-08-26T19:58:34.2407543Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1204 <- wrt source file 2025-08-26T19:58:34.2460066Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-08-26T19:58:34.2463112Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1264 <- wrt source file 2025-08-26T19:58:34.4701262Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-08-26T19:58:34.4760301Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1320 <- wrt source file 2025-08-26T19:58:34.4777159Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-08-26T19:58:34.4779836Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1355 <- wrt source file 2025-08-26T19:58:34.4787148Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-08-26T19:58:34.4790161Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1399 <- wrt source file 2025-08-26T19:58:34.4815044Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-08-26T19:58:34.4817772Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1447 <- wrt source file 2025-08-26T19:58:34.4820841Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-08-26T19:58:34.4823729Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1481 <- wrt source file 2025-08-26T19:58:34.4831605Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-08-26T19:58:34.4834635Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1521 <- wrt source file 2025-08-26T19:58:34.4854056Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-08-26T19:58:34.4856654Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNN:0, line 595 <- wrt source file 2025-08-26T19:58:34.4866223Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-08-26T19:58:34.4868466Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 953 <- wrt source file 2025-08-26T19:58:34.5213373Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-08-26T19:58:34.5216145Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1288 <- wrt source file 2025-08-26T19:58:34.5231171Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-08-26T19:58:34.5233520Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1537 <- wrt source file 2025-08-26T19:58:34.5244677Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-08-26T19:58:34.5247028Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1659 <- wrt source file 2025-08-26T19:58:34.5255181Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-08-26T19:58:34.5257510Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1773 <- wrt source file 2025-08-26T19:58:34.5269137Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-08-26T19:58:34.5271516Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-08-26T19:58:34.5283419Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-08-26T19:58:34.5285988Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-08-26T19:58:34.5289056Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-08-26T19:58:34.5291875Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 521 <- wrt source file 2025-08-26T19:58:34.5296574Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-08-26T19:58:34.5299885Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 90 <- wrt source file 2025-08-26T19:58:35.3724803Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-08-26T19:58:35.3740602Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 336 <- wrt source file 2025-08-26T19:58:35.4886329Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-08-26T19:58:35.4951803Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 562 <- wrt source file 2025-08-26T19:58:35.7459027Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-08-26T19:58:35.7466615Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 686 <- wrt source file 2025-08-26T19:58:35.7762891Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-08-26T19:58:35.7766079Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 995 <- wrt source file 2025-08-26T19:58:35.8326105Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-08-26T19:58:35.8328955Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-08-26T19:58:35.8353851Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-08-26T19:58:35.8356667Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-08-26T19:58:35.8366576Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-08-26T19:58:35.8369361Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-08-26T19:58:35.8375460Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-08-26T19:58:35.8378054Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 127 <- wrt source file 2025-08-26T19:58:35.8380629Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-08-26T19:58:35.8382969Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 642 <- wrt source file 2025-08-26T19:58:35.8385375Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-08-26T19:58:35.8387945Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1446 <- wrt source file 2025-08-26T19:58:35.8390825Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-08-26T19:58:35.8393681Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1999 <- wrt source file 2025-08-26T19:58:35.8397144Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-08-26T19:58:35.8400252Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2009 <- wrt source file 2025-08-26T19:58:35.8403266Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-08-26T19:58:35.8406344Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2044 <- wrt source file 2025-08-26T19:58:35.8410118Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-08-26T19:58:35.8413062Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-08-26T19:58:35.8415781Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-08-26T19:58:35.8417955Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-08-26T19:58:35.8419659Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/init.py::skip_init:0 2025-08-26T19:58:35.8420939Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file 2025-08-26T19:58:35.8422320Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-08-26T19:58:35.8423669Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 360 <- wrt source file 2025-08-26T19:58:35.8425034Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-08-26T19:58:35.8426362Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 591 <- wrt source file 2025-08-26T19:58:35.8428089Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-08-26T19:58:35.8430098Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::identity:0, line 849 <- wrt source file 2025-08-26T19:58:35.8432210Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::identity:0 2025-08-26T19:58:35.8434482Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 885 <- wrt source file 2025-08-26T19:58:35.8436689Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-08-26T19:58:35.8438352Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 928 <- wrt source file 2025-08-26T19:58:35.8439627Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-08-26T19:58:35.8440870Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_structured:0, line 968 <- wrt source file 2025-08-26T19:58:35.8442318Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-08-26T19:58:35.8443571Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::remove:0, line 1197 <- wrt source file 2025-08-26T19:58:35.8460086Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::remove:0 2025-08-26T19:58:35.8462099Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1225 <- wrt source file 2025-08-26T19:58:35.8469878Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-08-26T19:58:35.8472232Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-08-26T19:58:35.8475643Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-08-26T19:58:35.8478234Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-08-26T19:58:35.8488130Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-08-26T19:58:35.8490499Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-08-26T19:58:35.8496619Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-08-26T19:58:35.8498794Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-08-26T19:58:35.8514600Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-08-26T19:58:35.8517145Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-08-26T19:58:35.8522488Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-08-26T19:58:35.8525124Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 346 <- wrt source file 2025-08-26T19:58:35.8531840Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-08-26T19:58:35.8534601Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 196 <- wrt source file 2025-08-26T19:58:35.8537242Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-08-26T19:58:35.8539462Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-08-26T19:58:35.8545020Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-08-26T19:58:35.8547294Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-08-26T19:58:35.8552206Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-08-26T19:58:35.8555013Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-08-26T19:58:35.8557555Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-08-26T19:58:35.8560741Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file 2025-08-26T19:58:35.8564076Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-08-26T19:58:35.8566770Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 280 <- wrt source file 2025-08-26T19:58:35.8569112Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-08-26T19:58:35.8571434Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 388 <- wrt source file 2025-08-26T19:58:35.8574137Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-08-26T19:58:35.8576527Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 491 <- wrt source file 2025-08-26T19:58:35.8578789Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-08-26T19:58:35.8581034Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 547 <- wrt source file 2025-08-26T19:58:35.8583395Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-08-26T19:58:35.8585603Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 608 <- wrt source file 2025-08-26T19:58:35.8587648Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-08-26T19:58:35.8588883Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 683 <- wrt source file 2025-08-26T19:58:35.8590122Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-08-26T19:58:35.8591356Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 773 <- wrt source file 2025-08-26T19:58:35.8592987Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-08-26T19:58:35.8595193Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 971 <- wrt source file 2025-08-26T19:58:35.8596519Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-08-26T19:58:35.8597808Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1062 <- wrt source file 2025-08-26T19:58:35.8599153Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-08-26T19:58:35.8601317Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1134 <- wrt source file 2025-08-26T19:58:35.8602867Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-08-26T19:58:35.8604287Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 1803 <- wrt source file 2025-08-26T19:58:35.8605917Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-08-26T19:58:35.8607973Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1819 <- wrt source file 2025-08-26T19:58:35.8610326Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-08-26T19:58:35.8611665Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::update_bn:0, line 337 <- wrt source file 2025-08-26T19:58:35.8612872Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-08-26T19:58:35.8614429Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 2025-08-26T19:58:35.8616338Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/package/glob_group.py::GlobGroup:0 2025-08-26T19:58:35.8617740Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 295 <- wrt source file 2025-08-26T19:58:35.8619311Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0 2025-08-26T19:58:35.8620664Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::profile:0, line 617 <- wrt source file 2025-08-26T19:58:35.8622286Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::profile:0 2025-08-26T19:58:35.8624236Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 339 <- wrt source file 2025-08-26T19:58:35.8625725Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-08-26T19:58:35.8627027Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-08-26T19:58:35.8628264Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_creation.py::make_tensor:0 2025-08-26T19:58:35.8629559Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 615 <- wrt source file 2025-08-26T19:58:35.8631003Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::parametrize:0 2025-08-26T19:58:35.8633309Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 736 <- wrt source file 2025-08-26T19:58:35.8635655Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0 2025-08-26T19:58:35.8638068Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 825 <- wrt source file 2025-08-26T19:58:35.8640413Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0 2025-08-26T19:58:35.8643029Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4734 <- wrt source file 2025-08-26T19:58:35.8645793Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0 2025-08-26T19:58:35.8648737Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4748 <- wrt source file 2025-08-26T19:58:35.8651745Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0 2025-08-26T19:58:35.8654396Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4778 <- wrt source file 2025-08-26T19:58:35.8657442Z * SKIPPED: 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<- wrt source file 2025-08-26T19:58:35.8671632Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0 2025-08-26T19:58:35.8673702Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2025-08-26T19:58:35.8675656Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2025-08-26T19:58:35.8677106Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 277 <- wrt source file 2025-08-26T19:58:35.8678347Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0 2025-08-26T19:58:35.8679560Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 320 <- wrt source file 2025-08-26T19:58:35.8680784Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-08-26T19:58:35.8682014Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 357 <- wrt source file 2025-08-26T19:58:35.8683278Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-08-26T19:58:35.8684625Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 387 <- wrt source file 2025-08-26T19:58:35.8698124Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-08-26T19:58:35.8700523Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 422 <- wrt source file 2025-08-26T19:58:35.8702961Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-08-26T19:58:35.8705404Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 457 <- wrt source file 2025-08-26T19:58:35.8708194Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-08-26T19:58:35.8710594Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 494 <- wrt source file 2025-08-26T19:58:35.8712992Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-08-26T19:58:35.8715500Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 893 <- wrt source file 2025-08-26T19:58:35.8725425Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-08-26T19:58:35.8727999Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 303 <- wrt source file 2025-08-26T19:58:35.8736583Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-08-26T19:58:35.8739059Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_constant:0, line 419 <- wrt source file 2025-08-26T19:58:35.8746328Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_constant:0 2025-08-26T19:58:35.8748599Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1026 <- wrt source file 2025-08-26T19:58:35.8753245Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-08-26T19:58:35.8755710Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_map:0, line 1345 <- wrt source file 2025-08-26T19:58:35.8759168Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_map:0 2025-08-26T19:58:35.8761793Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 69 <- wrt source file 2025-08-26T19:58:35.8764808Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-08-26T19:58:35.8767892Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 375 <- wrt source file 2025-08-26T19:58:35.8771159Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-08-26T19:58:35.8790460Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file 2025-08-26T19:58:35.8792846Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/dlpack.py::from_dlpack:0 2025-08-26T19:58:35.8795522Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 724 <- wrt source file 2025-08-26T19:58:35.9368446Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-08-26T19:58:35.9371224Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-08-26T19:58:35.9373849Z * SKIPPED: 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2025-08-26T19:58:35.9391444Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-08-26T19:58:35.9394227Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-08-26T19:58:35.9396792Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-08-26T19:58:35.9399333Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-08-26T19:58:35.9401911Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 364 <- wrt source file 2025-08-26T19:58:35.9404633Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-08-26T19:58:35.9407371Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 268 <- wrt source file 2025-08-26T19:58:35.9410175Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-08-26T19:58:35.9413169Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file 2025-08-26T19:58:35.9416271Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-08-26T19:58:35.9419567Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 201 <- wrt source file 2025-08-26T19:58:35.9422774Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-08-26T19:58:35.9426094Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-08-26T19:58:35.9429375Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-08-26T19:58:35.9432528Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-08-26T19:58:35.9435772Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0 2025-08-26T19:58:35.9438928Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 88 <- wrt source file 2025-08-26T19:58:35.9442051Z * SKIPPED: 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source file 2025-08-26T19:58:35.9460796Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0 2025-08-26T19:58:35.9463889Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 113 <- wrt source file 2025-08-26T19:58:35.9467068Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0 2025-08-26T19:58:35.9470138Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file 2025-08-26T19:58:35.9473340Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-08-26T19:58:35.9476540Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 25 <- wrt source file 2025-08-26T19:58:35.9479869Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-08-26T19:58:35.9483115Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-08-26T19:58:35.9486367Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-08-26T19:58:35.9489438Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 35 <- wrt source file 2025-08-26T19:58:35.9492690Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-08-26T19:58:35.9495790Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-08-26T19:58:35.9499022Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-08-26T19:58:35.9502125Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-08-26T19:58:35.9506074Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0 2025-08-26T19:58:35.9509213Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 73 <- wrt source file 2025-08-26T19:58:35.9512309Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0 2025-08-26T19:58:35.9515361Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file 2025-08-26T19:58:35.9518424Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0 2025-08-26T19:58:35.9521725Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file 2025-08-26T19:58:35.9524927Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-08-26T19:58:35.9527970Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-08-26T19:58:35.9531001Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-08-26T19:58:35.9566161Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-08-26T19:58:35.9569200Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-08-26T19:58:35.9572038Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-08-26T19:58:35.9576701Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-08-26T19:58:35.9579511Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-08-26T19:58:35.9582411Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-08-26T19:58:35.9585288Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 216 <- wrt source file 2025-08-26T19:58:35.9588240Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-08-26T19:58:35.9591154Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 314 <- wrt source file 2025-08-26T19:58:35.9594486Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-08-26T19:58:35.9597406Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 362 <- wrt source file 2025-08-26T19:58:35.9600379Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-08-26T19:58:35.9603284Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 394 <- wrt source file 2025-08-26T19:58:35.9606256Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-08-26T19:58:35.9609309Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 441 <- wrt source file 2025-08-26T19:58:35.9612286Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-08-26T19:58:35.9615258Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 480 <- wrt source file 2025-08-26T19:58:35.9618301Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-08-26T19:58:35.9621325Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 533 <- wrt source file 2025-08-26T19:58:35.9624409Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-08-26T19:58:35.9627385Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 599 <- wrt source file 2025-08-26T19:58:35.9630322Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2025-08-26T19:58:35.9633273Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 648 <- wrt source file 2025-08-26T19:58:35.9636254Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2025-08-26T19:58:35.9639140Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 811 <- wrt source file 2025-08-26T19:58:35.9642061Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-08-26T19:58:35.9644993Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 878 <- wrt source file 2025-08-26T19:58:35.9648025Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-08-26T19:58:35.9650989Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 989 <- wrt source file 2025-08-26T19:58:35.9653995Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-08-26T19:58:35.9657364Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1063 <- wrt source file 2025-08-26T19:58:35.9660955Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-08-26T19:58:35.9664339Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1084 <- wrt source file 2025-08-26T19:58:35.9667723Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-08-26T19:58:35.9670932Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1108 <- wrt source file 2025-08-26T19:58:35.9674223Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-08-26T19:58:35.9677228Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1154 <- wrt source file 2025-08-26T19:58:35.9680160Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-08-26T19:58:35.9681662Z ============ 2025-08-26T19:58:35.9682173Z Finished doctests 2025-08-26T19:58:35.9682609Z 338 / 731 passed 2025-08-26T19:58:35.9683066Z  2025-08-26T19:58:35.9683610Z === Found 146 parse-time warnings === 2025-08-26T19:58:35.9684427Z --- Parse Warning: 1 / 146 --- 2025-08-26T19:58:35.9686645Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Tensor.dim_order in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py line=1493. 2025-08-26T19:58:35.9689149Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:35.9690074Z 2025-08-26T19:58:35.9690492Z dim_order(ambiguity_check=False) -> tuple 2025-08-26T19:58:35.9691108Z 2025-08-26T19:58:35.9691776Z Returns the uniquely determined tuple of int describing the dim order or 2025-08-26T19:58:35.9692691Z physical layout of :attr:`self`. 2025-08-26T19:58:35.9693232Z 2025-08-26T19:58:35.9693947Z The dim order represents how dimensions are laid out in memory of dense tensors, 2025-08-26T19:58:35.9695034Z starting from the outermost to the innermost dimension. 2025-08-26T19:58:35.9695750Z 2025-08-26T19:58:35.9696299Z Note that the dim order may not always be uniquely determined. 2025-08-26T19:58:35.9697681Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined; 2025-08-26T19:58:35.9699517Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted 2025-08-26T19:58:35.9701076Z into exactly one of the given memory formats, or it cannot be uniquely determined. 2025-08-26T19:58:35.9702456Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness. 2025-08-26T19:58:35.9703562Z Otherwise, it will raise TypeError. 2025-08-26T19:58:35.9704145Z 2025-08-26T19:58:35.9704516Z Args: 2025-08-26T19:58:35.9705379Z ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order. 2025-08-26T19:58:35.9706408Z 2025-08-26T19:58:35.9706792Z Examples:: 2025-08-26T19:58:35.9707197Z 2025-08-26T19:58:35.9707603Z >>> torch.empty((2, 3, 5, 7)).dim_order() 2025-08-26T19:58:35.9708206Z (0, 1, 2, 3) 2025-08-26T19:58:35.9708769Z >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order() 2025-08-26T19:58:35.9709535Z (0, 2, 1, 3) 2025-08-26T19:58:35.9710253Z >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order() 2025-08-26T19:58:35.9711044Z (0, 2, 3, 1) 2025-08-26T19:58:35.9711524Z >>> torch.empty((1, 2, 3, 4)).dim_order() 2025-08-26T19:58:35.9712129Z (0, 1, 2, 3) 2025-08-26T19:58:35.9712564Z >>> try: 2025-08-26T19:58:35.9713192Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True) 2025-08-26T19:58:35.9713969Z ... except RuntimeError as e: 2025-08-26T19:58:35.9714551Z ... print(e) 2025-08-26T19:58:35.9715476Z The tensor does not have unique dim order, or cannot map to exact one of the given memory formats. 2025-08-26T19:58:35.9716537Z >>> torch.empty((1, 2, 3, 4)).dim_order( 2025-08-26T19:58:35.9717384Z ... ambiguity_check=[torch.contiguous_format, torch.channels_last] 2025-08-26T19:58:35.9718274Z ... ) # It can be mapped to contiguous format 2025-08-26T19:58:35.9718919Z (0, 1, 2, 3) 2025-08-26T19:58:35.9719418Z >>> try: 2025-08-26T19:58:35.9720021Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL") 2025-08-26T19:58:35.9720810Z ... except TypeError as e: 2025-08-26T19:58:35.9721368Z ... print(e) 2025-08-26T19:58:35.9722114Z The ambiguity_check argument must be a bool or a list of memory formats. 2025-08-26T19:58:35.9722976Z 2025-08-26T19:58:35.9723349Z .. warning:: 2025-08-26T19:58:35.9723987Z The dim_order tensor API is experimental and subject to change. 2025-08-26T19:58:35.9724742Z 2025-08-26T19:58:35.9725445Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:35.9726333Z 2025-08-26T19:58:35.9726717Z warnings.warn(msg) 2025-08-26T19:58:35.9727173Z 2025-08-26T19:58:35.9727759Z --- Parse Warning: 2 / 146 --- 2025-08-26T19:58:35.9729925Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=meshgrid in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=397. 2025-08-26T19:58:35.9732350Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:35.9733587Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors. 2025-08-26T19:58:35.9734446Z 2025-08-26T19:58:35.9734986Z This is helpful when you want to visualize data over some 2025-08-26T19:58:35.9735855Z range of inputs. See below for a plotting example. 2025-08-26T19:58:35.9736538Z 2025-08-26T19:58:35.9737039Z Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as 2025-08-26T19:58:35.9737945Z inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`, 2025-08-26T19:58:35.9738915Z this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots 2025-08-26T19:58:35.9739820Z G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where 2025-08-26T19:58:35.9740704Z the output :math:`G_i` is constructed by expanding :math:`T_i` 2025-08-26T19:58:35.9741504Z to the result shape. 2025-08-26T19:58:35.9742024Z 2025-08-26T19:58:35.9742399Z .. note:: 2025-08-26T19:58:35.9742967Z 0D inputs are treated equivalently to 1D inputs of a 2025-08-26T19:58:35.9743693Z single element. 2025-08-26T19:58:35.9744197Z 2025-08-26T19:58:35.9744585Z .. warning:: 2025-08-26T19:58:35.9745266Z `torch.meshgrid(*tensors)` currently has the same behavior 2025-08-26T19:58:35.9746149Z as calling `numpy.meshgrid(*arrays, indexing='ij')`. 2025-08-26T19:58:35.9746847Z 2025-08-26T19:58:35.9747347Z In the future `torch.meshgrid` will transition to 2025-08-26T19:58:35.9748068Z `indexing='xy'` as the default. 2025-08-26T19:58:35.9748648Z 2025-08-26T19:58:35.9749203Z https://github.com/pytorch/pytorch/issues/50276 tracks 2025-08-26T19:58:35.9750247Z this issue with the goal of migrating to NumPy's behavior. 2025-08-26T19:58:35.9750993Z 2025-08-26T19:58:35.9751357Z .. seealso:: 2025-08-26T19:58:35.9751820Z 2025-08-26T19:58:35.9752351Z :func:`torch.cartesian_prod` has the same effect but it 2025-08-26T19:58:35.9753269Z collects the data in a tensor of vectors. 2025-08-26T19:58:35.9753893Z 2025-08-26T19:58:35.9754262Z Args: 2025-08-26T19:58:35.9755148Z tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be 2025-08-26T19:58:35.9756213Z treated as tensors of size :math:`(1,)` automatically 2025-08-26T19:58:35.9756901Z 2025-08-26T19:58:35.9757450Z indexing: (str, optional): the indexing mode, either "xy" 2025-08-26T19:58:35.9758348Z or "ij", defaults to "ij". See warning for future changes. 2025-08-26T19:58:35.9759067Z 2025-08-26T19:58:35.9759713Z If "xy" is selected, the first dimension corresponds 2025-08-26T19:58:35.9760568Z to the cardinality of the second input and the second 2025-08-26T19:58:35.9761450Z dimension corresponds to the cardinality of the first 2025-08-26T19:58:35.9762191Z input. 2025-08-26T19:58:35.9762642Z 2025-08-26T19:58:35.9763128Z If "ij" is selected, the dimensions are in the same 2025-08-26T19:58:35.9763885Z order as the cardinality of the inputs. 2025-08-26T19:58:35.9764519Z 2025-08-26T19:58:35.9764876Z Returns: 2025-08-26T19:58:35.9765453Z seq (sequence of Tensors): If the input has :math:`N` 2025-08-26T19:58:35.9766294Z tensors of size :math:`S_0 \ldots S_{N-1}``, then the 2025-08-26T19:58:35.9767176Z output will also have :math:`N` tensors, where each tensor 2025-08-26T19:58:35.9767997Z is of shape :math:`(S_0, ..., S_{N-1})`. 2025-08-26T19:58:35.9768606Z 2025-08-26T19:58:35.9768992Z Example:: 2025-08-26T19:58:35.9769432Z 2025-08-26T19:58:35.9769844Z >>> x = torch.tensor([1, 2, 3]) 2025-08-26T19:58:35.9770466Z >>> y = torch.tensor([4, 5, 6]) 2025-08-26T19:58:35.9771050Z 2025-08-26T19:58:35.9771620Z Observe the element-wise pairings across the grid, (1, 4), 2025-08-26T19:58:35.9772471Z (1, 5), ..., (3, 6). This is the same thing as the 2025-08-26T19:58:35.9773129Z cartesian product. 2025-08-26T19:58:35.9773808Z >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij') 2025-08-26T19:58:35.9774524Z >>> grid_x 2025-08-26T19:58:35.9775014Z tensor([[1, 1, 1], 2025-08-26T19:58:35.9775532Z [2, 2, 2], 2025-08-26T19:58:35.9776060Z [3, 3, 3]]) 2025-08-26T19:58:35.9776594Z >>> grid_y 2025-08-26T19:58:35.9777096Z tensor([[4, 5, 6], 2025-08-26T19:58:35.9777619Z [4, 5, 6], 2025-08-26T19:58:35.9778145Z [4, 5, 6]]) 2025-08-26T19:58:35.9778664Z 2025-08-26T19:58:35.9779188Z This correspondence can be seen when these grids are 2025-08-26T19:58:35.9779912Z stacked properly. 2025-08-26T19:58:35.9780660Z >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))), 2025-08-26T19:58:35.9781515Z ... torch.cartesian_prod(x, y)) 2025-08-26T19:58:35.9782149Z True 2025-08-26T19:58:35.9782557Z 2025-08-26T19:58:35.9783094Z `torch.meshgrid` is commonly used to produce a grid for 2025-08-26T19:58:35.9783834Z plotting. 2025-08-26T19:58:35.9784386Z >>> # xdoctest: +REQUIRES(module:matplotlib) 2025-08-26T19:58:35.9785087Z >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW) 2025-08-26T19:58:35.9785886Z >>> import matplotlib.pyplot as plt 2025-08-26T19:58:35.9786638Z >>> xs = torch.linspace(-5, 5, steps=100) 2025-08-26T19:58:35.9787323Z >>> ys = torch.linspace(-5, 5, steps=100) 2025-08-26T19:58:35.9788022Z >>> x, y = torch.meshgrid(xs, ys, indexing='xy') 2025-08-26T19:58:35.9788751Z >>> z = torch.sin(torch.sqrt(x * x + y * y)) 2025-08-26T19:58:35.9789440Z >>> ax = plt.axes(projection='3d') 2025-08-26T19:58:35.9790172Z >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy()) 2025-08-26T19:58:35.9790875Z >>> plt.show() 2025-08-26T19:58:35.9791305Z 2025-08-26T19:58:35.9791740Z .. image:: ../_static/img/meshgrid.png 2025-08-26T19:58:35.9792370Z :width: 512 2025-08-26T19:58:35.9792850Z 2025-08-26T19:58:35.9793249Z 2025-08-26T19:58:35.9793982Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:35.9794881Z 2025-08-26T19:58:35.9795364Z warnings.warn(msg) 2025-08-26T19:58:35.9795818Z 2025-08-26T19:58:35.9796416Z --- Parse Warning: 3 / 146 --- 2025-08-26T19:58:35.9798594Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_unique_impl in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=793. 2025-08-26T19:58:35.9801011Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:35.9802525Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor] 2025-08-26T19:58:35.9803694Z 2025-08-26T19:58:35.9804207Z Returns the unique elements of the input tensor. 2025-08-26T19:58:35.9804880Z 2025-08-26T19:58:35.9805664Z .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that 2025-08-26T19:58:35.9806889Z this function also eliminates non-consecutive duplicate values. 2025-08-26T19:58:35.9807686Z 2025-08-26T19:58:35.9808341Z .. note:: Currently in the CUDA implementation and the CPU implementation, 2025-08-26T19:58:35.9809609Z `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument. 2025-08-26T19:58:35.9810970Z Sorting could be slow, so if your input tensor is already sorted, it is recommended to use 2025-08-26T19:58:35.9812121Z :func:`torch.unique_consecutive` which avoids the sorting. 2025-08-26T19:58:35.9812847Z 2025-08-26T19:58:35.9813216Z Args: 2025-08-26T19:58:35.9813654Z input (Tensor): the input tensor 2025-08-26T19:58:35.9814505Z sorted (bool): Whether to sort the unique elements in ascending order 2025-08-26T19:58:35.9815376Z before returning as output. 2025-08-26T19:58:35.9816204Z return_inverse (bool): Whether to also return the indices for where 2025-08-26T19:58:35.9817296Z elements in the original input ended up in the returned unique list. 2025-08-26T19:58:35.9818419Z return_counts (bool): Whether to also return the counts for each unique 2025-08-26T19:58:35.9819257Z element. 2025-08-26T19:58:35.9819958Z dim (int, optional): the dimension to operate upon. If ``None``, the 2025-08-26T19:58:35.9820999Z unique of the flattened input is returned. Otherwise, each of the 2025-08-26T19:58:35.9822010Z tensors indexed by the given dimension is treated as one of the 2025-08-26T19:58:35.9823065Z elements to apply the unique operation upon. See examples for more 2025-08-26T19:58:35.9823923Z details. Default: ``None`` 2025-08-26T19:58:35.9824487Z 2025-08-26T19:58:35.9824838Z Returns: 2025-08-26T19:58:35.9825648Z (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing 2025-08-26T19:58:35.9826677Z 2025-08-26T19:58:35.9827254Z - **output** (*Tensor*): the output list of unique scalar elements. 2025-08-26T19:58:35.9828179Z - **inverse_indices** (*Tensor*): (optional) if 2025-08-26T19:58:35.9829004Z :attr:`return_inverse` is True, there will be an additional 2025-08-26T19:58:35.9829986Z returned tensor (same shape as input) representing the indices 2025-08-26T19:58:35.9831003Z for where elements in the original input map to in the output; 2025-08-26T19:58:35.9831988Z otherwise, this function will only return a single tensor. 2025-08-26T19:58:35.9832806Z - **counts** (*Tensor*): (optional) if 2025-08-26T19:58:35.9833644Z :attr:`return_counts` is True, there will be an additional 2025-08-26T19:58:35.9834591Z returned tensor (same shape as output or output.size(dim), 2025-08-26T19:58:35.9835554Z if dim was specified) representing the number of occurrences 2025-08-26T19:58:35.9836458Z for each unique value or tensor. 2025-08-26T19:58:35.9837047Z 2025-08-26T19:58:35.9837429Z Example:: 2025-08-26T19:58:35.9837841Z 2025-08-26T19:58:35.9838464Z >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long)) 2025-08-26T19:58:35.9839274Z >>> output 2025-08-26T19:58:35.9839731Z tensor([1, 2, 3]) 2025-08-26T19:58:35.9840228Z 2025-08-26T19:58:35.9840675Z >>> output, inverse_indices = torch.unique( 2025-08-26T19:58:35.9841583Z ... torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True) 2025-08-26T19:58:35.9842455Z >>> output 2025-08-26T19:58:35.9842919Z tensor([1, 2, 3]) 2025-08-26T19:58:35.9843442Z >>> inverse_indices 2025-08-26T19:58:35.9843947Z tensor([0, 2, 1, 2]) 2025-08-26T19:58:35.9844453Z 2025-08-26T19:58:35.9844903Z >>> output, inverse_indices = torch.unique( 2025-08-26T19:58:35.9845838Z ... torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True) 2025-08-26T19:58:35.9846686Z >>> output 2025-08-26T19:58:35.9847153Z tensor([1, 2, 3]) 2025-08-26T19:58:35.9847678Z >>> inverse_indices 2025-08-26T19:58:35.9848202Z tensor([[0, 2], 2025-08-26T19:58:35.9848681Z [1, 2]]) 2025-08-26T19:58:35.9849162Z 2025-08-26T19:58:35.9849550Z >>> a = torch.tensor([ 2025-08-26T19:58:35.9850086Z ... [ 2025-08-26T19:58:35.9850518Z ... [1, 1, 0, 0], 2025-08-26T19:58:35.9851067Z ... [1, 1, 0, 0], 2025-08-26T19:58:35.9851611Z ... [0, 0, 1, 1], 2025-08-26T19:58:35.9852149Z ... ], 2025-08-26T19:58:35.9852579Z ... [ 2025-08-26T19:58:35.9853031Z ... [0, 0, 1, 1], 2025-08-26T19:58:35.9853579Z ... [0, 0, 1, 1], 2025-08-26T19:58:35.9854125Z ... [1, 1, 1, 1], 2025-08-26T19:58:35.9854781Z ... ], 2025-08-26T19:58:35.9855229Z ... [ 2025-08-26T19:58:35.9855674Z ... [1, 1, 0, 0], 2025-08-26T19:58:35.9856217Z ... [1, 1, 0, 0], 2025-08-26T19:58:35.9856740Z ... [0, 0, 1, 1], 2025-08-26T19:58:35.9857272Z ... ], 2025-08-26T19:58:35.9857715Z ... ]) 2025-08-26T19:58:35.9858128Z 2025-08-26T19:58:35.9858726Z >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]` 2025-08-26T19:58:35.9859778Z >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match 2025-08-26T19:58:35.9860671Z >>> # each other, so one of them will be removed. 2025-08-26T19:58:35.9861355Z >>> (a[0, :, :] == a[2, :, :]).all() 2025-08-26T19:58:35.9861926Z tensor(True) 2025-08-26T19:58:35.9862576Z >>> a_unique_dim0 = torch.unique(a, dim=0) 2025-08-26T19:58:35.9863277Z >>> a_unique_dim0 2025-08-26T19:58:35.9863795Z tensor([[[0, 0, 1, 1], 2025-08-26T19:58:35.9864316Z [0, 0, 1, 1], 2025-08-26T19:58:35.9864848Z [1, 1, 1, 1]], 2025-08-26T19:58:35.9865382Z [[1, 1, 0, 0], 2025-08-26T19:58:35.9865914Z [1, 1, 0, 0], 2025-08-26T19:58:35.9866423Z [0, 0, 1, 1]]]) 2025-08-26T19:58:35.9866947Z 2025-08-26T19:58:35.9867572Z >>> # Notice which sub-tensors from `a` match with the sub-tensors from 2025-08-26T19:58:35.9868411Z >>> # `a_unique_dim0`: 2025-08-26T19:58:35.9868998Z >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all() 2025-08-26T19:58:35.9869636Z tensor(True) 2025-08-26T19:58:35.9870166Z >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all() 2025-08-26T19:58:35.9870805Z tensor(True) 2025-08-26T19:58:35.9871266Z 2025-08-26T19:58:35.9872024Z >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are 2025-08-26T19:58:35.9873016Z >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of 2025-08-26T19:58:35.9873865Z >>> # them will be removed. 2025-08-26T19:58:35.9874466Z >>> (a[:, 0, :] == a[:, 1, :]).all() 2025-08-26T19:58:35.9875041Z tensor(True) 2025-08-26T19:58:35.9875551Z >>> torch.unique(a, dim=1) 2025-08-26T19:58:35.9876136Z tensor([[[0, 0, 1, 1], 2025-08-26T19:58:35.9876679Z [1, 1, 0, 0]], 2025-08-26T19:58:35.9877196Z [[1, 1, 1, 1], 2025-08-26T19:58:35.9877731Z [0, 0, 1, 1]], 2025-08-26T19:58:35.9878272Z [[0, 0, 1, 1], 2025-08-26T19:58:35.9878797Z [1, 1, 0, 0]]]) 2025-08-26T19:58:35.9879311Z 2025-08-26T19:58:35.9879923Z >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared. 2025-08-26T19:58:35.9880888Z >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and 2025-08-26T19:58:35.9881757Z >>> # `a[:, :, 3]` match each other as well. So in this case, two of the 2025-08-26T19:58:35.9882545Z >>> # sub-tensors will be removed. 2025-08-26T19:58:35.9883176Z >>> (a[:, :, 0] == a[:, :, 1]).all() 2025-08-26T19:58:35.9883766Z tensor(True) 2025-08-26T19:58:35.9884261Z >>> (a[:, :, 2] == a[:, :, 3]).all() 2025-08-26T19:58:35.9884842Z tensor(True) 2025-08-26T19:58:35.9885354Z >>> torch.unique(a, dim=2) 2025-08-26T19:58:35.9885928Z tensor([[[0, 1], 2025-08-26T19:58:35.9886428Z [0, 1], 2025-08-26T19:58:35.9886899Z [1, 0]], 2025-08-26T19:58:35.9887387Z [[1, 0], 2025-08-26T19:58:35.9887870Z [1, 0], 2025-08-26T19:58:35.9888352Z [1, 1]], 2025-08-26T19:58:35.9888833Z [[0, 1], 2025-08-26T19:58:35.9889322Z [0, 1], 2025-08-26T19:58:35.9889803Z [1, 0]]]) 2025-08-26T19:58:35.9890289Z 2025-08-26T19:58:35.9890980Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:35.9891875Z 2025-08-26T19:58:35.9892258Z warnings.warn(msg) 2025-08-26T19:58:35.9892726Z 2025-08-26T19:58:35.9893315Z --- Parse Warning: 4 / 146 --- 2025-08-26T19:58:35.9895368Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=565. 2025-08-26T19:58:35.9897715Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:35.9898630Z 2025-08-26T19:58:35.9899142Z Load a model from a github repo or a local directory. 2025-08-26T19:58:35.9899810Z 2025-08-26T19:58:35.9900561Z Note: Loading a model is the typical use case, but this can also be used to 2025-08-26T19:58:35.9901762Z for loading other objects such as tokenizers, loss functions, etc. 2025-08-26T19:58:35.9902560Z 2025-08-26T19:58:35.9903069Z If ``source`` is 'github', ``repo_or_dir`` is expected to be 2025-08-26T19:58:35.9903947Z of the form ``repo_owner/repo_name[:ref]`` with an optional 2025-08-26T19:58:35.9904691Z ref (a tag or a branch). 2025-08-26T19:58:35.9905189Z 2025-08-26T19:58:35.9905692Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a 2025-08-26T19:58:35.9906442Z path to a local directory. 2025-08-26T19:58:35.9906948Z 2025-08-26T19:58:35.9907317Z Args: 2025-08-26T19:58:35.9907779Z repo_or_dir (str): If ``source`` is 'github', 2025-08-26T19:58:35.9908806Z this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with 2025-08-26T19:58:35.9910201Z an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified, 2025-08-26T19:58:35.9911626Z the default branch is assumed to be ``main`` if it exists, and otherwise ``master``. 2025-08-26T19:58:35.9912755Z If ``source`` is 'local' then it should be a path to a local directory. 2025-08-26T19:58:35.9913818Z model (str): the name of a callable (entrypoint) defined in the 2025-08-26T19:58:35.9914618Z repo/dir's ``hubconf.py``. 2025-08-26T19:58:35.9915393Z *args (optional): the corresponding args for callable ``model``. 2025-08-26T19:58:35.9916353Z source (str, optional): 'github' or 'local'. Specifies how 2025-08-26T19:58:35.9917220Z ``repo_or_dir`` is to be interpreted. Default is 'github'. 2025-08-26T19:58:35.9918172Z trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``. 2025-08-26T19:58:35.9919264Z This parameter was introduced in v1.12 and helps ensuring that users 2025-08-26T19:58:35.9920174Z only run code from repos that they trust. 2025-08-26T19:58:35.9920801Z 2025-08-26T19:58:35.9921359Z - If ``False``, a prompt will ask the user whether the repo should 2025-08-26T19:58:35.9922139Z be trusted. 2025-08-26T19:58:35.9922801Z - If ``True``, the repo will be added to the trusted list and loaded 2025-08-26T19:58:35.9923668Z without requiring explicit confirmation. 2025-08-26T19:58:35.9924454Z - If ``"check"``, the repo will be checked against the list of 2025-08-26T19:58:35.9925408Z trusted repos in the cache. If it is not present in that list, the 2025-08-26T19:58:35.9926432Z behaviour will fall back onto the ``trust_repo=False`` option. 2025-08-26T19:58:35.9927386Z - If ``None``: this will raise a warning, inviting the user to set 2025-08-26T19:58:35.9928320Z ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This 2025-08-26T19:58:35.9929307Z is only present for backward compatibility and will be removed in 2025-08-26T19:58:35.9930121Z v2.0. 2025-08-26T19:58:35.9930536Z 2025-08-26T19:58:35.9931106Z Default is ``None`` and will eventually change to ``"check"`` in v2.0. 2025-08-26T19:58:35.9932158Z force_reload (bool, optional): whether to force a fresh download of 2025-08-26T19:58:35.9933177Z the github repo unconditionally. Does not have any effect if 2025-08-26T19:58:35.9934022Z ``source = 'local'``. Default is ``False``. 2025-08-26T19:58:35.9934875Z verbose (bool, optional): If ``False``, mute messages about hitting 2025-08-26T19:58:35.9935892Z local caches. Note that the message about first download cannot be 2025-08-26T19:58:35.9936857Z muted. Does not have any effect if ``source = 'local'``. 2025-08-26T19:58:35.9937595Z Default is ``True``. 2025-08-26T19:58:35.9938528Z skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit 2025-08-26T19:58:35.9940000Z specified by the ``github`` argument properly belongs to the repo owner. This will make 2025-08-26T19:58:35.9941335Z requests to the GitHub API; you can specify a non-default GitHub token by setting the 2025-08-26T19:58:35.9942463Z ``GITHUB_TOKEN`` environment variable. Default is ``False``. 2025-08-26T19:58:35.9943461Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2025-08-26T19:58:35.9944278Z 2025-08-26T19:58:35.9944629Z Returns: 2025-08-26T19:58:35.9945227Z The output of the ``model`` callable when called with the given 2025-08-26T19:58:35.9946014Z ``*args`` and ``**kwargs``. 2025-08-26T19:58:35.9946543Z 2025-08-26T19:58:35.9946888Z Example: 2025-08-26T19:58:35.9947376Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-08-26T19:58:35.9948031Z >>> # from a github repo 2025-08-26T19:58:35.9948564Z >>> repo = "pytorch/vision" 2025-08-26T19:58:35.9949131Z >>> model = torch.hub.load( 2025-08-26T19:58:35.9949935Z ... repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1" 2025-08-26T19:58:35.9950678Z ... ) 2025-08-26T19:58:35.9951099Z >>> # from a local directory 2025-08-26T19:58:35.9951765Z >>> path = "/some/local/path/pytorch/vision" 2025-08-26T19:58:35.9952420Z >>> # xdoctest: +SKIP 2025-08-26T19:58:35.9953277Z >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT") 2025-08-26T19:58:35.9954149Z 2025-08-26T19:58:35.9955003Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:35.9955900Z 2025-08-26T19:58:35.9956284Z warnings.warn(msg) 2025-08-26T19:58:35.9956758Z 2025-08-26T19:58:35.9957336Z --- Parse Warning: 5 / 146 --- 2025-08-26T19:58:35.9959454Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_load_local in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=657. 2025-08-26T19:58:35.9961854Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:35.9962772Z 2025-08-26T19:58:35.9963292Z Load a model from a local directory with a ``hubconf.py``. 2025-08-26T19:58:35.9964011Z 2025-08-26T19:58:35.9964372Z Args: 2025-08-26T19:58:35.9964946Z hubconf_dir (str): path to a local directory that contains a 2025-08-26T19:58:35.9965701Z ``hubconf.py``. 2025-08-26T19:58:35.9966375Z model (str): name of an entrypoint defined in the directory's 2025-08-26T19:58:35.9967129Z ``hubconf.py``. 2025-08-26T19:58:35.9967836Z *args (optional): the corresponding args for callable ``model``. 2025-08-26T19:58:35.9968869Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2025-08-26T19:58:35.9969654Z 2025-08-26T19:58:35.9970022Z Returns: 2025-08-26T19:58:35.9970587Z a single model with corresponding pretrained weights. 2025-08-26T19:58:35.9971295Z 2025-08-26T19:58:35.9971644Z Example: 2025-08-26T19:58:35.9972101Z >>> # xdoctest: +SKIP("stub local path") 2025-08-26T19:58:35.9972833Z >>> path = "/some/local/path/pytorch/vision" 2025-08-26T19:58:35.9973474Z >>> model = _load_local( 2025-08-26T19:58:35.9974002Z ... path, 2025-08-26T19:58:35.9974459Z ... "resnet50", 2025-08-26T19:58:35.9975047Z ... weights="ResNet50_Weights.IMAGENET1K_V1", 2025-08-26T19:58:35.9975678Z ... ) 2025-08-26T19:58:35.9976072Z 2025-08-26T19:58:35.9976775Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:35.9977675Z 2025-08-26T19:58:35.9978051Z warnings.warn(msg) 2025-08-26T19:58:35.9978524Z 2025-08-26T19:58:35.9979119Z --- Parse Warning: 6 / 146 --- 2025-08-26T19:58:35.9981324Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=download_url_to_file in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=696. 2025-08-26T19:58:35.9983983Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:35.9985025Z Download object at the given URL to a local path. 2025-08-26T19:58:35.9985696Z 2025-08-26T19:58:35.9986067Z Args: 2025-08-26T19:58:35.9986537Z url (str): URL of the object to download 2025-08-26T19:58:35.9987437Z dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file`` 2025-08-26T19:58:35.9988788Z hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``. 2025-08-26T19:58:35.9989858Z Default: None 2025-08-26T19:58:35.9990694Z progress (bool, optional): whether or not to display a progress bar to stderr 2025-08-26T19:58:35.9991621Z Default: True 2025-08-26T19:58:35.9992107Z 2025-08-26T19:58:35.9992585Z Example: 2025-08-26T19:58:35.9993169Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-08-26T19:58:35.9993859Z >>> # xdoctest: +REQUIRES(POSIX) 2025-08-26T19:58:35.9994513Z >>> torch.hub.download_url_to_file( 2025-08-26T19:58:35.9995386Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth", 2025-08-26T19:58:35.9996250Z ... "/tmp/temporary_file", 2025-08-26T19:58:35.9996824Z ... ) 2025-08-26T19:58:35.9997214Z 2025-08-26T19:58:35.9997570Z 2025-08-26T19:58:35.9998272Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:35.9999163Z 2025-08-26T19:58:35.9999532Z warnings.warn(msg) 2025-08-26T19:58:36.0000007Z 2025-08-26T19:58:36.0000566Z --- Parse Warning: 7 / 146 --- 2025-08-26T19:58:36.0002774Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_state_dict_from_url in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=821. 2025-08-26T19:58:36.0005309Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0006351Z Loads the Torch serialized object at the given URL. 2025-08-26T19:58:36.0007017Z 2025-08-26T19:58:36.0007564Z If downloaded file is a zip file, it will be automatically 2025-08-26T19:58:36.0008315Z decompressed. 2025-08-26T19:58:36.0008747Z 2025-08-26T19:58:36.0009380Z If the object is already present in `model_dir`, it's deserialized and 2025-08-26T19:58:36.0010215Z returned. 2025-08-26T19:58:36.0010881Z The default value of ``model_dir`` is ``/checkpoints`` where 2025-08-26T19:58:36.0011902Z ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`. 2025-08-26T19:58:36.0012677Z 2025-08-26T19:58:36.0013045Z Args: 2025-08-26T19:58:36.0013538Z url (str): URL of the object to download 2025-08-26T19:58:36.0014362Z model_dir (str, optional): directory in which to save the object 2025-08-26T19:58:36.0015680Z map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load) 2025-08-26T19:58:36.0017130Z progress (bool, optional): whether or not to display a progress bar to stderr. 2025-08-26T19:58:36.0018059Z Default: True 2025-08-26T19:58:36.0019046Z check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention 2025-08-26T19:58:36.0020338Z ``filename-.ext`` where ```` is the first eight or more 2025-08-26T19:58:36.0021447Z digits of the SHA256 hash of the contents of the file. The hash is used to 2025-08-26T19:58:36.0022508Z ensure unique names and to verify the contents of the file. 2025-08-26T19:58:36.0023377Z Default: False 2025-08-26T19:58:36.0024433Z file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set. 2025-08-26T19:58:36.0025988Z weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects. 2025-08-26T19:58:36.0027391Z Recommended for untrusted sources. See :func:`~torch.load` for more details. 2025-08-26T19:58:36.0028305Z 2025-08-26T19:58:36.0028685Z Example: 2025-08-26T19:58:36.0029184Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-08-26T19:58:36.0029965Z >>> state_dict = torch.hub.load_state_dict_from_url( 2025-08-26T19:58:36.0030894Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth" 2025-08-26T19:58:36.0031710Z ... ) 2025-08-26T19:58:36.0032107Z 2025-08-26T19:58:36.0032478Z 2025-08-26T19:58:36.0033252Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0034157Z 2025-08-26T19:58:36.0034617Z warnings.warn(msg) 2025-08-26T19:58:36.0035087Z 2025-08-26T19:58:36.0035652Z --- Parse Warning: 8 / 146 --- 2025-08-26T19:58:36.0037859Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=375. 2025-08-26T19:58:36.0040308Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:36.0041540Z Registers the function implementation as the fallback for the given key. 2025-08-26T19:58:36.0042418Z 2025-08-26T19:58:36.0043040Z This function only works for a library with global namespace ("_"). 2025-08-26T19:58:36.0043845Z 2025-08-26T19:58:36.0044210Z Args: 2025-08-26T19:58:36.0045010Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-08-26T19:58:36.0046033Z to register a fallthrough. 2025-08-26T19:58:36.0047121Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-08-26T19:58:36.0048313Z the dispatch key that the library was created with. 2025-08-26T19:58:36.0049617Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-08-26T19:58:36.0051232Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-08-26T19:58:36.0052277Z 2025-08-26T19:58:36.0052654Z Example:: 2025-08-26T19:58:36.0053092Z 2025-08-26T19:58:36.0053548Z >>> my_lib = Library("_", "IMPL") 2025-08-26T19:58:36.0054233Z >>> def fallback_kernel(op, *args, **kwargs): 2025-08-26T19:58:36.0055101Z >>> # Handle all autocast ops generically 2025-08-26T19:58:36.0055742Z >>> # ... 2025-08-26T19:58:36.0056339Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-08-26T19:58:36.0057011Z 2025-08-26T19:58:36.0058530Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-08-26T19:58:36.0060194Z 2025-08-26T19:58:36.0060654Z my_lib.fallback(fallback_kernel, "Autocast") 2025-08-26T19:58:36.0061287Z ^ 2025-08-26T19:58:36.0061680Z warnings.warn(msg) 2025-08-26T19:58:36.0062132Z 2025-08-26T19:58:36.0062692Z --- Parse Warning: 9 / 146 --- 2025-08-26T19:58:36.0064859Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=948. 2025-08-26T19:58:36.0067420Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:36.0068663Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-08-26T19:58:36.0069495Z 2025-08-26T19:58:36.0070043Z Also sometimes known as a "meta kernel", "abstract impl". 2025-08-26T19:58:36.0070782Z 2025-08-26T19:58:36.0071468Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-08-26T19:58:36.0072614Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-08-26T19:58:36.0073801Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-08-26T19:58:36.0074759Z what the properties of the output Tensors are. 2025-08-26T19:58:36.0075419Z 2025-08-26T19:58:36.0076065Z The FakeTensor implementation has the same signature as the operator. 2025-08-26T19:58:36.0077238Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-08-26T19:58:36.0078414Z implementation, assume that all Tensor inputs to the operator are 2025-08-26T19:58:36.0079488Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-08-26T19:58:36.0080503Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-08-26T19:58:36.0081587Z The FakeTensor implementation must consist of only PyTorch operations 2025-08-26T19:58:36.0082646Z (and may not directly access the storage or data of any input or 2025-08-26T19:58:36.0083449Z intermediate Tensors). 2025-08-26T19:58:36.0083963Z 2025-08-26T19:58:36.0084437Z This API may be used as a decorator (see examples). 2025-08-26T19:58:36.0085105Z 2025-08-26T19:58:36.0085569Z For a detailed guide on custom ops, please see 2025-08-26T19:58:36.0086505Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-08-26T19:58:36.0087326Z 2025-08-26T19:58:36.0087691Z Args: 2025-08-26T19:58:36.0088374Z op_name: Operator name (along with the overload) or OpOverload object. 2025-08-26T19:58:36.0089278Z func: Fake tensor implementation. 2025-08-26T19:58:36.0090087Z lib (Optional[Library]): Library to register the fake tensor to. 2025-08-26T19:58:36.0091065Z allow_override: Flag controlling if we want to override an 2025-08-26T19:58:36.0091990Z existing registered fake impl. This is by default off, 2025-08-26T19:58:36.0092903Z and will error you're trying to register a fake impl to 2025-08-26T19:58:36.0093789Z an operator that already has a fake impl. This also only 2025-08-26T19:58:36.0094690Z applies if the custom operator was not created via 2025-08-26T19:58:36.0095605Z torch.library.custom_op, as overriding and existing fake 2025-08-26T19:58:36.0096433Z impl is already allowed. 2025-08-26T19:58:36.0097040Z 2025-08-26T19:58:36.0097395Z Examples: 2025-08-26T19:58:36.0097847Z >>> import torch 2025-08-26T19:58:36.0098374Z >>> import numpy as np 2025-08-26T19:58:36.0098958Z >>> from torch import Tensor 2025-08-26T19:58:36.0099521Z >>> 2025-08-26T19:58:36.0100128Z >>> # Example 1: an operator without data-dependent output shape 2025-08-26T19:58:36.0101154Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-08-26T19:58:36.0102236Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-26T19:58:36.0103233Z >>> raise NotImplementedError("Implementation goes here") 2025-08-26T19:58:36.0103978Z >>> 2025-08-26T19:58:36.0104546Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-08-26T19:58:36.0105329Z >>> def _(x, weight, bias): 2025-08-26T19:58:36.0105907Z >>> assert x.dim() == 2 2025-08-26T19:58:36.0106576Z >>> assert weight.dim() == 2 2025-08-26T19:58:36.0107259Z >>> assert bias.dim() == 1 2025-08-26T19:58:36.0107907Z >>> assert x.shape[1] == weight.shape[1] 2025-08-26T19:58:36.0108614Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-26T19:58:36.0109300Z >>> assert x.device == weight.device 2025-08-26T19:58:36.0109909Z >>> 2025-08-26T19:58:36.0110373Z >>> return (x @ weight.t()) + bias 2025-08-26T19:58:36.0110979Z >>> 2025-08-26T19:58:36.0111531Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-08-26T19:58:36.0112291Z >>> x = torch.randn(2, 3) 2025-08-26T19:58:36.0112907Z >>> w = torch.randn(3, 3) 2025-08-26T19:58:36.0113573Z >>> b = torch.randn(3) 2025-08-26T19:58:36.0114206Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-08-26T19:58:36.0114855Z >>> 2025-08-26T19:58:36.0115298Z >>> assert y.shape == (2, 3) 2025-08-26T19:58:36.0115941Z >>> 2025-08-26T19:58:36.0116498Z >>> # Example 2: an operator with data-dependent output shape 2025-08-26T19:58:36.0117494Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-08-26T19:58:36.0118406Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-08-26T19:58:36.0119082Z >>> x_np = x.numpy(force=True) 2025-08-26T19:58:36.0119743Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-26T19:58:36.0120474Z >>> return torch.tensor(res, device=x.device) 2025-08-26T19:58:36.0121122Z >>> 2025-08-26T19:58:36.0121701Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-08-26T19:58:36.0122434Z >>> def _(x): 2025-08-26T19:58:36.0123005Z >>> # Number of nonzero-elements is data-dependent. 2025-08-26T19:58:36.0123805Z >>> # Since we cannot peek at the data in an fake impl, 2025-08-26T19:58:36.0124636Z >>> # we use the ctx object to construct a new symint that 2025-08-26T19:58:36.0125412Z >>> # represents the data-dependent size. 2025-08-26T19:58:36.0126083Z >>> ctx = torch.library.get_ctx() 2025-08-26T19:58:36.0126744Z >>> nnz = ctx.new_dynamic_size() 2025-08-26T19:58:36.0127369Z >>> shape = [nnz, x.dim()] 2025-08-26T19:58:36.0128062Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-26T19:58:36.0128743Z >>> return result 2025-08-26T19:58:36.0129266Z >>> 2025-08-26T19:58:36.0129852Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-08-26T19:58:36.0130596Z >>> 2025-08-26T19:58:36.0131040Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-08-26T19:58:36.0131955Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-08-26T19:58:36.0132884Z >>> trace.print_readable() 2025-08-26T19:58:36.0133450Z >>> 2025-08-26T19:58:36.0134118Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-08-26T19:58:36.0134949Z 2025-08-26T19:58:36.0135318Z 2025-08-26T19:58:36.0136615Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-08-26T19:58:36.0138082Z 2025-08-26T19:58:36.0138436Z _._ = None 2025-08-26T19:58:36.0138836Z ^ 2025-08-26T19:58:36.0139237Z warnings.warn(msg) 2025-08-26T19:58:36.0139692Z 2025-08-26T19:58:36.0140277Z --- Parse Warning: 10 / 146 --- 2025-08-26T19:58:36.0142521Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_autograd in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1083. 2025-08-26T19:58:36.0145050Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0146244Z Register a backward formula for this custom op. 2025-08-26T19:58:36.0146887Z 2025-08-26T19:58:36.0147484Z In order for an operator to work with autograd, you need to register 2025-08-26T19:58:36.0148306Z a backward formula: 2025-08-26T19:58:36.0149024Z 1. You must tell us how to compute gradients during the backward pass 2025-08-26T19:58:36.0149876Z by providing us a "backward" function. 2025-08-26T19:58:36.0150729Z 2. If you need any values from the forward to compute gradients, you can 2025-08-26T19:58:36.0151649Z use `setup_context` to save values for backward. 2025-08-26T19:58:36.0152294Z 2025-08-26T19:58:36.0152915Z ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``: 2025-08-26T19:58:36.0154028Z - ``grads`` is one or more gradients. The number of gradients matches 2025-08-26T19:58:36.0155044Z the number of outputs of the operator. 2025-08-26T19:58:36.0156035Z The ``ctx`` object is `the same ctx object `_ used by 2025-08-26T19:58:36.0157175Z :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the 2025-08-26T19:58:36.0158166Z same as :meth:`torch.autograd.Function.backward`. 2025-08-26T19:58:36.0158845Z 2025-08-26T19:58:36.0159466Z ``setup_context(ctx, inputs, output)`` runs during the forward pass. 2025-08-26T19:58:36.0160571Z Please save quantities needed for backward onto the ``ctx`` object via 2025-08-26T19:58:36.0161699Z either :meth:`torch.autograd.function.FunctionCtx.save_for_backward` 2025-08-26T19:58:36.0162775Z or assigning them as attributes of ``ctx``. If your custom op has 2025-08-26T19:58:36.0163819Z kwarg-only arguments, we expect the signature of ``setup_context`` 2025-08-26T19:58:36.0164848Z to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``. 2025-08-26T19:58:36.0165620Z 2025-08-26T19:58:36.0166242Z Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is, 2025-08-26T19:58:36.0167357Z they may not directly access :meth:`torch.Tensor.data_ptr` and they must 2025-08-26T19:58:36.0168498Z not depend on or mutate global state. If you need a non-traceable backward, 2025-08-26T19:58:36.0169644Z you can make it a separate custom_op that you call inside ``backward_fn``. 2025-08-26T19:58:36.0170466Z 2025-08-26T19:58:36.0171100Z If you need different autograd behavior on different devices, then we 2025-08-26T19:58:36.0172230Z recommend creating two different custom operators, one for each device 2025-08-26T19:58:36.0173371Z that needs different behavior, and switching between them at runtime. 2025-08-26T19:58:36.0174195Z 2025-08-26T19:58:36.0174571Z Examples: 2025-08-26T19:58:36.0175018Z >>> import torch 2025-08-26T19:58:36.0175554Z >>> import numpy as np 2025-08-26T19:58:36.0176128Z >>> from torch import Tensor 2025-08-26T19:58:36.0176716Z >>> 2025-08-26T19:58:36.0177425Z >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=()) 2025-08-26T19:58:36.0178278Z >>> def numpy_sin(x: Tensor) -> Tensor: 2025-08-26T19:58:36.0178933Z >>> x_np = x.cpu().numpy() 2025-08-26T19:58:36.0179522Z >>> y_np = np.sin(x_np) 2025-08-26T19:58:36.0180220Z >>> return torch.from_numpy(y_np).to(device=x.device) 2025-08-26T19:58:36.0180915Z >>> 2025-08-26T19:58:36.0181455Z >>> def setup_context(ctx, inputs, output) -> Tensor: 2025-08-26T19:58:36.0182138Z >>> x, = inputs 2025-08-26T19:58:36.0182684Z >>> ctx.save_for_backward(x) 2025-08-26T19:58:36.0183273Z >>> 2025-08-26T19:58:36.0183724Z >>> def backward(ctx, grad): 2025-08-26T19:58:36.0184323Z >>> x, = ctx.saved_tensors 2025-08-26T19:58:36.0184989Z >>> return grad * x.cos() 2025-08-26T19:58:36.0185628Z >>> 2025-08-26T19:58:36.0186106Z >>> torch.library.register_autograd( 2025-08-26T19:58:36.0186880Z ... "mylib::numpy_sin", backward, setup_context=setup_context 2025-08-26T19:58:36.0187606Z ... ) 2025-08-26T19:58:36.0188062Z >>> 2025-08-26T19:58:36.0188543Z >>> x = torch.randn(3, requires_grad=True) 2025-08-26T19:58:36.0189158Z >>> y = numpy_sin(x) 2025-08-26T19:58:36.0189828Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2025-08-26T19:58:36.0190625Z >>> assert torch.allclose(grad_x, x.cos()) 2025-08-26T19:58:36.0191255Z >>> 2025-08-26T19:58:36.0191707Z >>> # Example with a keyword-only arg 2025-08-26T19:58:36.0192543Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2025-08-26T19:58:36.0193527Z >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor: 2025-08-26T19:58:36.0194243Z >>> x_np = x.cpu().numpy() 2025-08-26T19:58:36.0194956Z >>> y_np = x_np * val 2025-08-26T19:58:36.0195640Z >>> return torch.from_numpy(y_np).to(device=x.device) 2025-08-26T19:58:36.0196335Z >>> 2025-08-26T19:58:36.0197019Z >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor: 2025-08-26T19:58:36.0197942Z >>> ctx.val = keyword_only_inputs["val"] 2025-08-26T19:58:36.0198558Z >>> 2025-08-26T19:58:36.0199009Z >>> def backward(ctx, grad): 2025-08-26T19:58:36.0199616Z >>> return grad * ctx.val 2025-08-26T19:58:36.0200181Z >>> 2025-08-26T19:58:36.0200637Z >>> torch.library.register_autograd( 2025-08-26T19:58:36.0201436Z ... "mylib::numpy_mul", backward, setup_context=setup_context 2025-08-26T19:58:36.0202189Z ... ) 2025-08-26T19:58:36.0202611Z >>> 2025-08-26T19:58:36.0203081Z >>> x = torch.randn(3, requires_grad=True) 2025-08-26T19:58:36.0203760Z >>> y = numpy_mul(x, val=3.14) 2025-08-26T19:58:36.0204484Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2025-08-26T19:58:36.0205381Z >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14)) 2025-08-26T19:58:36.0206097Z 2025-08-26T19:58:36.0206464Z 2025-08-26T19:58:36.0207176Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0208061Z 2025-08-26T19:58:36.0208436Z warnings.warn(msg) 2025-08-26T19:58:36.0208906Z 2025-08-26T19:58:36.0209508Z --- Parse Warning: 11 / 146 --- 2025-08-26T19:58:36.0211667Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1482. 2025-08-26T19:58:36.0214064Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:36.0215223Z Returns the computed kernel for a given operator and dispatch key. 2025-08-26T19:58:36.0216032Z 2025-08-26T19:58:36.0216676Z This function retrieves the kernel that would be executed for a given 2025-08-26T19:58:36.0217818Z operator and dispatch key combination. The returned SafeKernelFunction 2025-08-26T19:58:36.0218878Z can be used to call the kernel in a boxed fashion. The intended use 2025-08-26T19:58:36.0219907Z case for this function is to retrieve the original kernel for a given 2025-08-26T19:58:36.0220991Z dispatch key and then register another kernel to the same dispatch key 2025-08-26T19:58:36.0221977Z that calls into the original kernel for certain cases. 2025-08-26T19:58:36.0222659Z 2025-08-26T19:58:36.0223021Z Args: 2025-08-26T19:58:36.0223644Z op: Operator name (along with the overload) or OpOverload object 2025-08-26T19:58:36.0224769Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-08-26T19:58:36.0225971Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-08-26T19:58:36.0227067Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-08-26T19:58:36.0227827Z 2025-08-26T19:58:36.0228194Z Returns: 2025-08-26T19:58:36.0228910Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-08-26T19:58:36.0229799Z call the kernel. 2025-08-26T19:58:36.0230345Z 2025-08-26T19:58:36.0230714Z Raises: 2025-08-26T19:58:36.0231233Z RuntimeError: If the operator does not exist. 2025-08-26T19:58:36.0231872Z 2025-08-26T19:58:36.0232243Z Example: 2025-08-26T19:58:36.0232725Z >>> # Get the CPU kernel for torch.add 2025-08-26T19:58:36.0264072Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-08-26T19:58:36.0264887Z >>> 2025-08-26T19:58:36.0265562Z >>> # You can also use DispatchKey enum 2025-08-26T19:58:36.0266507Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-08-26T19:58:36.0267372Z >>> 2025-08-26T19:58:36.0267803Z >>> # Or use an OpOverload directly 2025-08-26T19:58:36.0268644Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-08-26T19:58:36.0269465Z >>> 2025-08-26T19:58:36.0270092Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-08-26T19:58:36.0270960Z >>> # Get the original kernel for torch.sin 2025-08-26T19:58:36.0271806Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-08-26T19:58:36.0272610Z >>> 2025-08-26T19:58:36.0273373Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-08-26T19:58:36.0274293Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-08-26T19:58:36.0274951Z >>> if (x < 0).any(): 2025-08-26T19:58:36.0275647Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-08-26T19:58:36.0276383Z >>> else: 2025-08-26T19:58:36.0276891Z >>> return torch.zeros_like(x) 2025-08-26T19:58:36.0277472Z >>> 2025-08-26T19:58:36.0277954Z >>> lib = torch.library.Library("aten", "IMPL") 2025-08-26T19:58:36.0278934Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-08-26T19:58:36.0280053Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-08-26T19:58:36.0281004Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-08-26T19:58:36.0281776Z >>> 2025-08-26T19:58:36.0282238Z >>> # Test the conditional behavior 2025-08-26T19:58:36.0282887Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-08-26T19:58:36.0283529Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-08-26T19:58:36.0284157Z >>> torch.sin(x_positive) 2025-08-26T19:58:36.0284701Z tensor([0., 0.]) 2025-08-26T19:58:36.0285198Z >>> torch.sin(x_mixed) 2025-08-26T19:58:36.0285717Z tensor([-0.8415, 0.9093]) 2025-08-26T19:58:36.0286228Z 2025-08-26T19:58:36.0287377Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-08-26T19:58:36.0288702Z 2025-08-26T19:58:36.0289216Z which needs to be the first argument to ``kernel.call_boxed`` 2025-08-26T19:58:36.0289939Z ^ 2025-08-26T19:58:36.0290322Z warnings.warn(msg) 2025-08-26T19:58:36.0290767Z 2025-08-26T19:58:36.0291386Z --- Parse Warning: 12 / 146 --- 2025-08-26T19:58:36.0293537Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=opcheck in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1571. 2025-08-26T19:58:36.0296106Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0297290Z Given an operator and some sample arguments, tests if the operator is 2025-08-26T19:58:36.0298148Z registered correctly. 2025-08-26T19:58:36.0298631Z 2025-08-26T19:58:36.0299242Z That is, when you use the torch.library/TORCH_LIBRARY APIs to create a 2025-08-26T19:58:36.0300367Z custom op, you specified metadata (e.g. mutability info) about the custom op 2025-08-26T19:58:36.0301536Z and these APIs require that the functions you pass them satisfy certain 2025-08-26T19:58:36.0302643Z properties (e.g. no data pointer access in the fake/meta/abstract kernel) 2025-08-26T19:58:36.0303607Z ``opcheck`` tests these metadata and properties. 2025-08-26T19:58:36.0304262Z 2025-08-26T19:58:36.0304699Z Concretely, we test the following: 2025-08-26T19:58:36.0305348Z 2025-08-26T19:58:36.0305899Z - test_schema: If the schema matches the implementation of 2025-08-26T19:58:36.0306907Z the operator. For example: if the schema specifies a Tensor is mutated, 2025-08-26T19:58:36.0307992Z then we check the implementation mutates the Tensor. If the schema 2025-08-26T19:58:36.0309005Z specifies that we return a new Tensor, then we check that the 2025-08-26T19:58:36.0309432Z implementation returns a new Tensor (instead of an existing one or 2025-08-26T19:58:36.0309626Z a view of an existing one). 2025-08-26T19:58:36.0310018Z - test_autograd_registration: If the operator supports training 2025-08-26T19:58:36.0310383Z (autograd): we check that its autograd formula is registered via 2025-08-26T19:58:36.0310799Z torch.library.register_autograd or a manual registration to one 2025-08-26T19:58:36.0311185Z or more DispatchKey::Autograd keys. Any other DispatchKey-based 2025-08-26T19:58:36.0311456Z registrations may lead to undefined behavior. 2025-08-26T19:58:36.0311807Z - test_faketensor: If the operator has a FakeTensor kernel 2025-08-26T19:58:36.0312128Z (and if it is correct). The FakeTensor kernel is necessary ( 2025-08-26T19:58:36.0312568Z but not sufficient) for the operator to work with PyTorch compilation 2025-08-26T19:58:36.0312965Z APIs (torch.compile/export/FX). We check that a FakeTensor kernel 2025-08-26T19:58:36.0313404Z (also sometimes known as a meta kernel) was registered for the 2025-08-26T19:58:36.0313787Z operator and that it is correct. This test takes the result of 2025-08-26T19:58:36.0314156Z running the operator on real tensors and the result of running 2025-08-26T19:58:36.0314538Z the operator on FakeTensors and checks that they have the same 2025-08-26T19:58:36.0314821Z Tensor metadata (sizes/strides/dtype/device/etc). 2025-08-26T19:58:36.0315213Z - test_aot_dispatch_dynamic: If the operator has correct behavior 2025-08-26T19:58:36.0315566Z with PyTorch compilation APIs (torch.compile/export/FX). 2025-08-26T19:58:36.0315968Z This checks that the outputs (and gradients, if applicable) are the 2025-08-26T19:58:36.0316255Z same under eager-mode PyTorch and torch.compile. 2025-08-26T19:58:36.0316621Z This test is a superset of ``test_faketensor`` and is an e2e test; 2025-08-26T19:58:36.0316919Z other things it tests are that the operator supports 2025-08-26T19:58:36.0317353Z functionalization and that the backward pass (if it exists) also 2025-08-26T19:58:36.0317607Z supports FakeTensor and functionalization. 2025-08-26T19:58:36.0317774Z 2025-08-26T19:58:36.0318146Z For best results, please call ``opcheck`` multiple times with a 2025-08-26T19:58:36.0318485Z representative set of inputs. If your operator supports 2025-08-26T19:58:36.0318996Z autograd, please use ``opcheck`` with inputs with ``requires_grad = True``; 2025-08-26T19:58:36.0319465Z if your operator supports multiple devices (e.g. CPU and CUDA), please 2025-08-26T19:58:36.0319777Z use ``opcheck`` with inputs on all supported devices. 2025-08-26T19:58:36.0319928Z 2025-08-26T19:58:36.0320085Z Args: 2025-08-26T19:58:36.0320431Z op: The operator. Must either be a function decorated with 2025-08-26T19:58:36.0320837Z :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket 2025-08-26T19:58:36.0321248Z found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo) 2025-08-26T19:58:36.0321449Z args: The args to the operator 2025-08-26T19:58:36.0321659Z kwargs: The kwargs to the operator 2025-08-26T19:58:36.0322018Z test_utils: Tests that we should run. Default: all of them. 2025-08-26T19:58:36.0322264Z Example: ("test_schema", "test_faketensor") 2025-08-26T19:58:36.0322715Z raise_exception: If we should raise an exception on the first 2025-08-26T19:58:36.0323030Z error. If False, we will return a dict with information 2025-08-26T19:58:36.0323260Z on if each test passed or not. 2025-08-26T19:58:36.0323720Z rtol (Optional[float]): Relative tolerance for floating point comparisons. 2025-08-26T19:58:36.0323973Z If specified ``atol`` must also be specified. 2025-08-26T19:58:36.0324349Z If omitted, default values based on the ``dtype`` are selected 2025-08-26T19:58:36.0324653Z (see the table in :func:`torch.testing.assert_close`). 2025-08-26T19:58:36.0325120Z atol (Optional[float]): Absolute tolerance for floating point comparisons. 2025-08-26T19:58:36.0325369Z If specified ``rtol`` must also be specified. 2025-08-26T19:58:36.0325735Z If omitted, default values based on the ``dtype`` are selected 2025-08-26T19:58:36.0326068Z (see the table in :func:`torch.testing.assert_close`). 2025-08-26T19:58:36.0326224Z 2025-08-26T19:58:36.0326408Z .. warning:: 2025-08-26T19:58:36.0326561Z 2025-08-26T19:58:36.0326969Z opcheck and :func:`torch.autograd.gradcheck` test different things; 2025-08-26T19:58:36.0327385Z opcheck tests if your usage of torch.library APIs is correct while 2025-08-26T19:58:36.0327789Z :func:`torch.autograd.gradcheck` tests if your autograd formula is 2025-08-26T19:58:36.0328220Z mathematically correct. Use both to test custom ops that support 2025-08-26T19:58:36.0328409Z gradient computation. 2025-08-26T19:58:36.0328558Z 2025-08-26T19:58:36.0328734Z Example: 2025-08-26T19:58:36.0328885Z 2025-08-26T19:58:36.0329139Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T19:58:36.0329536Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2025-08-26T19:58:36.0329800Z >>> def numpy_mul(x: Tensor, y: float) -> Tensor: 2025-08-26T19:58:36.0330022Z >>> x_np = x.numpy(force=True) 2025-08-26T19:58:36.0330199Z >>> z_np = x_np * y 2025-08-26T19:58:36.0330464Z >>> return torch.from_numpy(z_np).to(x.device) 2025-08-26T19:58:36.0330619Z >>> 2025-08-26T19:58:36.0330819Z >>> @numpy_mul.register_fake 2025-08-26T19:58:36.0331002Z >>> def _(x, y): 2025-08-26T19:58:36.0331211Z >>> return torch.empty_like(x) 2025-08-26T19:58:36.0331362Z >>> 2025-08-26T19:58:36.0331616Z >>> def setup_context(ctx, inputs, output): 2025-08-26T19:58:36.0331787Z >>> y, = inputs 2025-08-26T19:58:36.0331975Z >>> ctx.y = y 2025-08-26T19:58:36.0332130Z >>> 2025-08-26T19:58:36.0332322Z >>> def backward(ctx, grad): 2025-08-26T19:58:36.0332534Z >>> return grad * ctx.y, None 2025-08-26T19:58:36.0332728Z >>> 2025-08-26T19:58:36.0333204Z >>> numpy_mul.register_autograd(backward, setup_context=setup_context) 2025-08-26T19:58:36.0333359Z >>> 2025-08-26T19:58:36.0333544Z >>> sample_inputs = [ 2025-08-26T19:58:36.0333751Z >>> (torch.randn(3), 3.14), 2025-08-26T19:58:36.0333981Z >>> (torch.randn(2, 3, device='cuda'), 2.718), 2025-08-26T19:58:36.0334267Z >>> (torch.randn(1, 10, requires_grad=True), 1.234), 2025-08-26T19:58:36.0334624Z >>> (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18), 2025-08-26T19:58:36.0334782Z >>> ] 2025-08-26T19:58:36.0334954Z >>> 2025-08-26T19:58:36.0335154Z >>> for args in sample_inputs: 2025-08-26T19:58:36.0335417Z >>> torch.library.opcheck(numpy_mul, args) 2025-08-26T19:58:36.0335566Z 2025-08-26T19:58:36.0335741Z 2025-08-26T19:58:36.0336241Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0336482Z 2025-08-26T19:58:36.0336662Z warnings.warn(msg) 2025-08-26T19:58:36.0336828Z 2025-08-26T19:58:36.0337201Z --- Parse Warning: 13 / 146 --- 2025-08-26T19:58:36.0338925Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py line=1285. 2025-08-26T19:58:36.0339433Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0340088Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args) 2025-08-26T19:58:36.0340237Z 2025-08-26T19:58:36.0340566Z Loads an object saved with :func:`torch.save` from a file. 2025-08-26T19:58:36.0340731Z 2025-08-26T19:58:36.0341171Z :func:`torch.load` uses Python's unpickling facilities but treats storages, 2025-08-26T19:58:36.0341630Z which underlie tensors, specially. They are first deserialized on the 2025-08-26T19:58:36.0342048Z CPU and are then moved to the device they were saved from. If this fails 2025-08-26T19:58:36.0342486Z (e.g. because the run time system doesn't have certain devices), an exception 2025-08-26T19:58:36.0342958Z is raised. However, storages can be dynamically remapped to an alternative 2025-08-26T19:58:36.0343262Z set of devices using the :attr:`map_location` argument. 2025-08-26T19:58:36.0343450Z 2025-08-26T19:58:36.0343912Z If :attr:`map_location` is a callable, it will be called once for each serialized 2025-08-26T19:58:36.0344342Z storage with two arguments: storage and location. The storage argument 2025-08-26T19:58:36.0344801Z will be the initial deserialization of the storage, residing on the CPU. 2025-08-26T19:58:36.0345214Z Each serialized storage has a location tag associated with it which 2025-08-26T19:58:36.0345643Z identifies the device it was saved from, and this tag is the second 2025-08-26T19:58:36.0346137Z argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'`` 2025-08-26T19:58:36.0346571Z for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors. 2025-08-26T19:58:36.0346973Z :attr:`map_location` should return either ``None`` or a storage. If 2025-08-26T19:58:36.0347459Z :attr:`map_location` returns a storage, it will be used as the final deserialized 2025-08-26T19:58:36.0347947Z object, already moved to the right device. Otherwise, :func:`torch.load` will 2025-08-26T19:58:36.0348421Z fall back to the default behavior, as if :attr:`map_location` wasn't specified. 2025-08-26T19:58:36.0348570Z 2025-08-26T19:58:36.0349038Z If :attr:`map_location` is a :class:`torch.device` object or a string containing 2025-08-26T19:58:36.0349486Z a device tag, it indicates the location where all tensors should be loaded. 2025-08-26T19:58:36.0349693Z 2025-08-26T19:58:36.0350231Z Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags 2025-08-26T19:58:36.0350643Z appearing in the file (keys), to ones that specify where to put the 2025-08-26T19:58:36.0350823Z storages (values). 2025-08-26T19:58:36.0350974Z 2025-08-26T19:58:36.0351414Z User extensions can register their own location tags and tagging and 2025-08-26T19:58:36.0351925Z deserialization methods using :func:`torch.serialization.register_package`. 2025-08-26T19:58:36.0352079Z 2025-08-26T19:58:36.0352564Z See :ref:`layout-control` for more advanced tools to manipulate a checkpoint. 2025-08-26T19:58:36.0352718Z 2025-08-26T19:58:36.0352886Z Args: 2025-08-26T19:58:36.0353614Z f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`), 2025-08-26T19:58:36.0353933Z or a string or os.PathLike object containing a file name 2025-08-26T19:58:36.0354848Z map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage 2025-08-26T19:58:36.0355023Z locations 2025-08-26T19:58:36.0355488Z pickle_module: module used for unpickling metadata and objects (has to 2025-08-26T19:58:36.0355838Z match the :attr:`pickle_module` used to serialize file) 2025-08-26T19:58:36.0356264Z weights_only: Indicates whether unpickler should be restricted to 2025-08-26T19:58:36.0356566Z loading only tensors, primitive types, dictionaries 2025-08-26T19:58:36.0356984Z and any types added via :func:`torch.serialization.add_safe_globals`. 2025-08-26T19:58:36.0357240Z See :ref:`weights-only` for more details. 2025-08-26T19:58:36.0357898Z mmap: Indicates whether the file should be mapped rather than loading all the storages into memory. 2025-08-26T19:58:36.0358589Z Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they 2025-08-26T19:58:36.0359267Z are moved to the location that they were tagged with when saving, or specified by ``map_location``. This 2025-08-26T19:58:36.0359917Z second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the 2025-08-26T19:58:36.0360579Z tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages 2025-08-26T19:58:36.0360862Z will be lazily loaded when their data is accessed. 2025-08-26T19:58:36.0361339Z pickle_load_args: (Python 3 only) optional keyword arguments passed over to 2025-08-26T19:58:36.0361754Z :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g., 2025-08-26T19:58:36.0361948Z :attr:`errors=...`. 2025-08-26T19:58:36.0362097Z 2025-08-26T19:58:36.0362266Z .. warning:: 2025-08-26T19:58:36.0362689Z :func:`torch.load()` unless `weights_only` parameter is set to `True`, 2025-08-26T19:58:36.0363068Z uses ``pickle`` module implicitly, which is known to be insecure. 2025-08-26T19:58:36.0363624Z It is possible to construct malicious pickle data which will execute arbitrary code 2025-08-26T19:58:36.0364084Z during unpickling. Never load data that could have come from an untrusted 2025-08-26T19:58:36.0364660Z source in an unsafe mode, or that could have been tampered with. **Only load data you trust**. 2025-08-26T19:58:36.0364822Z 2025-08-26T19:58:36.0364987Z .. note:: 2025-08-26T19:58:36.0365502Z When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors 2025-08-26T19:58:36.0365996Z will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')`` 2025-08-26T19:58:36.0366533Z and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint. 2025-08-26T19:58:36.0366787Z 2025-08-26T19:58:36.0366942Z .. note:: 2025-08-26T19:58:36.0367443Z By default, we decode byte strings as ``utf-8``. This is to avoid a common error 2025-08-26T19:58:36.0367860Z case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...`` 2025-08-26T19:58:36.0368276Z when loading files saved by Python 2 in Python 3. If this default 2025-08-26T19:58:36.0368769Z is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how 2025-08-26T19:58:36.0369229Z these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them 2025-08-26T19:58:36.0369703Z to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them 2025-08-26T19:58:36.0370146Z as byte arrays which can be decoded later with ``byte_array.decode(...)``. 2025-08-26T19:58:36.0370314Z 2025-08-26T19:58:36.0370479Z Example: 2025-08-26T19:58:36.0370784Z >>> # xdoctest: +SKIP("undefined filepaths") 2025-08-26T19:58:36.0371060Z >>> torch.load("tensors.pt", weights_only=True) 2025-08-26T19:58:36.0371269Z # Load all tensors onto the CPU 2025-08-26T19:58:36.0371459Z >>> torch.load( 2025-08-26T19:58:36.0371636Z ... "tensors.pt", 2025-08-26T19:58:36.0371865Z ... map_location=torch.device("cpu"), 2025-08-26T19:58:36.0372064Z ... weights_only=True, 2025-08-26T19:58:36.0372219Z ... ) 2025-08-26T19:58:36.0372499Z # Load all tensors onto the CPU, using a function 2025-08-26T19:58:36.0372670Z >>> torch.load( 2025-08-26T19:58:36.0372844Z ... "tensors.pt", 2025-08-26T19:58:36.0373116Z ... map_location=lambda storage, loc: storage, 2025-08-26T19:58:36.0373304Z ... weights_only=True, 2025-08-26T19:58:36.0373454Z ... ) 2025-08-26T19:58:36.0373679Z # Load all tensors onto GPU 1 2025-08-26T19:58:36.0373857Z >>> torch.load( 2025-08-26T19:58:36.0374045Z ... "tensors.pt", 2025-08-26T19:58:36.0374341Z ... map_location=lambda storage, loc: storage.cuda(1), 2025-08-26T19:58:36.0374523Z ... weights_only=True, 2025-08-26T19:58:36.0374745Z ... ) # type: ignore[attr-defined] 2025-08-26T19:58:36.0374953Z # Map tensors from GPU 1 to GPU 0 2025-08-26T19:58:36.0375136Z >>> torch.load( 2025-08-26T19:58:36.0375308Z ... "tensors.pt", 2025-08-26T19:58:36.0375528Z ... map_location={"cuda:1": "cuda:0"}, 2025-08-26T19:58:36.0375728Z ... weights_only=True, 2025-08-26T19:58:36.0375885Z ... ) 2025-08-26T19:58:36.0376119Z # Load tensor from io.BytesIO object 2025-08-26T19:58:36.0376603Z # Loading from a buffer setting weights_only=False, warning this can be unsafe 2025-08-26T19:58:36.0376819Z >>> with open("tensor.pt", "rb") as f: 2025-08-26T19:58:36.0377046Z ... buffer = io.BytesIO(f.read()) 2025-08-26T19:58:36.0377277Z >>> torch.load(buffer, weights_only=False) 2025-08-26T19:58:36.0377571Z # Load a module with 'ascii' encoding for unpickling 2025-08-26T19:58:36.0378053Z # Loading from a module setting weights_only=False, warning this can be unsafe 2025-08-26T19:58:36.0378415Z >>> torch.load("module.pt", encoding="ascii", weights_only=False) 2025-08-26T19:58:36.0378580Z 2025-08-26T19:58:36.0379065Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0379231Z 2025-08-26T19:58:36.0379413Z warnings.warn(msg) 2025-08-26T19:58:36.0379560Z 2025-08-26T19:58:36.0379951Z --- Parse Warning: 14 / 146 --- 2025-08-26T19:58:36.0381985Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compute_required_storage_length in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims_common/__init__.py line=1877. 2025-08-26T19:58:36.0382587Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0383011Z Computes the minimum storage size to hold the given tensor geometry. 2025-08-26T19:58:36.0383161Z 2025-08-26T19:58:36.0383337Z Example 2025-08-26T19:58:36.0383492Z ======= 2025-08-26T19:58:36.0383654Z 2025-08-26T19:58:36.0384092Z This is the size of a newly allocated tensor's storage, in units of elements 2025-08-26T19:58:36.0384242Z 2025-08-26T19:58:36.0384449Z >>> t = torch.empty((10, 20)) 2025-08-26T19:58:36.0384918Z >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset()) 2025-08-26T19:58:36.0385086Z 200 2025-08-26T19:58:36.0385237Z 2025-08-26T19:58:36.0385430Z >>> # xdoctest: +SKIP(failing) 2025-08-26T19:58:36.0385687Z >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11)) 2025-08-26T19:58:36.0385989Z >>> size = compute_required_storage_length( 2025-08-26T19:58:36.0386253Z ... t2.shape, t2.stride(), t2.storage_offset() 2025-08-26T19:58:36.0386402Z ... ) 2025-08-26T19:58:36.0386593Z >>> size == t.storage().size() 2025-08-26T19:58:36.0386761Z True 2025-08-26T19:58:36.0386910Z 2025-08-26T19:58:36.0387285Z A valid tensor may have a larger storage size, but never smaller 2025-08-26T19:58:36.0387451Z 2025-08-26T19:58:36.0387650Z >>> slice = torch.empty(100)[20:40] 2025-08-26T19:58:36.0387854Z >>> slice.storage().size() 2025-08-26T19:58:36.0388007Z 100 2025-08-26T19:58:36.0388158Z 2025-08-26T19:58:36.0388392Z >>> compute_required_storage_length( 2025-08-26T19:58:36.0388693Z ... slice.shape, slice.stride(), slice.storage_offset() 2025-08-26T19:58:36.0388861Z ... ) 2025-08-26T19:58:36.0389013Z 40 2025-08-26T19:58:36.0389163Z 2025-08-26T19:58:36.0389336Z 2025-08-26T19:58:36.0389828Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0389975Z 2025-08-26T19:58:36.0390175Z warnings.warn(msg) 2025-08-26T19:58:36.0390326Z 2025-08-26T19:58:36.0390678Z --- Parse Warning: 15 / 146 --- 2025-08-26T19:58:36.0392473Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=66. 2025-08-26T19:58:36.0392967Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:36.0393526Z Check if the current accelerator is available at runtime: it was build, all the 2025-08-26T19:58:36.0393940Z required drivers are available and at least one device is visible. 2025-08-26T19:58:36.0394226Z See :ref:`accelerator` for details. 2025-08-26T19:58:36.0394379Z 2025-08-26T19:58:36.0394562Z Returns: 2025-08-26T19:58:36.0395096Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-08-26T19:58:36.0395247Z 2025-08-26T19:58:36.0395722Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-08-26T19:58:36.0396227Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-08-26T19:58:36.0396727Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-08-26T19:58:36.0396995Z :ref:`multiprocessing-poison-fork-note`. 2025-08-26T19:58:36.0397148Z 2025-08-26T19:58:36.0397325Z Example:: 2025-08-26T19:58:36.0397474Z 2025-08-26T19:58:36.0398012Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T19:58:36.0398168Z 2025-08-26T19:58:36.0399346Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-08-26T19:58:36.0399571Z 2025-08-26T19:58:36.0400077Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T19:58:36.0400267Z ^ 2025-08-26T19:58:36.0400446Z warnings.warn(msg) 2025-08-26T19:58:36.0400595Z 2025-08-26T19:58:36.0400948Z --- Parse Warning: 16 / 146 --- 2025-08-26T19:58:36.0402777Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=212. 2025-08-26T19:58:36.0403262Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:36.0403658Z Wait for all kernels in all streams on the given device to complete. 2025-08-26T19:58:36.0403807Z 2025-08-26T19:58:36.0403977Z Args: 2025-08-26T19:58:36.0404663Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-08-26T19:58:36.0405116Z the current :ref:`accelerator` device type. If not given, 2025-08-26T19:58:36.0405482Z use :func:`torch.accelerator.current_device_index` by default. 2025-08-26T19:58:36.0405628Z 2025-08-26T19:58:36.0406245Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-08-26T19:58:36.0406392Z 2025-08-26T19:58:36.0406570Z Example:: 2025-08-26T19:58:36.0406720Z 2025-08-26T19:58:36.0406972Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T19:58:36.0407506Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T19:58:36.0407767Z >>> start_event = torch.Event(enable_timing=True) 2025-08-26T19:58:36.0408036Z >>> end_event = torch.Event(enable_timing=True) 2025-08-26T19:58:36.0408224Z >>> start_event.record() 2025-08-26T19:58:36.0408684Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-08-26T19:58:36.0408892Z >>> sum = torch.sum(tensor) 2025-08-26T19:58:36.0409074Z >>> end_event.record() 2025-08-26T19:58:36.0409319Z >>> torch.accelerator.synchronize() 2025-08-26T19:58:36.0409634Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-08-26T19:58:36.0409785Z 2025-08-26T19:58:36.0410921Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-08-26T19:58:36.0411069Z 2025-08-26T19:58:36.0411588Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T19:58:36.0411765Z ^ 2025-08-26T19:58:36.0411949Z warnings.warn(msg) 2025-08-26T19:58:36.0412123Z 2025-08-26T19:58:36.0412457Z --- Parse Warning: 17 / 146 --- 2025-08-26T19:58:36.0414173Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py line=434. 2025-08-26T19:58:36.0414651Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:36.0414872Z Retrieves the CUDA runtime API module. 2025-08-26T19:58:36.0415041Z 2025-08-26T19:58:36.0415192Z 2025-08-26T19:58:36.0415696Z This function initializes the CUDA runtime environment if it is not already 2025-08-26T19:58:36.0416138Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-08-26T19:58:36.0416570Z runtime API module provides access to various CUDA runtime functions. 2025-08-26T19:58:36.0416778Z 2025-08-26T19:58:36.0416933Z Args: 2025-08-26T19:58:36.0417149Z ``None`` 2025-08-26T19:58:36.0417298Z 2025-08-26T19:58:36.0417452Z Returns: 2025-08-26T19:58:36.0417731Z module: The CUDA runtime API module (_cudart). 2025-08-26T19:58:36.0417881Z 2025-08-26T19:58:36.0418059Z Raises: 2025-08-26T19:58:36.0418505Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-08-26T19:58:36.0419212Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-08-26T19:58:36.0419380Z 2025-08-26T19:58:36.0419626Z Example of CUDA operations with profiling: 2025-08-26T19:58:36.0419816Z >>> import torch 2025-08-26T19:58:36.0420060Z >>> from torch.cuda import cudart, check_error 2025-08-26T19:58:36.0420225Z >>> import os 2025-08-26T19:58:36.0420394Z >>> 2025-08-26T19:58:36.0420607Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-08-26T19:58:36.0420760Z >>> 2025-08-26T19:58:36.0421107Z >>> def perform_cuda_operations_with_streams(): 2025-08-26T19:58:36.0421321Z >>> stream = torch.cuda.Stream() 2025-08-26T19:58:36.0421555Z >>> with torch.cuda.stream(stream): 2025-08-26T19:58:36.0421784Z >>> x = torch.randn(100, 100, device='cuda') 2025-08-26T19:58:36.0422009Z >>> y = torch.randn(100, 100, device='cuda') 2025-08-26T19:58:36.0422209Z >>> z = torch.mul(x, y) 2025-08-26T19:58:36.0422372Z >>> return z 2025-08-26T19:58:36.0422543Z >>> 2025-08-26T19:58:36.0422749Z >>> torch.cuda.synchronize() 2025-08-26T19:58:36.0422989Z >>> print("====== Start nsys profiling ======") 2025-08-26T19:58:36.0423262Z >>> check_error(cudart().cudaProfilerStart()) 2025-08-26T19:58:36.0423519Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-08-26T19:58:36.0423820Z >>> result = perform_cuda_operations_with_streams() 2025-08-26T19:58:36.0424053Z >>> print("CUDA operations completed.") 2025-08-26T19:58:36.0424353Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-08-26T19:58:36.0424603Z >>> print("====== End nsys profiling ======") 2025-08-26T19:58:36.0424752Z 2025-08-26T19:58:36.0425138Z To run this example and save the profiling information, execute: 2025-08-26T19:58:36.0425831Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-26T19:58:36.0425977Z 2025-08-26T19:58:36.0426463Z This command profiles the CUDA operations in the provided script and saves 2025-08-26T19:58:36.0426829Z the profiling information to a file named `trace_name.prof`. 2025-08-26T19:58:36.0427287Z The `--profile-from-start off` option ensures that profiling starts only 2025-08-26T19:58:36.0427565Z after the `cudaProfilerStart` call in the script. 2025-08-26T19:58:36.0428001Z The `--csv` and `--print-summary` options format the profiling output as a 2025-08-26T19:58:36.0428264Z CSV file and print a summary, respectively. 2025-08-26T19:58:36.0428734Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-08-26T19:58:36.0429037Z overwrite of the output file if it already exists. 2025-08-26T19:58:36.0429189Z 2025-08-26T19:58:36.0430479Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-08-26T19:58:36.0430647Z 2025-08-26T19:58:36.0431325Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-26T19:58:36.0431496Z ^ 2025-08-26T19:58:36.0431679Z warnings.warn(msg) 2025-08-26T19:58:36.0431827Z 2025-08-26T19:58:36.0432223Z --- Parse Warning: 18 / 146 --- 2025-08-26T19:58:36.0434094Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.then in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=101. 2025-08-26T19:58:36.0434620Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0434770Z 2025-08-26T19:58:36.0435222Z Append the given callback function to this ``Future``, which will be run 2025-08-26T19:58:36.0435610Z when the ``Future`` is completed. Multiple callbacks can be added to 2025-08-26T19:58:36.0435999Z the same ``Future``, but the order in which they will be executed cannot 2025-08-26T19:58:36.0436360Z be guaranteed (to enforce a certain order consider chaining: 2025-08-26T19:58:36.0436736Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which 2025-08-26T19:58:36.0437146Z is the reference to this ``Future``. The callback function can use the 2025-08-26T19:58:36.0437610Z :meth:`value` method to get the value. Note that if this ``Future`` is 2025-08-26T19:58:36.0438043Z already completed, the given callback will be run immediately inline. 2025-08-26T19:58:36.0438206Z 2025-08-26T19:58:36.0438569Z If the ``Future``'s value contains tensors that reside on GPUs, the 2025-08-26T19:58:36.0438999Z callback might be invoked while the async kernels that are populating 2025-08-26T19:58:36.0439438Z those tensors haven't yet finished executing on the device. However, the 2025-08-26T19:58:36.0439837Z callback will be invoked with some dedicated streams set as current 2025-08-26T19:58:36.0440237Z (fetched from a global pool) which will be synchronized with those 2025-08-26T19:58:36.0440666Z kernels. Hence any operation performed by the callback on these tensors 2025-08-26T19:58:36.0441074Z will be scheduled on the device after the kernels complete. In other 2025-08-26T19:58:36.0441450Z words, as long as the callback doesn't switch streams, it can safely 2025-08-26T19:58:36.0441878Z manipulate the result without any additional synchronization. This is 2025-08-26T19:58:36.0442178Z similar to the non-blocking behavior of :meth:`wait`. 2025-08-26T19:58:36.0442330Z 2025-08-26T19:58:36.0442741Z Similarly, if the callback returns a value that contains tensors that 2025-08-26T19:58:36.0443102Z reside on a GPU, it can do so even if the kernels that are producing 2025-08-26T19:58:36.0443512Z these tensors are still running on the device, as long as the callback 2025-08-26T19:58:36.0443904Z didn't change streams during its execution. If one wants to change 2025-08-26T19:58:36.0444301Z streams, one must be careful to re-synchronize them with the original 2025-08-26T19:58:36.0444724Z streams, that is, those that were current when the callback was invoked. 2025-08-26T19:58:36.0444876Z 2025-08-26T19:58:36.0445033Z Args: 2025-08-26T19:58:36.0445436Z callback(``Callable``): a ``Callable`` that takes this ``Future`` as 2025-08-26T19:58:36.0445639Z the only argument. 2025-08-26T19:58:36.0445808Z 2025-08-26T19:58:36.0445965Z Returns: 2025-08-26T19:58:36.0446269Z A new ``Future`` object that holds the return value of the 2025-08-26T19:58:36.0446607Z ``callback`` and will be marked as completed when the given 2025-08-26T19:58:36.0446780Z ``callback`` finishes. 2025-08-26T19:58:36.0446946Z 2025-08-26T19:58:36.0447262Z .. note:: Note that if the callback function throws, either 2025-08-26T19:58:36.0447660Z through the original future being completed with an exception and 2025-08-26T19:58:36.0448035Z calling ``fut.wait()``, or through other code in the callback, the 2025-08-26T19:58:36.0448416Z future returned by ``then`` will be marked appropriately with the 2025-08-26T19:58:36.0448794Z encountered error. However, if this callback later completes 2025-08-26T19:58:36.0449242Z additional futures, those futures are not marked as completed with 2025-08-26T19:58:36.0449653Z an error and the user is responsible for handling completion/waiting 2025-08-26T19:58:36.0449873Z on those futures independently. 2025-08-26T19:58:36.0450021Z 2025-08-26T19:58:36.0450200Z Example:: 2025-08-26T19:58:36.0450347Z 2025-08-26T19:58:36.0450618Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2025-08-26T19:58:36.0450815Z >>> def callback(fut): 2025-08-26T19:58:36.0451069Z ... print(f"RPC return value is {fut.wait()}.") 2025-08-26T19:58:36.0451294Z >>> fut = torch.futures.Future() 2025-08-26T19:58:36.0451609Z >>> # The inserted callback will print the return value when 2025-08-26T19:58:36.0451835Z >>> # receiving the response from "worker1" 2025-08-26T19:58:36.0452047Z >>> cb_fut = fut.then(callback) 2025-08-26T19:58:36.0452234Z >>> chain_cb_fut = cb_fut.then( 2025-08-26T19:58:36.0452594Z ... lambda x : print(f"Chained cb done. {x.wait()}") 2025-08-26T19:58:36.0452758Z ... ) 2025-08-26T19:58:36.0452935Z >>> fut.set_result(5) 2025-08-26T19:58:36.0453138Z RPC return value is 5. 2025-08-26T19:58:36.0453324Z Chained cb done. None 2025-08-26T19:58:36.0453474Z 2025-08-26T19:58:36.0453977Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0454125Z 2025-08-26T19:58:36.0454318Z warnings.warn(msg) 2025-08-26T19:58:36.0454465Z 2025-08-26T19:58:36.0455015Z --- Parse Warning: 19 / 146 --- 2025-08-26T19:58:36.0456848Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.set_result in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=211. 2025-08-26T19:58:36.0457357Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0457532Z 2025-08-26T19:58:36.0457929Z Set the result for this ``Future``, which will mark this ``Future`` as 2025-08-26T19:58:36.0458351Z completed and trigger all attached callbacks. Note that a ``Future`` 2025-08-26T19:58:36.0458576Z cannot be marked completed twice. 2025-08-26T19:58:36.0458728Z 2025-08-26T19:58:36.0459172Z If the result contains tensors that reside on GPUs, this method can be 2025-08-26T19:58:36.0459560Z called even if the asynchronous kernels that are populating those 2025-08-26T19:58:36.0459983Z tensors haven't yet completed running on the device, provided that the 2025-08-26T19:58:36.0460433Z streams on which those kernels were enqueued are set as the current ones 2025-08-26T19:58:36.0460838Z when this method is called. Put simply, it's safe to call this method 2025-08-26T19:58:36.0461266Z immediately after launching those kernels, without any additional 2025-08-26T19:58:36.0461708Z synchronization, as long as one doesn't change streams in between. This 2025-08-26T19:58:36.0462152Z method will record events on all the relevant current streams and will 2025-08-26T19:58:36.0462534Z use them to ensure proper scheduling for all the consumers of this 2025-08-26T19:58:36.0462697Z ``Future``. 2025-08-26T19:58:36.0462869Z 2025-08-26T19:58:36.0463021Z Args: 2025-08-26T19:58:36.0463322Z result (object): the result object of this ``Future``. 2025-08-26T19:58:36.0463488Z 2025-08-26T19:58:36.0463655Z Example:: 2025-08-26T19:58:36.0463819Z 2025-08-26T19:58:36.0464091Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2025-08-26T19:58:36.0464268Z >>> import threading 2025-08-26T19:58:36.0464453Z >>> import time 2025-08-26T19:58:36.0464660Z >>> def slow_set_future(fut, value): 2025-08-26T19:58:36.0464852Z ... time.sleep(0.5) 2025-08-26T19:58:36.0465039Z ... fut.set_result(value) 2025-08-26T19:58:36.0465238Z >>> fut = torch.futures.Future() 2025-08-26T19:58:36.0465560Z >>> t = threading.Thread( 2025-08-26T19:58:36.0465803Z ... target=slow_set_future, 2025-08-26T19:58:36.0466018Z ... args=(fut, torch.ones(2) * 3) 2025-08-26T19:58:36.0466170Z ... ) 2025-08-26T19:58:36.0466327Z >>> t.start() 2025-08-26T19:58:36.0466520Z >>> print(fut.wait()) 2025-08-26T19:58:36.0466687Z tensor([3., 3.]) 2025-08-26T19:58:36.0466846Z >>> t.join() 2025-08-26T19:58:36.0467007Z 2025-08-26T19:58:36.0467497Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0467668Z 2025-08-26T19:58:36.0467841Z warnings.warn(msg) 2025-08-26T19:58:36.0467987Z 2025-08-26T19:58:36.0468340Z --- Parse Warning: 20 / 146 --- 2025-08-26T19:58:36.0470112Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compile_shader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/mps/__init__.py line=145. 2025-08-26T19:58:36.0470741Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0471165Z Compiles compute shader from source and allows one to invoke kernels 2025-08-26T19:58:36.0471442Z defined there from the comfort of Python runtime 2025-08-26T19:58:36.0471627Z Example:: 2025-08-26T19:58:36.0471777Z 2025-08-26T19:58:36.0472043Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS) 2025-08-26T19:58:36.0472260Z >>> lib = torch.mps.compile_shader( 2025-08-26T19:58:36.0473019Z ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }" 2025-08-26T19:58:36.0473241Z ... ) 2025-08-26T19:58:36.0473452Z >>> x = torch.zeros(16, device="mps") 2025-08-26T19:58:36.0473648Z >>> lib.full(x, 3.14) 2025-08-26T19:58:36.0473804Z 2025-08-26T19:58:36.0474307Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0474479Z 2025-08-26T19:58:36.0474657Z warnings.warn(msg) 2025-08-26T19:58:36.0474832Z 2025-08-26T19:58:36.0475166Z --- Parse Warning: 21 / 146 --- 2025-08-26T19:58:36.0476843Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=sum in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py line=202. 2025-08-26T19:58:36.0477369Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0477668Z Return the sum of each row of the given sparse tensor. 2025-08-26T19:58:36.0477840Z 2025-08-26T19:58:36.0478273Z Returns the sum of each row of the sparse tensor :attr:`input` in the given 2025-08-26T19:58:36.0478641Z dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions, 2025-08-26T19:58:36.0479057Z reduce over all of them. When sum over all ``sparse_dim``, this method 2025-08-26T19:58:36.0479344Z returns a dense tensor instead of a sparse tensor. 2025-08-26T19:58:36.0479511Z 2025-08-26T19:58:36.0480007Z All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output 2025-08-26T19:58:36.0480371Z tensor having :attr:`dim` fewer dimensions than :attr:`input`. 2025-08-26T19:58:36.0480534Z 2025-08-26T19:58:36.0480958Z During backward, only gradients at ``nnz`` locations of :attr:`input` 2025-08-26T19:58:36.0481435Z will propagate back. Note that the gradients of :attr:`input` is coalesced. 2025-08-26T19:58:36.0481587Z 2025-08-26T19:58:36.0481744Z Args: 2025-08-26T19:58:36.0481986Z input (Tensor): the input sparse tensor 2025-08-26T19:58:36.0482509Z dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce 2025-08-26T19:58:36.0482698Z over all dims. 2025-08-26T19:58:36.0483244Z dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor. 2025-08-26T19:58:36.0483521Z Default: dtype of :attr:`input`. 2025-08-26T19:58:36.0483673Z 2025-08-26T19:58:36.0483836Z Example:: 2025-08-26T19:58:36.0484004Z 2025-08-26T19:58:36.0484165Z >>> nnz = 3 2025-08-26T19:58:36.0484337Z >>> dims = [5, 5, 2, 3] 2025-08-26T19:58:36.0484645Z >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)), 2025-08-26T19:58:36.0484993Z torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz) 2025-08-26T19:58:36.0485236Z >>> V = torch.randn(nnz, dims[2], dims[3]) 2025-08-26T19:58:36.0485429Z >>> size = torch.Size(dims) 2025-08-26T19:58:36.0485682Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-26T19:58:36.0485926Z >>> S = torch.sparse_coo_tensor(I, V, size) 2025-08-26T19:58:36.0486076Z >>> S 2025-08-26T19:58:36.0486305Z tensor(indices=tensor([[2, 0, 3], 2025-08-26T19:58:36.0486552Z [2, 4, 1]]), 2025-08-26T19:58:36.0486790Z values=tensor([[[-0.6438, -1.6467, 1.4004], 2025-08-26T19:58:36.0487003Z [ 0.3411, 0.0918, -0.2312]], 2025-08-26T19:58:36.0487155Z 2025-08-26T19:58:36.0487361Z [[ 0.5348, 0.0634, -2.0494], 2025-08-26T19:58:36.0487563Z [-0.7125, -1.0646, 2.1844]], 2025-08-26T19:58:36.0487711Z 2025-08-26T19:58:36.0487919Z [[ 0.1276, 0.1874, -0.6334], 2025-08-26T19:58:36.0488121Z [-1.9682, -0.5340, 0.7483]]]), 2025-08-26T19:58:36.0488396Z size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo) 2025-08-26T19:58:36.0488544Z 2025-08-26T19:58:36.0488904Z # when sum over only part of sparse_dims, return a sparse tensor 2025-08-26T19:58:36.0489129Z >>> torch.sparse.sum(S, [1, 3]) 2025-08-26T19:58:36.0489344Z tensor(indices=tensor([[0, 2, 3]]), 2025-08-26T19:58:36.0489562Z values=tensor([[-1.4512, 0.4073], 2025-08-26T19:58:36.0489743Z [-0.8901, 0.2017], 2025-08-26T19:58:36.0489934Z [-0.3183, -1.7539]]), 2025-08-26T19:58:36.0490196Z size=(5, 2), nnz=3, layout=torch.sparse_coo) 2025-08-26T19:58:36.0490345Z 2025-08-26T19:58:36.0490643Z # when sum over all sparse dim, return a dense tensor 2025-08-26T19:58:36.0490838Z # with summed dims squeezed 2025-08-26T19:58:36.0491047Z >>> torch.sparse.sum(S, [0, 1, 3]) 2025-08-26T19:58:36.0491246Z tensor([-2.6596, -1.1450]) 2025-08-26T19:58:36.0491400Z 2025-08-26T19:58:36.0491899Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0492053Z 2025-08-26T19:58:36.0492232Z warnings.warn(msg) 2025-08-26T19:58:36.0492398Z 2025-08-26T19:58:36.0492741Z --- Parse Warning: 22 / 146 --- 2025-08-26T19:58:36.0494597Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=as_sparse_gradcheck in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py line=550. 2025-08-26T19:58:36.0495115Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0495468Z Decorate function, to extend gradcheck for sparse tensors. 2025-08-26T19:58:36.0495637Z 2025-08-26T19:58:36.0496037Z Decorator for torch.autograd.gradcheck or its functools.partial 2025-08-26T19:58:36.0496460Z variants that extends the gradcheck function with support to input 2025-08-26T19:58:36.0496785Z functions that operate on or/and return sparse tensors. 2025-08-26T19:58:36.0496934Z 2025-08-26T19:58:36.0497383Z The specified gradcheck function itself is guaranteed to operate 2025-08-26T19:58:36.0497611Z on strided tensors only. 2025-08-26T19:58:36.0497780Z 2025-08-26T19:58:36.0497942Z For example: 2025-08-26T19:58:36.0498119Z 2025-08-26T19:58:36.0498598Z >>> gradcheck = torch.sparse.as_sparse_gradcheck(torch.autograd.gradcheck) 2025-08-26T19:58:36.0498750Z >>> x = ( 2025-08-26T19:58:36.0499034Z ... torch.tensor([[0, 1], [2, 3]], dtype=torch.float64) 2025-08-26T19:58:36.0499224Z ... .to_sparse_coo() 2025-08-26T19:58:36.0499408Z ... .requires_grad_(True) 2025-08-26T19:58:36.0499571Z ... ) 2025-08-26T19:58:36.0499808Z >>> gradcheck(lambda x: x.to_sparse_csr(), x) 2025-08-26T19:58:36.0499958Z True 2025-08-26T19:58:36.0500124Z 2025-08-26T19:58:36.0500607Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0500769Z 2025-08-26T19:58:36.0500944Z warnings.warn(msg) 2025-08-26T19:58:36.0501095Z 2025-08-26T19:58:36.0501513Z --- Parse Warning: 23 / 146 --- 2025-08-26T19:58:36.0503208Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=39. 2025-08-26T19:58:36.0503729Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0503882Z 2025-08-26T19:58:36.0504299Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-08-26T19:58:36.0504689Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-08-26T19:58:36.0505103Z pushes the map into PyTorch operations called by ``func``, effectively 2025-08-26T19:58:36.0505323Z vectorizing those operations. 2025-08-26T19:58:36.0505470Z 2025-08-26T19:58:36.0505876Z vmap is useful for handling batch dimensions: one can write a function 2025-08-26T19:58:36.0506277Z ``func`` that runs on examples and then lift it to a function that can 2025-08-26T19:58:36.0506690Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-08-26T19:58:36.0507022Z compute batched gradients when composed with autograd. 2025-08-26T19:58:36.0507217Z 2025-08-26T19:58:36.0507372Z .. note:: 2025-08-26T19:58:36.0507727Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-08-26T19:58:36.0507964Z convenience. Use whichever one you'd like. 2025-08-26T19:58:36.0508129Z 2025-08-26T19:58:36.0508288Z Args: 2025-08-26T19:58:36.0508688Z func (function): A Python function that takes one or more arguments. 2025-08-26T19:58:36.0508913Z Must return one or more Tensors. 2025-08-26T19:58:36.0509291Z in_dims (int or nested structure): Specifies which dimension of the 2025-08-26T19:58:36.0509624Z inputs should be mapped over. ``in_dims`` should have a 2025-08-26T19:58:36.0509994Z structure like the inputs. If the ``in_dim`` for a particular 2025-08-26T19:58:36.0510344Z input is None, then that indicates there is no map dimension. 2025-08-26T19:58:36.0510521Z Default: 0. 2025-08-26T19:58:36.0510886Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-08-26T19:58:36.0511265Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-08-26T19:58:36.0511551Z it should have one element per output. Default: 0. 2025-08-26T19:58:36.0511896Z randomness (str): Specifies whether the randomness in this 2025-08-26T19:58:36.0512312Z vmap should be the same or different across batches. If 'different', 2025-08-26T19:58:36.0512694Z the randomness for each batch will be different. If 'same', the 2025-08-26T19:58:36.0513184Z randomness will be the same across batches. If 'error', any calls to 2025-08-26T19:58:36.0513586Z random functions will error. Default: 'error'. WARNING: this flag 2025-08-26T19:58:36.0514118Z only applies to random PyTorch operations and does not apply to 2025-08-26T19:58:36.0514385Z Python's random module or numpy randomness. 2025-08-26T19:58:36.0514819Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-08-26T19:58:36.0515256Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-08-26T19:58:36.0515750Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-08-26T19:58:36.0516293Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-08-26T19:58:36.0516446Z 2025-08-26T19:58:36.0516603Z Returns: 2025-08-26T19:58:36.0516973Z Returns a new "batched" function. It takes the same inputs as 2025-08-26T19:58:36.0517316Z ``func``, except each input has an extra dimension at the index 2025-08-26T19:58:36.0517680Z specified by ``in_dims``. It takes returns the same outputs as 2025-08-26T19:58:36.0518178Z ``func``, except each output has an extra dimension at the index 2025-08-26T19:58:36.0518373Z specified by ``out_dims``. 2025-08-26T19:58:36.0518541Z 2025-08-26T19:58:36.0518697Z .. warning: 2025-08-26T19:58:36.0519075Z :func:`vmap` works best with functional-style code. Please do not 2025-08-26T19:58:36.0519438Z perform any side-effects in ``func``, with the exception of 2025-08-26T19:58:36.0519886Z in-place PyTorch operations. Examples of side-effects include mutating 2025-08-26T19:58:36.0520340Z Python data structures and assigning values to variables not captured 2025-08-26T19:58:36.0520497Z in ``func``. 2025-08-26T19:58:36.0520643Z 2025-08-26T19:58:36.0521109Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-08-26T19:58:36.0521523Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-08-26T19:58:36.0521969Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-08-26T19:58:36.0522115Z 2025-08-26T19:58:36.0522307Z >>> torch.dot # [D], [D] -> [] 2025-08-26T19:58:36.0522704Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-08-26T19:58:36.0522930Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-26T19:58:36.0523119Z >>> batched_dot(x, y) 2025-08-26T19:58:36.0523268Z 2025-08-26T19:58:36.0523701Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-08-26T19:58:36.0523908Z model authoring experience. 2025-08-26T19:58:36.0524056Z 2025-08-26T19:58:36.0524276Z >>> batch_size, feature_size = 3, 5 2025-08-26T19:58:36.0524605Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-26T19:58:36.0524804Z >>> 2025-08-26T19:58:36.0525005Z >>> def model(feature_vec): 2025-08-26T19:58:36.0525272Z >>> # Very simple linear model with activation 2025-08-26T19:58:36.0525524Z >>> return feature_vec.dot(weights).relu() 2025-08-26T19:58:36.0525678Z >>> 2025-08-26T19:58:36.0525951Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-26T19:58:36.0526190Z >>> result = torch.vmap(model)(examples) 2025-08-26T19:58:36.0526335Z 2025-08-26T19:58:36.0526825Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-08-26T19:58:36.0527269Z or impossible to batch. One example is higher-order gradient computation. 2025-08-26T19:58:36.0527705Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-08-26T19:58:36.0528158Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-08-26T19:58:36.0528629Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-08-26T19:58:36.0529093Z we can vectorize the whole computation, computing the Jacobian in a single 2025-08-26T19:58:36.0529318Z call to ``autograd.grad``. 2025-08-26T19:58:36.0529505Z 2025-08-26T19:58:36.0529682Z >>> # Setup 2025-08-26T19:58:36.0529833Z >>> N = 5 2025-08-26T19:58:36.0530017Z >>> f = lambda x: x**2 2025-08-26T19:58:36.0530238Z >>> x = torch.randn(N, requires_grad=True) 2025-08-26T19:58:36.0530392Z >>> y = f(x) 2025-08-26T19:58:36.0530580Z >>> I_N = torch.eye(N) 2025-08-26T19:58:36.0530735Z >>> 2025-08-26T19:58:36.0530921Z >>> # Sequential approach 2025-08-26T19:58:36.0531344Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-08-26T19:58:36.0531542Z >>> for v in I_N.unbind()] 2025-08-26T19:58:36.0531780Z >>> jacobian = torch.stack(jacobian_rows) 2025-08-26T19:58:36.0531937Z >>> 2025-08-26T19:58:36.0532150Z >>> # vectorized gradient computation 2025-08-26T19:58:36.0532337Z >>> def get_vjp(v): 2025-08-26T19:58:36.0532564Z >>> return torch.autograd.grad(y, x, v) 2025-08-26T19:58:36.0532866Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-08-26T19:58:36.0533020Z 2025-08-26T19:58:36.0533525Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-08-26T19:58:36.0533692Z 2025-08-26T19:58:36.0533885Z >>> torch.dot # [D], [D] -> [] 2025-08-26T19:58:36.0534100Z >>> batched_dot = torch.vmap( 2025-08-26T19:58:36.0534294Z ... torch.vmap(torch.dot) 2025-08-26T19:58:36.0534499Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-08-26T19:58:36.0534762Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-08-26T19:58:36.0534995Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-08-26T19:58:36.0535160Z 2025-08-26T19:58:36.0535626Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-08-26T19:58:36.0535912Z the dimension that each inputs are batched along as 2025-08-26T19:58:36.0536081Z 2025-08-26T19:58:36.0536270Z >>> torch.dot # [N], [N] -> [] 2025-08-26T19:58:36.0536711Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-08-26T19:58:36.0536938Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-26T19:58:36.0537107Z >>> batched_dot( 2025-08-26T19:58:36.0537283Z ... x, y 2025-08-26T19:58:36.0537639Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-08-26T19:58:36.0537789Z 2025-08-26T19:58:36.0538307Z If there are multiple inputs each of which is batched along different dimensions, 2025-08-26T19:58:36.0538677Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-08-26T19:58:36.0538849Z 2025-08-26T19:58:36.0539038Z >>> torch.dot # [D], [D] -> [] 2025-08-26T19:58:36.0539485Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-08-26T19:58:36.0539723Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-26T19:58:36.0539895Z >>> batched_dot( 2025-08-26T19:58:36.0540076Z ... x, y 2025-08-26T19:58:36.0540439Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-08-26T19:58:36.0540588Z 2025-08-26T19:58:36.0541058Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-08-26T19:58:36.0541263Z matching the shape of the input: 2025-08-26T19:58:36.0541433Z 2025-08-26T19:58:36.0541689Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-08-26T19:58:36.0541909Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-26T19:58:36.0542109Z >>> input = {"x": x, "y": y} 2025-08-26T19:58:36.0542437Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-08-26T19:58:36.0542634Z >>> batched_dot(input) 2025-08-26T19:58:36.0542780Z 2025-08-26T19:58:36.0543310Z By default, the output is batched along the first dimension. However, it can be batched 2025-08-26T19:58:36.0543599Z along any dimension by using ``out_dims`` 2025-08-26T19:58:36.0543793Z 2025-08-26T19:58:36.0543985Z >>> f = lambda x: x**2 2025-08-26T19:58:36.0544170Z >>> x = torch.randn(2, 5) 2025-08-26T19:58:36.0544400Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-08-26T19:58:36.0544599Z >>> batched_pow(x) # [5, 2] 2025-08-26T19:58:36.0544750Z 2025-08-26T19:58:36.0545160Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-08-26T19:58:36.0545250Z accept kwargs 2025-08-26T19:58:36.0545329Z 2025-08-26T19:58:36.0545443Z >>> x = torch.randn([2, 5]) 2025-08-26T19:58:36.0545538Z >>> def fn(x, scale=4.): 2025-08-26T19:58:36.0545634Z >>> return x * scale 2025-08-26T19:58:36.0545733Z >>> 2025-08-26T19:58:36.0545841Z >>> batched_pow = torch.vmap(fn) 2025-08-26T19:58:36.0546002Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-08-26T19:58:36.0546286Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-08-26T19:58:36.0546370Z 2025-08-26T19:58:36.0546478Z .. note:: 2025-08-26T19:58:36.0546701Z vmap does not provide general autobatching or handle variable-length 2025-08-26T19:58:36.0546819Z sequences out of the box. 2025-08-26T19:58:36.0546897Z 2025-08-26T19:58:36.0547150Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0547243Z 2025-08-26T19:58:36.0547342Z warnings.warn(msg) 2025-08-26T19:58:36.0547436Z 2025-08-26T19:58:36.0547656Z --- Parse Warning: 24 / 146 --- 2025-08-26T19:58:36.0548502Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=306. 2025-08-26T19:58:36.0548778Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0549019Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-08-26T19:58:36.0549235Z input(s) specified by ``argnums``. This operator can be nested to 2025-08-26T19:58:36.0549351Z compute higher-order gradients. 2025-08-26T19:58:36.0549431Z 2025-08-26T19:58:36.0549526Z Args: 2025-08-26T19:58:36.0549738Z func (Callable): A Python function that takes one or more arguments. 2025-08-26T19:58:36.0550013Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-08-26T19:58:36.0550280Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-08-26T19:58:36.0550379Z ``(output, aux)``. 2025-08-26T19:58:36.0550670Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-08-26T19:58:36.0550874Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-08-26T19:58:36.0551110Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-08-26T19:58:36.0551278Z auxiliary objects: ``(output, aux)``. Default: False. 2025-08-26T19:58:36.0551361Z 2025-08-26T19:58:36.0551465Z Returns: 2025-08-26T19:58:36.0551749Z Function to compute gradients with respect to its inputs. By default, the output of 2025-08-26T19:58:36.0552003Z the function is the gradient tensor(s) with respect to the first argument. 2025-08-26T19:58:36.0552276Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-08-26T19:58:36.0552527Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-08-26T19:58:36.0552688Z respect to each ``argnums`` value is returned. 2025-08-26T19:58:36.0552771Z 2025-08-26T19:58:36.0552892Z Example of using ``grad``: 2025-08-26T19:58:36.0553002Z 2025-08-26T19:58:36.0553176Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0553341Z >>> from torch.func import grad 2025-08-26T19:58:36.0553442Z >>> x = torch.randn([]) 2025-08-26T19:58:36.0553586Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-08-26T19:58:36.0553713Z >>> assert torch.allclose(cos_x, x.cos()) 2025-08-26T19:58:36.0553798Z >>> 2025-08-26T19:58:36.0553921Z >>> # Second-order gradients 2025-08-26T19:58:36.0554070Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-08-26T19:58:36.0554220Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-08-26T19:58:36.0554301Z 2025-08-26T19:58:36.0554737Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-08-26T19:58:36.0554838Z 2025-08-26T19:58:36.0554939Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0555078Z >>> from torch.func import grad, vmap 2025-08-26T19:58:36.0555198Z >>> batch_size, feature_size = 3, 5 2025-08-26T19:58:36.0555381Z >>> 2025-08-26T19:58:36.0555520Z >>> def model(weights, feature_vec): 2025-08-26T19:58:36.0555657Z >>> # Very simple linear model with activation 2025-08-26T19:58:36.0555791Z >>> assert feature_vec.dim() == 1 2025-08-26T19:58:36.0555921Z >>> return feature_vec.dot(weights).relu() 2025-08-26T19:58:36.0556006Z >>> 2025-08-26T19:58:36.0556164Z >>> def compute_loss(weights, example, target): 2025-08-26T19:58:36.0556278Z >>> y = model(weights, example) 2025-08-26T19:58:36.0556434Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-08-26T19:58:36.0556522Z >>> 2025-08-26T19:58:36.0556695Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-26T19:58:36.0556861Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-26T19:58:36.0556977Z >>> targets = torch.randn(batch_size) 2025-08-26T19:58:36.0557122Z >>> inputs = (weights, examples, targets) 2025-08-26T19:58:36.0557358Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-08-26T19:58:36.0557448Z ... *inputs 2025-08-26T19:58:36.0557547Z ... ) 2025-08-26T19:58:36.0557626Z 2025-08-26T19:58:36.0557803Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-08-26T19:58:36.0557898Z 2025-08-26T19:58:36.0557997Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0558124Z >>> from torch.func import grad 2025-08-26T19:58:36.0558233Z >>> def my_loss_func(y, y_pred): 2025-08-26T19:58:36.0558363Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-08-26T19:58:36.0558495Z >>> loss = loss_per_sample.mean() 2025-08-26T19:58:36.0558622Z >>> return loss, (y_pred, loss_per_sample) 2025-08-26T19:58:36.0558720Z >>> 2025-08-26T19:58:36.0558876Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-08-26T19:58:36.0558981Z >>> y_true = torch.rand(4) 2025-08-26T19:58:36.0559130Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-08-26T19:58:36.0559235Z >>> out = fn(y_true, y_preds) 2025-08-26T19:58:36.0559492Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-08-26T19:58:36.0559572Z 2025-08-26T19:58:36.0559663Z .. note:: 2025-08-26T19:58:36.0559847Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-08-26T19:58:36.0559928Z 2025-08-26T19:58:36.0560090Z Case 1: Using ``torch.no_grad`` inside a function: 2025-08-26T19:58:36.0560168Z 2025-08-26T19:58:36.0560270Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0560378Z >>> def f(x): 2025-08-26T19:58:36.0560488Z >>> with torch.no_grad(): 2025-08-26T19:58:36.0560635Z >>> c = x ** 2 2025-08-26T19:58:36.0560734Z >>> return x - c 2025-08-26T19:58:36.0560852Z 2025-08-26T19:58:36.0561068Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-08-26T19:58:36.0561148Z 2025-08-26T19:58:36.0561330Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-08-26T19:58:36.0561427Z 2025-08-26T19:58:36.0561526Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0561645Z >>> with torch.no_grad(): 2025-08-26T19:58:36.0561737Z >>> grad(f)(x) 2025-08-26T19:58:36.0561817Z 2025-08-26T19:58:36.0562050Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-08-26T19:58:36.0562267Z outer one. This is because ``grad`` is a "function transform": its result 2025-08-26T19:58:36.0562502Z should not depend on the result of a context manager outside of ``f``. 2025-08-26T19:58:36.0562584Z 2025-08-26T19:58:36.0562667Z 2025-08-26T19:58:36.0562999Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0563081Z 2025-08-26T19:58:36.0563191Z warnings.warn(msg) 2025-08-26T19:58:36.0563271Z 2025-08-26T19:58:36.0563491Z --- Parse Warning: 25 / 146 --- 2025-08-26T19:58:36.0564475Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py line=397. 2025-08-26T19:58:36.0564724Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:36.0564919Z Register a FakeTensor implementation for this custom op. 2025-08-26T19:58:36.0565000Z 2025-08-26T19:58:36.0565248Z This is necessary to get the operator to work efficiently with torch.compile. 2025-08-26T19:58:36.0565344Z 2025-08-26T19:58:36.0565571Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-08-26T19:58:36.0565817Z specifies the behavior of this operator on Tensors that carry no data. 2025-08-26T19:58:36.0565970Z Given some input Tensors with certain properties 2025-08-26T19:58:36.0566230Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-08-26T19:58:36.0566358Z the output Tensors are. 2025-08-26T19:58:36.0566442Z 2025-08-26T19:58:36.0566662Z Please see :func:`torch.library.register_fake` for more details. 2025-08-26T19:58:36.0566742Z 2025-08-26T19:58:36.0566825Z Args: 2025-08-26T19:58:36.0567012Z fn (Callable): The function to register as the FakeTensor 2025-08-26T19:58:36.0567113Z implementation. 2025-08-26T19:58:36.0567210Z 2025-08-26T19:58:36.0567298Z Examples: 2025-08-26T19:58:36.0567393Z >>> import torch 2025-08-26T19:58:36.0567517Z >>> import numpy as np 2025-08-26T19:58:36.0567633Z >>> from torch import Tensor 2025-08-26T19:58:36.0567732Z >>> 2025-08-26T19:58:36.0567923Z >>> # Example 1: an operator without data-dependent output shape 2025-08-26T19:58:36.0568114Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-08-26T19:58:36.0568320Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-26T19:58:36.0568441Z >>> return (x @ weight.t()) + bias 2025-08-26T19:58:36.0568550Z >>> 2025-08-26T19:58:36.0568660Z >>> @linear.register_fake 2025-08-26T19:58:36.0568767Z >>> def _(x, weight, bias): 2025-08-26T19:58:36.0568887Z >>> assert x.dim() == 2 2025-08-26T19:58:36.0569004Z >>> assert weight.dim() == 2 2025-08-26T19:58:36.0569131Z >>> assert bias.dim() == 1 2025-08-26T19:58:36.0569295Z >>> assert x.shape[1] == weight.shape[1] 2025-08-26T19:58:36.0569456Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-26T19:58:36.0569595Z >>> assert x.device == weight.device 2025-08-26T19:58:36.0569743Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-08-26T19:58:36.0569845Z >>> 2025-08-26T19:58:36.0569953Z >>> x = torch.randn(2, 2) 2025-08-26T19:58:36.0570066Z >>> weight = torch.randn(2, 2) 2025-08-26T19:58:36.0570186Z >>> bias = torch.randn(2) 2025-08-26T19:58:36.0570323Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T19:58:36.0570532Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-08-26T19:58:36.0570670Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T19:58:36.0570921Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-08-26T19:58:36.0571025Z >>> 2025-08-26T19:58:36.0571257Z >>> # Example 2: an operator with data-dependent output shape 2025-08-26T19:58:36.0571474Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-08-26T19:58:36.0571598Z >>> def nonzero(x: Tensor) -> Tensor: 2025-08-26T19:58:36.0571709Z >>> x_np = x.cpu().numpy() 2025-08-26T19:58:36.0571862Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-26T19:58:36.0572003Z >>> return torch.tensor(res, device=x.device) 2025-08-26T19:58:36.0572105Z >>> 2025-08-26T19:58:36.0572218Z >>> @nonzero.register_fake 2025-08-26T19:58:36.0572313Z >>> def _(x): 2025-08-26T19:58:36.0572482Z >>> # Number of nonzero-elements is data-dependent. 2025-08-26T19:58:36.0572656Z >>> # Since we cannot peek at the data in an abstract impl, 2025-08-26T19:58:36.0572838Z >>> # we use the ctx object to construct a new symint that 2025-08-26T19:58:36.0572971Z >>> # represents the data-dependent size. 2025-08-26T19:58:36.0573093Z >>> ctx = torch.library.get_ctx() 2025-08-26T19:58:36.0573234Z >>> nnz = ctx.new_dynamic_size() 2025-08-26T19:58:36.0573345Z >>> shape = [nnz, x.dim()] 2025-08-26T19:58:36.0573509Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-26T19:58:36.0573610Z >>> return result 2025-08-26T19:58:36.0573697Z >>> 2025-08-26T19:58:36.0573832Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-08-26T19:58:36.0573968Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T19:58:36.0574128Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-08-26T19:58:36.0574263Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T19:58:36.0574401Z >>> assert torch.allclose(out, x.nonzero()) 2025-08-26T19:58:36.0574499Z 2025-08-26T19:58:36.0574581Z 2025-08-26T19:58:36.0575131Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-08-26T19:58:36.0575210Z 2025-08-26T19:58:36.0575294Z _._ = None 2025-08-26T19:58:36.0575392Z ^ 2025-08-26T19:58:36.0575488Z warnings.warn(msg) 2025-08-26T19:58:36.0575567Z 2025-08-26T19:58:36.0575782Z --- Parse Warning: 26 / 146 --- 2025-08-26T19:58:36.0576756Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_profile.py line=94. 2025-08-26T19:58:36.0577035Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0577145Z 2025-08-26T19:58:36.0577393Z Registers a fake kernel based on the given operator profiles. This fake 2025-08-26T19:58:36.0577670Z kernel registration will override any existing fake kernel registrations. 2025-08-26T19:58:36.0577751Z 2025-08-26T19:58:36.0577975Z The input is a dictionary mapping operator names to a set of operator 2025-08-26T19:58:36.0578211Z profiles, which we will use to generate fake kernels. The operator profiles 2025-08-26T19:58:36.0578424Z are a record of the input and output tensor metadata. Based on this 2025-08-26T19:58:36.0578662Z information we will match a given input to the recorded profile, and return 2025-08-26T19:58:36.0578887Z an output with the same metadata as in the recorded profile. If a profile 2025-08-26T19:58:36.0579042Z doesn't exist then an exception will be thrown. 2025-08-26T19:58:36.0579122Z 2025-08-26T19:58:36.0579368Z The fake kernel generation is considered unsafe because it relies on the 2025-08-26T19:58:36.0579688Z rigid, pre-defined operator profiles that do not account for potential 2025-08-26T19:58:36.0579943Z variations in output behavior. Specifically, the generated kernels assume a 2025-08-26T19:58:36.0580214Z fixed relationship between input and output ranks. However, in reality, it's 2025-08-26T19:58:36.0580455Z possible that data-dependent operations may produce outputs of different 2025-08-26T19:58:36.0580694Z ranks even when given inputs of the same rank. The generated fake kernels 2025-08-26T19:58:36.0580910Z are inflexible and unable to accommodate these nuances, making them 2025-08-26T19:58:36.0581014Z potentially unsafe. 2025-08-26T19:58:36.0581114Z 2025-08-26T19:58:36.0581198Z Args: 2025-08-26T19:58:36.0581435Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-08-26T19:58:36.0581636Z name to a set of operator profiles from which we will generate fake 2025-08-26T19:58:36.0581722Z kernels. 2025-08-26T19:58:36.0581820Z 2025-08-26T19:58:36.0581906Z Examples: 2025-08-26T19:58:36.0582004Z 2025-08-26T19:58:36.0582175Z >>> # Example: Registering an op-profile from draft-export 2025-08-26T19:58:36.0582267Z >>> import torch 2025-08-26T19:58:36.0582442Z >>> from torch.export._draft_export import draft_export 2025-08-26T19:58:36.0582525Z >>> 2025-08-26T19:58:36.0582705Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-08-26T19:58:36.0582850Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-08-26T19:58:36.0582944Z >>> return x + y 2025-08-26T19:58:36.0583039Z >>> 2025-08-26T19:58:36.0583145Z >>> class M(torch.nn.Module): 2025-08-26T19:58:36.0583250Z >>> def forward(self, a, b): 2025-08-26T19:58:36.0583412Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-08-26T19:58:36.0583506Z >>> return res 2025-08-26T19:58:36.0583603Z >>> 2025-08-26T19:58:36.0583782Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-08-26T19:58:36.0583868Z >>> 2025-08-26T19:58:36.0584181Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-08-26T19:58:36.0584307Z >>> decomp = ep.run_decompositions() 2025-08-26T19:58:36.0584402Z 2025-08-26T19:58:36.0584483Z 2025-08-26T19:58:36.0584739Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0584836Z 2025-08-26T19:58:36.0584933Z warnings.warn(msg) 2025-08-26T19:58:36.0585027Z 2025-08-26T19:58:36.0585221Z --- Parse Warning: 27 / 146 --- 2025-08-26T19:58:36.0586082Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=triton_op in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=96. 2025-08-26T19:58:36.0586360Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0586674Z Create a custom operator whose implementation is backed by 1+ triton kernels. 2025-08-26T19:58:36.0586773Z 2025-08-26T19:58:36.0586980Z This is a more structured way of using triton kernels with PyTorch. 2025-08-26T19:58:36.0587237Z Prefer using triton kernels with no ``torch.library`` custom operator wrappers 2025-08-26T19:58:36.0587505Z (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because 2025-08-26T19:58:36.0587601Z that is simpler; 2025-08-26T19:58:36.0587863Z only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you 2025-08-26T19:58:36.0588091Z want to create an operator that behaves like PyTorch built-in operators. 2025-08-26T19:58:36.0588302Z For example, you may use a ``torch.library`` wrapper API to define the 2025-08-26T19:58:36.0588530Z behavior of the triton kernel when passed a tensor subclass or under 2025-08-26T19:58:36.0588634Z a TorchDispatchMode. 2025-08-26T19:58:36.0588782Z 2025-08-26T19:58:36.0589032Z Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op` 2025-08-26T19:58:36.0589136Z when the implementation 2025-08-26T19:58:36.0589366Z consists of 1+ triton kernels. :func:`torch.library.custom_op` treats 2025-08-26T19:58:36.0589536Z custom operators as opaque (:func:`torch.compile` and 2025-08-26T19:58:36.0589782Z :func:`torch.export.export` will never trace into them), but ``triton_op`` 2025-08-26T19:58:36.0590003Z makes the implementation visible to these subsystems, allowing them 2025-08-26T19:58:36.0590117Z to optimize the triton kernel(s). 2025-08-26T19:58:36.0590212Z 2025-08-26T19:58:36.0590401Z Note that ``fn`` must only consist of calls to PyTorch-understood 2025-08-26T19:58:36.0590642Z operators and triton kernels. Any triton kernels called inside ``fn`` 2025-08-26T19:58:36.0590835Z must be wrapped in a call to :func:`torch.library.wrap_triton`. 2025-08-26T19:58:36.0590922Z 2025-08-26T19:58:36.0591021Z Args: 2025-08-26T19:58:36.0591244Z name (str): A name for the custom op that looks like "{namespace}::{name}", 2025-08-26T19:58:36.0591467Z e.g. "mylib::my_linear". The name is used as the op's stable identifier 2025-08-26T19:58:36.0591634Z in PyTorch subsystems (e.g. torch.export, FX graphs). 2025-08-26T19:58:36.0591882Z To avoid name collisions, please use your project name as the namespace; 2025-08-26T19:58:36.0592087Z e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace. 2025-08-26T19:58:36.0592360Z mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates. 2025-08-26T19:58:36.0592611Z This MUST be accurate, otherwise, the behavior is undefined. If "unknown", 2025-08-26T19:58:36.0592873Z it pessimistically assumes that all inputs to the operator are being mutated. 2025-08-26T19:58:36.0593161Z schema (None | str): A schema string for the operator. If None 2025-08-26T19:58:36.0593370Z (recommended) we'll infer a schema for the operator from its type 2025-08-26T19:58:36.0593574Z annotations. We recommend letting us infer a schema unless you 2025-08-26T19:58:36.0593704Z have a specific reason not to. 2025-08-26T19:58:36.0593853Z Example: "(Tensor x, int y) -> (Tensor, Tensor)". 2025-08-26T19:58:36.0593950Z 2025-08-26T19:58:36.0594041Z Example:: 2025-08-26T19:58:36.0594119Z 2025-08-26T19:58:36.0594272Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T19:58:36.0594367Z >>> import torch 2025-08-26T19:58:36.0594541Z >>> from torch.library import triton_op, wrap_triton 2025-08-26T19:58:36.0594626Z >>> 2025-08-26T19:58:36.0594724Z >>> import triton 2025-08-26T19:58:36.0594901Z >>> from triton import language as tl 2025-08-26T19:58:36.0595025Z >>> 2025-08-26T19:58:36.0595168Z >>> @triton.jit 2025-08-26T19:58:36.0595278Z >>> def add_kernel( 2025-08-26T19:58:36.0595368Z >>> in_ptr0, 2025-08-26T19:58:36.0595473Z >>> in_ptr1, 2025-08-26T19:58:36.0595561Z >>> out_ptr, 2025-08-26T19:58:36.0595654Z >>> n_elements, 2025-08-26T19:58:36.0595782Z >>> BLOCK_SIZE: "tl.constexpr", 2025-08-26T19:58:36.0595868Z >>> ): 2025-08-26T19:58:36.0595998Z >>> pid = tl.program_id(axis=0) 2025-08-26T19:58:36.0596160Z >>> block_start = pid * BLOCK_SIZE 2025-08-26T19:58:36.0596313Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2025-08-26T19:58:36.0596438Z >>> mask = offsets < n_elements 2025-08-26T19:58:36.0596567Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2025-08-26T19:58:36.0596766Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2025-08-26T19:58:36.0596869Z >>> output = x + y 2025-08-26T19:58:36.0597014Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2025-08-26T19:58:36.0597111Z >>> 2025-08-26T19:58:36.0597242Z >>> @triton_op("mylib::add", mutates_args={}) 2025-08-26T19:58:36.0597441Z >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor: 2025-08-26T19:58:36.0597559Z >>> output = torch.empty_like(x) 2025-08-26T19:58:36.0597672Z >>> n_elements = output.numel() 2025-08-26T19:58:36.0597769Z >>> 2025-08-26T19:58:36.0597869Z >>> def grid(meta): 2025-08-26T19:58:36.0598053Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2025-08-26T19:58:36.0598136Z >>> 2025-08-26T19:58:36.0598317Z >>> # NB: we need to wrap the triton kernel in a call to wrap_triton 2025-08-26T19:58:36.0598524Z >>> wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16) 2025-08-26T19:58:36.0598626Z >>> return output 2025-08-26T19:58:36.0598727Z >>> 2025-08-26T19:58:36.0598825Z >>> @torch.compile 2025-08-26T19:58:36.0598919Z >>> def f(x, y): 2025-08-26T19:58:36.0599037Z >>> return add(x, y) 2025-08-26T19:58:36.0599122Z >>> 2025-08-26T19:58:36.0601725Z >>> x = torch.randn(3, device="cuda") 2025-08-26T19:58:36.0601883Z >>> y = torch.randn(3, device="cuda") 2025-08-26T19:58:36.0601969Z >>> 2025-08-26T19:58:36.0602065Z >>> z = f(x, y) 2025-08-26T19:58:36.0602204Z >>> assert torch.allclose(z, x + y) 2025-08-26T19:58:36.0602286Z 2025-08-26T19:58:36.0602386Z 2025-08-26T19:58:36.0602646Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0602728Z 2025-08-26T19:58:36.0602849Z warnings.warn(msg) 2025-08-26T19:58:36.0602933Z 2025-08-26T19:58:36.0603188Z --- Parse Warning: 28 / 146 --- 2025-08-26T19:58:36.0604067Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=wrap_triton in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=296. 2025-08-26T19:58:36.0604333Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0604573Z Allows capture of a triton kernel into a graph via make_fx or 2025-08-26T19:58:36.0604686Z non-strict ``torch.export``. 2025-08-26T19:58:36.0604786Z 2025-08-26T19:58:36.0604973Z These technologies perform Dispatcher-based tracing (via 2025-08-26T19:58:36.0605173Z ``__torch_dispatch__``) and cannot see calls to raw triton kernels. 2025-08-26T19:58:36.0605389Z The ``wrap_triton`` API wraps a triton kernel into a callable that 2025-08-26T19:58:36.0605559Z can actually be traced into a graph. 2025-08-26T19:58:36.0605693Z 2025-08-26T19:58:36.0605908Z Please use this API together with :func:`torch.library.triton_op`. 2025-08-26T19:58:36.0605991Z 2025-08-26T19:58:36.0606097Z Examples: 2025-08-26T19:58:36.0606178Z 2025-08-26T19:58:36.0606279Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0606391Z >>> import torch 2025-08-26T19:58:36.0606489Z >>> import triton 2025-08-26T19:58:36.0606628Z >>> from triton import language as tl 2025-08-26T19:58:36.0606809Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-08-26T19:58:36.0606937Z >>> from torch.library import wrap_triton 2025-08-26T19:58:36.0607038Z >>> 2025-08-26T19:58:36.0607129Z >>> @triton.jit 2025-08-26T19:58:36.0607239Z >>> def add_kernel( 2025-08-26T19:58:36.0607329Z >>> in_ptr0, 2025-08-26T19:58:36.0607415Z >>> in_ptr1, 2025-08-26T19:58:36.0607520Z >>> out_ptr, 2025-08-26T19:58:36.0607640Z >>> n_elements, 2025-08-26T19:58:36.0607771Z >>> BLOCK_SIZE: "tl.constexpr", 2025-08-26T19:58:36.0607855Z >>> ): 2025-08-26T19:58:36.0607966Z >>> pid = tl.program_id(axis=0) 2025-08-26T19:58:36.0608097Z >>> block_start = pid * BLOCK_SIZE 2025-08-26T19:58:36.0608244Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2025-08-26T19:58:36.0608370Z >>> mask = offsets < n_elements 2025-08-26T19:58:36.0608499Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2025-08-26T19:58:36.0608626Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2025-08-26T19:58:36.0608735Z >>> output = x + y 2025-08-26T19:58:36.0608880Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2025-08-26T19:58:36.0608978Z >>> 2025-08-26T19:58:36.0609072Z >>> def add(x, y): 2025-08-26T19:58:36.0609190Z >>> output = torch.empty_like(x) 2025-08-26T19:58:36.0609321Z >>> n_elements = output.numel() 2025-08-26T19:58:36.0609404Z >>> 2025-08-26T19:58:36.0609505Z >>> def grid_fn(meta): 2025-08-26T19:58:36.0609693Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2025-08-26T19:58:36.0609774Z >>> 2025-08-26T19:58:36.0610051Z >>> wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16) 2025-08-26T19:58:36.0610150Z >>> return output 2025-08-26T19:58:36.0610232Z >>> 2025-08-26T19:58:36.0610362Z >>> x = torch.randn(3, device="cuda") 2025-08-26T19:58:36.0610476Z >>> y = torch.randn(3, device="cuda") 2025-08-26T19:58:36.0610592Z >>> gm = make_fx(add)(x, y) 2025-08-26T19:58:36.0610688Z >>> print(gm.code) 2025-08-26T19:58:36.0610800Z >>> # def forward(self, x_1, y_1): 2025-08-26T19:58:36.0611057Z >>> # empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False) 2025-08-26T19:58:36.0611301Z >>> # triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation( 2025-08-26T19:58:36.0611450Z >>> # kernel_idx = 0, constant_args_idx = 0, 2025-08-26T19:58:36.0611566Z >>> # grid = [(1, 1, 1)], kwargs = { 2025-08-26T19:58:36.0611720Z >>> # 'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like, 2025-08-26T19:58:36.0611863Z >>> # 'n_elements': 3, 'BLOCK_SIZE': 16 2025-08-26T19:58:36.0611954Z >>> # }) 2025-08-26T19:58:36.0612069Z >>> # return empty_like 2025-08-26T19:58:36.0612149Z 2025-08-26T19:58:36.0612230Z 2025-08-26T19:58:36.0612500Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0612581Z 2025-08-26T19:58:36.0612689Z warnings.warn(msg) 2025-08-26T19:58:36.0612799Z 2025-08-26T19:58:36.0613003Z --- Parse Warning: 29 / 146 --- 2025-08-26T19:58:36.0613985Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=print_assert_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=286. 2025-08-26T19:58:36.0614249Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0614350Z 2025-08-26T19:58:36.0614576Z Test if two objects are equal, and print an error message if test fails. 2025-08-26T19:58:36.0614657Z 2025-08-26T19:58:36.0614819Z The test is performed with ``actual == desired``. 2025-08-26T19:58:36.0614900Z 2025-08-26T19:58:36.0615003Z Parameters 2025-08-26T19:58:36.0615090Z ---------- 2025-08-26T19:58:36.0615182Z test_string : str 2025-08-26T19:58:36.0615324Z The message supplied to AssertionError. 2025-08-26T19:58:36.0615410Z actual : object 2025-08-26T19:58:36.0615591Z The object to test for equality against `desired`. 2025-08-26T19:58:36.0615698Z desired : object 2025-08-26T19:58:36.0615797Z The expected result. 2025-08-26T19:58:36.0615892Z 2025-08-26T19:58:36.0615975Z Examples 2025-08-26T19:58:36.0616059Z -------- 2025-08-26T19:58:36.0616188Z >>> np.testing.print_assert_equal( 2025-08-26T19:58:36.0616304Z ... "Test XYZ of func xyz", [0, 1], [0, 1] 2025-08-26T19:58:36.0616417Z ... ) # doctest: +SKIP 2025-08-26T19:58:36.0616530Z >>> np.testing.print_assert_equal( 2025-08-26T19:58:36.0616645Z ... "Test XYZ of func xyz", [0, 1], [0, 2] 2025-08-26T19:58:36.0616754Z ... ) # doctest: +SKIP 2025-08-26T19:58:36.0616866Z Traceback (most recent call last): 2025-08-26T19:58:36.0616962Z ... 2025-08-26T19:58:36.0617088Z AssertionError: Test XYZ of func xyz failed 2025-08-26T19:58:36.0617171Z ACTUAL: 2025-08-26T19:58:36.0617268Z [0, 1] 2025-08-26T19:58:36.0617353Z DESIRED: 2025-08-26T19:58:36.0617433Z [0, 2] 2025-08-26T19:58:36.0617529Z 2025-08-26T19:58:36.0617608Z 2025-08-26T19:58:36.0617879Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0617958Z 2025-08-26T19:58:36.0618054Z warnings.warn(msg) 2025-08-26T19:58:36.0618147Z 2025-08-26T19:58:36.0618337Z --- Parse Warning: 30 / 146 --- 2025-08-26T19:58:36.0619333Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=331. 2025-08-26T19:58:36.0619598Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0619676Z 2025-08-26T19:58:36.0619895Z Raises an AssertionError if two items are not equal up to desired 2025-08-26T19:58:36.0619984Z precision. 2025-08-26T19:58:36.0620079Z 2025-08-26T19:58:36.0620262Z .. note:: It is recommended to use one of `assert_allclose`, 2025-08-26T19:58:36.0620446Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-08-26T19:58:36.0620648Z instead of this function for more consistent floating point 2025-08-26T19:58:36.0620745Z comparisons. 2025-08-26T19:58:36.0620842Z 2025-08-26T19:58:36.0621056Z The test verifies that the elements of `actual` and `desired` satisfy. 2025-08-26T19:58:36.0621139Z 2025-08-26T19:58:36.0621315Z ``abs(desired-actual) < float64(1.5 * 10**(-decimal))`` 2025-08-26T19:58:36.0621396Z 2025-08-26T19:58:36.0621637Z That is a looser test than originally documented, but agrees with what the 2025-08-26T19:58:36.0621869Z actual implementation in `assert_array_almost_equal` did up to rounding 2025-08-26T19:58:36.0622105Z vagaries. An exception is raised at conflicting values. For ndarrays this 2025-08-26T19:58:36.0622236Z delegates to assert_array_almost_equal 2025-08-26T19:58:36.0622346Z 2025-08-26T19:58:36.0622475Z Parameters 2025-08-26T19:58:36.0622558Z ---------- 2025-08-26T19:58:36.0622651Z actual : array_like 2025-08-26T19:58:36.0622764Z The object to check. 2025-08-26T19:58:36.0622861Z desired : array_like 2025-08-26T19:58:36.0622958Z The expected object. 2025-08-26T19:58:36.0623068Z decimal : int, optional 2025-08-26T19:58:36.0623183Z Desired precision, default is 7. 2025-08-26T19:58:36.0623294Z err_msg : str, optional 2025-08-26T19:58:36.0623449Z The error message to be printed in case of failure. 2025-08-26T19:58:36.0623545Z verbose : bool, optional 2025-08-26T19:58:36.0623763Z If True, the conflicting values are appended to the error message. 2025-08-26T19:58:36.0623842Z 2025-08-26T19:58:36.0623944Z Raises 2025-08-26T19:58:36.0624028Z ------ 2025-08-26T19:58:36.0624122Z AssertionError 2025-08-26T19:58:36.0624331Z If actual and desired are not equal up to specified precision. 2025-08-26T19:58:36.0624416Z 2025-08-26T19:58:36.0624532Z See Also 2025-08-26T19:58:36.0624642Z -------- 2025-08-26T19:58:36.0624881Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-26T19:58:36.0625025Z relative and/or absolute precision. 2025-08-26T19:58:36.0625236Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-26T19:58:36.0625318Z 2025-08-26T19:58:36.0625415Z Examples 2025-08-26T19:58:36.0625503Z -------- 2025-08-26T19:58:36.0625681Z >>> from torch._numpy.testing import assert_almost_equal 2025-08-26T19:58:36.0625813Z >>> assert_almost_equal(2.3333333333333, 2.33333334) 2025-08-26T19:58:36.0625983Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10) 2025-08-26T19:58:36.0626105Z Traceback (most recent call last): 2025-08-26T19:58:36.0626187Z ... 2025-08-26T19:58:36.0626293Z AssertionError: 2025-08-26T19:58:36.0626419Z Arrays are not almost equal to 10 decimals 2025-08-26T19:58:36.0626516Z ACTUAL: 2.3333333333333 2025-08-26T19:58:36.0626623Z DESIRED: 2.33333334 2025-08-26T19:58:36.0626704Z 2025-08-26T19:58:36.0626799Z >>> assert_almost_equal( 2025-08-26T19:58:36.0627028Z ... np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9 2025-08-26T19:58:36.0627110Z ... ) 2025-08-26T19:58:36.0627237Z Traceback (most recent call last): 2025-08-26T19:58:36.0627322Z ... 2025-08-26T19:58:36.0627459Z AssertionError: 2025-08-26T19:58:36.0627601Z Arrays are not almost equal to 9 decimals 2025-08-26T19:58:36.0627690Z 2025-08-26T19:58:36.0627814Z Mismatched elements: 1 / 2 (50%) 2025-08-26T19:58:36.0627947Z Max absolute difference: 6.666699636781459e-09 2025-08-26T19:58:36.0628080Z Max relative difference: 2.8571569790287484e-09 2025-08-26T19:58:36.0628237Z x: torch.ndarray([1.0000, 2.3333], dtype=float64) 2025-08-26T19:58:36.0628374Z y: torch.ndarray([1.0000, 2.3333], dtype=float64) 2025-08-26T19:58:36.0628476Z 2025-08-26T19:58:36.0628559Z 2025-08-26T19:58:36.0628817Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0628916Z 2025-08-26T19:58:36.0629015Z warnings.warn(msg) 2025-08-26T19:58:36.0629097Z 2025-08-26T19:58:36.0629310Z --- Parse Warning: 31 / 146 --- 2025-08-26T19:58:36.0630252Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_approx_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=457. 2025-08-26T19:58:36.0630535Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0630620Z 2025-08-26T19:58:36.0630861Z Raises an AssertionError if two items are not equal up to significant 2025-08-26T19:58:36.0630952Z digits. 2025-08-26T19:58:36.0631065Z 2025-08-26T19:58:36.0631259Z .. note:: It is recommended to use one of `assert_allclose`, 2025-08-26T19:58:36.0631469Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-08-26T19:58:36.0631671Z instead of this function for more consistent floating point 2025-08-26T19:58:36.0631770Z comparisons. 2025-08-26T19:58:36.0631852Z 2025-08-26T19:58:36.0632059Z Given two numbers, check that they are approximately equal. 2025-08-26T19:58:36.0632283Z Approximately equal is defined as the number of significant digits 2025-08-26T19:58:36.0632389Z that agree. 2025-08-26T19:58:36.0632469Z 2025-08-26T19:58:36.0632557Z Parameters 2025-08-26T19:58:36.0632658Z ---------- 2025-08-26T19:58:36.0632748Z actual : scalar 2025-08-26T19:58:36.0632846Z The object to check. 2025-08-26T19:58:36.0632951Z desired : scalar 2025-08-26T19:58:36.0633165Z The expected object. 2025-08-26T19:58:36.0633288Z significant : int, optional 2025-08-26T19:58:36.0633406Z Desired precision, default is 7. 2025-08-26T19:58:36.0633542Z err_msg : str, optional 2025-08-26T19:58:36.0633715Z The error message to be printed in case of failure. 2025-08-26T19:58:36.0633813Z verbose : bool, optional 2025-08-26T19:58:36.0634030Z If True, the conflicting values are appended to the error message. 2025-08-26T19:58:36.0634110Z 2025-08-26T19:58:36.0634191Z Raises 2025-08-26T19:58:36.0634293Z ------ 2025-08-26T19:58:36.0634384Z AssertionError 2025-08-26T19:58:36.0634578Z If actual and desired are not equal up to specified precision. 2025-08-26T19:58:36.0634675Z 2025-08-26T19:58:36.0634757Z See Also 2025-08-26T19:58:36.0634857Z -------- 2025-08-26T19:58:36.0635094Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-26T19:58:36.0635221Z relative and/or absolute precision. 2025-08-26T19:58:36.0635442Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-26T19:58:36.0635524Z 2025-08-26T19:58:36.0635626Z Examples 2025-08-26T19:58:36.0635707Z -------- 2025-08-26T19:58:36.0635824Z >>> np.testing.assert_approx_equal( 2025-08-26T19:58:36.0635945Z ... 0.12345677777777e-20, 0.1234567e-20 2025-08-26T19:58:36.0636038Z ... ) # doctest: +SKIP 2025-08-26T19:58:36.0636165Z >>> np.testing.assert_approx_equal( 2025-08-26T19:58:36.0636255Z ... 0.12345670e-20, 2025-08-26T19:58:36.0636396Z ... 0.12345671e-20, # doctest: +SKIP 2025-08-26T19:58:36.0636511Z ... significant=8, 2025-08-26T19:58:36.0636594Z ... ) 2025-08-26T19:58:36.0636708Z >>> np.testing.assert_approx_equal( 2025-08-26T19:58:36.0636811Z ... 0.12345670e-20, 2025-08-26T19:58:36.0636919Z ... 0.12345672e-20, # doctest: +SKIP 2025-08-26T19:58:36.0637029Z ... significant=8, 2025-08-26T19:58:36.0637115Z ... ) 2025-08-26T19:58:36.0637228Z Traceback (most recent call last): 2025-08-26T19:58:36.0637331Z ... 2025-08-26T19:58:36.0637426Z AssertionError: 2025-08-26T19:58:36.0637577Z Items are not equal to 8 significant digits: 2025-08-26T19:58:36.0637671Z ACTUAL: 1.234567e-21 2025-08-26T19:58:36.0637765Z DESIRED: 1.2345672e-21 2025-08-26T19:58:36.0637857Z 2025-08-26T19:58:36.0638021Z the evaluated condition that raises the exception is 2025-08-26T19:58:36.0638100Z 2025-08-26T19:58:36.0638306Z >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1) 2025-08-26T19:58:36.0638388Z True 2025-08-26T19:58:36.0638482Z 2025-08-26T19:58:36.0638562Z 2025-08-26T19:58:36.0638814Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0638910Z 2025-08-26T19:58:36.0639008Z warnings.warn(msg) 2025-08-26T19:58:36.0639104Z 2025-08-26T19:58:36.0639305Z --- Parse Warning: 32 / 146 --- 2025-08-26T19:58:36.0640240Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=744. 2025-08-26T19:58:36.0640577Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0640659Z 2025-08-26T19:58:36.0640881Z Raises an AssertionError if two array_like objects are not equal. 2025-08-26T19:58:36.0640961Z 2025-08-26T19:58:36.0641169Z Given two array_like objects, check that the shape is equal and all 2025-08-26T19:58:36.0641401Z elements of these objects are equal (but see the Notes for the special 2025-08-26T19:58:36.0641602Z handling of a scalar). An exception is raised at shape mismatch or 2025-08-26T19:58:36.0641840Z conflicting values. In contrast to the standard usage in numpy, NaNs 2025-08-26T19:58:36.0642063Z are compared like numbers, no assertion is raised if both objects have 2025-08-26T19:58:36.0642168Z NaNs in the same positions. 2025-08-26T19:58:36.0642269Z 2025-08-26T19:58:36.0642525Z The usual caution for verifying equality with floating point numbers is 2025-08-26T19:58:36.0642625Z advised. 2025-08-26T19:58:36.0642705Z 2025-08-26T19:58:36.0642793Z Parameters 2025-08-26T19:58:36.0642893Z ---------- 2025-08-26T19:58:36.0642981Z x : array_like 2025-08-26T19:58:36.0643103Z The actual object to check. 2025-08-26T19:58:36.0643192Z y : array_like 2025-08-26T19:58:36.0643302Z The desired, expected object. 2025-08-26T19:58:36.0643414Z err_msg : str, optional 2025-08-26T19:58:36.0643570Z The error message to be printed in case of failure. 2025-08-26T19:58:36.0643669Z verbose : bool, optional 2025-08-26T19:58:36.0643885Z If True, the conflicting values are appended to the error message. 2025-08-26T19:58:36.0643981Z strict : bool, optional 2025-08-26T19:58:36.0644192Z If True, raise an AssertionError when either the shape or the data 2025-08-26T19:58:36.0644372Z type of the array_like objects does not match. The special 2025-08-26T19:58:36.0644579Z handling for scalars mentioned in the Notes section is disabled. 2025-08-26T19:58:36.0644674Z 2025-08-26T19:58:36.0644760Z Raises 2025-08-26T19:58:36.0644862Z ------ 2025-08-26T19:58:36.0644953Z AssertionError 2025-08-26T19:58:36.0645088Z If actual and desired objects are not equal. 2025-08-26T19:58:36.0645183Z 2025-08-26T19:58:36.0645266Z See Also 2025-08-26T19:58:36.0645402Z -------- 2025-08-26T19:58:36.0645642Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-26T19:58:36.0645767Z relative and/or absolute precision. 2025-08-26T19:58:36.0645991Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-26T19:58:36.0646071Z 2025-08-26T19:58:36.0646169Z Notes 2025-08-26T19:58:36.0646250Z ----- 2025-08-26T19:58:36.0646433Z When one of `x` and `y` is a scalar and the other is array_like, the 2025-08-26T19:58:36.0646672Z function checks that each element of the array_like object is equal to 2025-08-26T19:58:36.0646897Z the scalar. This behaviour can be disabled with the `strict` parameter. 2025-08-26T19:58:36.0646976Z 2025-08-26T19:58:36.0647074Z Examples 2025-08-26T19:58:36.0647159Z -------- 2025-08-26T19:58:36.0647309Z The first assert does not raise an exception: 2025-08-26T19:58:36.0647390Z 2025-08-26T19:58:36.0647505Z >>> np.testing.assert_array_equal( 2025-08-26T19:58:36.0647660Z ... [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan] 2025-08-26T19:58:36.0647742Z ... ) 2025-08-26T19:58:36.0647838Z 2025-08-26T19:58:36.0648064Z Use `assert_allclose` or one of the nulp (number of floating point values) 2025-08-26T19:58:36.0648175Z functions for these cases instead: 2025-08-26T19:58:36.0648269Z 2025-08-26T19:58:36.0648377Z >>> np.testing.assert_allclose( 2025-08-26T19:58:36.0648586Z ... [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0 2025-08-26T19:58:36.0648729Z ... ) 2025-08-26T19:58:36.0648810Z 2025-08-26T19:58:36.0649030Z As mentioned in the Notes section, `assert_array_equal` has special 2025-08-26T19:58:36.0649255Z handling for scalars. Here the test checks that each value in `x` is 3: 2025-08-26T19:58:36.0649349Z 2025-08-26T19:58:36.0649456Z >>> x = np.full((2, 5), fill_value=3) 2025-08-26T19:58:36.0649576Z >>> np.testing.assert_array_equal(x, 3) 2025-08-26T19:58:36.0649671Z 2025-08-26T19:58:36.0649886Z Use `strict` to raise an AssertionError when comparing a scalar with an 2025-08-26T19:58:36.0649970Z array: 2025-08-26T19:58:36.0650063Z 2025-08-26T19:58:36.0650212Z >>> np.testing.assert_array_equal(x, 3, strict=True) 2025-08-26T19:58:36.0650340Z Traceback (most recent call last): 2025-08-26T19:58:36.0650423Z ... 2025-08-26T19:58:36.0650516Z AssertionError: 2025-08-26T19:58:36.0650629Z Arrays are not equal 2025-08-26T19:58:36.0650718Z 2025-08-26T19:58:36.0650868Z (shapes (2, 5), () mismatch) 2025-08-26T19:58:36.0650977Z x: torch.ndarray([[3, 3, 3, 3, 3], 2025-08-26T19:58:36.0651066Z [3, 3, 3, 3, 3]]) 2025-08-26T19:58:36.0651173Z y: torch.ndarray(3) 2025-08-26T19:58:36.0651253Z 2025-08-26T19:58:36.0651468Z The `strict` parameter also ensures that the array data types match: 2025-08-26T19:58:36.0651563Z 2025-08-26T19:58:36.0651662Z >>> x = np.array([2, 2, 2]) 2025-08-26T19:58:36.0651810Z >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32) 2025-08-26T19:58:36.0651959Z >>> np.testing.assert_array_equal(x, y, strict=True) 2025-08-26T19:58:36.0652072Z Traceback (most recent call last): 2025-08-26T19:58:36.0652168Z ... 2025-08-26T19:58:36.0652261Z AssertionError: 2025-08-26T19:58:36.0652370Z Arrays are not equal 2025-08-26T19:58:36.0652457Z 2025-08-26T19:58:36.0652605Z (dtypes dtype("int64"), dtype("float32") mismatch) 2025-08-26T19:58:36.0652723Z x: torch.ndarray([2, 2, 2]) 2025-08-26T19:58:36.0652829Z y: torch.ndarray([2., 2., 2.]) 2025-08-26T19:58:36.0652927Z 2025-08-26T19:58:36.0653183Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0653264Z 2025-08-26T19:58:36.0653377Z warnings.warn(msg) 2025-08-26T19:58:36.0653458Z 2025-08-26T19:58:36.0653661Z --- Parse Warning: 33 / 146 --- 2025-08-26T19:58:36.0654869Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=851. 2025-08-26T19:58:36.0655139Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0655239Z 2025-08-26T19:58:36.0655456Z Raises an AssertionError if two objects are not equal up to desired 2025-08-26T19:58:36.0655566Z precision. 2025-08-26T19:58:36.0655649Z 2025-08-26T19:58:36.0655837Z .. note:: It is recommended to use one of `assert_allclose`, 2025-08-26T19:58:36.0656036Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-08-26T19:58:36.0656226Z instead of this function for more consistent floating point 2025-08-26T19:58:36.0656340Z comparisons. 2025-08-26T19:58:36.0656424Z 2025-08-26T19:58:36.0656668Z The test verifies identical shapes and that the elements of ``actual`` and 2025-08-26T19:58:36.0656782Z ``desired`` satisfy. 2025-08-26T19:58:36.0656867Z 2025-08-26T19:58:36.0657003Z ``abs(desired-actual) < 1.5 * 10**(-decimal)`` 2025-08-26T19:58:36.0657102Z 2025-08-26T19:58:36.0657334Z That is a looser test than originally documented, but agrees with what the 2025-08-26T19:58:36.0657595Z actual implementation did up to rounding vagaries. An exception is raised 2025-08-26T19:58:36.0657831Z at shape mismatch or conflicting values. In contrast to the standard usage 2025-08-26T19:58:36.0658124Z in numpy, NaNs are compared like numbers, no assertion is raised if both 2025-08-26T19:58:36.0658265Z objects have NaNs in the same positions. 2025-08-26T19:58:36.0658348Z 2025-08-26T19:58:36.0658453Z Parameters 2025-08-26T19:58:36.0658542Z ---------- 2025-08-26T19:58:36.0658633Z x : array_like 2025-08-26T19:58:36.0658757Z The actual object to check. 2025-08-26T19:58:36.0658844Z y : array_like 2025-08-26T19:58:36.0658970Z The desired, expected object. 2025-08-26T19:58:36.0659069Z decimal : int, optional 2025-08-26T19:58:36.0659186Z Desired precision, default is 6. 2025-08-26T19:58:36.0659298Z err_msg : str, optional 2025-08-26T19:58:36.0659455Z The error message to be printed in case of failure. 2025-08-26T19:58:36.0659572Z verbose : bool, optional 2025-08-26T19:58:36.0659776Z If True, the conflicting values are appended to the error message. 2025-08-26T19:58:36.0659858Z 2025-08-26T19:58:36.0659963Z Raises 2025-08-26T19:58:36.0660124Z ------ 2025-08-26T19:58:36.0660220Z AssertionError 2025-08-26T19:58:36.0660428Z If actual and desired are not equal up to specified precision. 2025-08-26T19:58:36.0660509Z 2025-08-26T19:58:36.0660609Z See Also 2025-08-26T19:58:36.0660696Z -------- 2025-08-26T19:58:36.0660931Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-26T19:58:36.0661082Z relative and/or absolute precision. 2025-08-26T19:58:36.0661288Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-26T19:58:36.0661382Z 2025-08-26T19:58:36.0661501Z Examples 2025-08-26T19:58:36.0661584Z -------- 2025-08-26T19:58:36.0661730Z the first assert does not raise an exception 2025-08-26T19:58:36.0661810Z 2025-08-26T19:58:36.0662074Z >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan]) 2025-08-26T19:58:36.0662155Z 2025-08-26T19:58:36.0662279Z >>> np.testing.assert_array_almost_equal( 2025-08-26T19:58:36.0662448Z ... [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5 2025-08-26T19:58:36.0662532Z ... ) 2025-08-26T19:58:36.0662648Z Traceback (most recent call last): 2025-08-26T19:58:36.0662744Z ... 2025-08-26T19:58:36.0662836Z AssertionError: 2025-08-26T19:58:36.0662971Z Arrays are not almost equal to 5 decimals 2025-08-26T19:58:36.0663088Z 2025-08-26T19:58:36.0663197Z Mismatched elements: 1 / 3 (33.3%) 2025-08-26T19:58:36.0663341Z Max absolute difference: 5.999999999994898e-05 2025-08-26T19:58:36.0663472Z Max relative difference: 2.5713661239633743e-05 2025-08-26T19:58:36.0663650Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2025-08-26T19:58:36.0663812Z y: torch.ndarray([1.0000, 2.3334, nan], dtype=float64) 2025-08-26T19:58:36.0663897Z 2025-08-26T19:58:36.0664032Z >>> np.testing.assert_array_almost_equal( 2025-08-26T19:58:36.0664171Z ... [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5 2025-08-26T19:58:36.0664272Z ... ) 2025-08-26T19:58:36.0664386Z Traceback (most recent call last): 2025-08-26T19:58:36.0664469Z ... 2025-08-26T19:58:36.0664576Z AssertionError: 2025-08-26T19:58:36.0664696Z Arrays are not almost equal to 5 decimals 2025-08-26T19:58:36.0664782Z 2025-08-26T19:58:36.0676608Z x and y nan location mismatch: 2025-08-26T19:58:36.0676890Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2025-08-26T19:58:36.0677056Z y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64) 2025-08-26T19:58:36.0677150Z 2025-08-26T19:58:36.0677229Z 2025-08-26T19:58:36.0677501Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0677582Z 2025-08-26T19:58:36.0677680Z warnings.warn(msg) 2025-08-26T19:58:36.0677770Z 2025-08-26T19:58:36.0678014Z --- Parse Warning: 34 / 146 --- 2025-08-26T19:58:36.0679090Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=clear_and_catch_warnings in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=1848. 2025-08-26T19:58:36.0679385Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0679601Z Context manager that resets warning registry for catching warnings 2025-08-26T19:58:36.0679694Z 2025-08-26T19:58:36.0679936Z Warnings can be slippery, because, whenever a warning is triggered, Python 2025-08-26T19:58:36.0680172Z adds a ``__warningregistry__`` member to the *calling* module. This makes 2025-08-26T19:58:36.0680410Z it impossible to retrigger the warning in this module, whatever you put in 2025-08-26T19:58:36.0680655Z the warnings filters. This context manager accepts a sequence of `modules` 2025-08-26T19:58:36.0680811Z as a keyword argument to its constructor and: 2025-08-26T19:58:36.0680923Z 2025-08-26T19:58:36.0681166Z * stores and removes any ``__warningregistry__`` entries in given `modules` 2025-08-26T19:58:36.0681251Z on entry; 2025-08-26T19:58:36.0681440Z * resets ``__warningregistry__`` to its previous state on exit. 2025-08-26T19:58:36.0681538Z 2025-08-26T19:58:36.0681764Z This makes it possible to trigger any warning afresh inside the context 2025-08-26T19:58:36.0681970Z manager without disturbing the state of warnings outside. 2025-08-26T19:58:36.0682050Z 2025-08-26T19:58:36.0682286Z For compatibility with Python 3.0, please consider all arguments to be 2025-08-26T19:58:36.0682396Z keyword-only. 2025-08-26T19:58:36.0682476Z 2025-08-26T19:58:36.0682577Z Parameters 2025-08-26T19:58:36.0682665Z ---------- 2025-08-26T19:58:36.0682764Z record : bool, optional 2025-08-26T19:58:36.0682971Z Specifies whether warnings should be captured by a custom 2025-08-26T19:58:36.0683213Z implementation of ``warnings.showwarning()`` and be appended to a list 2025-08-26T19:58:36.0683433Z returned by the context manager. Otherwise None is returned by the 2025-08-26T19:58:36.0683657Z context manager. The objects appended to the list are arguments whose 2025-08-26T19:58:36.0683828Z attributes mirror the arguments to ``showwarning()``. 2025-08-26T19:58:36.0683989Z modules : sequence, optional 2025-08-26T19:58:36.0684214Z Sequence of modules for which to reset warnings registry on entry and 2025-08-26T19:58:36.0684420Z restore on exit. To work correctly, all 'ignore' filters should 2025-08-26T19:58:36.0684533Z filter by one of these modules. 2025-08-26T19:58:36.0684614Z 2025-08-26T19:58:36.0684713Z Examples 2025-08-26T19:58:36.0684800Z -------- 2025-08-26T19:58:36.0684898Z >>> import warnings 2025-08-26T19:58:36.0685099Z >>> with np.testing.clear_and_catch_warnings( # doctest: +SKIP 2025-08-26T19:58:36.0685220Z ... modules=[np.core.fromnumeric] 2025-08-26T19:58:36.0685316Z ... ): 2025-08-26T19:58:36.0685441Z ... warnings.simplefilter("always") 2025-08-26T19:58:36.0685666Z ... warnings.filterwarnings("ignore", module="np.core.fromnumeric") 2025-08-26T19:58:36.0685853Z ... # do something that raises a warning but ignore those in 2025-08-26T19:58:36.0685963Z ... # np.core.fromnumeric 2025-08-26T19:58:36.0686063Z 2025-08-26T19:58:36.0686315Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0686393Z 2025-08-26T19:58:36.0686503Z warnings.warn(msg) 2025-08-26T19:58:36.0686584Z 2025-08-26T19:58:36.0686793Z --- Parse Warning: 35 / 146 --- 2025-08-26T19:58:36.0687717Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Conv1d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py line=354. 2025-08-26T19:58:36.0688033Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0688258Z Applies a 1D convolution over a quantized input signal composed of 2025-08-26T19:58:36.0688374Z several quantized input planes. 2025-08-26T19:58:36.0688469Z 2025-08-26T19:58:36.0688686Z For details on input arguments, parameters, and implementation see 2025-08-26T19:58:36.0688793Z :class:`~torch.nn.Conv1d`. 2025-08-26T19:58:36.0688887Z 2025-08-26T19:58:36.0688981Z .. note:: 2025-08-26T19:58:36.0689192Z Only `zeros` is supported for the :attr:`padding_mode` argument. 2025-08-26T19:58:36.0689273Z 2025-08-26T19:58:36.0689356Z .. note:: 2025-08-26T19:58:36.0689546Z Only `torch.quint8` is supported for the input data type. 2025-08-26T19:58:36.0689627Z 2025-08-26T19:58:36.0689723Z 2025-08-26T19:58:36.0689842Z Attributes: 2025-08-26T19:58:36.0690056Z weight (Tensor): packed tensor derived from the learnable weight 2025-08-26T19:58:36.0690170Z parameter. 2025-08-26T19:58:36.0690317Z scale (Tensor): scalar for the output scale 2025-08-26T19:58:36.0690490Z zero_point (Tensor): scalar for the output zero point 2025-08-26T19:58:36.0690569Z 2025-08-26T19:58:36.0690724Z See :class:`~torch.nn.Conv1d` for other attributes. 2025-08-26T19:58:36.0690817Z 2025-08-26T19:58:36.0690907Z Examples:: 2025-08-26T19:58:36.0690986Z 2025-08-26T19:58:36.0691147Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE) 2025-08-26T19:58:36.0691284Z >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2) 2025-08-26T19:58:36.0691412Z >>> input = torch.randn(20, 16, 100) 2025-08-26T19:58:36.0691522Z >>> # quantize input to quint8 2025-08-26T19:58:36.0691624Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0691851Z >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0, 2025-08-26T19:58:36.0691978Z ... dtype=torch.quint8) 2025-08-26T19:58:36.0692099Z >>> output = m(q_input) 2025-08-26T19:58:36.0692180Z 2025-08-26T19:58:36.0692262Z 2025-08-26T19:58:36.0692558Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0692639Z 2025-08-26T19:58:36.0692752Z warnings.warn(msg) 2025-08-26T19:58:36.0692832Z 2025-08-26T19:58:36.0693021Z --- Parse Warning: 36 / 146 --- 2025-08-26T19:58:36.0693940Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LSTM in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12. 2025-08-26T19:58:36.0694207Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0694351Z A quantized long short-term memory (LSTM). 2025-08-26T19:58:36.0694431Z 2025-08-26T19:58:36.0694711Z For the description and the argument types, please, refer to :class:`~torch.nn.LSTM` 2025-08-26T19:58:36.0694806Z 2025-08-26T19:58:36.0694895Z Attributes: 2025-08-26T19:58:36.0695083Z layers : instances of the `_LSTMLayer` 2025-08-26T19:58:36.0695162Z 2025-08-26T19:58:36.0695250Z .. note:: 2025-08-26T19:58:36.0695476Z To access the weights and biases, you need to access them per layer. 2025-08-26T19:58:36.0695650Z See examples in :class:`~torch.ao.nn.quantizable.LSTM` 2025-08-26T19:58:36.0695746Z 2025-08-26T19:58:36.0695840Z Examples:: 2025-08-26T19:58:36.0695938Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0696063Z >>> custom_module_config = { 2025-08-26T19:58:36.0696229Z ... 'float_to_observed_custom_module_class': { 2025-08-26T19:58:36.0696400Z ... nn.LSTM: nn.quantizable.LSTM, 2025-08-26T19:58:36.0696488Z ... }, 2025-08-26T19:58:36.0696638Z ... 'observed_to_quantized_custom_module_class': { 2025-08-26T19:58:36.0696798Z ... nn.quantizable.LSTM: nn.quantized.LSTM, 2025-08-26T19:58:36.0696885Z ... } 2025-08-26T19:58:36.0696968Z ... } 2025-08-26T19:58:36.0697207Z >>> tq.prepare(model, prepare_custom_module_class=custom_module_config) 2025-08-26T19:58:36.0697421Z >>> tq.convert(model, convert_custom_module_class=custom_module_config) 2025-08-26T19:58:36.0697520Z 2025-08-26T19:58:36.0697773Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0697854Z 2025-08-26T19:58:36.0697966Z warnings.warn(msg) 2025-08-26T19:58:36.0698045Z 2025-08-26T19:58:36.0698249Z --- Parse Warning: 37 / 146 --- 2025-08-26T19:58:36.0699480Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-08-26T19:58:36.0699762Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0699842Z 2025-08-26T19:58:36.0700110Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-08-26T19:58:36.0700352Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-08-26T19:58:36.0700601Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-08-26T19:58:36.0700711Z input by the user. 2025-08-26T19:58:36.0700936Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-08-26T19:58:36.0701092Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-08-26T19:58:36.0701192Z 2025-08-26T19:58:36.0701278Z Note:: 2025-08-26T19:58:36.0701616Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-08-26T19:58:36.0701697Z 2025-08-26T19:58:36.0701778Z Args: 2025-08-26T19:58:36.0701889Z model (nn.Module): 2025-08-26T19:58:36.0702114Z The model whose layers will be sparsified. The layers that needs to be 2025-08-26T19:58:36.0702385Z sparsified should be added separately using the register_layer() function 2025-08-26T19:58:36.0702516Z aggregate_fn (Optional, Callable): 2025-08-26T19:58:36.0702775Z default aggregate_fn that is used if not specified while registering the layer. 2025-08-26T19:58:36.0702955Z specifies how inputs should be aggregated over time. 2025-08-26T19:58:36.0703239Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-08-26T19:58:36.0703343Z Example 2025-08-26T19:58:36.0703522Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-08-26T19:58:36.0703640Z reduce_fn (Optional, Callable): 2025-08-26T19:58:36.0703898Z default reduce_fn that is used if not specified while registering the layer. 2025-08-26T19:58:36.0704151Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-08-26T19:58:36.0704283Z calling agg_fn() on all inputs. 2025-08-26T19:58:36.0704372Z Example 2025-08-26T19:58:36.0704569Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-08-26T19:58:36.0704696Z mask_fn (Optional, Callable): 2025-08-26T19:58:36.0705006Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-08-26T19:58:36.0705276Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-08-26T19:58:36.0705434Z register_layer(). 2025-08-26T19:58:36.0705784Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-08-26T19:58:36.0705891Z arguments. 2025-08-26T19:58:36.0706002Z features (Optional, list): 2025-08-26T19:58:36.0706146Z default selected features to sparsify. 2025-08-26T19:58:36.0706412Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-08-26T19:58:36.0706509Z For example, 2025-08-26T19:58:36.0706773Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-08-26T19:58:36.0706888Z feature_dim (Optional, int): 2025-08-26T19:58:36.0707182Z default dimension of input features. Again, features along this dim will be chosen 2025-08-26T19:58:36.0707287Z for sparsification. 2025-08-26T19:58:36.0707429Z sparse_config (Dict): 2025-08-26T19:58:36.0707665Z Default configuration for the mask_fn. This config will be passed 2025-08-26T19:58:36.0707766Z with the mask_fn() 2025-08-26T19:58:36.0707859Z 2025-08-26T19:58:36.0707944Z Example: 2025-08-26T19:58:36.0708039Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0708148Z >>> model = SomeModel() 2025-08-26T19:58:36.0708393Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-08-26T19:58:36.0708512Z >>> # Initialize aggregate_fn 2025-08-26T19:58:36.0708607Z >>> def agg_fn(x, y): 2025-08-26T19:58:36.0708699Z >>> return x + y 2025-08-26T19:58:36.0708798Z >>> 2025-08-26T19:58:36.0708900Z >>> # Initialize reduce_fn 2025-08-26T19:58:36.0709011Z >>> def reduce_fn(x): 2025-08-26T19:58:36.0709121Z >>> return torch.mean(x, dim=0) 2025-08-26T19:58:36.0709204Z >>> 2025-08-26T19:58:36.0709322Z >>> # Initialize mask_fn 2025-08-26T19:58:36.0709418Z >>> def mask_fn(data): 2025-08-26T19:58:36.0709562Z >>> return torch.eye(data.shape).to(data.device) 2025-08-26T19:58:36.0709655Z >>> 2025-08-26T19:58:36.0709736Z >>> 2025-08-26T19:58:36.0709866Z >>> act_sparsifier.register_layer( 2025-08-26T19:58:36.0709963Z ... model.some_layer, 2025-08-26T19:58:36.0710095Z ... aggregate_fn=agg_fn, 2025-08-26T19:58:36.0710208Z ... reduce_fn=reduce_fn, 2025-08-26T19:58:36.0710302Z ... mask_fn=mask_fn, 2025-08-26T19:58:36.0710402Z ... ) 2025-08-26T19:58:36.0710485Z >>> 2025-08-26T19:58:36.0710587Z >>> # start training process 2025-08-26T19:58:36.0710691Z >>> for _ in [...]: 2025-08-26T19:58:36.0710784Z >>> # epoch starts 2025-08-26T19:58:36.0710973Z >>> # model.forward(), compute_loss() and model.backwards() 2025-08-26T19:58:36.0711068Z >>> # epoch ends 2025-08-26T19:58:36.0711181Z >>> act_sparsifier.step() 2025-08-26T19:58:36.0711302Z >>> # end training process 2025-08-26T19:58:36.0711407Z >>> sparsifier.squash_mask() 2025-08-26T19:58:36.0711492Z 2025-08-26T19:58:36.0711762Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0711843Z 2025-08-26T19:58:36.0711956Z warnings.warn(msg) 2025-08-26T19:58:36.0712038Z 2025-08-26T19:58:36.0712238Z --- Parse Warning: 38 / 146 --- 2025-08-26T19:58:36.0713565Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91. 2025-08-26T19:58:36.0713830Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0713963Z 2025-08-26T19:58:36.0714199Z Abstract method that needs to be implemented by the child class. 2025-08-26T19:58:36.0714472Z The expected return type should is a dictionary of name to schedule_param value 2025-08-26T19:58:36.0714740Z The returned values will be updated in sparsifier when the scheduler step() function 2025-08-26T19:58:36.0714826Z is called. 2025-08-26T19:58:36.0714923Z 2025-08-26T19:58:36.0715009Z Example: 2025-08-26T19:58:36.0715127Z >>> def get_schedule_param(self): 2025-08-26T19:58:36.0715240Z ... new_param = {} 2025-08-26T19:58:36.0715401Z ... for name in self.sparsifier.data_groups.keys(): 2025-08-26T19:58:36.0715516Z ... new_param[name] = ( 2025-08-26T19:58:36.0715725Z ... self.sparsifier.data_groups[name][self.schedule_param] * 0.5 2025-08-26T19:58:36.0715810Z ... ) 2025-08-26T19:58:36.0715922Z ... return new_param 2025-08-26T19:58:36.0716004Z 2025-08-26T19:58:36.0716433Z When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param] 2025-08-26T19:58:36.0716524Z would be halved 2025-08-26T19:58:36.0716667Z 2025-08-26T19:58:36.0716932Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0717012Z 2025-08-26T19:58:36.0717122Z warnings.warn(msg) 2025-08-26T19:58:36.0717202Z 2025-08-26T19:58:36.0717401Z --- Parse Warning: 39 / 146 --- 2025-08-26T19:58:36.0718491Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229. 2025-08-26T19:58:36.0718754Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0718945Z Squashes the sparse masks into the appropriate tensors. 2025-08-26T19:58:36.0719029Z 2025-08-26T19:58:36.0719238Z If either the `params_to_keep` or `params_to_keep_per_layer` is set, 2025-08-26T19:58:36.0719436Z the module will have a `sparse_params` dict attached to it. 2025-08-26T19:58:36.0719515Z 2025-08-26T19:58:36.0719611Z Args: 2025-08-26T19:58:36.0719799Z params_to_keep: List of keys to save in the module or a dict 2025-08-26T19:58:36.0719990Z representing the modules and keys that will have 2025-08-26T19:58:36.0720132Z sparsity parameters saved 2025-08-26T19:58:36.0720345Z params_to_keep_per_layer: Dict to specify the params that should be 2025-08-26T19:58:36.0720509Z saved for specific layers. The keys in the dict 2025-08-26T19:58:36.0720662Z should be the module fqn, while the values should 2025-08-26T19:58:36.0720825Z be a list of strings with the names of the variables 2025-08-26T19:58:36.0720964Z to save in the `sparse_params` 2025-08-26T19:58:36.0721046Z 2025-08-26T19:58:36.0721149Z Examples: 2025-08-26T19:58:36.0721312Z >>> # xdoctest: +SKIP("locals are undefined") 2025-08-26T19:58:36.0721430Z >>> # Don't save any sparse params 2025-08-26T19:58:36.0721558Z >>> sparsifier.squash_mask() 2025-08-26T19:58:36.0721698Z >>> hasattr(model.submodule1, "sparse_params") 2025-08-26T19:58:36.0721796Z False 2025-08-26T19:58:36.0721875Z 2025-08-26T19:58:36.0721991Z >>> # Keep sparse params per layer 2025-08-26T19:58:36.0722116Z >>> sparsifier.squash_mask( 2025-08-26T19:58:36.0722229Z ... params_to_keep_per_layer={ 2025-08-26T19:58:36.0722374Z ... "submodule1.linear1": ("foo", "bar"), 2025-08-26T19:58:36.0722530Z ... "submodule2.linear42": ("baz",), 2025-08-26T19:58:36.0722644Z ... } 2025-08-26T19:58:36.0722742Z ... ) 2025-08-26T19:58:36.0722916Z >>> print(model.submodule1.linear1.sparse_params) 2025-08-26T19:58:36.0723018Z {'foo': 42, 'bar': 24} 2025-08-26T19:58:36.0723195Z >>> print(model.submodule2.linear42.sparse_params) 2025-08-26T19:58:36.0723288Z {'baz': 0.1} 2025-08-26T19:58:36.0723387Z 2025-08-26T19:58:36.0723510Z >>> # Keep sparse params for all layers 2025-08-26T19:58:36.0723683Z >>> sparsifier.squash_mask(params_to_keep=("foo", "bar")) 2025-08-26T19:58:36.0723854Z >>> print(model.submodule1.linear1.sparse_params) 2025-08-26T19:58:36.0723952Z {'foo': 42, 'bar': 24} 2025-08-26T19:58:36.0724125Z >>> print(model.submodule2.linear42.sparse_params) 2025-08-26T19:58:36.0724227Z {'foo': 42, 'bar': 24} 2025-08-26T19:58:36.0724307Z 2025-08-26T19:58:36.0724552Z >>> # Keep some sparse params for all layers, and specific ones for 2025-08-26T19:58:36.0724656Z >>> # some other layers 2025-08-26T19:58:36.0724767Z >>> sparsifier.squash_mask( 2025-08-26T19:58:36.0724903Z ... params_to_keep=("foo", "bar"), 2025-08-26T19:58:36.0725100Z ... params_to_keep_per_layer={"submodule2.linear42": ("baz",)}, 2025-08-26T19:58:36.0725199Z ... ) 2025-08-26T19:58:36.0725356Z >>> print(model.submodule1.linear1.sparse_params) 2025-08-26T19:58:36.0725456Z {'foo': 42, 'bar': 24} 2025-08-26T19:58:36.0725629Z >>> print(model.submodule2.linear42.sparse_params) 2025-08-26T19:58:36.0725737Z {'foo': 42, 'bar': 24, 'baz': 0.1} 2025-08-26T19:58:36.0725836Z 2025-08-26T19:58:36.0726091Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0726174Z 2025-08-26T19:58:36.0726290Z warnings.warn(msg) 2025-08-26T19:58:36.0726371Z 2025-08-26T19:58:36.0726580Z --- Parse Warning: 40 / 146 --- 2025-08-26T19:58:36.0727655Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DTypeConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181. 2025-08-26T19:58:36.0727935Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0728017Z 2025-08-26T19:58:36.0728266Z Config object that specifies the supported data types passed as arguments to 2025-08-26T19:58:36.0728522Z quantize ops in the reference model spec, for input and output activations, 2025-08-26T19:58:36.0728617Z weights, and biases. 2025-08-26T19:58:36.0728695Z 2025-08-26T19:58:36.0728870Z For example, consider the following reference model: 2025-08-26T19:58:36.0728955Z 2025-08-26T19:58:36.0729134Z quant1 - [dequant1 - fp32_linear - quant2] - dequant2 2025-08-26T19:58:36.0729214Z 2025-08-26T19:58:36.0729427Z The pattern in the square brackets refers to the reference pattern of 2025-08-26T19:58:36.0729674Z statically quantized linear. Setting the input dtype as `torch.quint8` 2025-08-26T19:58:36.0729902Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument 2025-08-26T19:58:36.0730141Z to the first quantize op (quant1). Similarly, setting the output dtype as 2025-08-26T19:58:36.0730360Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to 2025-08-26T19:58:36.0730470Z the second quantize op (quant2). 2025-08-26T19:58:36.0730562Z 2025-08-26T19:58:36.0730776Z Note that the dtype here does not refer to the interface dtypes of the 2025-08-26T19:58:36.0730996Z op. For example, the "input dtype" here is not the dtype of the input 2025-08-26T19:58:36.0731243Z tensor passed to the quantized linear op. Though it can still be the 2025-08-26T19:58:36.0731469Z same as the interface dtype, this is not always the case, e.g. the 2025-08-26T19:58:36.0731699Z interface dtype is fp32 in dynamic quantization but the "input dtype" 2025-08-26T19:58:36.0731916Z specified in the DTypeConfig would still be quint8. The semantics of 2025-08-26T19:58:36.0732138Z dtypes here are the same as the semantics of the dtypes specified in 2025-08-26T19:58:36.0732232Z the observers. 2025-08-26T19:58:36.0732314Z 2025-08-26T19:58:36.0732536Z These dtypes are matched against the ones specified in the user's 2025-08-26T19:58:36.0732749Z QConfig. If there is a match, and the QConfig satisfies the constraints 2025-08-26T19:58:36.0732983Z specified in the DTypeConfig (if any), then we will quantize the given 2025-08-26T19:58:36.0733207Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and 2025-08-26T19:58:36.0733323Z the pattern will not be quantized. 2025-08-26T19:58:36.0733447Z 2025-08-26T19:58:36.0733552Z Example usage:: 2025-08-26T19:58:36.0733645Z 2025-08-26T19:58:36.0733752Z >>> # xdoctest: +SKIP(failing) 2025-08-26T19:58:36.0733864Z >>> dtype_config1 = DTypeConfig( 2025-08-26T19:58:36.0733985Z ... input_dtype=torch.quint8, 2025-08-26T19:58:36.0734093Z ... output_dtype=torch.quint8, 2025-08-26T19:58:36.0734214Z ... weight_dtype=torch.qint8, 2025-08-26T19:58:36.0734320Z ... bias_dtype=torch.float) 2025-08-26T19:58:36.0734397Z 2025-08-26T19:58:36.0734521Z >>> dtype_config2 = DTypeConfig( 2025-08-26T19:58:36.0734651Z ... input_dtype=DTypeWithConstraints( 2025-08-26T19:58:36.0734765Z ... dtype=torch.quint8, 2025-08-26T19:58:36.0734874Z ... quant_min_lower_bound=0, 2025-08-26T19:58:36.0734986Z ... quant_max_upper_bound=255, 2025-08-26T19:58:36.0735089Z ... ), 2025-08-26T19:58:36.0735223Z ... output_dtype=DTypeWithConstraints( 2025-08-26T19:58:36.0735343Z ... dtype=torch.quint8, 2025-08-26T19:58:36.0735449Z ... quant_min_lower_bound=0, 2025-08-26T19:58:36.0735561Z ... quant_max_upper_bound=255, 2025-08-26T19:58:36.0735657Z ... ), 2025-08-26T19:58:36.0735786Z ... weight_dtype=DTypeWithConstraints( 2025-08-26T19:58:36.0735886Z ... dtype=torch.qint8, 2025-08-26T19:58:36.0736044Z ... quant_min_lower_bound=-128, 2025-08-26T19:58:36.0736156Z ... quant_max_upper_bound=127, 2025-08-26T19:58:36.0736253Z ... ), 2025-08-26T19:58:36.0736355Z ... bias_dtype=torch.float) 2025-08-26T19:58:36.0736435Z 2025-08-26T19:58:36.0736557Z >>> dtype_config1.input_dtype 2025-08-26T19:58:36.0736647Z torch.quint8 2025-08-26T19:58:36.0736741Z 2025-08-26T19:58:36.0736845Z >>> dtype_config2.input_dtype 2025-08-26T19:58:36.0736934Z torch.quint8 2025-08-26T19:58:36.0737032Z 2025-08-26T19:58:36.0737168Z >>> dtype_config2.input_dtype_with_constraints 2025-08-26T19:58:36.0737728Z DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None) 2025-08-26T19:58:36.0737807Z 2025-08-26T19:58:36.0738058Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0738156Z 2025-08-26T19:58:36.0738251Z warnings.warn(msg) 2025-08-26T19:58:36.0738330Z 2025-08-26T19:58:36.0738539Z --- Parse Warning: 41 / 146 --- 2025-08-26T19:58:36.0739582Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReport in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24. 2025-08-26T19:58:36.0739887Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0740012Z 2025-08-26T19:58:36.0740332Z The ModelReport class aims to provide users an easy way to diagnose issues that they run into 2025-08-26T19:58:36.0740625Z with their models. The class works with all traceable GraphModules to help diagnose issues, 2025-08-26T19:58:36.0740923Z though the requirements on the type of model more-so depends on the specific report the user 2025-08-26T19:58:36.0741238Z is trying to generate. With respect to the reports, the ModelReport class is initialized with 2025-08-26T19:58:36.0741514Z a set of Detector classes, each of which generate reports on quantization configuration 2025-08-26T19:58:36.0741631Z issues a use might have. 2025-08-26T19:58:36.0741710Z 2025-08-26T19:58:36.0741840Z Currently supports generating reports on: 2025-08-26T19:58:36.0742078Z - Suggestions for per-channel vs. per-tensor quantization (nn.Module) 2025-08-26T19:58:36.0742376Z - Suggestions for dynamic vs static quantization for linear layers (Graph Modules) 2025-08-26T19:58:36.0742686Z - Suggestions for input-weight equalization for linear and conv layers (Graph Modules) 2025-08-26T19:58:36.0742896Z - Suggestions for outlier detection for all layers (Graph Modules) 2025-08-26T19:58:36.0742976Z 2025-08-26T19:58:36.0743389Z The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver) 2025-08-26T19:58:36.0743769Z where needed for each detector to gather the information it needs, and then after calibration, the ModelReport 2025-08-26T19:58:36.0744160Z class compiles the report generated by each Detector class into a single report to return to the user. It also 2025-08-26T19:58:36.0744369Z has the capability to remove all the observers it inserted as well. 2025-08-26T19:58:36.0744461Z 2025-08-26T19:58:36.0744741Z * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule 2025-08-26T19:58:36.0744820Z 2025-08-26T19:58:36.0745218Z * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class 2025-08-26T19:58:36.0745529Z Make sure that these are all unique types of detectors [do not have more than 1 of the same class] 2025-08-26T19:58:36.0745625Z 2025-08-26T19:58:36.0745911Z * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors. 2025-08-26T19:58:36.0746171Z This set is generated by calling the get_detector_name() of each detector 2025-08-26T19:58:36.0746269Z 2025-08-26T19:58:36.0746606Z * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest 2025-08-26T19:58:36.0746934Z The purpose of this is to keep track of what observers were inserted for each detector, so that they 2025-08-26T19:58:36.0747050Z can be removed at the end if desired 2025-08-26T19:58:36.0747133Z 2025-08-26T19:58:36.0747464Z * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not 2025-08-26T19:58:36.0747702Z This is to ensure we only insert observers once with the ModelReport instance 2025-08-26T19:58:36.0747796Z 2025-08-26T19:58:36.0748050Z * :attr:`_removed_observers` A boolean to track if we have removed observers already 2025-08-26T19:58:36.0748341Z The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport 2025-08-26T19:58:36.0748673Z instance. This also allows the functionality where we can generate the report multiple times 2025-08-26T19:58:36.0748818Z as long as we haven't removed the observers yet. 2025-08-26T19:58:36.0748918Z 2025-08-26T19:58:36.0749001Z Note: 2025-08-26T19:58:36.0749299Z This class was initially designed to work with the Fx Graph Mode workflow in mind. However, 2025-08-26T19:58:36.0749627Z full functionality is available as long as there is a traceable GraphModule that is being used. 2025-08-26T19:58:36.0749982Z One method to get a traceable GraphModule without going through the Fx workflow is to use 2025-08-26T19:58:36.0750117Z the QuantizationTracer class. 2025-08-26T19:58:36.0750200Z 2025-08-26T19:58:36.0750305Z General Flow for Fx workflow: 2025-08-26T19:58:36.0750712Z 1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model 2025-08-26T19:58:36.0750835Z 2.) Prepare your model with prepare_fx 2025-08-26T19:58:36.0751095Z 3.) Call model_report.prepare_detailed_calibration to add relevant observers 2025-08-26T19:58:36.0751204Z 4.) Calibrate your model with data 2025-08-26T19:58:36.0751562Z 5.) Call model_report.generate_report on your model to generate report and optionally remove added observers 2025-08-26T19:58:36.0751662Z Optional 2025-08-26T19:58:36.0751934Z 6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance 2025-08-26T19:58:36.0752225Z 7.) To help in parsing report information and debugging, view report info as a: 2025-08-26T19:58:36.0752314Z - Table 2025-08-26T19:58:36.0752403Z - Histogram 2025-08-26T19:58:36.0752511Z - Line plot 2025-08-26T19:58:36.0752827Z 8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions 2025-08-26T19:58:36.0752922Z 2025-08-26T19:58:36.0753121Z Example (with QuantizationTracer): 2025-08-26T19:58:36.0753224Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0753349Z >>> # get the necessary qconfig 2025-08-26T19:58:36.0753467Z >>> config = PrepareCustomConfig() 2025-08-26T19:58:36.0753642Z >>> skipped_module_names, skipped_module_classes = ( 2025-08-26T19:58:36.0753804Z ... get_skipped_module_name_and_classes(config, False) 2025-08-26T19:58:36.0753890Z ... ) 2025-08-26T19:58:36.0753990Z 2025-08-26T19:58:36.0754127Z >>> # initialize our model and get GraphModule 2025-08-26T19:58:36.0754248Z >>> model = SomeModel() 2025-08-26T19:58:36.0754503Z >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes) 2025-08-26T19:58:36.0754827Z >>> graph_module = GraphModule(model, tracer.trace(model)) 2025-08-26T19:58:36.0754925Z 2025-08-26T19:58:36.0755082Z >>> # get our set of detectors and ModelReport instance 2025-08-26T19:58:36.0755197Z >>> detector_set = set( 2025-08-26T19:58:36.0755374Z ... [ 2025-08-26T19:58:36.0755517Z ... DynamicStaticDetector(tolerance=0.5), 2025-08-26T19:58:36.0755726Z ... InputWeightEqualizationDetector(ratio_threshold=0.7), 2025-08-26T19:58:36.0755806Z ... ] 2025-08-26T19:58:36.0755905Z ... ) 2025-08-26T19:58:36.0756115Z >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set) 2025-08-26T19:58:36.0756197Z 2025-08-26T19:58:36.0756370Z >>> # now we insert the observers and calibrate the model 2025-08-26T19:58:36.0756635Z >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration() 2025-08-26T19:58:36.0756766Z >>> for i in range(num_callibration_batches): 2025-08-26T19:58:36.0756918Z >>> example_input = get_callibration_input() 2025-08-26T19:58:36.0757057Z >>> tracer_model_with_observers(example_input) 2025-08-26T19:58:36.0757153Z 2025-08-26T19:58:36.0757415Z >>> # finally we generate the reports and optionally remove the observers we inserted 2025-08-26T19:58:36.0757571Z >>> reports = tracer_reporter.generate_model_report( 2025-08-26T19:58:36.0757703Z ... remove_inserted_observers=True 2025-08-26T19:58:36.0757786Z ... ) 2025-08-26T19:58:36.0757883Z 2025-08-26T19:58:36.0758111Z >>> # Optional: we can generate the qconfig mapping based on the suggestions 2025-08-26T19:58:36.0758267Z >>> qconfigs = model_report.generate_qconfig_mapping() 2025-08-26T19:58:36.0758402Z 2025-08-26T19:58:36.0758690Z >>> # Optional: we can generate the equalization mapping based on the suggestions 2025-08-26T19:58:36.0758883Z >>> qconfigs = model_report.generate_equalization_mapping() 2025-08-26T19:58:36.0758964Z 2025-08-26T19:58:36.0759246Z >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired 2025-08-26T19:58:36.0759476Z >>> model_report_visualizer = tracer_reporter.generate_visualizer() 2025-08-26T19:58:36.0759557Z 2025-08-26T19:58:36.0759654Z 2025-08-26T19:58:36.0759915Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0759993Z 2025-08-26T19:58:36.0760106Z warnings.warn(msg) 2025-08-26T19:58:36.0760188Z 2025-08-26T19:58:36.0760424Z --- Parse Warning: 42 / 146 --- 2025-08-26T19:58:36.0761734Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301. 2025-08-26T19:58:36.0762007Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0762103Z 2025-08-26T19:58:36.0762374Z Takes in optional filter values and generates two tables with desired information. 2025-08-26T19:58:36.0762471Z 2025-08-26T19:58:36.0762680Z The generated tables are presented in both a list-of-lists format 2025-08-26T19:58:36.0762759Z 2025-08-26T19:58:36.0762980Z The reason for the two tables are that they handle different things: 2025-08-26T19:58:36.0763144Z 1.) the first table handles all tensor level information 2025-08-26T19:58:36.0763376Z 2.) the second table handles and displays all channel based information 2025-08-26T19:58:36.0763455Z 2025-08-26T19:58:36.0763778Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2025-08-26T19:58:36.0764125Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2025-08-26T19:58:36.0764480Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2025-08-26T19:58:36.0764575Z 2025-08-26T19:58:36.0764673Z Tensor table columns: 2025-08-26T19:58:36.0764914Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2025-08-26T19:58:36.0765082Z ---- --------- --------- --------- --------- --------- 2025-08-26T19:58:36.0765189Z 2025-08-26T19:58:36.0765358Z Per-Channel table columns: 2025-08-26T19:58:36.0765630Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2025-08-26T19:58:36.0765796Z ---- --------- ------- --------- --------- --------- --------- 2025-08-26T19:58:36.0765891Z 2025-08-26T19:58:36.0765977Z Args: 2025-08-26T19:58:36.0766257Z feature_filter (str, optional): Filters the features presented to only those that 2025-08-26T19:58:36.0766371Z contain this filter substring 2025-08-26T19:58:36.0766536Z Default = "", results in all the features being printed 2025-08-26T19:58:36.0766810Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-26T19:58:36.0767061Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-26T19:58:36.0767158Z 2025-08-26T19:58:36.0767275Z Returns a dictionary with two keys: 2025-08-26T19:58:36.0767452Z (Dict[str, Tuple[List, List]]) A dict containing two keys: 2025-08-26T19:58:36.0767593Z "tensor_level_info", "channel_level_info" 2025-08-26T19:58:36.0767707Z Each key maps to a tuple with: 2025-08-26T19:58:36.0767842Z A list of the headers of each table 2025-08-26T19:58:36.0768059Z A list of lists containing the table information row by row 2025-08-26T19:58:36.0768269Z The 0th index row will contain the headers of the columns 2025-08-26T19:58:36.0768408Z The rest of the rows will contain data 2025-08-26T19:58:36.0768489Z 2025-08-26T19:58:36.0768593Z Example Use: 2025-08-26T19:58:36.0768724Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:36.0768874Z >>> mod_report_visualizer.generate_filtered_tables( 2025-08-26T19:58:36.0769085Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-26T19:58:36.0769358Z ... ) # generates table with per_channel_min info for all modules in block 1 of the model 2025-08-26T19:58:36.0769457Z 2025-08-26T19:58:36.0769712Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0769791Z 2025-08-26T19:58:36.0769900Z warnings.warn(msg) 2025-08-26T19:58:36.0769980Z 2025-08-26T19:58:36.0770205Z --- Parse Warning: 43 / 146 --- 2025-08-26T19:58:36.0771529Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399. 2025-08-26T19:58:36.0771808Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0771893Z 2025-08-26T19:58:36.0772166Z Takes in optional filter values and prints out formatted tables of the information. 2025-08-26T19:58:36.0772262Z 2025-08-26T19:58:36.0772606Z The reason for the two tables printed out instead of one large one are that they handle different things: 2025-08-26T19:58:36.0772784Z 1.) the first table handles all tensor level information 2025-08-26T19:58:36.0773001Z 2.) the second table handles and displays all channel based information 2025-08-26T19:58:36.0773083Z 2025-08-26T19:58:36.0773420Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2025-08-26T19:58:36.0773751Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2025-08-26T19:58:36.0774120Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2025-08-26T19:58:36.0774200Z 2025-08-26T19:58:36.0774325Z Tensor table columns: 2025-08-26T19:58:36.0774531Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2025-08-26T19:58:36.0774681Z ---- --------- --------- --------- --------- --------- 2025-08-26T19:58:36.0774774Z 2025-08-26T19:58:36.0774880Z Per-Channel table columns: 2025-08-26T19:58:36.0774959Z 2025-08-26T19:58:36.0775190Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2025-08-26T19:58:36.0775351Z ---- --------- ------- --------- --------- --------- --------- 2025-08-26T19:58:36.0775436Z 2025-08-26T19:58:36.0775533Z Args: 2025-08-26T19:58:36.0775795Z feature_filter (str, optional): Filters the features presented to only those that 2025-08-26T19:58:36.0775921Z contain this filter substring 2025-08-26T19:58:36.0776083Z Default = "", results in all the features being printed 2025-08-26T19:58:36.0776343Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-26T19:58:36.0776604Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-26T19:58:36.0776684Z 2025-08-26T19:58:36.0776789Z Example Use: 2025-08-26T19:58:36.0776915Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:36.0777085Z >>> mod_report_visualizer.generate_table_visualization( 2025-08-26T19:58:36.0777294Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-26T19:58:36.0777416Z ... ) 2025-08-26T19:58:36.0777649Z >>> # prints out neatly formatted table with per_channel_min info 2025-08-26T19:58:36.0777776Z >>> # for all modules in block 1 of the model 2025-08-26T19:58:36.0777856Z 2025-08-26T19:58:36.0778122Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0778203Z 2025-08-26T19:58:36.0778313Z warnings.warn(msg) 2025-08-26T19:58:36.0778389Z 2025-08-26T19:58:36.0778583Z --- Parse Warning: 44 / 146 --- 2025-08-26T19:58:36.0779871Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564. 2025-08-26T19:58:36.0780131Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0780228Z 2025-08-26T19:58:36.0780496Z Takes in a feature and optional module_filter and plots of the desired data. 2025-08-26T19:58:36.0780578Z 2025-08-26T19:58:36.0780864Z For per channel features, it averages the value across the channels and plots a point 2025-08-26T19:58:36.0781120Z per module. The reason for this is that for models with hundreds of channels, it can 2025-08-26T19:58:36.0781410Z be hard to differentiate one channel line from another, and so the point of generating 2025-08-26T19:58:36.0781677Z a single average point per module is to give a sense of general trends that encourage 2025-08-26T19:58:36.0781788Z further deep dives. 2025-08-26T19:58:36.0781867Z 2025-08-26T19:58:36.0781949Z Note: 2025-08-26T19:58:36.0782227Z Only features in the report that have tensor value data are plottable by this class 2025-08-26T19:58:36.0782391Z When the tensor information is plotted, it will plot: 2025-08-26T19:58:36.0782543Z idx as the x val, feature value as the y_val 2025-08-26T19:58:36.0782713Z When the channel information is plotted, it will plot: 2025-08-26T19:58:36.0782978Z the first idx of each module as the x val, feature value as the y_val [for each channel] 2025-08-26T19:58:36.0783219Z The reason for this is that we want to be able to compare values across the 2025-08-26T19:58:36.0783451Z channels for same layer, and it will be hard if values are staggered by idx 2025-08-26T19:58:36.0783660Z This means each module is represented by only 1 x value 2025-08-26T19:58:36.0783745Z Args: 2025-08-26T19:58:36.0783974Z feature_filter (str): Filters the features presented to only those that 2025-08-26T19:58:36.0784099Z contain this filter substring 2025-08-26T19:58:36.0784357Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-26T19:58:36.0784617Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-26T19:58:36.0784703Z 2025-08-26T19:58:36.0784795Z Example Use: 2025-08-26T19:58:36.0784943Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:36.0785109Z >>> mod_report_visualizer.generate_plot_visualization( 2025-08-26T19:58:36.0785318Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-26T19:58:36.0785402Z ... ) 2025-08-26T19:58:36.0785585Z >>> # outputs line plot of per_channel_min information for all 2025-08-26T19:58:36.0785785Z >>> # modules in block1 of model each channel gets it's own line, 2025-08-26T19:58:36.0785958Z >>> # and it's plotted across the in-order modules on the x-axis 2025-08-26T19:58:36.0786049Z 2025-08-26T19:58:36.0786314Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0786393Z 2025-08-26T19:58:36.0786504Z warnings.warn(msg) 2025-08-26T19:58:36.0786669Z 2025-08-26T19:58:36.0786920Z --- Parse Warning: 45 / 146 --- 2025-08-26T19:58:36.0788279Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643. 2025-08-26T19:58:36.0788545Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0788640Z 2025-08-26T19:58:36.0788921Z Takes in a feature and optional module_filter and plots the histogram of desired data. 2025-08-26T19:58:36.0789016Z 2025-08-26T19:58:36.0789099Z Note: 2025-08-26T19:58:36.0789366Z Only features in the report that have tensor value data can be viewed as a histogram 2025-08-26T19:58:36.0789644Z If you want to plot a histogram from all the channel values of a specific feature for 2025-08-26T19:58:36.0789921Z a specific model, make sure to specify both the model and the feature properly 2025-08-26T19:58:36.0790186Z in the filters and you should be able to see a distribution of the channel data 2025-08-26T19:58:36.0790267Z 2025-08-26T19:58:36.0790350Z Args: 2025-08-26T19:58:36.0790625Z feature_filter (str, optional): Filters the features presented to only those that 2025-08-26T19:58:36.0790736Z contain this filter substring 2025-08-26T19:58:36.0790916Z Default = "", results in all the features being printed 2025-08-26T19:58:36.0791176Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-26T19:58:36.0791420Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-26T19:58:36.0791657Z num_bins (int, optional): The number of bins to create the histogram with 2025-08-26T19:58:36.0791843Z Default = 10, the values will be split into 10 equal sized bins 2025-08-26T19:58:36.0791939Z 2025-08-26T19:58:36.0792030Z Example Use: 2025-08-26T19:58:36.0792153Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0792454Z >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization( 2025-08-26T19:58:36.0792647Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-26T19:58:36.0792775Z ... ) 2025-08-26T19:58:36.0793167Z # outputs histogram of per_channel_min information for all modules in block1 of model 2025-08-26T19:58:36.0793446Z information is gathered across all channels for all modules in block 1 for the 2025-08-26T19:58:36.0793669Z per_channel_min and is displayed in a histogram of equally sized bins 2025-08-26T19:58:36.0793750Z 2025-08-26T19:58:36.0794019Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0794098Z 2025-08-26T19:58:36.0794210Z warnings.warn(msg) 2025-08-26T19:58:36.0794295Z 2025-08-26T19:58:36.0794496Z --- Parse Warning: 46 / 146 --- 2025-08-26T19:58:36.0795423Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=record_function in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py line=734. 2025-08-26T19:58:36.0795688Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0796091Z Context manager/function decorator that adds a label to a code block/function when running autograd profiler. 2025-08-26T19:58:36.0796278Z Label will only appear if CPU activity tracing is enabled. 2025-08-26T19:58:36.0796357Z 2025-08-26T19:58:36.0796506Z It is useful when tracing the code profile. 2025-08-26T19:58:36.0796590Z 2025-08-26T19:58:36.0796687Z Args: 2025-08-26T19:58:36.0796835Z name (str): Label assigned to the block of code. 2025-08-26T19:58:36.0797050Z node_id (int): ID of node, for distributed profiling. Unset in 2025-08-26T19:58:36.0797199Z non-distributed cases. 2025-08-26T19:58:36.0797280Z 2025-08-26T19:58:36.0797379Z Example: 2025-08-26T19:58:36.0797563Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER) 2025-08-26T19:58:36.0797696Z >>> x = torch.randn((1, 1), requires_grad=True) 2025-08-26T19:58:36.0797872Z >>> with torch.autograd.profiler.profile() as prof: 2025-08-26T19:58:36.0797969Z ... y = x**2 2025-08-26T19:58:36.0798128Z ... with torch.autograd.profiler.record_function( 2025-08-26T19:58:36.0798236Z ... "label-z" 2025-08-26T19:58:36.0798338Z ... ): # label the block 2025-08-26T19:58:36.0798444Z ... z = y**3 2025-08-26T19:58:36.0798541Z ... y.backward() 2025-08-26T19:58:36.0798643Z >>> # xdoctest: +IGNORE_WANT 2025-08-26T19:58:36.0798795Z >>> # NOTE: some columns were removed for brevity 2025-08-26T19:58:36.0799077Z >>> print(prof.key_averages().table(sort_by="self_cpu_time_total")) 2025-08-26T19:58:36.0799287Z ----------------------------------- --------------- --------------- --------------- 2025-08-26T19:58:36.0799468Z Name Self CPU total % CPU time avg Number of Calls 2025-08-26T19:58:36.0799676Z ----------------------------------- --------------- --------------- --------------- 2025-08-26T19:58:36.0799810Z pow 60.77% 47.470us 3 2025-08-26T19:58:36.0799940Z mul 21.73% 25.465us 2 2025-08-26T19:58:36.0800123Z PowBackward0 12.03% 121.891us 1 2025-08-26T19:58:36.0800349Z torch::autograd::AccumulateGrad 2.70% 6.324us 1 2025-08-26T19:58:36.0800509Z label-z 2.13% 12.421us 1 2025-08-26T19:58:36.0800714Z torch::autograd::GraphRoot 0.64% 1.503us 1 2025-08-26T19:58:36.0800903Z ----------------------------------- --------------- --------------- --------------- 2025-08-26T19:58:36.0801021Z Self CPU time total: 234.344us 2025-08-26T19:58:36.0801121Z CUDA time total: 0.000us 2025-08-26T19:58:36.0801211Z 2025-08-26T19:58:36.0801319Z 2025-08-26T19:58:36.0801577Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0801668Z 2025-08-26T19:58:36.0801769Z warnings.warn(msg) 2025-08-26T19:58:36.0801858Z 2025-08-26T19:58:36.0802046Z --- Parse Warning: 47 / 146 --- 2025-08-26T19:58:36.0803009Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py line=721. 2025-08-26T19:58:36.0803266Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:36.0803347Z 2025-08-26T19:58:36.0803629Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-08-26T19:58:36.0803894Z The submesh created consists of the dimensions and the communicators indicated by 2025-08-26T19:58:36.0803990Z ``mesh_dim_names`` 2025-08-26T19:58:36.0804081Z 2025-08-26T19:58:36.0804165Z Args: 2025-08-26T19:58:36.0804413Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-08-26T19:58:36.0804602Z mesh dimension of the DeviceMesh to create the submesh for. 2025-08-26T19:58:36.0804687Z Returns: 2025-08-26T19:58:36.0804805Z A :class:`DeviceMesh` object 2025-08-26T19:58:36.0804884Z 2025-08-26T19:58:36.0805181Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-08-26T19:58:36.0805333Z In the first example: 2025-08-26T19:58:36.0805588Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-08-26T19:58:36.0805850Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-08-26T19:58:36.0806075Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-08-26T19:58:36.0806312Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-08-26T19:58:36.0806531Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-08-26T19:58:36.0806748Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-08-26T19:58:36.0806839Z 2025-08-26T19:58:36.0806936Z In the second example: 2025-08-26T19:58:36.0807214Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-08-26T19:58:36.0807505Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-08-26T19:58:36.0807785Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-08-26T19:58:36.0808045Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-08-26T19:58:36.0808124Z 2025-08-26T19:58:36.0808230Z Example:: 2025-08-26T19:58:36.0808310Z 2025-08-26T19:58:36.0808419Z >>> # xdoctest: +SKIP("no rank") 2025-08-26T19:58:36.0808604Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-08-26T19:58:36.0808687Z >>> 2025-08-26T19:58:36.0808903Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-08-26T19:58:36.0809047Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-08-26T19:58:36.0809298Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-26T19:58:36.0809419Z >>> tp_mesh = mesh_2d["tp"] 2025-08-26T19:58:36.0809520Z >>> dp_mesh = mesh_2d["dp"] 2025-08-26T19:58:36.0809619Z >>> 2025-08-26T19:58:36.0809717Z >>> # Initialize a 3D mesh. 2025-08-26T19:58:36.0809993Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-08-26T19:58:36.0810363Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-08-26T19:58:36.0810477Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-08-26T19:58:36.0810597Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-08-26T19:58:36.0810676Z 2025-08-26T19:58:36.0811357Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-08-26T19:58:36.0811453Z 2025-08-26T19:58:36.0811700Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-26T19:58:36.0811836Z ^ 2025-08-26T19:58:36.0811932Z warnings.warn(msg) 2025-08-26T19:58:36.0812010Z 2025-08-26T19:58:36.0812214Z --- Parse Warning: 48 / 146 --- 2025-08-26T19:58:36.0813188Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=batch_isend_irecv in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2710. 2025-08-26T19:58:36.0813465Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0813545Z 2025-08-26T19:58:36.0813810Z Send or Receive a batch of tensors asynchronously and return a list of requests. 2025-08-26T19:58:36.0813890Z 2025-08-26T19:58:36.0814138Z Process each of the operations in ``p2p_op_list`` and return the corresponding 2025-08-26T19:58:36.0814443Z requests. NCCL, Gloo, and UCC backend are currently supported. 2025-08-26T19:58:36.0814522Z 2025-08-26T19:58:36.0814621Z Args: 2025-08-26T19:58:36.0814844Z p2p_op_list: A list of point-to-point operations(type of each operator is 2025-08-26T19:58:36.0815072Z ``torch.distributed.P2POp``). The order of the isend/irecv in the list 2025-08-26T19:58:36.0815301Z matters and it needs to match with corresponding isend/irecv on the 2025-08-26T19:58:36.0815391Z remote end. 2025-08-26T19:58:36.0815487Z 2025-08-26T19:58:36.0815571Z Returns: 2025-08-26T19:58:36.0815816Z A list of distributed request objects returned by calling the corresponding 2025-08-26T19:58:36.0815928Z op in the op_list. 2025-08-26T19:58:36.0816008Z 2025-08-26T19:58:36.0816091Z Examples: 2025-08-26T19:58:36.0816215Z >>> # xdoctest: +SKIP("no rank") 2025-08-26T19:58:36.0816404Z >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank 2025-08-26T19:58:36.0816598Z >>> recv_tensor = torch.randn(2, dtype=torch.float32) 2025-08-26T19:58:36.0816808Z >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size) 2025-08-26T19:58:36.0816908Z >>> recv_op = dist.P2POp( 2025-08-26T19:58:36.0817110Z ... dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size 2025-08-26T19:58:36.0817191Z ... ) 2025-08-26T19:58:36.0817339Z >>> reqs = batch_isend_irecv([send_op, recv_op]) 2025-08-26T19:58:36.0817432Z >>> for req in reqs: 2025-08-26T19:58:36.0817522Z >>> req.wait() 2025-08-26T19:58:36.0817623Z >>> recv_tensor 2025-08-26T19:58:36.0817718Z tensor([2, 3]) # Rank 0 2025-08-26T19:58:36.0817825Z tensor([0, 1]) # Rank 1 2025-08-26T19:58:36.0817901Z 2025-08-26T19:58:36.0818141Z .. note:: Note that when this API is used with the NCCL PG backend, users must set 2025-08-26T19:58:36.0818380Z the current GPU device with `torch.cuda.set_device`, otherwise it will 2025-08-26T19:58:36.0818488Z lead to unexpected hang issues. 2025-08-26T19:58:36.0818583Z 2025-08-26T19:58:36.0818790Z In addition, if this API is the first collective call in the ``group`` 2025-08-26T19:58:36.0819009Z passed to ``dist.P2POp``, all ranks of the ``group`` must participate in 2025-08-26T19:58:36.0819271Z this API call; otherwise, the behavior is undefined. If this API call is 2025-08-26T19:58:36.0819490Z not the first collective call in the ``group``, batched P2P operations 2025-08-26T19:58:36.0819698Z involving only a subset of ranks of the ``group`` are allowed. 2025-08-26T19:58:36.0819778Z 2025-08-26T19:58:36.0820026Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0820119Z 2025-08-26T19:58:36.0820212Z warnings.warn(msg) 2025-08-26T19:58:36.0820303Z 2025-08-26T19:58:36.0820497Z --- Parse Warning: 49 / 146 --- 2025-08-26T19:58:36.0821444Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_reduce in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2842. 2025-08-26T19:58:36.0821722Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0821801Z 2025-08-26T19:58:36.0822085Z Reduces the tensor data across all machines in a way that all get the final result. 2025-08-26T19:58:36.0822166Z 2025-08-26T19:58:36.0822397Z After the call ``tensor`` is going to be bitwise identical in all processes. 2025-08-26T19:58:36.0822490Z 2025-08-26T19:58:36.0822600Z Complex tensors are supported. 2025-08-26T19:58:36.0822696Z 2025-08-26T19:58:36.0822781Z Args: 2025-08-26T19:58:36.0822985Z tensor (Tensor): Input and output of the collective. The function 2025-08-26T19:58:36.0823129Z operates in-place. 2025-08-26T19:58:36.0823276Z op (optional): One of the values from 2025-08-26T19:58:36.0823404Z ``torch.distributed.ReduceOp`` 2025-08-26T19:58:36.0823604Z enum. Specifies an operation used for element-wise reductions. 2025-08-26T19:58:36.0823832Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-26T19:58:36.0823971Z the default process group will be used. 2025-08-26T19:58:36.0824167Z async_op (bool, optional): Whether this op should be an async op 2025-08-26T19:58:36.0824259Z 2025-08-26T19:58:36.0824344Z Returns: 2025-08-26T19:58:36.0824482Z Async work handle, if async_op is set to True. 2025-08-26T19:58:36.0824639Z None, if not async_op or if not part of the group 2025-08-26T19:58:36.0824719Z 2025-08-26T19:58:36.0824804Z Examples: 2025-08-26T19:58:36.0824923Z >>> # xdoctest: +SKIP("no rank") 2025-08-26T19:58:36.0825062Z >>> # All tensors below are of torch.int64 type. 2025-08-26T19:58:36.0825219Z >>> # We have 2 process groups, 2 ranks. 2025-08-26T19:58:36.0825344Z >>> device = torch.device(f"cuda:{rank}") 2025-08-26T19:58:36.0825571Z >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank 2025-08-26T19:58:36.0825670Z >>> tensor 2025-08-26T19:58:36.0825787Z tensor([1, 2], device='cuda:0') # Rank 0 2025-08-26T19:58:36.0825915Z tensor([3, 4], device='cuda:1') # Rank 1 2025-08-26T19:58:36.0826052Z >>> dist.all_reduce(tensor, op=ReduceOp.SUM) 2025-08-26T19:58:36.0826133Z >>> tensor 2025-08-26T19:58:36.0826261Z tensor([4, 6], device='cuda:0') # Rank 0 2025-08-26T19:58:36.0826376Z tensor([4, 6], device='cuda:1') # Rank 1 2025-08-26T19:58:36.0826467Z 2025-08-26T19:58:36.0826606Z >>> # All tensors below are of torch.cfloat type. 2025-08-26T19:58:36.0826720Z >>> # We have 2 process groups, 2 ranks. 2025-08-26T19:58:36.0826839Z >>> tensor = torch.tensor( 2025-08-26T19:58:36.0826989Z ... [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device 2025-08-26T19:58:36.0827096Z ... ) + 2 * rank * (1 + 1j) 2025-08-26T19:58:36.0827183Z >>> tensor 2025-08-26T19:58:36.0827318Z tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0 2025-08-26T19:58:36.0827469Z tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1 2025-08-26T19:58:36.0827604Z >>> dist.all_reduce(tensor, op=ReduceOp.SUM) 2025-08-26T19:58:36.0827734Z >>> tensor 2025-08-26T19:58:36.0827872Z tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0 2025-08-26T19:58:36.0828004Z tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1 2025-08-26T19:58:36.0828099Z 2025-08-26T19:58:36.0828182Z 2025-08-26T19:58:36.0828449Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0828531Z 2025-08-26T19:58:36.0828631Z warnings.warn(msg) 2025-08-26T19:58:36.0828731Z 2025-08-26T19:58:36.0828923Z --- Parse Warning: 50 / 146 --- 2025-08-26T19:58:36.0829884Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=gather_object in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3202. 2025-08-26T19:58:36.0830160Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0830242Z 2025-08-26T19:58:36.0830484Z Gathers picklable objects from the whole group in a single process. 2025-08-26T19:58:36.0830567Z 2025-08-26T19:58:36.0830815Z Similar to :func:`gather`, but Python objects can be passed in. Note that the 2025-08-26T19:58:36.0830963Z object must be picklable in order to be gathered. 2025-08-26T19:58:36.0831043Z 2025-08-26T19:58:36.0831135Z Args: 2025-08-26T19:58:36.0831267Z obj (Any): Input object. Must be picklable. 2025-08-26T19:58:36.0831506Z object_gather_list (list[Any]): Output list. On the ``dst`` rank, it 2025-08-26T19:58:36.0831734Z should be correctly sized as the size of the group for this 2025-08-26T19:58:36.0831949Z collective and will contain the output. Must be ``None`` on non-dst 2025-08-26T19:58:36.0832068Z ranks. (default is ``None``) 2025-08-26T19:58:36.0832387Z dst (int, optional): Destination rank on global process group (regardless of ``group`` argument). 2025-08-26T19:58:36.0832595Z (If both ``dst`` and ``group_dst`` are None, default is global rank 0) 2025-08-26T19:58:36.0832826Z group: (ProcessGroup, optional): The process group to work on. If None, 2025-08-26T19:58:36.0833015Z the default process group will be used. Default is ``None``. 2025-08-26T19:58:36.0833459Z group_dst (int, optional): Destination rank on ``group``. Invalid to specify both ``dst`` and ``group_dst`` 2025-08-26T19:58:36.0833541Z 2025-08-26T19:58:36.0833641Z Returns: 2025-08-26T19:58:36.0833853Z None. On the ``dst`` rank, ``object_gather_list`` will contain the 2025-08-26T19:58:36.0833959Z output of the collective. 2025-08-26T19:58:36.0834057Z 2025-08-26T19:58:36.0834321Z .. note:: Note that this API differs slightly from the gather collective 2025-08-26T19:58:36.0834554Z since it does not provide an async_op handle and thus will be a blocking 2025-08-26T19:58:36.0834635Z call. 2025-08-26T19:58:36.0834714Z 2025-08-26T19:58:36.0834957Z .. note:: For NCCL-based processed groups, internal tensor representations 2025-08-26T19:58:36.0835167Z of objects must be moved to the GPU device before communication takes 2025-08-26T19:58:36.0835326Z place. In this case, the device used is given by 2025-08-26T19:58:36.0835544Z ``torch.cuda.current_device()`` and it is the user's responsibility to 2025-08-26T19:58:36.0835752Z ensure that this is set so that each rank has an individual GPU, via 2025-08-26T19:58:36.0835878Z ``torch.cuda.set_device()``. 2025-08-26T19:58:36.0835961Z 2025-08-26T19:58:36.0836061Z .. warning:: 2025-08-26T19:58:36.0836305Z Object collectives have a number of serious performance and scalability 2025-08-26T19:58:36.0836483Z limitations. See :ref:`object_collectives` for details. 2025-08-26T19:58:36.0836573Z 2025-08-26T19:58:36.0836661Z .. warning:: 2025-08-26T19:58:36.0836898Z :func:`gather_object` uses ``pickle`` module implicitly, which is 2025-08-26T19:58:36.0837121Z known to be insecure. It is possible to construct malicious pickle data 2025-08-26T19:58:36.0837339Z which will execute arbitrary code during unpickling. Only call this 2025-08-26T19:58:36.0837462Z function with data you trust. 2025-08-26T19:58:36.0837543Z 2025-08-26T19:58:36.0837650Z .. warning:: 2025-08-26T19:58:36.0837861Z Calling :func:`gather_object` with GPU tensors is not well supported 2025-08-26T19:58:36.0838091Z and inefficient as it incurs GPU -> CPU transfer since tensors would be 2025-08-26T19:58:36.0838273Z pickled. Please consider using :func:`gather` instead. 2025-08-26T19:58:36.0838353Z 2025-08-26T19:58:36.0838441Z Example:: 2025-08-26T19:58:36.0838593Z >>> # xdoctest: +SKIP("need process group init") 2025-08-26T19:58:36.0838771Z >>> # Note: Process group initialization omitted on each rank. 2025-08-26T19:58:36.0838905Z >>> import torch.distributed as dist 2025-08-26T19:58:36.0839015Z >>> # Assumes world_size of 3. 2025-08-26T19:58:36.0839193Z >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object 2025-08-26T19:58:36.0839332Z >>> output = [None for _ in gather_objects] 2025-08-26T19:58:36.0839433Z >>> dist.gather_object( 2025-08-26T19:58:36.0839567Z ... gather_objects[dist.get_rank()], 2025-08-26T19:58:36.0839699Z ... output if dist.get_rank() == 0 else None, 2025-08-26T19:58:36.0839814Z ... dst=0 2025-08-26T19:58:36.0839913Z ... ) 2025-08-26T19:58:36.0840031Z >>> # On rank 0 2025-08-26T19:58:36.0840132Z >>> output 2025-08-26T19:58:36.0840223Z ['foo', 12, {1: 2}] 2025-08-26T19:58:36.0840303Z 2025-08-26T19:58:36.0840573Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0840653Z 2025-08-26T19:58:36.0840763Z warnings.warn(msg) 2025-08-26T19:58:36.0840843Z 2025-08-26T19:58:36.0841048Z --- Parse Warning: 51 / 146 --- 2025-08-26T19:58:36.0842005Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_gather in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3798. 2025-08-26T19:58:36.0842268Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0842364Z 2025-08-26T19:58:36.0842512Z Gathers tensors from the whole group in a list. 2025-08-26T19:58:36.0842620Z 2025-08-26T19:58:36.0842828Z Complex and uneven sized tensors are supported. 2025-08-26T19:58:36.0842911Z 2025-08-26T19:58:36.0843009Z Args: 2025-08-26T19:58:36.0843190Z tensor_list (list[Tensor]): Output list. It should contain 2025-08-26T19:58:36.0843406Z correctly-sized tensors to be used for output of the collective. 2025-08-26T19:58:36.0843560Z Uneven sized tensors are supported. 2025-08-26T19:58:36.0843749Z tensor (Tensor): Tensor to be broadcast from current process. 2025-08-26T19:58:36.0843992Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-26T19:58:36.0844116Z the default process group will be used. 2025-08-26T19:58:36.0844308Z async_op (bool, optional): Whether this op should be an async op 2025-08-26T19:58:36.0844408Z 2025-08-26T19:58:36.0844491Z Returns: 2025-08-26T19:58:36.0844632Z Async work handle, if async_op is set to True. 2025-08-26T19:58:36.0844799Z None, if not async_op or if not part of the group 2025-08-26T19:58:36.0844884Z 2025-08-26T19:58:36.0844985Z Examples: 2025-08-26T19:58:36.0845120Z >>> # xdoctest: +SKIP("need process group init") 2025-08-26T19:58:36.0845254Z >>> # All tensors below are of torch.int64 dtype. 2025-08-26T19:58:36.0845387Z >>> # We have 2 process groups, 2 ranks. 2025-08-26T19:58:36.0845505Z >>> device = torch.device(f"cuda:{rank}") 2025-08-26T19:58:36.0845643Z >>> tensor_list = [ 2025-08-26T19:58:36.0845855Z ... torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2) 2025-08-26T19:58:36.0845938Z ... ] 2025-08-26T19:58:36.0846097Z >>> tensor_list 2025-08-26T19:58:36.0846296Z [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0 2025-08-26T19:58:36.0846503Z [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1 2025-08-26T19:58:36.0846731Z >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank 2025-08-26T19:58:36.0846817Z >>> tensor 2025-08-26T19:58:36.0846943Z tensor([1, 2], device='cuda:0') # Rank 0 2025-08-26T19:58:36.0847057Z tensor([3, 4], device='cuda:1') # Rank 1 2025-08-26T19:58:36.0847186Z >>> dist.all_gather(tensor_list, tensor) 2025-08-26T19:58:36.0847276Z >>> tensor_list 2025-08-26T19:58:36.0847472Z [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0 2025-08-26T19:58:36.0847676Z [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1 2025-08-26T19:58:36.0847756Z 2025-08-26T19:58:36.0847914Z >>> # All tensors below are of torch.cfloat dtype. 2025-08-26T19:58:36.0848029Z >>> # We have 2 process groups, 2 ranks. 2025-08-26T19:58:36.0848122Z >>> tensor_list = [ 2025-08-26T19:58:36.0848348Z ... torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2) 2025-08-26T19:58:36.0848459Z ... ] 2025-08-26T19:58:36.0848588Z >>> tensor_list 2025-08-26T19:58:36.0848836Z [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0 2025-08-26T19:58:36.0849078Z [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1 2025-08-26T19:58:36.0849194Z >>> tensor = torch.tensor( 2025-08-26T19:58:36.0849341Z ... [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device 2025-08-26T19:58:36.0849450Z ... ) + 2 * rank * (1 + 1j) 2025-08-26T19:58:36.0849535Z >>> tensor 2025-08-26T19:58:36.0849674Z tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0 2025-08-26T19:58:36.0849824Z tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1 2025-08-26T19:58:36.0849943Z >>> dist.all_gather(tensor_list, tensor) 2025-08-26T19:58:36.0850045Z >>> tensor_list 2025-08-26T19:58:36.0850286Z [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0 2025-08-26T19:58:36.0850555Z [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1 2025-08-26T19:58:36.0850652Z 2025-08-26T19:58:36.0850735Z 2025-08-26T19:58:36.0851012Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0851093Z 2025-08-26T19:58:36.0851191Z warnings.warn(msg) 2025-08-26T19:58:36.0851289Z 2025-08-26T19:58:36.0851486Z --- Parse Warning: 52 / 146 --- 2025-08-26T19:58:36.0852469Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all_single in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4504. 2025-08-26T19:58:36.0852735Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0852814Z 2025-08-26T19:58:36.0853084Z Split input tensor and then scatter the split list to all processes in a group. 2025-08-26T19:58:36.0853169Z 2025-08-26T19:58:36.0853444Z Later the received tensors are concatenated from all the processes in the group 2025-08-26T19:58:36.0853566Z and returned as a single output tensor. 2025-08-26T19:58:36.0853647Z 2025-08-26T19:58:36.0853776Z Complex tensors are supported. 2025-08-26T19:58:36.0853856Z 2025-08-26T19:58:36.0853955Z Args: 2025-08-26T19:58:36.0854154Z output (Tensor): Gathered concatenated output tensor. 2025-08-26T19:58:36.0854282Z input (Tensor): Input tensor to scatter. 2025-08-26T19:58:36.0854520Z output_split_sizes: (list[Int], optional): Output split sizes for dim 0 2025-08-26T19:58:36.0854877Z if specified None or empty, dim 0 of ``output`` tensor must divide 2025-08-26T19:58:36.0855009Z equally by ``world_size``. 2025-08-26T19:58:36.0855223Z input_split_sizes: (list[Int], optional): Input split sizes for dim 0 2025-08-26T19:58:36.0855430Z if specified None or empty, dim 0 of ``input`` tensor must divide 2025-08-26T19:58:36.0855554Z equally by ``world_size``. 2025-08-26T19:58:36.0855785Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-26T19:58:36.0855929Z the default process group will be used. 2025-08-26T19:58:36.0856126Z async_op (bool, optional): Whether this op should be an async op. 2025-08-26T19:58:36.0856208Z 2025-08-26T19:58:36.0856311Z Returns: 2025-08-26T19:58:36.0856453Z Async work handle, if async_op is set to True. 2025-08-26T19:58:36.0856615Z None, if not async_op or if not part of the group. 2025-08-26T19:58:36.0856696Z 2025-08-26T19:58:36.0856791Z .. warning:: 2025-08-26T19:58:36.0856981Z `all_to_all_single` is experimental and subject to change. 2025-08-26T19:58:36.0857063Z 2025-08-26T19:58:36.0857152Z Examples: 2025-08-26T19:58:36.0857289Z >>> # xdoctest: +SKIP("Undefined rank") 2025-08-26T19:58:36.0857487Z >>> input = torch.arange(4) + rank * 4 2025-08-26T19:58:36.0857633Z >>> input 2025-08-26T19:58:36.0857737Z tensor([0, 1, 2, 3]) # Rank 0 2025-08-26T19:58:36.0857837Z tensor([4, 5, 6, 7]) # Rank 1 2025-08-26T19:58:36.0857953Z tensor([8, 9, 10, 11]) # Rank 2 2025-08-26T19:58:36.0858056Z tensor([12, 13, 14, 15]) # Rank 3 2025-08-26T19:58:36.0858216Z >>> output = torch.empty([4], dtype=torch.int64) 2025-08-26T19:58:36.0858343Z >>> dist.all_to_all_single(output, input) 2025-08-26T19:58:36.0858431Z >>> output 2025-08-26T19:58:36.0858546Z tensor([0, 4, 8, 12]) # Rank 0 2025-08-26T19:58:36.0858644Z tensor([1, 5, 9, 13]) # Rank 1 2025-08-26T19:58:36.0858760Z tensor([2, 6, 10, 14]) # Rank 2 2025-08-26T19:58:36.0858858Z tensor([3, 7, 11, 15]) # Rank 3 2025-08-26T19:58:36.0858940Z 2025-08-26T19:58:36.0859119Z >>> # Essentially, it is similar to following operation: 2025-08-26T19:58:36.0859744Z >>> scatter_list = list(input.chunk(world_size)) 2025-08-26T19:58:36.0859901Z >>> gather_list = list(output.chunk(world_size)) 2025-08-26T19:58:36.0860006Z >>> for i in range(world_size): 2025-08-26T19:58:36.0860234Z >>> dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i) 2025-08-26T19:58:36.0860333Z 2025-08-26T19:58:36.0860455Z >>> # Another example with uneven split 2025-08-26T19:58:36.0860542Z >>> input 2025-08-26T19:58:36.0860714Z tensor([0, 1, 2, 3, 4, 5]) # Rank 0 2025-08-26T19:58:36.0860874Z tensor([10, 11, 12, 13, 14, 15, 16, 17, 18]) # Rank 1 2025-08-26T19:58:36.0861042Z tensor([20, 21, 22, 23, 24]) # Rank 2 2025-08-26T19:58:36.0861198Z tensor([30, 31, 32, 33, 34, 35, 36]) # Rank 3 2025-08-26T19:58:36.0861308Z >>> input_splits 2025-08-26T19:58:36.0861429Z [2, 2, 1, 1] # Rank 0 2025-08-26T19:58:36.0861549Z [3, 2, 2, 2] # Rank 1 2025-08-26T19:58:36.0861678Z [2, 1, 1, 1] # Rank 2 2025-08-26T19:58:36.0861794Z [2, 2, 2, 1] # Rank 3 2025-08-26T19:58:36.0861941Z >>> output_splits 2025-08-26T19:58:36.0862061Z [2, 3, 2, 2] # Rank 0 2025-08-26T19:58:36.0862178Z [2, 2, 1, 2] # Rank 1 2025-08-26T19:58:36.0862308Z [1, 2, 1, 2] # Rank 2 2025-08-26T19:58:36.0862425Z [1, 2, 1, 1] # Rank 3 2025-08-26T19:58:36.0862532Z >>> output = ... 2025-08-26T19:58:36.0862743Z >>> dist.all_to_all_single(output, input, output_splits, input_splits) 2025-08-26T19:58:36.0862830Z >>> output 2025-08-26T19:58:36.0863000Z tensor([ 0, 1, 10, 11, 12, 20, 21, 30, 31]) # Rank 0 2025-08-26T19:58:36.0863151Z tensor([ 2, 3, 13, 14, 22, 32, 33]) # Rank 1 2025-08-26T19:58:36.0863320Z tensor([ 4, 15, 16, 23, 34, 35]) # Rank 2 2025-08-26T19:58:36.0863470Z tensor([ 5, 17, 18, 24, 36]) # Rank 3 2025-08-26T19:58:36.0863550Z 2025-08-26T19:58:36.0863645Z 2025-08-26T19:58:36.0863806Z >>> # Another example with tensors of torch.cfloat type. 2025-08-26T19:58:36.0863925Z >>> input = torch.tensor( 2025-08-26T19:58:36.0864063Z ... [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat 2025-08-26T19:58:36.0864158Z ... ) + 4 * rank * (1 + 1j) 2025-08-26T19:58:36.0864287Z >>> input 2025-08-26T19:58:36.0864463Z tensor([1+1j, 2+2j, 3+3j, 4+4j]) # Rank 0 2025-08-26T19:58:36.0864669Z tensor([5+5j, 6+6j, 7+7j, 8+8j]) # Rank 1 2025-08-26T19:58:36.0864847Z tensor([9+9j, 10+10j, 11+11j, 12+12j]) # Rank 2 2025-08-26T19:58:36.0865030Z tensor([13+13j, 14+14j, 15+15j, 16+16j]) # Rank 3 2025-08-26T19:58:36.0865190Z >>> output = torch.empty([4], dtype=torch.int64) 2025-08-26T19:58:36.0865315Z >>> dist.all_to_all_single(output, input) 2025-08-26T19:58:36.0865415Z >>> output 2025-08-26T19:58:36.0865589Z tensor([1+1j, 5+5j, 9+9j, 13+13j]) # Rank 0 2025-08-26T19:58:36.0865764Z tensor([2+2j, 6+6j, 10+10j, 14+14j]) # Rank 1 2025-08-26T19:58:36.0865953Z tensor([3+3j, 7+7j, 11+11j, 15+15j]) # Rank 2 2025-08-26T19:58:36.0866126Z tensor([4+4j, 8+8j, 12+12j, 16+16j]) # Rank 3 2025-08-26T19:58:36.0866248Z 2025-08-26T19:58:36.0866500Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0866579Z 2025-08-26T19:58:36.0866689Z warnings.warn(msg) 2025-08-26T19:58:36.0866769Z 2025-08-26T19:58:36.0867003Z --- Parse Warning: 53 / 146 --- 2025-08-26T19:58:36.0867947Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4646. 2025-08-26T19:58:36.0868209Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0868305Z 2025-08-26T19:58:36.0868675Z Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list. 2025-08-26T19:58:36.0868773Z 2025-08-26T19:58:36.0868885Z Complex tensors are supported. 2025-08-26T19:58:36.0868970Z 2025-08-26T19:58:36.0869071Z Args: 2025-08-26T19:58:36.0869291Z output_tensor_list (list[Tensor]): List of tensors to be gathered one 2025-08-26T19:58:36.0869395Z per rank. 2025-08-26T19:58:36.0869625Z input_tensor_list (list[Tensor]): List of tensors to scatter one per rank. 2025-08-26T19:58:36.0869856Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-26T19:58:36.0870030Z the default process group will be used. 2025-08-26T19:58:36.0870230Z async_op (bool, optional): Whether this op should be an async op. 2025-08-26T19:58:36.0870325Z 2025-08-26T19:58:36.0870408Z Returns: 2025-08-26T19:58:36.0870548Z Async work handle, if async_op is set to True. 2025-08-26T19:58:36.0870707Z None, if not async_op or if not part of the group. 2025-08-26T19:58:36.0870787Z 2025-08-26T19:58:36.0870897Z .. warning:: 2025-08-26T19:58:36.0871047Z `all_to_all` is experimental and subject to change. 2025-08-26T19:58:36.0871132Z 2025-08-26T19:58:36.0871234Z Examples: 2025-08-26T19:58:36.0871354Z >>> # xdoctest: +SKIP("Undefined rank") 2025-08-26T19:58:36.0871468Z >>> input = torch.arange(4) + rank * 4 2025-08-26T19:58:36.0871591Z >>> input = list(input.chunk(4)) 2025-08-26T19:58:36.0871676Z >>> input 2025-08-26T19:58:36.0871861Z [tensor([0]), tensor([1]), tensor([2]), tensor([3])] # Rank 0 2025-08-26T19:58:36.0872022Z [tensor([4]), tensor([5]), tensor([6]), tensor([7])] # Rank 1 2025-08-26T19:58:36.0872183Z [tensor([8]), tensor([9]), tensor([10]), tensor([11])] # Rank 2 2025-08-26T19:58:36.0872362Z [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3 2025-08-26T19:58:36.0872542Z >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4)) 2025-08-26T19:58:36.0872669Z >>> dist.all_to_all(output, input) 2025-08-26T19:58:36.0872783Z >>> output 2025-08-26T19:58:36.0872947Z [tensor([0]), tensor([4]), tensor([8]), tensor([12])] # Rank 0 2025-08-26T19:58:36.0873242Z [tensor([1]), tensor([5]), tensor([9]), tensor([13])] # Rank 1 2025-08-26T19:58:36.0873407Z [tensor([2]), tensor([6]), tensor([10]), tensor([14])] # Rank 2 2025-08-26T19:58:36.0873583Z [tensor([3]), tensor([7]), tensor([11]), tensor([15])] # Rank 3 2025-08-26T19:58:36.0873665Z 2025-08-26T19:58:36.0873829Z >>> # Essentially, it is similar to following operation: 2025-08-26T19:58:36.0873947Z >>> scatter_list = input 2025-08-26T19:58:36.0874045Z >>> gather_list = output 2025-08-26T19:58:36.0874167Z >>> for i in range(world_size): 2025-08-26T19:58:36.0874390Z >>> dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i) 2025-08-26T19:58:36.0874470Z 2025-08-26T19:58:36.0874568Z >>> input 2025-08-26T19:58:36.0874720Z tensor([0, 1, 2, 3, 4, 5]) # Rank 0 2025-08-26T19:58:36.0874927Z tensor([10, 11, 12, 13, 14, 15, 16, 17, 18]) # Rank 1 2025-08-26T19:58:36.0875081Z tensor([20, 21, 22, 23, 24]) # Rank 2 2025-08-26T19:58:36.0875237Z tensor([30, 31, 32, 33, 34, 35, 36]) # Rank 3 2025-08-26T19:58:36.0875345Z >>> input_splits 2025-08-26T19:58:36.0875468Z [2, 2, 1, 1] # Rank 0 2025-08-26T19:58:36.0875599Z [3, 2, 2, 2] # Rank 1 2025-08-26T19:58:36.0875717Z [2, 1, 1, 1] # Rank 2 2025-08-26T19:58:36.0875848Z [2, 2, 2, 1] # Rank 3 2025-08-26T19:58:36.0875941Z >>> output_splits 2025-08-26T19:58:36.0876058Z [2, 3, 2, 2] # Rank 0 2025-08-26T19:58:36.0876252Z [2, 2, 1, 2] # Rank 1 2025-08-26T19:58:36.0876374Z [1, 2, 1, 2] # Rank 2 2025-08-26T19:58:36.0876502Z [1, 2, 1, 1] # Rank 3 2025-08-26T19:58:36.0876629Z >>> input = list(input.split(input_splits)) 2025-08-26T19:58:36.0876713Z >>> input 2025-08-26T19:58:36.0876962Z [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])] # Rank 0 2025-08-26T19:58:36.0877164Z [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1 2025-08-26T19:58:36.0877380Z [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])] # Rank 2 2025-08-26T19:58:36.0877580Z [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])] # Rank 3 2025-08-26T19:58:36.0877672Z >>> output = ... 2025-08-26T19:58:36.0877804Z >>> dist.all_to_all(output, input) 2025-08-26T19:58:36.0877890Z >>> output 2025-08-26T19:58:36.0878102Z [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])] # Rank 0 2025-08-26T19:58:36.0878301Z [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])] # Rank 1 2025-08-26T19:58:36.0878505Z [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])] # Rank 2 2025-08-26T19:58:36.0878719Z [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])] # Rank 3 2025-08-26T19:58:36.0878802Z 2025-08-26T19:58:36.0878981Z >>> # Another example with tensors of torch.cfloat type. 2025-08-26T19:58:36.0879083Z >>> input = torch.tensor( 2025-08-26T19:58:36.0879223Z ... [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat 2025-08-26T19:58:36.0879332Z ... ) + 4 * rank * (1 + 1j) 2025-08-26T19:58:36.0879441Z >>> input = list(input.chunk(4)) 2025-08-26T19:58:36.0879573Z >>> input 2025-08-26T19:58:36.0879815Z [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])] # Rank 0 2025-08-26T19:58:36.0880024Z [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])] # Rank 1 2025-08-26T19:58:36.0880258Z [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])] # Rank 2 2025-08-26T19:58:36.0880481Z [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])] # Rank 3 2025-08-26T19:58:36.0880683Z >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4)) 2025-08-26T19:58:36.0880796Z >>> dist.all_to_all(output, input) 2025-08-26T19:58:36.0880880Z >>> output 2025-08-26T19:58:36.0881104Z [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])] # Rank 0 2025-08-26T19:58:36.0881312Z [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])] # Rank 1 2025-08-26T19:58:36.0881564Z [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])] # Rank 2 2025-08-26T19:58:36.0881776Z [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])] # Rank 3 2025-08-26T19:58:36.0881874Z 2025-08-26T19:58:36.0881953Z 2025-08-26T19:58:36.0882207Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0882304Z 2025-08-26T19:58:36.0882401Z warnings.warn(msg) 2025-08-26T19:58:36.0882482Z 2025-08-26T19:58:36.0882712Z --- Parse Warning: 54 / 146 --- 2025-08-26T19:58:36.0883570Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=__doc__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/launch.py line=2. 2025-08-26T19:58:36.0883852Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0883937Z 2025-08-26T19:58:36.0884061Z Module ``torch.distributed.launch``. 2025-08-26T19:58:36.0884161Z 2025-08-26T19:58:36.0884416Z ``torch.distributed.launch`` is a module that spawns up multiple distributed 2025-08-26T19:58:36.0884588Z training processes on each of the training nodes. 2025-08-26T19:58:36.0884670Z 2025-08-26T19:58:36.0884761Z .. warning:: 2025-08-26T19:58:36.0884859Z 2025-08-26T19:58:36.0885143Z This module is going to be deprecated in favor of :ref:`torchrun `. 2025-08-26T19:58:36.0885239Z 2025-08-26T19:58:36.0885479Z The utility can be used for single-node distributed training, in which one or 2025-08-26T19:58:36.0885718Z more processes per node will be spawned. The utility can be used for either 2025-08-26T19:58:36.0885953Z CPU training or GPU training. If the utility is used for GPU training, 2025-08-26T19:58:36.0886203Z each distributed process will be operating on a single GPU. This can achieve 2025-08-26T19:58:36.0886456Z well-improved single-node training performance. It can also be used in 2025-08-26T19:58:36.0886731Z multi-node distributed training, by spawning up multiple processes on each node 2025-08-26T19:58:36.0886962Z for well-improved multi-node distributed training performance as well. 2025-08-26T19:58:36.0887213Z This will especially be beneficial for systems with multiple Infiniband 2025-08-26T19:58:36.0887472Z interfaces that have direct-GPU support, since all of them can be utilized for 2025-08-26T19:58:36.0887609Z aggregated communication bandwidth. 2025-08-26T19:58:36.0887693Z 2025-08-26T19:58:36.0887930Z In both cases of single-node distributed training or multi-node distributed 2025-08-26T19:58:36.0888186Z training, this utility will launch the given number of processes per node 2025-08-26T19:58:36.0888414Z (``--nproc-per-node``). If used for GPU training, this number needs to be less 2025-08-26T19:58:36.0888652Z or equal to the number of GPUs on the current system (``nproc_per_node``), 2025-08-26T19:58:36.0888887Z and each process will be operating on a single GPU from *GPU 0 to 2025-08-26T19:58:36.0889042Z GPU (nproc_per_node - 1)*. 2025-08-26T19:58:36.0889123Z 2025-08-26T19:58:36.0889225Z **How to use this module:** 2025-08-26T19:58:36.0889325Z 2025-08-26T19:58:36.0889481Z 1. Single-Node multi-process distributed training 2025-08-26T19:58:36.0889563Z 2025-08-26T19:58:36.0889661Z :: 2025-08-26T19:58:36.0889741Z 2025-08-26T19:58:36.0889999Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-08-26T19:58:36.0890189Z YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other 2025-08-26T19:58:36.0890314Z arguments of your training script) 2025-08-26T19:58:36.0890412Z 2025-08-26T19:58:36.0890621Z 2. Multi-Node multi-process distributed training: (e.g. two nodes) 2025-08-26T19:58:36.0890712Z 2025-08-26T19:58:36.0890790Z 2025-08-26T19:58:36.0890939Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)* 2025-08-26T19:58:36.0891063Z 2025-08-26T19:58:36.0891150Z :: 2025-08-26T19:58:36.0891227Z 2025-08-26T19:58:36.0891475Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-08-26T19:58:36.0891633Z --nnodes=2 --node-rank=0 --master-addr="192.168.1.1" 2025-08-26T19:58:36.0891856Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2025-08-26T19:58:36.0892011Z and all other arguments of your training script) 2025-08-26T19:58:36.0892105Z 2025-08-26T19:58:36.0892189Z Node 2: 2025-08-26T19:58:36.0892268Z 2025-08-26T19:58:36.0892365Z :: 2025-08-26T19:58:36.0892444Z 2025-08-26T19:58:36.0892675Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-08-26T19:58:36.0892846Z --nnodes=2 --node-rank=1 --master-addr="192.168.1.1" 2025-08-26T19:58:36.0893053Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2025-08-26T19:58:36.0893222Z and all other arguments of your training script) 2025-08-26T19:58:36.0893303Z 2025-08-26T19:58:36.0893465Z 3. To look up what optional arguments this module offers: 2025-08-26T19:58:36.0893559Z 2025-08-26T19:58:36.0893639Z :: 2025-08-26T19:58:36.0893731Z 2025-08-26T19:58:36.0893870Z python -m torch.distributed.launch --help 2025-08-26T19:58:36.0893949Z 2025-08-26T19:58:36.0894072Z 2025-08-26T19:58:36.0894172Z **Important Notices:** 2025-08-26T19:58:36.0894253Z 2025-08-26T19:58:36.0894462Z 1. This utility and multi-process distributed (single-node or 2025-08-26T19:58:36.0894713Z multi-node) GPU training currently only achieves the best performance using 2025-08-26T19:58:36.0894981Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to 2025-08-26T19:58:36.0895080Z use for GPU training. 2025-08-26T19:58:36.0895163Z 2025-08-26T19:58:36.0895397Z 2. In your training program, you must parse the command-line argument: 2025-08-26T19:58:36.0895635Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module. 2025-08-26T19:58:36.0895880Z If your training program uses GPUs, you should ensure that your code only 2025-08-26T19:58:36.0896074Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by: 2025-08-26T19:58:36.0896152Z 2025-08-26T19:58:36.0896273Z Parsing the local_rank argument 2025-08-26T19:58:36.0896354Z 2025-08-26T19:58:36.0896448Z :: 2025-08-26T19:58:36.0896527Z 2025-08-26T19:58:36.0896626Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0896736Z >>> import argparse 2025-08-26T19:58:36.0896862Z >>> parser = argparse.ArgumentParser() 2025-08-26T19:58:36.0897072Z >>> parser.add_argument("--local-rank", "--local_rank", type=int) 2025-08-26T19:58:36.0897182Z >>> args = parser.parse_args() 2025-08-26T19:58:36.0897288Z 2025-08-26T19:58:36.0897427Z Set your device to local rank using either 2025-08-26T19:58:36.0897536Z 2025-08-26T19:58:36.0897621Z :: 2025-08-26T19:58:36.0897716Z 2025-08-26T19:58:36.0897920Z >>> torch.cuda.set_device(args.local_rank) # before your code runs 2025-08-26T19:58:36.0898015Z 2025-08-26T19:58:36.0898097Z or 2025-08-26T19:58:36.0898178Z 2025-08-26T19:58:36.0898275Z :: 2025-08-26T19:58:36.0898355Z 2025-08-26T19:58:36.0898504Z >>> with torch.cuda.device(args.local_rank): 2025-08-26T19:58:36.0898601Z >>> # your code to run 2025-08-26T19:58:36.0898687Z >>> ... 2025-08-26T19:58:36.0898781Z 2025-08-26T19:58:36.0898885Z .. versionchanged:: 2.0.0 2025-08-26T19:58:36.0898968Z 2025-08-26T19:58:36.0899229Z The launcher will passes the ``--local-rank=`` argument to your script. 2025-08-26T19:58:36.0899467Z From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the 2025-08-26T19:58:36.0899626Z previously used underscored ``--local_rank``. 2025-08-26T19:58:36.0899733Z 2025-08-26T19:58:36.0899973Z For backward compatibility, it may be necessary for users to handle both 2025-08-26T19:58:36.0900256Z cases in their argument parsing code. This means including both ``"--local-rank"`` 2025-08-26T19:58:36.0900471Z and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is 2025-08-26T19:58:36.0900738Z provided, the launcher will trigger an error: "error: unrecognized arguments: 2025-08-26T19:58:36.0900967Z --local-rank=". For training code that only supports PyTorch 2.0.0+, 2025-08-26T19:58:36.0901133Z including ``"--local-rank"`` should be sufficient. 2025-08-26T19:58:36.0901215Z 2025-08-26T19:58:36.0901447Z 3. In your training program, you are supposed to call the following function 2025-08-26T19:58:36.0901702Z at the beginning to start the distributed backend. It is strongly recommended 2025-08-26T19:58:36.0901924Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work, 2025-08-26T19:58:36.0902130Z but ``env://`` is the one that is officially supported by this module. 2025-08-26T19:58:36.0902210Z 2025-08-26T19:58:36.0902343Z :: 2025-08-26T19:58:36.0902437Z 2025-08-26T19:58:36.0902643Z >>> torch.distributed.init_process_group(backend='YOUR BACKEND', 2025-08-26T19:58:36.0902792Z >>> init_method='env://') 2025-08-26T19:58:36.0902915Z 2025-08-26T19:58:36.0903151Z 4. In your training program, you can either use regular distributed functions 2025-08-26T19:58:36.0903405Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your 2025-08-26T19:58:36.0903612Z training program uses GPUs for training and you would like to use 2025-08-26T19:58:36.0903816Z :func:`torch.nn.parallel.DistributedDataParallel` module, 2025-08-26T19:58:36.0903923Z here is how to configure it. 2025-08-26T19:58:36.0904007Z 2025-08-26T19:58:36.0904103Z :: 2025-08-26T19:58:36.0904219Z 2025-08-26T19:58:36.0904413Z >>> model = torch.nn.parallel.DistributedDataParallel(model, 2025-08-26T19:58:36.0904565Z >>> device_ids=[args.local_rank], 2025-08-26T19:58:36.0904702Z >>> output_device=args.local_rank) 2025-08-26T19:58:36.0904793Z 2025-08-26T19:58:36.0905036Z Please ensure that ``device_ids`` argument is set to be the only GPU device id 2025-08-26T19:58:36.0905268Z that your code will be operating on. This is generally the local rank of the 2025-08-26T19:58:36.0905519Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``, 2025-08-26T19:58:36.0905734Z and ``output_device`` needs to be ``args.local_rank`` in order to use this 2025-08-26T19:58:36.0905833Z utility 2025-08-26T19:58:36.0905915Z 2025-08-26T19:58:36.0906157Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable 2025-08-26T19:58:36.0906481Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with 2025-08-26T19:58:36.0906698Z ``--use-env=True``. You must adjust the subprocess example above to replace 2025-08-26T19:58:36.0906909Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher 2025-08-26T19:58:36.0907081Z will not pass ``--local-rank`` when you specify this flag. 2025-08-26T19:58:36.0907162Z 2025-08-26T19:58:36.0907269Z .. warning:: 2025-08-26T19:58:36.0907349Z 2025-08-26T19:58:36.0907563Z ``local_rank`` is NOT globally unique: it is only unique per process 2025-08-26T19:58:36.0907750Z on a machine. Thus, don't use it to decide if you should, e.g., 2025-08-26T19:58:36.0907872Z write to a networked filesystem. See 2025-08-26T19:58:36.0908108Z https://github.com/pytorch/pytorch/issues/12042 for an example of 2025-08-26T19:58:36.0908272Z how things can go wrong if you don't do this correctly. 2025-08-26T19:58:36.0908398Z 2025-08-26T19:58:36.0908480Z 2025-08-26T19:58:36.0908561Z 2025-08-26T19:58:36.0908657Z 2025-08-26T19:58:36.0908910Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0909008Z 2025-08-26T19:58:36.0909109Z warnings.warn(msg) 2025-08-26T19:58:36.0909193Z 2025-08-26T19:58:36.0909416Z --- Parse Warning: 55 / 146 --- 2025-08-26T19:58:36.0910488Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=init_from_local_shards in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361. 2025-08-26T19:58:36.0910764Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0910847Z 2025-08-26T19:58:36.0911089Z Creates an :class:`ShardedTensor` from local shards and the global metadata. 2025-08-26T19:58:36.0911258Z Needs to be called on all ranks in an SPMD fashion. 2025-08-26T19:58:36.0911343Z 2025-08-26T19:58:36.0911441Z Args: 2025-08-26T19:58:36.0911717Z local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list 2025-08-26T19:58:36.0911884Z of shards that represent the local shards on this rank. 2025-08-26T19:58:36.0912128Z global_size (int...): a list, tuple, or `torch.Size` of integers defining the 2025-08-26T19:58:36.0912280Z shape of the overall sharded tensor. 2025-08-26T19:58:36.0912375Z 2025-08-26T19:58:36.0912464Z Keyword args: 2025-08-26T19:58:36.0912730Z process_group (ProcessGroup, optional): The process group to work on. If None, 2025-08-26T19:58:36.0912871Z the default process group will be used. 2025-08-26T19:58:36.0913120Z init_rrefs (bool, optional): Whether or not to initialize 2025-08-26T19:58:36.0913357Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2025-08-26T19:58:36.0913558Z Need to initialize the RPC Framework if specified as ``True``. 2025-08-26T19:58:36.0913661Z Default: ``False``. 2025-08-26T19:58:36.0913760Z 2025-08-26T19:58:36.0913847Z Returns: 2025-08-26T19:58:36.0914018Z A :class:`ShardedTensor` object handle on this rank 2025-08-26T19:58:36.0914101Z 2025-08-26T19:58:36.0914184Z 2025-08-26T19:58:36.0914287Z Examples: 2025-08-26T19:58:36.0914544Z Suppose we want construct a sharded tensor on two ranks, global size = (10, 5), 2025-08-26T19:58:36.0914730Z each shard have a (5, 5) local tensor, we can do it like below: 2025-08-26T19:58:36.0914828Z 2025-08-26T19:58:36.0914916Z on rank 0: 2025-08-26T19:58:36.0915056Z >>> # xdoctest: +SKIP("not distributed") 2025-08-26T19:58:36.0915183Z >>> local_shard_metadata = ShardMetadata( 2025-08-26T19:58:36.0915291Z >>> shard_offsets=[0, 0], 2025-08-26T19:58:36.0915445Z >>> shard_lengths=[5, 5], 2025-08-26T19:58:36.0915586Z >>> placement="rank:0/cuda:0" 2025-08-26T19:58:36.0915683Z >>> ) 2025-08-26T19:58:36.0915914Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2025-08-26T19:58:36.0916110Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2025-08-26T19:58:36.0916209Z 2025-08-26T19:58:36.0916298Z on rank 1: 2025-08-26T19:58:36.0916442Z >>> # xdoctest: +SKIP("not distributed") 2025-08-26T19:58:36.0916566Z >>> local_shard_metadata = ShardMetadata( 2025-08-26T19:58:36.0916670Z >>> shard_offsets=[5, 0], 2025-08-26T19:58:36.0916790Z >>> shard_lengths=[5, 5], 2025-08-26T19:58:36.0916900Z >>> placement="rank:1/cuda:1" 2025-08-26T19:58:36.0916998Z >>> ) 2025-08-26T19:58:36.0917193Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2025-08-26T19:58:36.0917388Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2025-08-26T19:58:36.0917517Z 2025-08-26T19:58:36.0917774Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0917871Z 2025-08-26T19:58:36.0917970Z warnings.warn(msg) 2025-08-26T19:58:36.0918050Z 2025-08-26T19:58:36.0918263Z --- Parse Warning: 56 / 146 --- 2025-08-26T19:58:36.0919366Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835. 2025-08-26T19:58:36.0919650Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0919738Z 2025-08-26T19:58:36.0920000Z Initialize a ShardedTensor given only one local tensor, global sharded tensor 2025-08-26T19:58:36.0920129Z size and sharding spec on each rank. 2025-08-26T19:58:36.0920212Z 2025-08-26T19:58:36.0920312Z Args: 2025-08-26T19:58:36.0920542Z local_tensor (Tensor): Single tensor of local shard stored in each rank. 2025-08-26T19:58:36.0920804Z sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): 2025-08-26T19:58:36.0921043Z The specification describing how to shard the Tensor. 2025-08-26T19:58:36.0921213Z global_size (Sequence[int]): Size of the sharded tensor. 2025-08-26T19:58:36.0921510Z process_group (ProcessGroup, optional): The process group to aggregate on. 2025-08-26T19:58:36.0921607Z Default: None 2025-08-26T19:58:36.0921777Z init_rrefs (bool, optional): Whether or not to initialize 2025-08-26T19:58:36.0921994Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2025-08-26T19:58:36.0922186Z Need to initialize the RPC Framework if specified as ``True``. 2025-08-26T19:58:36.0922299Z Default: ``False``. 2025-08-26T19:58:36.0922381Z 2025-08-26T19:58:36.0922466Z Returns: 2025-08-26T19:58:36.0922728Z A :class:`ShardedTensor` sharded based on the given sharding_spec with local 2025-08-26T19:58:36.0922848Z tensor stored in the current rank. 2025-08-26T19:58:36.0922944Z 2025-08-26T19:58:36.0923029Z Examples: 2025-08-26T19:58:36.0923128Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0923281Z >>> # All tensors below are of torch.int64 type. 2025-08-26T19:58:36.0923401Z >>> # We have 2 process groups, 2 ranks. 2025-08-26T19:58:36.0923580Z >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank 2025-08-26T19:58:36.0923795Z >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2])) 2025-08-26T19:58:36.0923888Z >>> local_tensor 2025-08-26T19:58:36.0924004Z tensor([[1, 2, 3, 4]]) # Rank 0 2025-08-26T19:58:36.0924102Z tensor([[3, 4, 5, 6]]) # Rank 1 2025-08-26T19:58:36.0924199Z >>> sharding_dim = 0 2025-08-26T19:58:36.0924369Z >>> sharding_spec = ChunkShardingSpec( 2025-08-26T19:58:36.0924498Z dim=sharding_dim, 2025-08-26T19:58:36.0924613Z placements=[ 2025-08-26T19:58:36.0924710Z "rank:0/cuda:0", 2025-08-26T19:58:36.0924807Z "rank:1/cuda:1", 2025-08-26T19:58:36.0924909Z ], 2025-08-26T19:58:36.0924993Z ) 2025-08-26T19:58:36.0925144Z >>> st = ShardedTensor._init_from_local_tensor( 2025-08-26T19:58:36.0925274Z ... local_tensor, sharding_spec, [2, 4] 2025-08-26T19:58:36.0925357Z ... ) 2025-08-26T19:58:36.0925454Z >>> st 2025-08-26T19:58:36.0925545Z ShardedTensor( 2025-08-26T19:58:36.0925667Z ShardedTensorMetadata( 2025-08-26T19:58:36.0925763Z shards_metadata=[ 2025-08-26T19:58:36.0926034Z ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0), 2025-08-26T19:58:36.0926311Z ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1), 2025-08-26T19:58:36.0926425Z ], 2025-08-26T19:58:36.0926549Z size=torch.Size([2, 4]) 2025-08-26T19:58:36.0926632Z ) 2025-08-26T19:58:36.0926728Z >>> st.local_tensor() 2025-08-26T19:58:36.0926840Z tensor([1, 2, 3, 4]) # Rank 0 2025-08-26T19:58:36.0926972Z tensor([3, 4, 5, 6]) # Rank 1 2025-08-26T19:58:36.0927054Z 2025-08-26T19:58:36.0927342Z Warning: This API is experimental and subject to change. It lacks of a fully across 2025-08-26T19:58:36.0927583Z rank validations, and we only validate the local shard on the current rank. 2025-08-26T19:58:36.0927814Z We fully rely on the user to ensure local tensor is sharded based on the 2025-08-26T19:58:36.0927909Z sharding spec. 2025-08-26T19:58:36.0927990Z 2025-08-26T19:58:36.0928260Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0928345Z 2025-08-26T19:58:36.0928457Z warnings.warn(msg) 2025-08-26T19:58:36.0928542Z 2025-08-26T19:58:36.0928734Z --- Parse Warning: 57 / 146 --- 2025-08-26T19:58:36.0929801Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor.reshard in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076. 2025-08-26T19:58:36.0930091Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0930187Z 2025-08-26T19:58:36.0930443Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support 2025-08-26T19:58:36.0930540Z single local shard. 2025-08-26T19:58:36.0930639Z 2025-08-26T19:58:36.0930863Z If ``resharding_spec`` is same as the original one, this becomes a no-op. 2025-08-26T19:58:36.0931123Z If only ``resharding_spec`` shares the same sharding dim with the original one, 2025-08-26T19:58:36.0931234Z we swap local shards directly. 2025-08-26T19:58:36.0931498Z For more generic cases, we merge different shards across different ranks and split 2025-08-26T19:58:36.0931764Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API. 2025-08-26T19:58:36.0931843Z 2025-08-26T19:58:36.0931941Z Args: 2025-08-26T19:58:36.0932230Z resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The 2025-08-26T19:58:36.0932400Z specification describing how the tensor is sharded. 2025-08-26T19:58:36.0932494Z 2025-08-26T19:58:36.0932578Z Returns: 2025-08-26T19:58:36.0932796Z A :class:`ShardedTensor` object whose local shards are resharded. 2025-08-26T19:58:36.0932876Z 2025-08-26T19:58:36.0932962Z Examples: 2025-08-26T19:58:36.0933074Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0933195Z >>> # We have 2 process groups, 2 ranks. 2025-08-26T19:58:36.0933412Z >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank 2025-08-26T19:58:36.0933578Z >>> tensor = torch.stack([tensor, tensor]) 2025-08-26T19:58:36.0933662Z >>> tensor 2025-08-26T19:58:36.0933793Z tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0 2025-08-26T19:58:36.0933912Z tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1 2025-08-26T19:58:36.0934045Z tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2 2025-08-26T19:58:36.0934170Z tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3 2025-08-26T19:58:36.0934268Z >>> sharding_dim = 0 2025-08-26T19:58:36.0934392Z >>> spec = ChunkShardingSpec( 2025-08-26T19:58:36.0934490Z dim=sharding_dim, 2025-08-26T19:58:36.0934603Z placements=[ 2025-08-26T19:58:36.0934701Z "rank:0/cuda:0", 2025-08-26T19:58:36.0934795Z "rank:1/cuda:1", 2025-08-26T19:58:36.0934905Z "rank:2/cuda:2", 2025-08-26T19:58:36.0934997Z "rank:3/cuda:3", 2025-08-26T19:58:36.0935081Z ], 2025-08-26T19:58:36.0935229Z ) 2025-08-26T19:58:36.0935335Z >>> current_offsets = [0] * 2 2025-08-26T19:58:36.0935456Z >>> current_offsets[0] = rank * 2 2025-08-26T19:58:36.0935574Z >>> shard_metadata = ShardMetadata( 2025-08-26T19:58:36.0935725Z shard_offsets=copy.deepcopy(current_offsets), 2025-08-26T19:58:36.0935847Z shard_sizes=tensor.size(), 2025-08-26T19:58:36.0935975Z placement=spec.placements[rank], 2025-08-26T19:58:36.0936070Z ) 2025-08-26T19:58:36.0936166Z >>> local_shards = [ 2025-08-26T19:58:36.0936251Z Shard( 2025-08-26T19:58:36.0936361Z tensor=tensor, 2025-08-26T19:58:36.0936471Z metadata=shard_metadata, 2025-08-26T19:58:36.0936568Z ) 2025-08-26T19:58:36.0936649Z ] 2025-08-26T19:58:36.0936877Z >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size()) 2025-08-26T19:58:36.0936992Z >>> sharding_dim = 1 2025-08-26T19:58:36.0937117Z >>> resharding_spec = ChunkShardingSpec( 2025-08-26T19:58:36.0937230Z dim=sharding_dim, 2025-08-26T19:58:36.0937325Z placements=[ 2025-08-26T19:58:36.0937419Z "rank:0/cuda:0", 2025-08-26T19:58:36.0937529Z "rank:1/cuda:1", 2025-08-26T19:58:36.0937620Z "rank:2/cuda:2", 2025-08-26T19:58:36.0937750Z "rank:3/cuda:3", 2025-08-26T19:58:36.0937852Z ], 2025-08-26T19:58:36.0937935Z ) 2025-08-26T19:58:36.0938060Z >>> st.reshard(resharding_spec) 2025-08-26T19:58:36.0938179Z >>> tensor = st.local_shards()[0].tensor 2025-08-26T19:58:36.0938263Z >>> tensor 2025-08-26T19:58:36.0938420Z tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0 2025-08-26T19:58:36.0938557Z tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1 2025-08-26T19:58:36.0938710Z tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2 2025-08-26T19:58:36.0938850Z tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3 2025-08-26T19:58:36.0938930Z 2025-08-26T19:58:36.0939200Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0939279Z 2025-08-26T19:58:36.0939392Z warnings.warn(msg) 2025-08-26T19:58:36.0939472Z 2025-08-26T19:58:36.0939670Z --- Parse Warning: 58 / 146 --- 2025-08-26T19:58:36.0940681Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardingPlan in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12. 2025-08-26T19:58:36.0940944Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0941039Z 2025-08-26T19:58:36.0941260Z Representation of a sharding plan, describes how to shard a module 2025-08-26T19:58:36.0941587Z across hosts. `plan` is used to shard module parameters according to the spec provided, 2025-08-26T19:58:36.0941888Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output 2025-08-26T19:58:36.0942137Z layout of a module with a spec, and when to convert back to data parallel fashion. 2025-08-26T19:58:36.0942234Z 2025-08-26T19:58:36.0942318Z Args: 2025-08-26T19:58:36.0942589Z plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`, 2025-08-26T19:58:36.0942774Z :class:`torch.distributed._shard.sharder.Sharder`]): 2025-08-26T19:58:36.0943050Z a dict describes how to shard a module, there're currently two ways to shard a module: 2025-08-26T19:58:36.0943321Z 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of 2025-08-26T19:58:36.0943448Z a parameter to a `ShardingSpec`. 2025-08-26T19:58:36.0943734Z 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module 2025-08-26T19:58:36.0943861Z to a `Sharder` object. 2025-08-26T19:58:36.0944194Z output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional): 2025-08-26T19:58:36.0944472Z a dict specifies the layout of a module's output which produces a ShardedTensor, 2025-08-26T19:58:36.0944710Z keyed by the name of module to ShardingSpec("" in key means the root module). 2025-08-26T19:58:36.0944824Z Default: `None` 2025-08-26T19:58:36.0945081Z return_local_tensor (List[str], optional): a list of string, each element enables 2025-08-26T19:58:36.0945324Z a module's sharded output to be returned as a Tensor from its local shards to 2025-08-26T19:58:36.0945592Z ensure further processing in a data parallel fashion. ("" in list means the 2025-08-26T19:58:36.0945688Z root module). 2025-08-26T19:58:36.0945801Z Default: None 2025-08-26T19:58:36.0945893Z Example: 2025-08-26T19:58:36.0946179Z Suppose we want to shard a module with two linear layers and then run it with DDP, we also 2025-08-26T19:58:36.0946483Z want to convert the output of the second linear layer back to DDP, we can do it as follows: 2025-08-26T19:58:36.0946566Z 2025-08-26T19:58:36.0946756Z >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d) 2025-08-26T19:58:36.0946895Z >>> class MyModule(nn.Module): 2025-08-26T19:58:36.0947008Z >>> def __init__(self) -> None: 2025-08-26T19:58:36.0947128Z >>> super().__init__() 2025-08-26T19:58:36.0947233Z >>> self.fc1 = nn.Linear() 2025-08-26T19:58:36.0947351Z >>> self.gelu = nn.GELU() 2025-08-26T19:58:36.0947457Z >>> self.fc2 = nn.Linear() 2025-08-26T19:58:36.0947563Z >>> self.relu = nn.Linear() 2025-08-26T19:58:36.0947665Z >>> 2025-08-26T19:58:36.0947773Z >>> def forward(self, input): 2025-08-26T19:58:36.0947952Z >>> return self.relu(self.fc2(self.gelu(self.fc1(input)))) 2025-08-26T19:58:36.0948050Z 2025-08-26T19:58:36.0948133Z 2025-08-26T19:58:36.0948279Z >>> # xdoctest: +SKIP("Undefined spec1, spec2) 2025-08-26T19:58:36.0948389Z >>> sharding_plan = ShardingPlan( 2025-08-26T19:58:36.0948475Z >>> plan={ 2025-08-26T19:58:36.0948589Z >>> "fc1.weight": spec1, 2025-08-26T19:58:36.0948688Z >>> "fc2.weight": spec2 2025-08-26T19:58:36.0948787Z >>> }, 2025-08-26T19:58:36.0948882Z >>> output_plan={ 2025-08-26T19:58:36.0948981Z >>> "fc2": output_spec 2025-08-26T19:58:36.0949077Z >>> }, 2025-08-26T19:58:36.0949185Z >>> return_local_tensor=["fc2"] 2025-08-26T19:58:36.0949281Z >>> ) 2025-08-26T19:58:36.0949360Z 2025-08-26T19:58:36.0949614Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0949795Z 2025-08-26T19:58:36.0949892Z warnings.warn(msg) 2025-08-26T19:58:36.0949971Z 2025-08-26T19:58:36.0950175Z --- Parse Warning: 59 / 146 --- 2025-08-26T19:58:36.0951296Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=post_localSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72. 2025-08-26T19:58:36.0951572Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0951653Z 2025-08-26T19:58:36.0951775Z Run post-localSGD algorithm. 2025-08-26T19:58:36.0951855Z 2025-08-26T19:58:36.0952092Z This DDP communication hook is used for running post-localSGD algorithm, 2025-08-26T19:58:36.0952268Z by combining with a model averaging component (e.g., 2025-08-26T19:58:36.0952597Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`) 2025-08-26T19:58:36.0952759Z that runs after the optimizer step. 2025-08-26T19:58:36.0952841Z 2025-08-26T19:58:36.0952924Z Args: 2025-08-26T19:58:36.0953270Z state (PostLocalSGDState): State information to run post-localSGD. 2025-08-26T19:58:36.0953549Z Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD. 2025-08-26T19:58:36.0953992Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2025-08-26T19:58:36.0954242Z Note that since DDP comm hook only supports single process single device mode, 2025-08-26T19:58:36.0954396Z only exactly one tensor is stored in this bucket. 2025-08-26T19:58:36.0954494Z 2025-08-26T19:58:36.0954732Z Returns: 2025-08-26T19:58:36.0954997Z Future handler of the communication, which updates the gradients in place. 2025-08-26T19:58:36.0955081Z 2025-08-26T19:58:36.0955178Z Example:: 2025-08-26T19:58:36.0955298Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0955554Z >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup, 2025-08-26T19:58:36.0955675Z start_localSGD_iter=10) 2025-08-26T19:58:36.0955864Z >>> ddp_model.register_comm_hook(state, post_localSGD_hook) 2025-08-26T19:58:36.0956291Z >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``. 2025-08-26T19:58:36.0956657Z >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module. 2025-08-26T19:58:36.0956737Z 2025-08-26T19:58:36.0957004Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0957083Z 2025-08-26T19:58:36.0968445Z warnings.warn(msg) 2025-08-26T19:58:36.0968595Z 2025-08-26T19:58:36.0968870Z --- Parse Warning: 60 / 146 --- 2025-08-26T19:58:36.0970007Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=powerSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342. 2025-08-26T19:58:36.0970277Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0970359Z 2025-08-26T19:58:36.0970493Z Implement PowerSGD algorithm. 2025-08-26T19:58:36.0970575Z 2025-08-26T19:58:36.0970818Z This DDP communication hook implements PowerSGD gradient compression 2025-08-26T19:58:36.0971061Z algorithm described in the `paper `_. 2025-08-26T19:58:36.0971304Z Once gradient tensors are aggregated across all workers, this hook applies 2025-08-26T19:58:36.0971422Z compression as follows: 2025-08-26T19:58:36.0971502Z 2025-08-26T19:58:36.0971961Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups: 2025-08-26T19:58:36.0972223Z 2025-08-26T19:58:36.0972648Z 1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth. 2025-08-26T19:58:36.0972743Z 2025-08-26T19:58:36.0973156Z 1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases). 2025-08-26T19:58:36.0973253Z 2025-08-26T19:58:36.0973364Z 2. Handles uncompressed tensors: 2025-08-26T19:58:36.0973443Z 2025-08-26T19:58:36.0973976Z 2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression; 2025-08-26T19:58:36.0974055Z 2025-08-26T19:58:36.0974414Z 2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor. 2025-08-26T19:58:36.0974494Z 2025-08-26T19:58:36.0974772Z 3. Handles the tensors that should be compressed by PowerSGD compression: 2025-08-26T19:58:36.0974870Z 2025-08-26T19:58:36.0975112Z 3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M, 2025-08-26T19:58:36.0975435Z such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized; 2025-08-26T19:58:36.0975517Z 2025-08-26T19:58:36.0975662Z 3.2. Computes each P in Ps, which is equal to MQ; 2025-08-26T19:58:36.0975758Z 2025-08-26T19:58:36.0975866Z 3.3. Allreduces Ps as a batch; 2025-08-26T19:58:36.0975960Z 2025-08-26T19:58:36.0976075Z 3.4. Orthogonalizes each P in Ps; 2025-08-26T19:58:36.0976155Z 2025-08-26T19:58:36.0976364Z 3.5. Computes each Q in Qs, which is approximately equal to M^TP; 2025-08-26T19:58:36.0976444Z 2025-08-26T19:58:36.0976566Z 3.6. Allreduces Qs as a batch; 2025-08-26T19:58:36.0976648Z 2025-08-26T19:58:36.0976944Z 3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T. 2025-08-26T19:58:36.0977044Z 2025-08-26T19:58:36.0977458Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations. 2025-08-26T19:58:36.0977756Z This not only gives the user more control over the tradeoff between speedup and accuracy, 2025-08-26T19:58:36.0978228Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers. 2025-08-26T19:58:36.0978309Z 2025-08-26T19:58:36.0978408Z Args: 2025-08-26T19:58:36.0978844Z state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc. 2025-08-26T19:58:36.0979216Z To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter`` 2025-08-26T19:58:36.0979327Z and ``min_compression_rate``. 2025-08-26T19:58:36.0979751Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2025-08-26T19:58:36.0980016Z Note that since DDP comm hook only supports single process single device mode, 2025-08-26T19:58:36.0980169Z only exactly one tensor is stored in this bucket. 2025-08-26T19:58:36.0980265Z 2025-08-26T19:58:36.0980351Z Returns: 2025-08-26T19:58:36.0980599Z Future handler of the communication, which updates the gradients in place. 2025-08-26T19:58:36.0980698Z 2025-08-26T19:58:36.0980798Z Example:: 2025-08-26T19:58:36.0980912Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.0981190Z >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1, 2025-08-26T19:58:36.0981349Z start_powerSGD_iter=10, min_compression_rate=0.5) 2025-08-26T19:58:36.0981522Z >>> ddp_model.register_comm_hook(state, powerSGD_hook) 2025-08-26T19:58:36.0981631Z 2025-08-26T19:58:36.0981901Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0982005Z 2025-08-26T19:58:36.0982103Z warnings.warn(msg) 2025-08-26T19:58:36.0982257Z 2025-08-26T19:58:36.0982467Z --- Parse Warning: 61 / 146 --- 2025-08-26T19:58:36.0983609Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PeriodicModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38. 2025-08-26T19:58:36.0983873Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0983952Z 2025-08-26T19:58:36.0984155Z Averages parameters periodically after the warm-up stage. 2025-08-26T19:58:36.0984236Z 2025-08-26T19:58:36.0984508Z This can be used for running `post-local SGD `_, 2025-08-26T19:58:36.0984706Z by running :class:`~torch.nn.DistributedDataParallel` (DDP) 2025-08-26T19:58:36.0984994Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`. 2025-08-26T19:58:36.0985086Z 2025-08-26T19:58:36.0985169Z Args: 2025-08-26T19:58:36.0985349Z period (int): The number of steps per model averaging. 2025-08-26T19:58:36.0985617Z Usually the period should be greater than ``1`` to reduce the communication cost. 2025-08-26T19:58:36.0985748Z Otherwise, only DDP needs to be used. 2025-08-26T19:58:36.0985967Z warmup_steps (int): The number of warm-up steps. During this stage, 2025-08-26T19:58:36.0986087Z model averaging is skipped. 2025-08-26T19:58:36.0986287Z process_group: The process group to be used for all-reduce. 2025-08-26T19:58:36.0986428Z If ``None``, the default process group, which 2025-08-26T19:58:36.0986617Z is created by :func:`torch.distributed.init_process_group`, 2025-08-26T19:58:36.0986755Z will be used. (default: ``None``) 2025-08-26T19:58:36.0986838Z 2025-08-26T19:58:36.0986945Z Example:: 2025-08-26T19:58:36.0987025Z 2025-08-26T19:58:36.0987153Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:36.0987267Z >>> import torch 2025-08-26T19:58:36.0987387Z >>> import torch.distributed as dist 2025-08-26T19:58:36.0987746Z >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD 2025-08-26T19:58:36.0988015Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2025-08-26T19:58:36.0988118Z >>> import torch.nn as nn 2025-08-26T19:58:36.0988216Z >>> 2025-08-26T19:58:36.0988394Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2025-08-26T19:58:36.0988515Z >>> torch.cuda.set_device(rank) 2025-08-26T19:58:36.0988644Z >>> module = nn.Linear(1, 1, bias=False).cuda() 2025-08-26T19:58:36.0988800Z >>> model = nn.parallel.DistributedDataParallel( 2025-08-26T19:58:36.0988960Z >>> module, device_ids=[rank], output_device=rank 2025-08-26T19:58:36.0989043Z >>> ) 2025-08-26T19:58:36.0989204Z >>> # Register a post-localSGD communication hook. 2025-08-26T19:58:36.0989499Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2025-08-26T19:58:36.0989661Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-08-26T19:58:36.0989761Z >>> 2025-08-26T19:58:36.0990029Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2025-08-26T19:58:36.0990201Z >>> # After 100 steps, run model averaging every 4 steps. 2025-08-26T19:58:36.0990519Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-08-26T19:58:36.0990769Z >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2025-08-26T19:58:36.0990919Z >>> for step in range(0, 200): 2025-08-26T19:58:36.0991051Z >>> optimizer.zero_grad() 2025-08-26T19:58:36.0991181Z >>> loss = loss_fn(output, labels) 2025-08-26T19:58:36.0991281Z >>> loss.backward() 2025-08-26T19:58:36.0991383Z >>> optimizer.step() 2025-08-26T19:58:36.0991590Z >>> # Will average model parameters globally every 4 steps. Thus, 2025-08-26T19:58:36.0991795Z >>> # inter-node communication only occurs every 4 iterations after 2025-08-26T19:58:36.0991938Z >>> # the initial ``warmup_steps`` period. 2025-08-26T19:58:36.0992098Z >>> averager.average_parameters(model.parameters()) 2025-08-26T19:58:36.0992179Z 2025-08-26T19:58:36.0992450Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.0992531Z 2025-08-26T19:58:36.0992644Z warnings.warn(msg) 2025-08-26T19:58:36.0992725Z 2025-08-26T19:58:36.0992929Z --- Parse Warning: 62 / 146 --- 2025-08-26T19:58:36.0994315Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=HierarchicalModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19. 2025-08-26T19:58:36.0994582Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.0994681Z 2025-08-26T19:58:36.0995020Z Runs hierarchical model averaging (`hierarchical SGD `_). 2025-08-26T19:58:36.0995102Z 2025-08-26T19:58:36.0995428Z Process groups of different sizes are organized in a hierarchy, and they average parameters 2025-08-26T19:58:36.0995635Z by using different periods concurrently after the warm-up stage. 2025-08-26T19:58:36.0996058Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager` 2025-08-26T19:58:36.0996401Z that supports `post-local SGD `_, which essentially only supports 2025-08-26T19:58:36.0996709Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine 2025-08-26T19:58:36.0997082Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`. 2025-08-26T19:58:36.0997414Z Similarly, the process groups within this class do not have such an intra-machine process 2025-08-26T19:58:36.0997705Z subgroup, which should be embedded by the post-local SGD communication hook instead. 2025-08-26T19:58:36.0997787Z 2025-08-26T19:58:36.0997885Z Args: 2025-08-26T19:58:36.0998148Z period_group_size_dict: An ordered dict mapping keys of model averaging period to 2025-08-26T19:58:36.0998349Z process group size, used for initializing process groups of 2025-08-26T19:58:36.0998593Z different sizes in a hierarchy to average parameters concurrently. 2025-08-26T19:58:36.0998808Z Particularly, at each iteration, there will be at most a single 2025-08-26T19:58:36.0999055Z process group that runs averaging -- the period of such group should 2025-08-26T19:58:36.0999267Z have the largest period which the current step can be divided by. 2025-08-26T19:58:36.0999435Z For example, if the dict has three keys: 2, 4, and 8, 2025-08-26T19:58:36.0999655Z then this means totally three process groups will be created to 2025-08-26T19:58:36.0999866Z average parameters every 2, 4, and 8 iterations, respectively. 2025-08-26T19:58:36.1000068Z At the 4th iteration, only the second process group will run 2025-08-26T19:58:36.1000243Z averaging, because the first process group should be a 2025-08-26T19:58:36.1000534Z subset of the second process group, and no need to execute the first 2025-08-26T19:58:36.1000657Z process group redundantly. 2025-08-26T19:58:36.1000855Z On the other hand, the third process group can only be triggered 2025-08-26T19:58:36.1001095Z every 8 iterations, so it will not be triggered at the 4th iteration. 2025-08-26T19:58:36.1001396Z warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped. 2025-08-26T19:58:36.1001856Z process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging. 2025-08-26T19:58:36.1002030Z If ``None``, the default process group, which is created 2025-08-26T19:58:36.1002237Z by :func:`torch.distributed.init_process_group`, will be used. 2025-08-26T19:58:36.1002401Z (default: ``None``) 2025-08-26T19:58:36.1002516Z 2025-08-26T19:58:36.1002626Z Example:: 2025-08-26T19:58:36.1002746Z >>> # xdoctest: +SKIP('undefined rank') 2025-08-26T19:58:36.1002865Z >>> from collections import OrderedDict 2025-08-26T19:58:36.1002971Z >>> import torch 2025-08-26T19:58:36.1003091Z >>> import torch.distributed as dist 2025-08-26T19:58:36.1003380Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2025-08-26T19:58:36.1003484Z >>> PostLocalSGDState, 2025-08-26T19:58:36.1003584Z >>> post_localSGD_hook, 2025-08-26T19:58:36.1003678Z >>> ) 2025-08-26T19:58:36.1004054Z >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD 2025-08-26T19:58:36.1004172Z >>> import torch.nn as nn 2025-08-26T19:58:36.1004253Z >>> 2025-08-26T19:58:36.1004434Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2025-08-26T19:58:36.1004558Z >>> torch.cuda.set_device(rank) 2025-08-26T19:58:36.1004693Z >>> module = nn.Linear(1, 1, bias=False).to(rank) 2025-08-26T19:58:36.1004860Z >>> model = nn.parallel.DistributedDataParallel( 2025-08-26T19:58:36.1004998Z >>> module, device_ids=[rank], output_device=rank 2025-08-26T19:58:36.1005080Z >>> ) 2025-08-26T19:58:36.1005267Z >>> # Register a post-localSGD communication hook. 2025-08-26T19:58:36.1005545Z >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4. 2025-08-26T19:58:36.1005678Z >>> subgroup, _ = dist.new_subgroups() 2025-08-26T19:58:36.1005989Z >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100) 2025-08-26T19:58:36.1006150Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-08-26T19:58:36.1006246Z >>> 2025-08-26T19:58:36.1006533Z >>> # Average parameters among each group of 8 processes every 4 iterations, and among all 2025-08-26T19:58:36.1006668Z >>> # the 16 processes every 16 iterations. 2025-08-26T19:58:36.1006854Z >>> averager = hierarchicalSGD.HierarchicalModelAverager( 2025-08-26T19:58:36.1007087Z >>> period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100) 2025-08-26T19:58:36.1007417Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-08-26T19:58:36.1007682Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2025-08-26T19:58:36.1007849Z >>> # After 100 steps, run model averaging at two levels. 2025-08-26T19:58:36.1007956Z >>> for step in range(0, 200): 2025-08-26T19:58:36.1008061Z >>> optimizer.zero_grad() 2025-08-26T19:58:36.1008187Z >>> loss = loss_fn(output, labels) 2025-08-26T19:58:36.1008315Z >>> loss.backward() 2025-08-26T19:58:36.1008456Z >>> optimizer.step() 2025-08-26T19:58:36.1008612Z >>> # Average parameters after ``optimizer.step()``. 2025-08-26T19:58:36.1008899Z >>> # Thus, the inter-node communication only occurs periodically after ``warmup_steps``. 2025-08-26T19:58:36.1009073Z >>> averager.average_parameters(model.parameters()) 2025-08-26T19:58:36.1009154Z 2025-08-26T19:58:36.1009264Z .. warning :: 2025-08-26T19:58:36.1009523Z The last group size in the dict must be the size of the provided ``process_group``, 2025-08-26T19:58:36.1009757Z which indicates model averaging at the highest level of the hierarchy. 2025-08-26T19:58:36.1010077Z If ``process_group`` is not provided, then the last group size should be equal to the world size. 2025-08-26T19:58:36.1010160Z 2025-08-26T19:58:36.1010268Z .. warning :: 2025-08-26T19:58:36.1010503Z `HierarchicalModelAverager` is experimental and subject to change. 2025-08-26T19:58:36.1010616Z 2025-08-26T19:58:36.1010888Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1010968Z 2025-08-26T19:58:36.1011084Z warnings.warn(msg) 2025-08-26T19:58:36.1011163Z 2025-08-26T19:58:36.1011374Z --- Parse Warning: 63 / 146 --- 2025-08-26T19:58:36.1012474Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=40. 2025-08-26T19:58:36.1012739Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1012835Z 2025-08-26T19:58:36.1013129Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint 2025-08-26T19:58:36.1013392Z on the coordinator rank, and then broadcast and shard each tensor to all ranks. 2025-08-26T19:58:36.1013479Z 2025-08-26T19:58:36.1013645Z . N.B. Intended to be used with DynamicMetaLoadPlanner 2025-08-26T19:58:36.1013745Z 2025-08-26T19:58:36.1013836Z .. warning:: 2025-08-26T19:58:36.1014010Z Current implementation only supports loading Tensors. 2025-08-26T19:58:36.1014105Z 2025-08-26T19:58:36.1014219Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:36.1014331Z >>> sd = {"mode": model} 2025-08-26T19:58:36.1014447Z >>> dcp.load( 2025-08-26T19:58:36.1014533Z >>> sd, 2025-08-26T19:58:36.1014701Z >>> storage_reader=BroadcastingTorchSaveReader(), 2025-08-26T19:58:36.1014827Z >>> planner=DynamicMetaLoadPlanner(), 2025-08-26T19:58:36.1014958Z >>> checkpoint_id="path_to_model.pt" 2025-08-26T19:58:36.1015041Z >>> ) 2025-08-26T19:58:36.1015122Z 2025-08-26T19:58:36.1015390Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1015471Z 2025-08-26T19:58:36.1015570Z warnings.warn(msg) 2025-08-26T19:58:36.1015667Z 2025-08-26T19:58:36.1015853Z --- Parse Warning: 64 / 146 --- 2025-08-26T19:58:36.1016919Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=151. 2025-08-26T19:58:36.1017183Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1017277Z 2025-08-26T19:58:36.1017648Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict, 2025-08-26T19:58:36.1017973Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a 2025-08-26T19:58:36.1018103Z metadata file, like Torch Save files. 2025-08-26T19:58:36.1018183Z 2025-08-26T19:58:36.1018405Z . N.B. Intended to be used with BroadcastingTorchSaveReader 2025-08-26T19:58:36.1018526Z 2025-08-26T19:58:36.1018614Z .. warning:: 2025-08-26T19:58:36.1018801Z Current implementation only supports loading Tensors. 2025-08-26T19:58:36.1018881Z 2025-08-26T19:58:36.1018994Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:36.1019103Z >>> sd = {"mode": model} 2025-08-26T19:58:36.1019188Z >>> dcp.load( 2025-08-26T19:58:36.1019284Z >>> sd, 2025-08-26T19:58:36.1019438Z >>> storage_reader=BroadcastingTorchSaveReader(), 2025-08-26T19:58:36.1019563Z >>> planner=DynamicMetaLoadPlanner(), 2025-08-26T19:58:36.1019692Z >>> checkpoint_id="path_to_model.pt" 2025-08-26T19:58:36.1019774Z >>> ) 2025-08-26T19:58:36.1019868Z 2025-08-26T19:58:36.1020120Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1020199Z 2025-08-26T19:58:36.1020308Z warnings.warn(msg) 2025-08-26T19:58:36.1020388Z 2025-08-26T19:58:36.1020614Z --- Parse Warning: 65 / 146 --- 2025-08-26T19:58:36.1021680Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/optimizer.py line=221. 2025-08-26T19:58:36.1021943Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1022039Z 2025-08-26T19:58:36.1022248Z Load a state_dict in conjunction with FSDP sharded optimizer state. 2025-08-26T19:58:36.1022344Z 2025-08-26T19:58:36.1022517Z This is the current recommended way to checkpoint FSDP. 2025-08-26T19:58:36.1022618Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1022791Z >>> import torch.distributed.checkpoint as dist_cp 2025-08-26T19:58:36.1022876Z >>> # Save 2025-08-26T19:58:36.1022977Z >>> model: torch.nn.Model 2025-08-26T19:58:36.1023115Z >>> optim_params = model.parameters() 2025-08-26T19:58:36.1023264Z >>> optim = torch.optim.SGD(optim_params, lr=0.01) 2025-08-26T19:58:36.1023367Z >>> # Save 2025-08-26T19:58:36.1023582Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT): 2025-08-26T19:58:36.1023680Z >>> state_dict = { 2025-08-26T19:58:36.1023853Z >>> "optimizer": FSDP.optim_state_dict(model, optim), 2025-08-26T19:58:36.1023964Z >>> "model": model.state_dict() 2025-08-26T19:58:36.1024076Z >>> } 2025-08-26T19:58:36.1024197Z >>> dist_cp.save_state_dict( 2025-08-26T19:58:36.1024299Z >>> state_dict=optim_state, 2025-08-26T19:58:36.1024495Z >>> storage_writer=dist_cp.FileSystemWriter("checkpoint"), 2025-08-26T19:58:36.1024631Z >>> planner=dist_cp.DefaultSavePlanner(), 2025-08-26T19:58:36.1024715Z >>> ) 2025-08-26T19:58:36.1024811Z >>> 2025-08-26T19:58:36.1024897Z >>> # Load 2025-08-26T19:58:36.1025138Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT): 2025-08-26T19:58:36.1025273Z >>> model_state_dict = model_tp.state_dict() 2025-08-26T19:58:36.1025372Z >>> checkpoint = { 2025-08-26T19:58:36.1025496Z >>> "model": model_state_dict 2025-08-26T19:58:36.1025578Z >>> } 2025-08-26T19:58:36.1025697Z >>> dist_cp.load_state_dict( 2025-08-26T19:58:36.1025807Z >>> state_dict=checkpoint, 2025-08-26T19:58:36.1025999Z >>> storage_reader=dist_cp.FileSystemReader(checkpoint_file), 2025-08-26T19:58:36.1026143Z >>> planner=dist_cp.DefaultLoadPlanner(), 2025-08-26T19:58:36.1026228Z >>> ) 2025-08-26T19:58:36.1026392Z >>> model.load_state_dict(checkpoint["model_state"]) 2025-08-26T19:58:36.1026473Z >>> 2025-08-26T19:58:36.1026644Z >>> optim_state = dist_cp.load_sharded_optimizer_state_dict( 2025-08-26T19:58:36.1026752Z >>> model_state_dict, 2025-08-26T19:58:36.1026861Z >>> optimizer_key="optimizer", 2025-08-26T19:58:36.1027080Z >>> storage_reader=dist_cp.FileSystemReader("checkpoint"), 2025-08-26T19:58:36.1027189Z >>> ) 2025-08-26T19:58:36.1027268Z >>> 2025-08-26T19:58:36.1027426Z >>> flattened_osd = FSDP.optim_state_dict_to_load( 2025-08-26T19:58:36.1027552Z >>> model, optim, optim_state["optimizer"] 2025-08-26T19:58:36.1027631Z >>> ) 2025-08-26T19:58:36.1027725Z >>> 2025-08-26T19:58:36.1027849Z >>> optim.load_state_dict(flattened_osd) 2025-08-26T19:58:36.1027940Z 2025-08-26T19:58:36.1028194Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1028275Z 2025-08-26T19:58:36.1028386Z warnings.warn(msg) 2025-08-26T19:58:36.1028470Z 2025-08-26T19:58:36.1028669Z --- Parse Warning: 66 / 146 --- 2025-08-26T19:58:36.1029665Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-08-26T19:58:36.1029934Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1030027Z 2025-08-26T19:58:36.1030315Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-08-26T19:58:36.1030413Z 2025-08-26T19:58:36.1030707Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-08-26T19:58:36.1030788Z 2025-08-26T19:58:36.1031081Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-26T19:58:36.1031198Z will be visible to the whole process. 2025-08-26T19:58:36.1031292Z 2025-08-26T19:58:36.1031569Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-08-26T19:58:36.1031650Z 2025-08-26T19:58:36.1031786Z 1) set_up_planner - called on all ranks. 2025-08-26T19:58:36.1031913Z Signals the start of a checkpoint save. 2025-08-26T19:58:36.1032010Z 2025-08-26T19:58:36.1032134Z 2) create_local_plan - called on all ranks. 2025-08-26T19:58:36.1032421Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-08-26T19:58:36.1032518Z 2025-08-26T19:58:36.1032701Z 3) create_global_plan - called on the coordinator rank only. 2025-08-26T19:58:36.1032937Z Takes the SavePlan from all ranks and make any global decision. 2025-08-26T19:58:36.1033017Z 2025-08-26T19:58:36.1033210Z 4) finish_plan - called on all ranks. 2025-08-26T19:58:36.1033446Z This gives each rank a chance to adjust to global planning decisions. 2025-08-26T19:58:36.1033526Z 2025-08-26T19:58:36.1033698Z 5) resolve_data - called multiple times on each rank 2025-08-26T19:58:36.1033904Z Lookups a value on the `state_dict` for the storage layer to write. 2025-08-26T19:58:36.1033986Z 2025-08-26T19:58:36.1034315Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-08-26T19:58:36.1034504Z most changes can be expressed by changes in a single method. 2025-08-26T19:58:36.1034604Z 2025-08-26T19:58:36.1034728Z There are 3 usual patterns of extension: 2025-08-26T19:58:36.1034810Z 2025-08-26T19:58:36.1035079Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-08-26T19:58:36.1035308Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-08-26T19:58:36.1035389Z 2025-08-26T19:58:36.1035520Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:36.1035653Z >>> class RenamePlanner(DefaultSavePlanner): 2025-08-26T19:58:36.1035769Z >>> def set_up_planner( 2025-08-26T19:58:36.1035855Z >>> self, 2025-08-26T19:58:36.1035966Z >>> state_dict: STATE_DICT_TYPE, 2025-08-26T19:58:36.1036110Z >>> storage_meta: Optional[StorageMeta], 2025-08-26T19:58:36.1036253Z >>> is_coordinator: bool, 2025-08-26T19:58:36.1036386Z >>> ) -> None: 2025-08-26T19:58:36.1036491Z >>> # prefix all keys with `foo_`` 2025-08-26T19:58:36.1036786Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-08-26T19:58:36.1036881Z 2025-08-26T19:58:36.1037214Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-08-26T19:58:36.1037312Z 2025-08-26T19:58:36.1037428Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:36.1037555Z >>> class FP16Planner(DefaultSavePlanner): 2025-08-26T19:58:36.1037679Z >>> def create_local_plan(self): 2025-08-26T19:58:36.1037799Z >>> plan = super().create_local_plan() 2025-08-26T19:58:36.1037910Z >>> for p in plan: 2025-08-26T19:58:36.1038021Z >>> if p.tensor_data is not None: 2025-08-26T19:58:36.1038180Z >>> p.tensor_data.properties.dtype = torch.float16 2025-08-26T19:58:36.1038317Z >>> return plan 2025-08-26T19:58:36.1038400Z >>> 2025-08-26T19:58:36.1038530Z >>> def resolve_data(self, write_item): 2025-08-26T19:58:36.1038654Z >>> item = super().resolve_data(write_item) 2025-08-26T19:58:36.1038925Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-08-26T19:58:36.1039022Z 2025-08-26T19:58:36.1039367Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-08-26T19:58:36.1039461Z 2025-08-26T19:58:36.1039573Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:36.1039686Z >>> from itertools import zip_longest 2025-08-26T19:58:36.1039810Z >>> from dataclasses import replace 2025-08-26T19:58:36.1039979Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-08-26T19:58:36.1040267Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-08-26T19:58:36.1040401Z >>> # This sample doesn't handle ShardedTensors 2025-08-26T19:58:36.1040535Z >>> def create_global_plan(self, all_plans): 2025-08-26T19:58:36.1040700Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-08-26T19:58:36.1040801Z >>> items_per_rank = [ 2025-08-26T19:58:36.1040950Z >>> [item for item in items if item is not None] 2025-08-26T19:58:36.1041133Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-08-26T19:58:36.1041218Z >>> ] 2025-08-26T19:58:36.1041327Z >>> all_plans = [ 2025-08-26T19:58:36.1041438Z >>> replace(plan, items=items) 2025-08-26T19:58:36.1041628Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-08-26T19:58:36.1041724Z >>> ] 2025-08-26T19:58:36.1041865Z >>> return super().create_global_plan(all_plans) 2025-08-26T19:58:36.1041960Z 2025-08-26T19:58:36.1042230Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-08-26T19:58:36.1042505Z accomplished by having each rank contribute their data items in the local plan and 2025-08-26T19:58:36.1042630Z the global planner aggregate them: 2025-08-26T19:58:36.1042711Z 2025-08-26T19:58:36.1042838Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:36.1042995Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-08-26T19:58:36.1043128Z >>> def create_local_plan(self) -> SavePlan: 2025-08-26T19:58:36.1043263Z >>> plan = super().create_local_plan() 2025-08-26T19:58:36.1043425Z >>> return replace(plan, planner_data="per-rank-data") 2025-08-26T19:58:36.1043525Z >>> 2025-08-26T19:58:36.1043824Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-08-26T19:58:36.1044021Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-08-26T19:58:36.1044223Z >>> merged_data = [p.planner_data for p in global_plan] 2025-08-26T19:58:36.1044420Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-08-26T19:58:36.1044550Z >>> return global_plan, metadata 2025-08-26T19:58:36.1044632Z 2025-08-26T19:58:36.1044884Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1044985Z 2025-08-26T19:58:36.1045084Z warnings.warn(msg) 2025-08-26T19:58:36.1045181Z 2025-08-26T19:58:36.1045389Z --- Parse Warning: 67 / 146 --- 2025-08-26T19:58:36.1046356Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-08-26T19:58:36.1046638Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1046721Z 2025-08-26T19:58:36.1047055Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-08-26T19:58:36.1047139Z 2025-08-26T19:58:36.1047426Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-08-26T19:58:36.1047521Z 2025-08-26T19:58:36.1047799Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-26T19:58:36.1047928Z will be visible to the whole process. 2025-08-26T19:58:36.1048010Z 2025-08-26T19:58:36.1048288Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-08-26T19:58:36.1048380Z 2025-08-26T19:58:36.1048500Z 1) set_up_planner - called on all ranks. 2025-08-26T19:58:36.1048647Z Signals the start of loading a checkpoint. 2025-08-26T19:58:36.1048756Z 2025-08-26T19:58:36.1048881Z 2) create_local_plan - called on all ranks. 2025-08-26T19:58:36.1049182Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-08-26T19:58:36.1049268Z 2025-08-26T19:58:36.1049465Z 3) create_global_plan - called on the coordinator rank only. 2025-08-26T19:58:36.1049663Z Takes the LoadPlan from all ranks and make any global decision. 2025-08-26T19:58:36.1049743Z 2025-08-26T19:58:36.1049905Z 4) load_bytes - called multiple times on each rank 2025-08-26T19:58:36.1050073Z This is called once per non-tensor value in state_dict. 2025-08-26T19:58:36.1050195Z 2025-08-26T19:58:36.1050420Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-08-26T19:58:36.1050601Z They are called in pair for each Tensor value in state_dict. 2025-08-26T19:58:36.1050692Z 2025-08-26T19:58:36.1050994Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-08-26T19:58:36.1051193Z most changes can be expressed by changes in a single method. 2025-08-26T19:58:36.1051272Z 2025-08-26T19:58:36.1051405Z There are two usual patterns of extension: 2025-08-26T19:58:36.1051505Z 2025-08-26T19:58:36.1051758Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-08-26T19:58:36.1052031Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-08-26T19:58:36.1052259Z to keep a reference to the original state_dict as load happens in place so 2025-08-26T19:58:36.1052382Z we need to be able to perform it in place 2025-08-26T19:58:36.1052481Z 2025-08-26T19:58:36.1052598Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:36.1052749Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-08-26T19:58:36.1052848Z >>> def set_up_planner( 2025-08-26T19:58:36.1052934Z >>> self, 2025-08-26T19:58:36.1053060Z >>> state_dict: STATE_DICT_TYPE, 2025-08-26T19:58:36.1053159Z >>> metadata: Metadata, 2025-08-26T19:58:36.1053269Z >>> is_coordinator: bool, 2025-08-26T19:58:36.1053418Z >>> ) -> None: 2025-08-26T19:58:36.1053573Z >>> self.original_state_dict = state_dict 2025-08-26T19:58:36.1053759Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-08-26T19:58:36.1053844Z >>> 2025-08-26T19:58:36.1053962Z >>> if self.flatten_sharded_tensors: 2025-08-26T19:58:36.1054128Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-08-26T19:58:36.1054212Z >>> 2025-08-26T19:58:36.1054344Z >>> if self.flatten_state_dict: 2025-08-26T19:58:36.1054528Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-08-26T19:58:36.1055005Z >>> 2025-08-26T19:58:36.1055135Z >>> self.state_dict = state_dict 2025-08-26T19:58:36.1055239Z >>> self.metadata = metadata 2025-08-26T19:58:36.1055382Z >>> self.is_coordinator = is_coordinator 2025-08-26T19:58:36.1055465Z >>> 2025-08-26T19:58:36.1055585Z >>> def load_bytes(self, read_item, value): 2025-08-26T19:58:36.1055707Z >>> # Remove the "foo_" prefix 2025-08-26T19:58:36.1056102Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-08-26T19:58:36.1056201Z 2025-08-26T19:58:36.1056282Z 2025-08-26T19:58:36.1056543Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-08-26T19:58:36.1056640Z 2025-08-26T19:58:36.1056753Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:36.1056928Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-08-26T19:58:36.1057046Z >>> def resolve_tensor(self, read_item): 2025-08-26T19:58:36.1057177Z >>> tensor = super().resolve_tensor(read_item) 2025-08-26T19:58:36.1057339Z >>> return torch.empty_like(tensor, device="cpu") 2025-08-26T19:58:36.1057422Z >>> 2025-08-26T19:58:36.1057553Z >>> def commit_tensor(self, read_item, tensor): 2025-08-26T19:58:36.1057725Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-08-26T19:58:36.1057809Z 2025-08-26T19:58:36.1058079Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1058158Z 2025-08-26T19:58:36.1058259Z warnings.warn(msg) 2025-08-26T19:58:36.1058356Z 2025-08-26T19:58:36.1058565Z --- Parse Warning: 68 / 146 --- 2025-08-26T19:58:36.1059630Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py line=1118. 2025-08-26T19:58:36.1059895Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1059979Z 2025-08-26T19:58:36.1060158Z Return the model state_dict and optimizers state_dict. 2025-08-26T19:58:36.1060239Z 2025-08-26T19:58:36.1060475Z ``get_state_dict`` can process any module that is parallelized by PyTorch 2025-08-26T19:58:36.1060734Z FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any 2025-08-26T19:58:36.1060986Z combination of these parallelisms. The main functions of ``get_state_dict`` 2025-08-26T19:58:36.1061219Z are: 1.) returning a model and optimizer state_dict that can be resharded 2025-08-26T19:58:36.1061431Z with a different number of trainers and/or different parallelisms. 2025-08-26T19:58:36.1061702Z 2.) hiding the parallelism-specific state_dict APIs. Users don't have to call 2025-08-26T19:58:36.1061794Z these APIs. 2025-08-26T19:58:36.1061934Z 3.) sanity checking the result state_dict. 2025-08-26T19:58:36.1062017Z 2025-08-26T19:58:36.1062225Z The keys of the result state dictionary are the canonical FQNs (Fully 2025-08-26T19:58:36.1062477Z Qualified Names). A canonical FQN refers to the FQN based on a parameter's 2025-08-26T19:58:36.1062714Z position in an nn.Module hierarchy. More specifically, a canonical FQN to a 2025-08-26T19:58:36.1062971Z parameter is the FQN returned by ``module.named_parameters()`` or 2025-08-26T19:58:36.1063220Z ``module.named_buffers()`` when the module is not distributed by any 2025-08-26T19:58:36.1063477Z parallelisms. Since the optimizer internally uses parameter IDs to represent 2025-08-26T19:58:36.1063705Z a parameter, there will be a conversion from the parameter IDs to the 2025-08-26T19:58:36.1063820Z canonical FQNs when calling this API. 2025-08-26T19:58:36.1063920Z 2025-08-26T19:58:36.1064138Z ``get_state_dict`` can also process a module that is not parallelized. In 2025-08-26T19:58:36.1064358Z such a case, ``get_state_dict`` only performs one function -- converting the 2025-08-26T19:58:36.1064515Z optimizer parameter IDs to the canonical FQNs. 2025-08-26T19:58:36.1064595Z 2025-08-26T19:58:36.1064693Z Example: 2025-08-26T19:58:36.1064795Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1064891Z >>> import torch 2025-08-26T19:58:36.1065177Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-26T19:58:36.1065385Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2025-08-26T19:58:36.1065610Z >>> from torch.distributed.checkpoint.state_dict import get_state_dict 2025-08-26T19:58:36.1065704Z 2025-08-26T19:58:36.1065835Z >>> fsdp_model = FSDP(copy.deepcopy(model)) 2025-08-26T19:58:36.1066035Z >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3) 2025-08-26T19:58:36.1066163Z >>> ddp_model = DDP(copy.deepcopy(model)) 2025-08-26T19:58:36.1066340Z >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3) 2025-08-26T19:58:36.1066436Z 2025-08-26T19:58:36.1066518Z 2025-08-26T19:58:36.1066768Z >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim) 2025-08-26T19:58:36.1066937Z >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict( 2025-08-26T19:58:36.1067042Z ... fsdp_model, fsdp_optim 2025-08-26T19:58:36.1067143Z ... ) 2025-08-26T19:58:36.1067225Z 2025-08-26T19:58:36.1067452Z >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(), 2025-08-26T19:58:36.1067555Z >>> # the asserts will fail. 2025-08-26T19:58:36.1067685Z >>> assert ddp_state_dict == fsdp_state_dict 2025-08-26T19:58:36.1067847Z >>> assert ddp_optim_state == fsdp_optim_state_dict 2025-08-26T19:58:36.1067927Z 2025-08-26T19:58:36.1068022Z 2025-08-26T19:58:36.1068133Z Args: 2025-08-26T19:58:36.1068274Z model (nn.Module): the nn.Module to the model. 2025-08-26T19:58:36.1068474Z optimizers (Union[None, Optimizer, Iterable[Optimizer]]): 2025-08-26T19:58:36.1068633Z The optimizers that are used to optimize ``model``. 2025-08-26T19:58:36.1068930Z submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters 2025-08-26T19:58:36.1069041Z that belong to the submodules. 2025-08-26T19:58:36.1069216Z options (StateDictOptions): the options to control how 2025-08-26T19:58:36.1069437Z model state_dict and optimizer state_dict should be returned. See 2025-08-26T19:58:36.1069558Z `StateDictOptions` for the details. 2025-08-26T19:58:36.1069652Z 2025-08-26T19:58:36.1069737Z Returns: 2025-08-26T19:58:36.1069930Z ``Tuple`` that contain model state_dict and optimizer state_dict. 2025-08-26T19:58:36.1070023Z 2025-08-26T19:58:36.1070250Z :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType] 2025-08-26T19:58:36.1070344Z 2025-08-26T19:58:36.1070595Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1070675Z 2025-08-26T19:58:36.1070786Z warnings.warn(msg) 2025-08-26T19:58:36.1070865Z 2025-08-26T19:58:36.1071064Z [33m--- Parse Warning: 69 / 146 --- 2025-08-26T19:58:36.1072054Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=69. 2025-08-26T19:58:36.1072375Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1072472Z 2025-08-26T19:58:36.1072669Z Load a checkpoint into a distributed state dict in SPMD style. 2025-08-26T19:58:36.1072763Z 2025-08-26T19:58:36.1072987Z Each rank must have the same keys in their ``state_dict`` provided to this 2025-08-26T19:58:36.1073304Z API. Mismatched keys may result in hangs or errors. If unsure, you can use 2025-08-26T19:58:36.1073542Z the ``utils._assert_same_keys`` API to check (but may incur communication 2025-08-26T19:58:36.1073625Z costs). 2025-08-26T19:58:36.1073707Z 2025-08-26T19:58:36.1073908Z Each rank will try to read the least amount of data necessary 2025-08-26T19:58:36.1074141Z to fulfill the requested `state_dict`. When loading :class:`ShardedTensor` 2025-08-26T19:58:36.1074438Z or :class:`DTensor` instances, each rank only reads data for their local shards. 2025-08-26T19:58:36.1074523Z 2025-08-26T19:58:36.1074783Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2025-08-26T19:58:36.1075049Z load will first call ``state_dict`` before attempting deserialization, followed by 2025-08-26T19:58:36.1075215Z ``load_state_dict`` once the deserialization is complete. 2025-08-26T19:58:36.1075489Z For each non-``Stateful`` object, load will deserialize the object, and then replace 2025-08-26T19:58:36.1075639Z it in the ``state_dict`` with the deserialized object. 2025-08-26T19:58:36.1075737Z 2025-08-26T19:58:36.1075831Z .. warning:: 2025-08-26T19:58:36.1075999Z All tensors in ``state_dict`` must be allocated on their 2025-08-26T19:58:36.1076180Z destination device *prior to* calling this function. 2025-08-26T19:58:36.1076261Z 2025-08-26T19:58:36.1076494Z All non-tensor data is loaded using `torch.load()` and modified in place 2025-08-26T19:58:36.1076607Z on state_dict. 2025-08-26T19:58:36.1076689Z 2025-08-26T19:58:36.1076792Z .. warning:: 2025-08-26T19:58:36.1076999Z Users must call `load_state_dict` on the root module to ensure load 2025-08-26T19:58:36.1077181Z pos-processing and non-tensor data properly propagates. 2025-08-26T19:58:36.1077278Z 2025-08-26T19:58:36.1077366Z .. note: 2025-08-26T19:58:36.1077633Z If no process group is initialized, this function will assume the intent 2025-08-26T19:58:36.1077860Z is to load a checkpoint into the local process. This can be useful in the 2025-08-26T19:58:36.1078108Z case of local inference, and when using regular Tensors (as opposed to DTensor 2025-08-26T19:58:36.1078221Z or ShardedTensor) 2025-08-26T19:58:36.1078301Z 2025-08-26T19:58:36.1078395Z .. note: 2025-08-26T19:58:36.1078535Z Rank 0 is assumed to be the coordinator rank. 2025-08-26T19:58:36.1078618Z 2025-08-26T19:58:36.1078718Z Args: 2025-08-26T19:58:36.1078929Z state_dict (Dict[str, Any]): The state_dict to load the checkpoint into. 2025-08-26T19:58:36.1079089Z checkpoint_id (Union[str, os.PathLike, None]): 2025-08-26T19:58:36.1079300Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-08-26T19:58:36.1079502Z depends on the storage. It can be a path to a folder or to a file. 2025-08-26T19:58:36.1079685Z It can also be a key if the storage is a key-value store. 2025-08-26T19:58:36.1079783Z (Default: ``None``) 2025-08-26T19:58:36.1079931Z storage_reader (Optional[StorageReader]): 2025-08-26T19:58:36.1080134Z Instance of StorageWriter used to perform reads. If this is not 2025-08-26T19:58:36.1080336Z specified, DCP will automatically infer the reader based on the 2025-08-26T19:58:36.1080551Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-08-26T19:58:36.1080718Z be raised. (Default: ``None``) 2025-08-26T19:58:36.1080849Z planner (Optional[LoadPlanner]): 2025-08-26T19:58:36.1081048Z Instance of LoadPlanner. If this is not specified, the default 2025-08-26T19:58:36.1081178Z planner will be used. (Default: ``None``) 2025-08-26T19:58:36.1081323Z process_group (Optional[ProcessGroup]): 2025-08-26T19:58:36.1081506Z ProcessGroup to be used for cross-rank synchronization. 2025-08-26T19:58:36.1081618Z (Default: ``None``) 2025-08-26T19:58:36.1081829Z no_dist (bool): If ``True``, this function will assume the intent is to load 2025-08-26T19:58:36.1082084Z a checkpoint without using cross-rank synchronization. (Default: ``False``) 2025-08-26T19:58:36.1082184Z Returns: 2025-08-26T19:58:36.1082268Z None. 2025-08-26T19:58:36.1082368Z 2025-08-26T19:58:36.1082453Z Examples 2025-08-26T19:58:36.1082554Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1082697Z >>> my_model = MyModule() 2025-08-26T19:58:36.1082837Z >>> optimizer = Adagrad(my_model.parameters()) 2025-08-26T19:58:36.1082982Z >>> model_state_dict = my_model.state_dict() 2025-08-26T19:58:36.1083216Z >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader( 2025-08-26T19:58:36.1083316Z ... "/checkpoint/1" 2025-08-26T19:58:36.1083415Z ... ) 2025-08-26T19:58:36.1083495Z 2025-08-26T19:58:36.1083668Z >>> torch.distributed.checkpoint.load_state_dict( 2025-08-26T19:58:36.1083782Z >>> state_dict=model_state_dict, 2025-08-26T19:58:36.1083900Z >>> storage_reader=fs_storage_reader, 2025-08-26T19:58:36.1084001Z >>> ) 2025-08-26T19:58:36.1084082Z 2025-08-26T19:58:36.1084281Z >>> # module.load_state_dict() function might have customized steps 2025-08-26T19:58:36.1084422Z >>> # to flush the state_dict, must call it to 2025-08-26T19:58:36.1084530Z >>> # ensure correct behavior. 2025-08-26T19:58:36.1084679Z >>> my_model.load_state_dict(model_state_dict) 2025-08-26T19:58:36.1084761Z 2025-08-26T19:58:36.1084848Z .. note:: 2025-08-26T19:58:36.1085070Z load_state_dict uses collectives to coordinate reads across ranks. 2025-08-26T19:58:36.1085284Z For NCCL-based process groups, internal tensor representations of 2025-08-26T19:58:36.1085569Z objects must be moved to the GPU device before communication takes place. 2025-08-26T19:58:36.1085791Z In this case, the device used is given by ``torch.cuda.current_device()`` 2025-08-26T19:58:36.1086017Z and it is the user's responsibility to ensure that this is set so that each 2025-08-26T19:58:36.1086214Z rank has an individual GPU, via ``torch.cuda.set_device()``. 2025-08-26T19:58:36.1086295Z 2025-08-26T19:58:36.1086563Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1086645Z 2025-08-26T19:58:36.1086747Z warnings.warn(msg) 2025-08-26T19:58:36.1086842Z 2025-08-26T19:58:36.1087049Z --- Parse Warning: 70 / 146 --- 2025-08-26T19:58:36.1088030Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=97. 2025-08-26T19:58:36.1088299Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1088451Z 2025-08-26T19:58:36.1088570Z Save a distributed model in SPMD style. 2025-08-26T19:58:36.1088651Z 2025-08-26T19:58:36.1088854Z This function is different from ``torch.save()`` as it handles 2025-08-26T19:58:36.1089153Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards. 2025-08-26T19:58:36.1089235Z 2025-08-26T19:58:36.1089506Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2025-08-26T19:58:36.1089718Z save will call ``state_dict`` before serialization. 2025-08-26T19:58:36.1089808Z 2025-08-26T19:58:36.1089894Z .. warning:: 2025-08-26T19:58:36.1090128Z There is no guarantees of Backwards Compatibility across PyTorch versions 2025-08-26T19:58:36.1090238Z for saved state_dicts. 2025-08-26T19:58:36.1090319Z 2025-08-26T19:58:36.1090418Z .. warning:: 2025-08-26T19:58:36.1090628Z If using the `process_group` argument, make sure that only its ranks 2025-08-26T19:58:36.1090832Z call `save_state_dict` and that all data in state_dict belong to it. 2025-08-26T19:58:36.1090920Z 2025-08-26T19:58:36.1091004Z .. note:: 2025-08-26T19:58:36.1091271Z When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of 2025-08-26T19:58:36.1091530Z the shard_group should be calling `save_state_dict` and the corresponding process 2025-08-26T19:58:36.1091639Z group needs to be passed in. 2025-08-26T19:58:36.1091733Z 2025-08-26T19:58:36.1091845Z .. note:: 2025-08-26T19:58:36.1092123Z If no process group is available, this function assumes the intention is to save the 2025-08-26T19:58:36.1092234Z state_dict in the local process. 2025-08-26T19:58:36.1092315Z 2025-08-26T19:58:36.1092409Z .. note: 2025-08-26T19:58:36.1092548Z Rank 0 is assumed to be the coordinator rank. 2025-08-26T19:58:36.1092635Z 2025-08-26T19:58:36.1092714Z 2025-08-26T19:58:36.1092796Z Args: 2025-08-26T19:58:36.1092962Z state_dict (Dict[str, Any]): The state_dict to save. 2025-08-26T19:58:36.1093108Z checkpoint_id (Union[str, os.PathLike, None]): 2025-08-26T19:58:36.1093318Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-08-26T19:58:36.1093530Z depends on the storage. It can be a path to a folder or to a file. 2025-08-26T19:58:36.1093696Z It can also be a key if the storage is a key-value store. 2025-08-26T19:58:36.1093810Z (Default: ``None``) 2025-08-26T19:58:36.1093940Z storage_writer (Optional[StorageWriter]): 2025-08-26T19:58:36.1094147Z Instance of StorageWriter used to perform writes. If this is not 2025-08-26T19:58:36.1094362Z specified, DCP will automatically infer the writer based on the 2025-08-26T19:58:36.1094565Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-08-26T19:58:36.1094722Z be raised. (Default: ``None``) 2025-08-26T19:58:36.1094840Z planner (Optional[SavePlanner]): 2025-08-26T19:58:36.1095048Z Instance of SavePlanner. If this is not specified, the default 2025-08-26T19:58:36.1095174Z planner will be used. (Default: ``None``) 2025-08-26T19:58:36.1095301Z process_group (Optional[ProcessGroup]): 2025-08-26T19:58:36.1095492Z ProcessGroup to be used for cross-rank synchronization. 2025-08-26T19:58:36.1095587Z (Default: ``None``) 2025-08-26T19:58:36.1095681Z no_dist (bool): 2025-08-26T19:58:36.1095863Z If ``True``, this function will assume the intent is to load 2025-08-26T19:58:36.1095987Z a checkpoint on a single rank/process. 2025-08-26T19:58:36.1096095Z (Default: ``False``) 2025-08-26T19:58:36.1096350Z use_collectives (bool): If ``False``, this function will assume the intent is to save 2025-08-26T19:58:36.1096540Z a checkpoint without using cross-rank synchronization. 2025-08-26T19:58:36.1096634Z (Default: ``True``) 2025-08-26T19:58:36.1096858Z This configuration is experimental and should be used with caution. 2025-08-26T19:58:36.1097140Z It will change the format of the saved checkpoint and may not be backward compatible. 2025-08-26T19:58:36.1097220Z 2025-08-26T19:58:36.1097305Z Returns: 2025-08-26T19:58:36.1097478Z Metadata: Metadata object for the saved checkpoint. 2025-08-26T19:58:36.1097587Z 2025-08-26T19:58:36.1097685Z Example: 2025-08-26T19:58:36.1097811Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1097911Z >>> my_model = MyModule() 2025-08-26T19:58:36.1098004Z 2025-08-26T19:58:36.1098129Z >>> state_dict = {"model": my_model} 2025-08-26T19:58:36.1098219Z 2025-08-26T19:58:36.1098454Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter( 2025-08-26T19:58:36.1098551Z ... "/checkpoint/1" 2025-08-26T19:58:36.1098650Z ... ) 2025-08-26T19:58:36.1098780Z >>> torch.distributed.checkpoint.save( 2025-08-26T19:58:36.1098896Z >>> state_dict=state_dict, 2025-08-26T19:58:36.1099012Z >>> storage_writer=fs_storage_writer, 2025-08-26T19:58:36.1099093Z >>> ) 2025-08-26T19:58:36.1099184Z 2025-08-26T19:58:36.1099269Z .. note:: 2025-08-26T19:58:36.1099482Z save_state_dict uses collectives to coordinate writes across ranks. 2025-08-26T19:58:36.1099704Z For NCCL-based process groups, internal tensor representations of 2025-08-26T19:58:36.1099959Z objects must be moved to the GPU device before communication takes place. 2025-08-26T19:58:36.1100190Z In this case, the device used is given by ``torch.cuda.current_device()`` 2025-08-26T19:58:36.1100398Z and it is the user's responsibility to ensure that this is set so that 2025-08-26T19:58:36.1100609Z each rank has an individual GPU, via ``torch.cuda.set_device()``. 2025-08-26T19:58:36.1100688Z 2025-08-26T19:58:36.1100938Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1101032Z 2025-08-26T19:58:36.1101127Z warnings.warn(msg) 2025-08-26T19:58:36.1101206Z 2025-08-26T19:58:36.1101414Z --- Parse Warning: 71 / 146 --- 2025-08-26T19:58:36.1102416Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=230. 2025-08-26T19:58:36.1102697Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1102962Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the 2025-08-26T19:58:36.1103269Z staging storage (defaults to CPU memory), and then calls the `save` in a separate thread. 2025-08-26T19:58:36.1103348Z 2025-08-26T19:58:36.1103507Z .. warning:: 2025-08-26T19:58:36.1103681Z This feature is experimental and subject to change. 2025-08-26T19:58:36.1103824Z MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED 2025-08-26T19:58:36.1103919Z 2025-08-26T19:58:36.1104000Z Args: 2025-08-26T19:58:36.1104155Z state_dict (Dict[str, Any]): The state_dict to save. 2025-08-26T19:58:36.1104312Z checkpoint_id (Union[str, os.PathLike, None]): 2025-08-26T19:58:36.1104520Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-08-26T19:58:36.1104744Z depends on the storage. It can be a path to a folder or to a file. 2025-08-26T19:58:36.1104909Z It can also be a key if the storage is a key-value store. 2025-08-26T19:58:36.1105007Z (Default: ``None``) 2025-08-26T19:58:36.1105152Z storage_writer (Optional[StorageWriter]): 2025-08-26T19:58:36.1105364Z Instance of StorageWriter used to perform 'stage' and 'save'. If 2025-08-26T19:58:36.1105615Z this is not specified, DCP will automatically infer the writer based on the 2025-08-26T19:58:36.1105815Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-08-26T19:58:36.1105927Z be raised. (Default: ``None``) 2025-08-26T19:58:36.1106056Z planner (Optional[SavePlanner]): 2025-08-26T19:58:36.1106252Z Instance of SavePlanner. If this is not specified, the default 2025-08-26T19:58:36.1106425Z planner will be used. (Default: ``None``) 2025-08-26T19:58:36.1106581Z process_group (Optional[ProcessGroup]): 2025-08-26T19:58:36.1106762Z ProcessGroup to be used for cross-rank synchronization. 2025-08-26T19:58:36.1106873Z (Default: ``None``) 2025-08-26T19:58:36.1107031Z async_checkpointer_type (AsyncCheckpointerType): 2025-08-26T19:58:36.1107218Z whether to do checkpoint in separate thread or process 2025-08-26T19:58:36.1107362Z (Default: ``AsyncCheckpointerType.THREAD``) 2025-08-26T19:58:36.1107469Z async_stager (AsyncStager): 2025-08-26T19:58:36.1107741Z provides staging implementation. If storage_writer implements AsyncStager 2025-08-26T19:58:36.1107952Z and async_stager is provided, async_stager will be used for staging 2025-08-26T19:58:36.1108059Z no_dist (bool): 2025-08-26T19:58:36.1108226Z If ``True``, this function will assume the intent is to save 2025-08-26T19:58:36.1108383Z a checkpoint on a single rank/process. 2025-08-26T19:58:36.1108496Z (Default: ``False``) 2025-08-26T19:58:36.1108808Z use_collectives: If False, Save the checkpoint without rank coordination. (Default: ``True``) 2025-08-26T19:58:36.1109052Z This configuration is experimental and should be used with caution. 2025-08-26T19:58:36.1109324Z It will change the format of the saved checkpoint and may not be backward compatible. 2025-08-26T19:58:36.1109403Z 2025-08-26T19:58:36.1109502Z Returns: 2025-08-26T19:58:36.1109714Z Future: A future holding the resultant Metadata object from `save`. 2025-08-26T19:58:36.1109811Z 2025-08-26T19:58:36.1109897Z Example: 2025-08-26T19:58:36.1109995Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1110110Z >>> my_model = MyModule() 2025-08-26T19:58:36.1110187Z 2025-08-26T19:58:36.1110312Z >>> state_dict = {"model": my_model} 2025-08-26T19:58:36.1110394Z 2025-08-26T19:58:36.1110627Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter( 2025-08-26T19:58:36.1110738Z ... "/checkpoint/1" 2025-08-26T19:58:36.1110820Z ... ) 2025-08-26T19:58:36.1111041Z >>> checkpoint_future = torch.distributed.checkpoint.async_save( 2025-08-26T19:58:36.1111146Z >>> state_dict=state_dict, 2025-08-26T19:58:36.1111298Z >>> storage_writer=fs_storage_writer, 2025-08-26T19:58:36.1111397Z >>> ) 2025-08-26T19:58:36.1111474Z >>> 2025-08-26T19:58:36.1111569Z >>> # ... do some work ... 2025-08-26T19:58:36.1111666Z >>> 2025-08-26T19:58:36.1111776Z >>> checkpoint_future.result() 2025-08-26T19:58:36.1111870Z 2025-08-26T19:58:36.1111953Z 2025-08-26T19:58:36.1112204Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1112302Z 2025-08-26T19:58:36.1112401Z warnings.warn(msg) 2025-08-26T19:58:36.1112496Z 2025-08-26T19:58:36.1112690Z --- Parse Warning: 72 / 146 --- 2025-08-26T19:58:36.1113840Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=construct_and_record_rdzv_event in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/events/__init__.py line=94. 2025-08-26T19:58:36.1114121Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1114201Z 2025-08-26T19:58:36.1114422Z Initialize rendezvous event object and record its operations. 2025-08-26T19:58:36.1114506Z 2025-08-26T19:58:36.1114591Z Args: 2025-08-26T19:58:36.1114735Z run_id (str): The run id of the rendezvous. 2025-08-26T19:58:36.1114882Z message (str): The message describing the event. 2025-08-26T19:58:36.1115192Z node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED). 2025-08-26T19:58:36.1115408Z name (str): Event name. (E.g. Current action being performed). 2025-08-26T19:58:36.1115526Z hostname (str): Hostname of the node. 2025-08-26T19:58:36.1115684Z pid (Optional[int]): The process id of the node. 2025-08-26T19:58:36.1115928Z master_endpoint (str): The master endpoint for the rendezvous store, if known. 2025-08-26T19:58:36.1116212Z local_id (Optional[int]): The local_id of the node, if defined in dynamic_rendezvous.py 2025-08-26T19:58:36.1116372Z rank (Optional[int]): The rank of the node, if known. 2025-08-26T19:58:36.1116459Z Returns: 2025-08-26T19:58:36.1116561Z None 2025-08-26T19:58:36.1116646Z Example: 2025-08-26T19:58:36.1116791Z >>> # See DynamicRendezvousHandler class 2025-08-26T19:58:36.1116885Z >>> def _record( 2025-08-26T19:58:36.1116972Z ... self, 2025-08-26T19:58:36.1117084Z ... message: str, 2025-08-26T19:58:36.1117265Z ... node_state: NodeState = NodeState.RUNNING, 2025-08-26T19:58:36.1117394Z ... rank: Optional[int] = None, 2025-08-26T19:58:36.1117478Z ... ) -> None: 2025-08-26T19:58:36.1117599Z ... construct_and_record_rdzv_event( 2025-08-26T19:58:36.1117776Z ... name=f"{self.__class__.__name__}.{get_method_name()}", 2025-08-26T19:58:36.1117895Z ... run_id=self._settings.run_id, 2025-08-26T19:58:36.1118009Z ... message=message, 2025-08-26T19:58:36.1118115Z ... node_state=node_state, 2025-08-26T19:58:36.1118234Z ... hostname=self._this_node.addr, 2025-08-26T19:58:36.1118356Z ... pid=self._this_node.pid, 2025-08-26T19:58:36.1118480Z ... local_id=self._this_node.local_id, 2025-08-26T19:58:36.1118574Z ... rank=rank, 2025-08-26T19:58:36.1118673Z ... ) 2025-08-26T19:58:36.1118752Z 2025-08-26T19:58:36.1119021Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1119100Z 2025-08-26T19:58:36.1119195Z warnings.warn(msg) 2025-08-26T19:58:36.1119284Z 2025-08-26T19:58:36.1119478Z --- Parse Warning: 73 / 146 --- 2025-08-26T19:58:36.1120447Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixedPrecision in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=114. 2025-08-26T19:58:36.1120708Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1120783Z 2025-08-26T19:58:36.1120962Z This configures FSDP-native mixed precision training. 2025-08-26T19:58:36.1121039Z 2025-08-26T19:58:36.1121142Z Attributes: 2025-08-26T19:58:36.1121376Z param_dtype (Optional[torch.dtype]): This specifies the dtype for model 2025-08-26T19:58:36.1121577Z parameters during forward and backward and thus the dtype for 2025-08-26T19:58:36.1121815Z forward and backward computation. Outside forward and backward, the 2025-08-26T19:58:36.1122005Z *sharded* parameters are kept in full precision (e.g. for the 2025-08-26T19:58:36.1122228Z optimizer step), and for model checkpointing, the parameters are 2025-08-26T19:58:36.1122385Z always saved in full precision. (Default: ``None``) 2025-08-26T19:58:36.1122599Z reduce_dtype (Optional[torch.dtype]): This specifies the dtype for 2025-08-26T19:58:36.1122823Z gradient reduction (i.e. reduce-scatter or all-reduce). If this is 2025-08-26T19:58:36.1122998Z ``None`` but ``param_dtype`` is not ``None``, then this takes on 2025-08-26T19:58:36.1123210Z the ``param_dtype`` value, still running gradient reduction in low 2025-08-26T19:58:36.1123415Z precision. This is permitted to differ from ``param_dtype``, e.g. 2025-08-26T19:58:36.1123661Z to force gradient reduction to run in full precision. (Default: 2025-08-26T19:58:36.1123772Z ``None``) 2025-08-26T19:58:36.1123983Z buffer_dtype (Optional[torch.dtype]): This specifies the dtype for 2025-08-26T19:58:36.1124195Z buffers. FSDP does not shard buffers. Rather, FSDP casts them to 2025-08-26T19:58:36.1124389Z ``buffer_dtype`` in the first forward pass and keeps them in that 2025-08-26T19:58:36.1124617Z dtype thereafter. For model checkpointing, the buffers are saved 2025-08-26T19:58:36.1124794Z in full precision except for ``LOCAL_STATE_DICT``. (Default: 2025-08-26T19:58:36.1124878Z ``None``) 2025-08-26T19:58:36.1125086Z keep_low_precision_grads (bool): If ``False``, then FSDP upcasts 2025-08-26T19:58:36.1125302Z gradients to full precision after the backward pass in preparation 2025-08-26T19:58:36.1125522Z for the optimizer step. If ``True``, then FSDP keeps the gradients 2025-08-26T19:58:36.1125748Z in the dtype used for gradient reduction, which can save memory if 2025-08-26T19:58:36.1125958Z using a custom optimizer that supports running in low precision. 2025-08-26T19:58:36.1126071Z (Default: ``False``) 2025-08-26T19:58:36.1126279Z cast_forward_inputs (bool): If ``True``, then this FSDP module casts 2025-08-26T19:58:36.1126490Z its forward args and kwargs to ``param_dtype``. This is to ensure 2025-08-26T19:58:36.1126703Z that parameter and input dtypes match for forward computation, as 2025-08-26T19:58:36.1126904Z required by many ops. This may need to be set to ``True`` when only 2025-08-26T19:58:36.1127138Z applying mixed precision to some but not all FSDP modules, in which 2025-08-26T19:58:36.1127345Z case a mixed-precision FSDP submodule needs to recast its inputs. 2025-08-26T19:58:36.1127458Z (Default: ``False``) 2025-08-26T19:58:36.1127680Z cast_root_forward_inputs (bool): If ``True``, then the root FSDP module 2025-08-26T19:58:36.1127880Z casts its forward args and kwargs to ``param_dtype``, overriding 2025-08-26T19:58:36.1128084Z the value of ``cast_forward_inputs``. For non-root FSDP modules, 2025-08-26T19:58:36.1128224Z this does not do anything. (Default: ``True``) 2025-08-26T19:58:36.1128452Z _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies 2025-08-26T19:58:36.1128664Z module classes to ignore for mixed precision when using an 2025-08-26T19:58:36.1128862Z ``auto_wrap_policy``: Modules of these classes will have FSDP 2025-08-26T19:58:36.1129071Z applied to them separately with mixed precision disabled (meaning 2025-08-26T19:58:36.1129275Z that the final FSDP construction would deviate from the specified 2025-08-26T19:58:36.1129481Z policy). If ``auto_wrap_policy`` is not specified, then this does 2025-08-26T19:58:36.1129685Z not do anything. This API is experimental and subject to change. 2025-08-26T19:58:36.1129809Z (Default: ``(_BatchNorm,)``) 2025-08-26T19:58:36.1129889Z 2025-08-26T19:58:36.1130059Z .. note:: This API is experimental and subject to change. 2025-08-26T19:58:36.1130154Z 2025-08-26T19:58:36.1130375Z .. note:: Only floating point tensors are cast to their specified dtypes. 2025-08-26T19:58:36.1130471Z 2025-08-26T19:58:36.1130655Z .. note:: In ``summon_full_params``, parameters are forced to full 2025-08-26T19:58:36.1130769Z precision, but buffers are not. 2025-08-26T19:58:36.1130864Z 2025-08-26T19:58:36.1131069Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when 2025-08-26T19:58:36.1131293Z their inputs are in a low precision like ``float16`` or ``bfloat16``. 2025-08-26T19:58:36.1131524Z Disabling FSDP's mixed precision for those norm modules only means that 2025-08-26T19:58:36.1131765Z the affine parameters are kept in ``float32``. However, this incurs 2025-08-26T19:58:36.1132043Z separate all-gathers and reduce-scatters for those norm modules, which 2025-08-26T19:58:36.1132261Z may be inefficient, so if the workload permits, the user should prefer 2025-08-26T19:58:36.1132426Z to still apply mixed precision to those modules. 2025-08-26T19:58:36.1132506Z 2025-08-26T19:58:36.1132712Z .. note:: By default, if the user passes a model with any ``_BatchNorm`` 2025-08-26T19:58:36.1132931Z modules and specifies an ``auto_wrap_policy``, then the batch norm 2025-08-26T19:58:36.1133154Z modules will have FSDP applied to them separately with mixed precision 2025-08-26T19:58:36.1133361Z disabled. See the ``_module_classes_to_ignore`` argument. 2025-08-26T19:58:36.1133441Z 2025-08-26T19:58:36.1133647Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and 2025-08-26T19:58:36.1133874Z ``cast_forward_inputs=False`` by default. For the root FSDP instance, 2025-08-26T19:58:36.1134079Z its ``cast_root_forward_inputs`` takes precedence over its 2025-08-26T19:58:36.1134272Z ``cast_forward_inputs``. For non-root FSDP instances, their 2025-08-26T19:58:36.1134486Z ``cast_root_forward_inputs`` values are ignored. The default setting is 2025-08-26T19:58:36.1134706Z sufficient for the typical case where each FSDP instance has the same 2025-08-26T19:58:36.1134949Z ``MixedPrecision`` configuration and only needs to cast inputs to the 2025-08-26T19:58:36.1135129Z ``param_dtype`` at the beginning of the model's forward pass. 2025-08-26T19:58:36.1135226Z 2025-08-26T19:58:36.1135431Z .. note:: For nested FSDP instances with different ``MixedPrecision`` 2025-08-26T19:58:36.1135683Z configurations, we recommend setting individual ``cast_forward_inputs`` 2025-08-26T19:58:36.1135888Z values to configure casting inputs or not before each instance's 2025-08-26T19:58:36.1136087Z forward. In such a case, since the casts happen before each FSDP 2025-08-26T19:58:36.1136317Z instance's forward, a parent FSDP instance should have its non-FSDP 2025-08-26T19:58:36.1136547Z submodules run before its FSDP submodules to avoid the activation dtype 2025-08-26T19:58:36.1136765Z being changed due to a different ``MixedPrecision`` configuration. 2025-08-26T19:58:36.1136845Z 2025-08-26T19:58:36.1136933Z Example:: 2025-08-26T19:58:36.1137055Z 2025-08-26T19:58:36.1137189Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:36.1137373Z >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3)) 2025-08-26T19:58:36.1137468Z >>> model[1] = FSDP( 2025-08-26T19:58:36.1137560Z >>> model[1], 2025-08-26T19:58:36.1137879Z >>> mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True), 2025-08-26T19:58:36.1137962Z >>> ) 2025-08-26T19:58:36.1138074Z >>> model = FSDP( 2025-08-26T19:58:36.1138165Z >>> model, 2025-08-26T19:58:36.1138472Z >>> mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True), 2025-08-26T19:58:36.1138569Z >>> ) 2025-08-26T19:58:36.1138649Z 2025-08-26T19:58:36.1138860Z The above shows a working example. On the other hand, if ``model[1]`` 2025-08-26T19:58:36.1139078Z were replaced with ``model[0]``, meaning that the submodule using 2025-08-26T19:58:36.1139300Z different ``MixedPrecision`` ran its forward first, then ``model[1]`` 2025-08-26T19:58:36.1139534Z would incorrectly see ``float16`` activations instead of ``bfloat16`` 2025-08-26T19:58:36.1139618Z ones. 2025-08-26T19:58:36.1139699Z 2025-08-26T19:58:36.1139791Z 2025-08-26T19:58:36.1140042Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1140135Z 2025-08-26T19:58:36.1140261Z warnings.warn(msg) 2025-08-26T19:58:36.1140342Z 2025-08-26T19:58:36.1140589Z --- Parse Warning: 74 / 146 --- 2025-08-26T19:58:36.1141546Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=295. 2025-08-26T19:58:36.1141827Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1141914Z 2025-08-26T19:58:36.1142122Z ``FullStateDictConfig`` is a config class meant to be used with 2025-08-26T19:58:36.1142336Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-08-26T19:58:36.1142538Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-08-26T19:58:36.1142774Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-08-26T19:58:36.1142974Z is meant to be used via the :func:`state_dict_type` context manager as 2025-08-26T19:58:36.1143060Z follows: 2025-08-26T19:58:36.1143183Z 2025-08-26T19:58:36.1143315Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:36.1143569Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-26T19:58:36.1143697Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-08-26T19:58:36.1143900Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-08-26T19:58:36.1144131Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-08-26T19:58:36.1144242Z >>> state = fsdp.state_dict() 2025-08-26T19:58:36.1144465Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-08-26T19:58:36.1144704Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-08-26T19:58:36.1144950Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-08-26T19:58:36.1145054Z >>> if dist.get_rank() == 0: 2025-08-26T19:58:36.1145248Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-08-26T19:58:36.1145405Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-08-26T19:58:36.1145526Z >>> model.load_state_dict(state_dict) 2025-08-26T19:58:36.1145775Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-08-26T19:58:36.1146043Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-08-26T19:58:36.1146138Z >>> fsdp = FSDP( 2025-08-26T19:58:36.1146239Z ... model, 2025-08-26T19:58:36.1146374Z ... device_id=torch.cuda.current_device(), 2025-08-26T19:58:36.1146496Z ... auto_wrap_policy=..., 2025-08-26T19:58:36.1146603Z ... sync_module_states=True, 2025-08-26T19:58:36.1146688Z ... ) 2025-08-26T19:58:36.1146917Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-08-26T19:58:36.1147002Z 2025-08-26T19:58:36.1147095Z Attributes: 2025-08-26T19:58:36.1147311Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-08-26T19:58:36.1147513Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-08-26T19:58:36.1147688Z ranks save the full state dict. (Default: ``False``) 2025-08-26T19:58:36.1147770Z 2025-08-26T19:58:36.1148028Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1148127Z 2025-08-26T19:58:36.1148250Z warnings.warn(msg) 2025-08-26T19:58:36.1148349Z 2025-08-26T19:58:36.1148544Z --- Parse Warning: 75 / 146 --- 2025-08-26T19:58:36.1149740Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=634. 2025-08-26T19:58:36.1150091Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1150342Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2025-08-26T19:58:36.1150442Z 2025-08-26T19:58:36.1150710Z Also takes (optional) configuration for the model's and optimizer's state dict. 2025-08-26T19:58:36.1150972Z The target module does not have to be a FSDP module. If the target 2025-08-26T19:58:36.1151184Z module is a FSDP module, its ``state_dict_type`` will also be changed. 2025-08-26T19:58:36.1151266Z 2025-08-26T19:58:36.1151479Z .. note:: This API should be called for only the top-level (root) 2025-08-26T19:58:36.1151568Z module. 2025-08-26T19:58:36.1151663Z 2025-08-26T19:58:36.1151871Z .. note:: This API enables users to transparently use the conventional 2025-08-26T19:58:36.1152063Z ``state_dict`` API to take model checkpoints in cases where the 2025-08-26T19:58:36.1152317Z root FSDP module is wrapped by another ``nn.Module``. For example, 2025-08-26T19:58:36.1152526Z the following will ensure ``state_dict`` is called on all non-FSDP 2025-08-26T19:58:36.1152772Z instances, while dispatching into `sharded_state_dict` implementation 2025-08-26T19:58:36.1152862Z for FSDP: 2025-08-26T19:58:36.1152941Z 2025-08-26T19:58:36.1153124Z Example:: 2025-08-26T19:58:36.1153208Z 2025-08-26T19:58:36.1153360Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:36.1153467Z >>> model = DDP(FSDP(...)) 2025-08-26T19:58:36.1153579Z >>> FSDP.set_state_dict_type( 2025-08-26T19:58:36.1153686Z >>> model, 2025-08-26T19:58:36.1153816Z >>> StateDictType.SHARDED_STATE_DICT, 2025-08-26T19:58:36.1154046Z >>> state_dict_config = ShardedStateDictConfig(offload_to_cpu=True), 2025-08-26T19:58:36.1154280Z >>> optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True), 2025-08-26T19:58:36.1154363Z >>> ) 2025-08-26T19:58:36.1154505Z >>> param_state_dict = model.state_dict() 2025-08-26T19:58:36.1154899Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2025-08-26T19:58:36.1154994Z 2025-08-26T19:58:36.1155076Z Args: 2025-08-26T19:58:36.1155273Z module (torch.nn.Module): Root module. 2025-08-26T19:58:36.1155520Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2025-08-26T19:58:36.1155757Z state_dict_config (Optional[StateDictConfig]): the configuration for the 2025-08-26T19:58:36.1155886Z target ``state_dict_type``. 2025-08-26T19:58:36.1156140Z optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration 2025-08-26T19:58:36.1156259Z for the optimizer state dict. 2025-08-26T19:58:36.1156358Z 2025-08-26T19:58:36.1156444Z Returns: 2025-08-26T19:58:36.1156683Z A StateDictSettings that include the previous state_dict type and 2025-08-26T19:58:36.1156797Z configuration for the module. 2025-08-26T19:58:36.1156881Z 2025-08-26T19:58:36.1157150Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1157279Z 2025-08-26T19:58:36.1157376Z warnings.warn(msg) 2025-08-26T19:58:36.1157472Z 2025-08-26T19:58:36.1157681Z --- Parse Warning: 76 / 146 --- 2025-08-26T19:58:36.1158877Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=792. 2025-08-26T19:58:36.1159190Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1159493Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2025-08-26T19:58:36.1159624Z 2025-08-26T19:58:36.1159944Z This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of 2025-08-26T19:58:36.1160091Z :meth:`set_state_dict_type` for the detail. 2025-08-26T19:58:36.1160172Z 2025-08-26T19:58:36.1160281Z Example:: 2025-08-26T19:58:36.1160359Z 2025-08-26T19:58:36.1160493Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:36.1160614Z >>> model = DDP(FSDP(...)) 2025-08-26T19:58:36.1160727Z >>> with FSDP.state_dict_type( 2025-08-26T19:58:36.1160816Z >>> model, 2025-08-26T19:58:36.1160965Z >>> StateDictType.SHARDED_STATE_DICT, 2025-08-26T19:58:36.1161051Z >>> ): 2025-08-26T19:58:36.1161226Z >>> checkpoint = model.state_dict() 2025-08-26T19:58:36.1161308Z 2025-08-26T19:58:36.1161390Z Args: 2025-08-26T19:58:36.1161530Z module (torch.nn.Module): Root module. 2025-08-26T19:58:36.1161767Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2025-08-26T19:58:36.1162012Z state_dict_config (Optional[StateDictConfig]): the model ``state_dict`` 2025-08-26T19:58:36.1162175Z configuration for the target ``state_dict_type``. 2025-08-26T19:58:36.1162412Z optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer 2025-08-26T19:58:36.1162624Z ``state_dict`` configuration for the target ``state_dict_type``. 2025-08-26T19:58:36.1162708Z 2025-08-26T19:58:36.1162978Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1163063Z 2025-08-26T19:58:36.1163162Z warnings.warn(msg) 2025-08-26T19:58:36.1163255Z 2025-08-26T19:58:36.1163448Z --- Parse Warning: 77 / 146 --- 2025-08-26T19:58:36.1164653Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1805. 2025-08-26T19:58:36.1164943Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1165038Z 2025-08-26T19:58:36.1165280Z Transform the state-dict of an optimizer corresponding to a sharded model. 2025-08-26T19:58:36.1165360Z 2025-08-26T19:58:36.1165566Z The given state-dict can be transformed to one of three types: 2025-08-26T19:58:36.1165867Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict. 2025-08-26T19:58:36.1165960Z 2025-08-26T19:58:36.1166198Z For full optimizer state_dict, all states are unflattened and not sharded. 2025-08-26T19:58:36.1166413Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to 2025-08-26T19:58:36.1166513Z avoid OOM. 2025-08-26T19:58:36.1166593Z 2025-08-26T19:58:36.1166826Z For sharded optimizer state_dict, all states are unflattened but sharded. 2025-08-26T19:58:36.1167046Z CPU only can be specified via :meth:`state_dict_type` to further save 2025-08-26T19:58:36.1167132Z memory. 2025-08-26T19:58:36.1167227Z 2025-08-26T19:58:36.1167443Z For local state_dict, no transformation will be performed. But a state 2025-08-26T19:58:36.1167681Z will be converted from nn.Tensor to ShardedTensor to represent its sharding 2025-08-26T19:58:36.1167809Z nature (this is not supported yet). 2025-08-26T19:58:36.1167889Z 2025-08-26T19:58:36.1167992Z Example:: 2025-08-26T19:58:36.1168072Z 2025-08-26T19:58:36.1168202Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:36.1168482Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-26T19:58:36.1168666Z >>> from torch.distributed.fsdp import StateDictType 2025-08-26T19:58:36.1168856Z >>> from torch.distributed.fsdp import FullStateDictConfig 2025-08-26T19:58:36.1169056Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2025-08-26T19:58:36.1169153Z >>> # Save a checkpoint 2025-08-26T19:58:36.1169268Z >>> model, optim = ... 2025-08-26T19:58:36.1169375Z >>> FSDP.set_state_dict_type( 2025-08-26T19:58:36.1169475Z >>> model, 2025-08-26T19:58:36.1169594Z >>> StateDictType.FULL_STATE_DICT, 2025-08-26T19:58:36.1169724Z >>> FullStateDictConfig(rank0_only=False), 2025-08-26T19:58:36.1169881Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-26T19:58:36.1169964Z >>> ) 2025-08-26T19:58:36.1170091Z >>> state_dict = model.state_dict() 2025-08-26T19:58:36.1170302Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2025-08-26T19:58:36.1170450Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2025-08-26T19:58:36.1170564Z >>> # Load a checkpoint 2025-08-26T19:58:36.1170661Z >>> model, optim = ... 2025-08-26T19:58:36.1170826Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2025-08-26T19:58:36.1170933Z >>> FSDP.set_state_dict_type( 2025-08-26T19:58:36.1171018Z >>> model, 2025-08-26T19:58:36.1171154Z >>> StateDictType.FULL_STATE_DICT, 2025-08-26T19:58:36.1171283Z >>> FullStateDictConfig(rank0_only=False), 2025-08-26T19:58:36.1171440Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-26T19:58:36.1171522Z >>> ) 2025-08-26T19:58:36.1171638Z >>> model.load_state_dict(state_dict) 2025-08-26T19:58:36.1171804Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2025-08-26T19:58:36.1171919Z >>> model, optim, optim_state_dict 2025-08-26T19:58:36.1172002Z >>> ) 2025-08-26T19:58:36.1172146Z >>> optim.load_state_dict(optim_state_dict) 2025-08-26T19:58:36.1172226Z 2025-08-26T19:58:36.1172329Z Args: 2025-08-26T19:58:36.1172524Z model (torch.nn.Module): Root module (which may or may not be a 2025-08-26T19:58:36.1172725Z :class:`FullyShardedDataParallel` instance) whose parameters 2025-08-26T19:58:36.1172877Z were passed into the optimizer ``optim``. 2025-08-26T19:58:36.1173085Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2025-08-26T19:58:36.1173194Z parameters. 2025-08-26T19:58:36.1173406Z optim_state_dict (Dict[str, Any]): the target optimizer state_dict to 2025-08-26T19:58:36.1173617Z transform. If the value is None, optim.state_dict() will be used. ( 2025-08-26T19:58:36.1173732Z Default: ``None``) 2025-08-26T19:58:36.1173967Z group (dist.ProcessGroup): Model's process group across which parameters 2025-08-26T19:58:36.1174170Z are sharded or ``None`` if using the default process group. ( 2025-08-26T19:58:36.1174270Z Default: ``None``) 2025-08-26T19:58:36.1174351Z 2025-08-26T19:58:36.1174450Z Returns: 2025-08-26T19:58:36.1174639Z Dict[str, Any]: A :class:`dict` containing the optimizer state for 2025-08-26T19:58:36.1174818Z ``model``. The sharding of the optimizer state is based on 2025-08-26T19:58:36.1174915Z ``state_dict_type``. 2025-08-26T19:58:36.1174997Z 2025-08-26T19:58:36.1175262Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1175343Z 2025-08-26T19:58:36.1175458Z warnings.warn(msg) 2025-08-26T19:58:36.1175537Z 2025-08-26T19:58:36.1175730Z --- Parse Warning: 78 / 146 --- 2025-08-26T19:58:36.1176964Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1903. 2025-08-26T19:58:36.1177282Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1177379Z 2025-08-26T19:58:36.1177734Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model. 2025-08-26T19:58:36.1177817Z 2025-08-26T19:58:36.1178008Z Given a ``optim_state_dict`` that is transformed through 2025-08-26T19:58:36.1178223Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer 2025-08-26T19:58:36.1178450Z state_dict that can be loaded to ``optim`` which is the optimizer for 2025-08-26T19:58:36.1178639Z ``model``. ``model`` must be sharded by FullyShardedDataParallel. 2025-08-26T19:58:36.1178721Z 2025-08-26T19:58:36.1178868Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:36.1179109Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-26T19:58:36.1179314Z >>> from torch.distributed.fsdp import StateDictType 2025-08-26T19:58:36.1179492Z >>> from torch.distributed.fsdp import FullStateDictConfig 2025-08-26T19:58:36.1179694Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2025-08-26T19:58:36.1179809Z >>> # Save a checkpoint 2025-08-26T19:58:36.1179910Z >>> model, optim = ... 2025-08-26T19:58:36.1180037Z >>> FSDP.set_state_dict_type( 2025-08-26T19:58:36.1180125Z >>> model, 2025-08-26T19:58:36.1180246Z >>> StateDictType.FULL_STATE_DICT, 2025-08-26T19:58:36.1180396Z >>> FullStateDictConfig(rank0_only=False), 2025-08-26T19:58:36.1180542Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-26T19:58:36.1180641Z >>> ) 2025-08-26T19:58:36.1180754Z >>> state_dict = model.state_dict() 2025-08-26T19:58:36.1180872Z >>> original_osd = optim.state_dict() 2025-08-26T19:58:36.1181025Z >>> optim_state_dict = FSDP.optim_state_dict( 2025-08-26T19:58:36.1181114Z >>> model, 2025-08-26T19:58:36.1181218Z >>> optim, 2025-08-26T19:58:36.1181331Z >>> optim_state_dict=original_osd 2025-08-26T19:58:36.1181416Z >>> ) 2025-08-26T19:58:36.1181580Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2025-08-26T19:58:36.1181679Z >>> # Load a checkpoint 2025-08-26T19:58:36.1181823Z >>> model, optim = ... 2025-08-26T19:58:36.1181978Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2025-08-26T19:58:36.1182087Z >>> FSDP.set_state_dict_type( 2025-08-26T19:58:36.1182191Z >>> model, 2025-08-26T19:58:36.1182310Z >>> StateDictType.FULL_STATE_DICT, 2025-08-26T19:58:36.1182441Z >>> FullStateDictConfig(rank0_only=False), 2025-08-26T19:58:36.1182594Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-26T19:58:36.1182678Z >>> ) 2025-08-26T19:58:36.1182812Z >>> model.load_state_dict(state_dict) 2025-08-26T19:58:36.1182965Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2025-08-26T19:58:36.1183083Z >>> model, optim, optim_state_dict 2025-08-26T19:58:36.1183177Z >>> ) 2025-08-26T19:58:36.1183306Z >>> optim.load_state_dict(optim_state_dict) 2025-08-26T19:58:36.1183404Z 2025-08-26T19:58:36.1183488Z Args: 2025-08-26T19:58:36.1183686Z model (torch.nn.Module): Root module (which may or may not be a 2025-08-26T19:58:36.1183903Z :class:`FullyShardedDataParallel` instance) whose parameters 2025-08-26T19:58:36.1184035Z were passed into the optimizer ``optim``. 2025-08-26T19:58:36.1184236Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2025-08-26T19:58:36.1184327Z parameters. 2025-08-26T19:58:36.1184538Z optim_state_dict (Dict[str, Any]): The optimizer states to be loaded. 2025-08-26T19:58:36.1184750Z is_named_optimizer (bool): Is this optimizer a NamedOptimizer or 2025-08-26T19:58:36.1185008Z KeyedOptimizer. Only set to True if ``optim`` is TorchRec's 2025-08-26T19:58:36.1185198Z KeyedOptimizer or torch.distributed's NamedOptimizer. 2025-08-26T19:58:36.1185391Z load_directly (bool): If this is set to True, this API will also 2025-08-26T19:58:36.1185589Z call optim.load_state_dict(result) before returning the result. 2025-08-26T19:58:36.1185825Z Otherwise, users are responsible to call ``optim.load_state_dict()`` 2025-08-26T19:58:36.1185924Z (Default: ``False``) 2025-08-26T19:58:36.1186176Z group (dist.ProcessGroup): Model's process group across which parameters 2025-08-26T19:58:36.1186359Z are sharded or ``None`` if using the default process group. ( 2025-08-26T19:58:36.1186452Z Default: ``None``) 2025-08-26T19:58:36.1186547Z 2025-08-26T19:58:36.1186798Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1186897Z 2025-08-26T19:58:36.1187021Z warnings.warn(msg) 2025-08-26T19:58:36.1187100Z 2025-08-26T19:58:36.1187310Z --- Parse Warning: 79 / 146 --- 2025-08-26T19:58:36.1188320Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.__init__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=129. 2025-08-26T19:58:36.1188600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1188683Z 2025-08-26T19:58:36.1188908Z RemoteModule instance can only be created after RPC initialization. 2025-08-26T19:58:36.1189005Z 2025-08-26T19:58:36.1189199Z It creates a user-specified module on a specified remote node. 2025-08-26T19:58:36.1189446Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2025-08-26T19:58:36.1189555Z executed on the remote node. 2025-08-26T19:58:36.1189834Z It takes care of autograd recording to ensure the backward pass propagates 2025-08-26T19:58:36.1190011Z gradients back to the corresponding remote module. 2025-08-26T19:58:36.1190367Z It can be shared across processors using `RPC framework `__, 2025-08-26T19:58:36.1190585Z without incurring any overheads of copying the actual module, 2025-08-26T19:58:36.1190815Z which is equivalent to an :class:`~torch.distributed.rpc.RRef` 2025-08-26T19:58:36.1190938Z pointing to the remote module. 2025-08-26T19:58:36.1191018Z 2025-08-26T19:58:36.1191215Z The arguments of ``forward_async`` and ``forward`` are the same as 2025-08-26T19:58:36.1191431Z the ``forward`` method of the module returned by the ``module_cls``. 2025-08-26T19:58:36.1191512Z 2025-08-26T19:58:36.1191825Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now. 2025-08-26T19:58:36.1191923Z 2025-08-26T19:58:36.1192174Z Particularly, to create a hybrid model, typically the local modules should be 2025-08-26T19:58:36.1192566Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``). 2025-08-26T19:58:36.1192659Z Hybrid Example: 2025-08-26T19:58:36.1192776Z >>> class HybridModel(nn.Module): 2025-08-26T19:58:36.1192902Z >>> def __init__(self) -> None: 2025-08-26T19:58:36.1193017Z >>> nn.Module.__init__(self) 2025-08-26T19:58:36.1193261Z >>> self.remote_embedding = RemoteModule(...) 2025-08-26T19:58:36.1193390Z >>> self.local_linear = nn.Linear(...) 2025-08-26T19:58:36.1193474Z 2025-08-26T19:58:36.1193692Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2025-08-26T19:58:36.1193946Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``, 2025-08-26T19:58:36.1194206Z the generated ``RemoteModule`` will have 2 methods in signature of 2025-08-26T19:58:36.1194369Z ``def forward(input: Tensor) -> Tensor:`` and 2025-08-26T19:58:36.1194539Z ``def forward_async(input: Tensor) -> Future[Tensor]:``. 2025-08-26T19:58:36.1194639Z 2025-08-26T19:58:36.1194730Z .. note:: 2025-08-26T19:58:36.1194886Z If the remote module is placed on a cuda device, 2025-08-26T19:58:36.1195126Z any input CPU tensors will be automatically moved to the same cuda device, 2025-08-26T19:58:36.1195524Z and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend. 2025-08-26T19:58:36.1195620Z 2025-08-26T19:58:36.1195704Z Args: 2025-08-26T19:58:36.1196010Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-08-26T19:58:36.1196300Z The device can be a local device or a remote device specified by one of the following remote 2025-08-26T19:58:36.1196395Z formats: 2025-08-26T19:58:36.1196498Z 2025-08-26T19:58:36.1196664Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2025-08-26T19:58:36.1196829Z 2. "/" (ex: "trainer0/cuda:0"). 2025-08-26T19:58:36.1196908Z 2025-08-26T19:58:36.1197156Z In addition, the device field can be optional and the default value is "cpu". 2025-08-26T19:58:36.1197287Z module_cls (nn.Module): For example, 2025-08-26T19:58:36.1197398Z >>> class MyModule(nn.Module): 2025-08-26T19:58:36.1197516Z >>> def forward(input): 2025-08-26T19:58:36.1197617Z >>> return input + 1 2025-08-26T19:58:36.1197699Z >>> 2025-08-26T19:58:36.1197812Z >>> module_cls = MyModule 2025-08-26T19:58:36.1198011Z args (Sequence, optional): args to be passed to ``module_cls``. 2025-08-26T19:58:36.1198215Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2025-08-26T19:58:36.1198496Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2025-08-26T19:58:36.1198730Z to be created. The type object should be decorated by @torch.jit.interface. 2025-08-26T19:58:36.1198962Z If not provided, the generated RemoteModule is not torchscript-able. 2025-08-26T19:58:36.1199197Z Warning, this is an experimental API and susceptible to frequent changes. 2025-08-26T19:58:36.1199290Z 2025-08-26T19:58:36.1199443Z Returns: 2025-08-26T19:58:36.1199688Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-08-26T19:58:36.1199929Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2025-08-26T19:58:36.1200199Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-08-26T19:58:36.1200356Z on the user-provided module on the remote side. 2025-08-26T19:58:36.1200438Z 2025-08-26T19:58:36.1200529Z Example:: 2025-08-26T19:58:36.1200705Z Run the following code in two different processes: 2025-08-26T19:58:36.1200786Z 2025-08-26T19:58:36.1200918Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:36.1201011Z >>> # On worker 0: 2025-08-26T19:58:36.1201103Z >>> import torch 2025-08-26T19:58:36.1201246Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:36.1201354Z >>> from torch import nn, Tensor 2025-08-26T19:58:36.1201591Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-08-26T19:58:36.1201677Z >>> 2025-08-26T19:58:36.1201817Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-26T19:58:36.1201950Z >>> remote_linear_module = RemoteModule( 2025-08-26T19:58:36.1202076Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-08-26T19:58:36.1202173Z >>> ) 2025-08-26T19:58:36.1202280Z >>> input = torch.randn(128, 20) 2025-08-26T19:58:36.1202434Z >>> ret_fut = remote_linear_module.forward_async(input) 2025-08-26T19:58:36.1202607Z >>> ret = ret_fut.wait() 2025-08-26T19:58:36.1202705Z >>> rpc.shutdown() 2025-08-26T19:58:36.1202784Z 2025-08-26T19:58:36.1202888Z >>> # On worker 1: 2025-08-26T19:58:36.1202979Z >>> import torch 2025-08-26T19:58:36.1203121Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:36.1203204Z >>> 2025-08-26T19:58:36.1203343Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-26T19:58:36.1203455Z >>> rpc.shutdown() 2025-08-26T19:58:36.1203534Z 2025-08-26T19:58:36.1203806Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1203888Z 2025-08-26T19:58:36.1203983Z warnings.warn(msg) 2025-08-26T19:58:36.1204076Z 2025-08-26T19:58:36.1204286Z --- Parse Warning: 80 / 146 --- 2025-08-26T19:58:36.1205403Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=506. 2025-08-26T19:58:36.1205674Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1205756Z 2025-08-26T19:58:36.1206095Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef. 2025-08-26T19:58:36.1206176Z 2025-08-26T19:58:36.1206517Z This alternate initialization method can be particularly useful if we want to create multiple 2025-08-26T19:58:36.1206834Z RemoteModule instances that share the same underlying module and reduce memory consumption. 2025-08-26T19:58:36.1206914Z 2025-08-26T19:58:36.1207206Z Moreover, this also provides a workaround for passing script RemoteModule over RPC, 2025-08-26T19:58:36.1207383Z which is not supported. The recommended way is as follows: 2025-08-26T19:58:36.1207477Z 2025-08-26T19:58:36.1207597Z 1. the sender creates a RemoteModule; 2025-08-26T19:58:36.1207742Z 2. the sender sends its ``module_rref`` over RPC; 2025-08-26T19:58:36.1208096Z 3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``. 2025-08-26T19:58:36.1208177Z 2025-08-26T19:58:36.1208278Z Example:: 2025-08-26T19:58:36.1208431Z Run the following code in two different processes: 2025-08-26T19:58:36.1208510Z 2025-08-26T19:58:36.1208672Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:36.1208766Z >>> # On worker 0: 2025-08-26T19:58:36.1208879Z >>> import torch 2025-08-26T19:58:36.1209008Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:36.1209117Z >>> from torch import nn, Tensor 2025-08-26T19:58:36.1209357Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-08-26T19:58:36.1209443Z >>> 2025-08-26T19:58:36.1209599Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-26T19:58:36.1209722Z >>> remote_module = RemoteModule( 2025-08-26T19:58:36.1209851Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-08-26T19:58:36.1209955Z >>> ) 2025-08-26T19:58:36.1210041Z >>> 2025-08-26T19:58:36.1210155Z >>> remote_module1 = rpc.rpc_sync( 2025-08-26T19:58:36.1210269Z >>> "worker1/cpu", 2025-08-26T19:58:36.1210395Z >>> RemoteModule.init_from_module_rref, 2025-08-26T19:58:36.1210572Z >>> ("worker1/cpu", remote_module1.get_module_rref()), 2025-08-26T19:58:36.1210659Z >>> ) 2025-08-26T19:58:36.1210757Z >>> rpc.shutdown() 2025-08-26T19:58:36.1210855Z 2025-08-26T19:58:36.1210947Z >>> # On worker 1: 2025-08-26T19:58:36.1211061Z >>> import torch 2025-08-26T19:58:36.1211188Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:36.1211273Z >>> 2025-08-26T19:58:36.1211431Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-26T19:58:36.1211554Z >>> rpc.shutdown() 2025-08-26T19:58:36.1211676Z 2025-08-26T19:58:36.1211763Z Args: 2025-08-26T19:58:36.1212062Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-08-26T19:58:36.1212370Z The device can be a local device or a remote device specified by one of the following remote 2025-08-26T19:58:36.1212461Z formats: 2025-08-26T19:58:36.1212561Z 2025-08-26T19:58:36.1212705Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2025-08-26T19:58:36.1212857Z 2. "/" (ex: "trainer0/cuda:0"). 2025-08-26T19:58:36.1212953Z 2025-08-26T19:58:36.1213198Z In addition, the device field can be optional and the default value is "cpu". 2025-08-26T19:58:36.1213463Z module_rref (RRef[nn.Module]): The module reference shared by both the caller and 2025-08-26T19:58:36.1213573Z the created remote module. 2025-08-26T19:58:36.1213881Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2025-08-26T19:58:36.1214132Z to be created. The type object should be decorated by @torch.jit.interface. 2025-08-26T19:58:36.1214351Z If not provided, the generated RemoteModule is not torchscript-able. 2025-08-26T19:58:36.1214602Z Warning, this is an experimental API and susceptible to frequent changes. 2025-08-26T19:58:36.1214682Z 2025-08-26T19:58:36.1214771Z Returns: 2025-08-26T19:58:36.1215026Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-08-26T19:58:36.1215263Z user-provided ``module_rref``, it has a blocking ``forward`` method and an 2025-08-26T19:58:36.1215544Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-08-26T19:58:36.1215688Z on the user-provided module on the remote side. 2025-08-26T19:58:36.1215768Z 2025-08-26T19:58:36.1216038Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1216119Z 2025-08-26T19:58:36.1216228Z warnings.warn(msg) 2025-08-26T19:58:36.1216307Z 2025-08-26T19:58:36.1216501Z --- Parse Warning: 81 / 146 --- 2025-08-26T19:58:36.1217539Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RemoteModule in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=598. 2025-08-26T19:58:36.1217802Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1217899Z 2025-08-26T19:58:36.1218129Z A RemoteModule instance can only be created after RPC initialization. 2025-08-26T19:58:36.1218209Z 2025-08-26T19:58:36.1218418Z It creates a user-specified module on a specified remote node. 2025-08-26T19:58:36.1218652Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2025-08-26T19:58:36.1218781Z executed on the remote node. 2025-08-26T19:58:36.1219019Z It takes care of autograd recording to ensure the backward pass propagates 2025-08-26T19:58:36.1219176Z gradients back to the corresponding remote module. 2025-08-26T19:58:36.1219269Z 2025-08-26T19:58:36.1219488Z It generates two methods ``forward_async`` and ``forward`` based on the 2025-08-26T19:58:36.1219721Z signature of the ``forward`` method of ``module_cls``. ``forward_async`` 2025-08-26T19:58:36.1219974Z runs asynchronously and returns a Future. The arguments of ``forward_async`` 2025-08-26T19:58:36.1220170Z and ``forward`` are the same as the ``forward`` method of the module 2025-08-26T19:58:36.1220293Z returned by the ``module_cls``. 2025-08-26T19:58:36.1220373Z 2025-08-26T19:58:36.1220586Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2025-08-26T19:58:36.1220863Z that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``, 2025-08-26T19:58:36.1221117Z the generated ``RemoteModule`` will have 2 methods with the signatures: 2025-08-26T19:58:36.1221213Z 2025-08-26T19:58:36.1221339Z | ``def forward(input: Tensor) -> Tensor:`` 2025-08-26T19:58:36.1221522Z | ``def forward_async(input: Tensor) -> Future[Tensor]:`` 2025-08-26T19:58:36.1221604Z 2025-08-26T19:58:36.1221687Z Args: 2025-08-26T19:58:36.1222000Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-08-26T19:58:36.1222343Z The format should be "/", where the device field can be parsed as torch.device type. 2025-08-26T19:58:36.1222500Z E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0". 2025-08-26T19:58:36.1222746Z In addition, the device field can be optional and the default value is "cpu". 2025-08-26T19:58:36.1222993Z module_cls (nn.Module): Class for the module to be created remotely. For example, 2025-08-26T19:58:36.1223120Z 2025-08-26T19:58:36.1223233Z >>> class MyModule(nn.Module): 2025-08-26T19:58:36.1223353Z >>> def forward(input): 2025-08-26T19:58:36.1223456Z >>> return input + 1 2025-08-26T19:58:36.1223538Z >>> 2025-08-26T19:58:36.1223653Z >>> module_cls = MyModule 2025-08-26T19:58:36.1223733Z 2025-08-26T19:58:36.1223947Z args (Sequence, optional): args to be passed to ``module_cls``. 2025-08-26T19:58:36.1224138Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2025-08-26T19:58:36.1224220Z 2025-08-26T19:58:36.1224319Z Returns: 2025-08-26T19:58:36.1224562Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-08-26T19:58:36.1224805Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2025-08-26T19:58:36.1225078Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-08-26T19:58:36.1225226Z on the user-provided module on the remote side. 2025-08-26T19:58:36.1225322Z 2025-08-26T19:58:36.1225414Z Example:: 2025-08-26T19:58:36.1225582Z Run the following code in two different processes: 2025-08-26T19:58:36.1225663Z 2025-08-26T19:58:36.1225779Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:36.1225886Z >>> # On worker 0: 2025-08-26T19:58:36.1225978Z >>> import torch 2025-08-26T19:58:36.1226133Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:36.1226255Z >>> from torch import nn, Tensor 2025-08-26T19:58:36.1226476Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-08-26T19:58:36.1226574Z >>> 2025-08-26T19:58:36.1226713Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-26T19:58:36.1226834Z >>> remote_linear_module = RemoteModule( 2025-08-26T19:58:36.1226976Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-08-26T19:58:36.1227062Z >>> ) 2025-08-26T19:58:36.1227187Z >>> input = torch.randn(128, 20) 2025-08-26T19:58:36.1227341Z >>> ret_fut = remote_linear_module.forward_async(input) 2025-08-26T19:58:36.1227441Z >>> ret = ret_fut.wait() 2025-08-26T19:58:36.1227551Z >>> rpc.shutdown() 2025-08-26T19:58:36.1227630Z 2025-08-26T19:58:36.1227735Z >>> # On worker 1: 2025-08-26T19:58:36.1227824Z >>> import torch 2025-08-26T19:58:36.1227953Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:36.1228050Z >>> 2025-08-26T19:58:36.1228187Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-26T19:58:36.1228280Z >>> rpc.shutdown() 2025-08-26T19:58:36.1228377Z 2025-08-26T19:58:36.1228569Z Furthermore, a more practical example that is combined with 2025-08-26T19:58:36.1229062Z `DistributedDataParallel `__ (DDP) 2025-08-26T19:58:36.1229423Z can be found in this `tutorial `__. 2025-08-26T19:58:36.1229543Z 2025-08-26T19:58:36.1229795Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1229876Z 2025-08-26T19:58:36.1229985Z warnings.warn(msg) 2025-08-26T19:58:36.1230064Z 2025-08-26T19:58:36.1230258Z --- Parse Warning: 82 / 146 --- 2025-08-26T19:58:36.1231279Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/optimizer.py line=129. 2025-08-26T19:58:36.1231544Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1231640Z 2025-08-26T19:58:36.1231880Z DistributedOptimizer takes remote references to parameters scattered 2025-08-26T19:58:36.1232164Z across workers and applies the given optimizer locally for each parameter. 2025-08-26T19:58:36.1232246Z 2025-08-26T19:58:36.1232479Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order 2025-08-26T19:58:36.1232652Z to retrieve the gradients for specific parameters. 2025-08-26T19:58:36.1232732Z 2025-08-26T19:58:36.1232827Z Concurrent calls to 2025-08-26T19:58:36.1233140Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`, 2025-08-26T19:58:36.1233291Z either from the same or different clients, will 2025-08-26T19:58:36.1233529Z be serialized on each worker -- as each worker's optimizer can only work 2025-08-26T19:58:36.1233734Z on one set of gradients at a time. However, there is no guarantee that 2025-08-26T19:58:36.1233998Z the full forward-backward-optimizer sequence will execute for one client 2025-08-26T19:58:36.1234213Z at a time. This means that the gradients being applied may not correspond 2025-08-26T19:58:36.1234437Z to the latest forward pass executed on a given worker. Also, there is no 2025-08-26T19:58:36.1234570Z guaranteed ordering across workers. 2025-08-26T19:58:36.1234650Z 2025-08-26T19:58:36.1234930Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled 2025-08-26T19:58:36.1235158Z by default, so that optimizer updates are not blocked by the Python Global 2025-08-26T19:58:36.1235435Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed 2025-08-26T19:58:36.1235693Z Model Parallel). This feature is currently enabled for most optimizers. You 2025-08-26T19:58:36.1235945Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support 2025-08-26T19:58:36.1236069Z for your own custom optimizers. 2025-08-26T19:58:36.1236210Z 2025-08-26T19:58:36.1236294Z Args: 2025-08-26T19:58:36.1236507Z optimizer_class (optim.Optimizer): the class of optimizer to 2025-08-26T19:58:36.1236618Z instantiate on each worker. 2025-08-26T19:58:36.1236848Z params_rref (list[RRef]): list of RRefs to local or remote parameters 2025-08-26T19:58:36.1236945Z to optimize. 2025-08-26T19:58:36.1237159Z args: arguments to pass to the optimizer constructor on each worker. 2025-08-26T19:58:36.1237395Z kwargs: arguments to pass to the optimizer constructor on each worker. 2025-08-26T19:58:36.1237477Z 2025-08-26T19:58:36.1237586Z Example:: 2025-08-26T19:58:36.1237705Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:36.1237869Z >>> import torch.distributed.autograd as dist_autograd 2025-08-26T19:58:36.1238009Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:36.1238112Z >>> from torch import optim 2025-08-26T19:58:36.1238299Z >>> from torch.distributed.optim import DistributedOptimizer 2025-08-26T19:58:36.1238395Z >>> 2025-08-26T19:58:36.1238528Z >>> with dist_autograd.context() as context_id: 2025-08-26T19:58:36.1238671Z >>> # Forward pass. 2025-08-26T19:58:36.1238897Z >>> rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3)) 2025-08-26T19:58:36.1239092Z >>> rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1)) 2025-08-26T19:58:36.1239236Z >>> loss = rref1.to_here() + rref2.to_here() 2025-08-26T19:58:36.1239319Z >>> 2025-08-26T19:58:36.1239430Z >>> # Backward pass. 2025-08-26T19:58:36.1239585Z >>> dist_autograd.backward(context_id, [loss.sum()]) 2025-08-26T19:58:36.1239667Z >>> 2025-08-26T19:58:36.1239778Z >>> # Optimizer. 2025-08-26T19:58:36.1239904Z >>> dist_optim = DistributedOptimizer( 2025-08-26T19:58:36.1240013Z >>> optim.SGD, 2025-08-26T19:58:36.1240119Z >>> [rref1, rref2], 2025-08-26T19:58:36.1240206Z >>> lr=0.05, 2025-08-26T19:58:36.1240306Z >>> ) 2025-08-26T19:58:36.1240419Z >>> dist_optim.step(context_id) 2025-08-26T19:58:36.1240522Z 2025-08-26T19:58:36.1240737Z __ https://github.com/pytorch/tutorials/pull/1465 2025-08-26T19:58:36.1240821Z 2025-08-26T19:58:36.1241091Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1241175Z 2025-08-26T19:58:36.1241273Z warnings.warn(msg) 2025-08-26T19:58:36.1241372Z 2025-08-26T19:58:36.1241572Z --- Parse Warning: 83 / 146 --- 2025-08-26T19:58:36.1242671Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PostLocalSGDOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9. 2025-08-26T19:58:36.1242935Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1243032Z 2025-08-26T19:58:36.1243425Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD `_, 2025-08-26T19:58:36.1243585Z This optimizer runs local optimizer at every step. 2025-08-26T19:58:36.1243943Z After the warm-up stage, it averages parameters periodically after the local optimizer is applied. 2025-08-26T19:58:36.1244025Z 2025-08-26T19:58:36.1244126Z Args: 2025-08-26T19:58:36.1244237Z optim: The local optimizer. 2025-08-26T19:58:36.1244460Z averager: A model averager instance to run post-localSGD algorithm. 2025-08-26T19:58:36.1244559Z 2025-08-26T19:58:36.1244677Z Example:: 2025-08-26T19:58:36.1244761Z 2025-08-26T19:58:36.1244910Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:36.1245007Z >>> import torch 2025-08-26T19:58:36.1245143Z >>> import torch.distributed as dist 2025-08-26T19:58:36.1245417Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2025-08-26T19:58:36.1245524Z >>> import torch.nn as nn 2025-08-26T19:58:36.1245733Z >>> from torch.distributed.optim import PostLocalSGDOptimizer 2025-08-26T19:58:36.1246010Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2025-08-26T19:58:36.1246132Z >>> PostLocalSGDState, 2025-08-26T19:58:36.1246235Z >>> post_localSGD_hook, 2025-08-26T19:58:36.1246317Z >>> ) 2025-08-26T19:58:36.1246419Z >>> 2025-08-26T19:58:36.1246572Z >>> model = nn.parallel.DistributedDataParallel( 2025-08-26T19:58:36.1246732Z >>> module, device_ids=[rank], output_device=rank 2025-08-26T19:58:36.1246813Z >>> ) 2025-08-26T19:58:36.1246892Z >>> 2025-08-26T19:58:36.1247048Z >>> # Register a post-localSGD communication hook. 2025-08-26T19:58:36.1247343Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2025-08-26T19:58:36.1247518Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-08-26T19:58:36.1247599Z >>> 2025-08-26T19:58:36.1247799Z >>> # Create a post-localSGD optimizer that wraps a local optimizer. 2025-08-26T19:58:36.1248114Z >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as 2025-08-26T19:58:36.1248279Z >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-08-26T19:58:36.1248504Z >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01) 2025-08-26T19:58:36.1248619Z >>> opt = PostLocalSGDOptimizer( 2025-08-26T19:58:36.1248723Z >>> optim=local_optim, 2025-08-26T19:58:36.1248982Z >>> averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2025-08-26T19:58:36.1249064Z >>> ) 2025-08-26T19:58:36.1249163Z >>> 2025-08-26T19:58:36.1249387Z >>> # In the first 100 steps, DDP runs global gradient averaging at every step. 2025-08-26T19:58:36.1249688Z >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default), 2025-08-26T19:58:36.1250118Z >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer. 2025-08-26T19:58:36.1250230Z >>> for step in range(0, 200): 2025-08-26T19:58:36.1250341Z >>> opt.zero_grad() 2025-08-26T19:58:36.1250456Z >>> loss = loss_fn(output, labels) 2025-08-26T19:58:36.1250552Z >>> loss.backward() 2025-08-26T19:58:36.1250657Z >>> opt.step() 2025-08-26T19:58:36.1250738Z 2025-08-26T19:58:36.1251011Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1251091Z 2025-08-26T19:58:36.1251187Z warnings.warn(msg) 2025-08-26T19:58:36.1251283Z 2025-08-26T19:58:36.1251477Z --- Parse Warning: 84 / 146 --- 2025-08-26T19:58:36.1252596Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284. 2025-08-26T19:58:36.1252864Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1252949Z 2025-08-26T19:58:36.1253376Z Wrap an arbitrary :class:`optim.Optimizer ` and shards its states across ranks in the group. 2025-08-26T19:58:36.1253456Z 2025-08-26T19:58:36.1253717Z The sharing is done as described by `ZeRO `_. 2025-08-26T19:58:36.1253801Z 2025-08-26T19:58:36.1253975Z The local optimizer instance in each rank is only 2025-08-26T19:58:36.1254236Z responsible for updating approximately ``1 / world_size`` parameters and 2025-08-26T19:58:36.1254436Z hence only needs to keep ``1 / world_size`` optimizer states. After 2025-08-26T19:58:36.1254841Z parameters are updated locally, each rank will broadcast its parameters to 2025-08-26T19:58:36.1255026Z all other peers to keep all model replicas in the same state. 2025-08-26T19:58:36.1255225Z ``ZeroRedundancyOptimizer`` can be used in conjunction with 2025-08-26T19:58:36.1255504Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak 2025-08-26T19:58:36.1266680Z memory consumption. 2025-08-26T19:58:36.1266818Z 2025-08-26T19:58:36.1267107Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number 2025-08-26T19:58:36.1267347Z of parameters at each rank. Each parameter belongs to a single rank and is 2025-08-26T19:58:36.1267614Z not divided among ranks. The partition is arbitrary and might not match the 2025-08-26T19:58:36.1267747Z the parameter registration or usage order. 2025-08-26T19:58:36.1267840Z 2025-08-26T19:58:36.1267927Z Arguments: 2025-08-26T19:58:36.1268121Z params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s 2025-08-26T19:58:36.1268322Z or :class:`dict` s giving all parameters, which will be sharded 2025-08-26T19:58:36.1268418Z across ranks. 2025-08-26T19:58:36.1268664Z 2025-08-26T19:58:36.1268754Z Keyword Args: 2025-08-26T19:58:36.1269029Z optimizer_class (:class:`torch.nn.Optimizer`): the class of the local 2025-08-26T19:58:36.1269128Z optimizer. 2025-08-26T19:58:36.1269340Z process_group (``ProcessGroup``, optional): ``torch.distributed`` 2025-08-26T19:58:36.1269550Z ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by 2025-08-26T19:58:36.1269701Z :meth:`torch.distributed.init_process_group`). 2025-08-26T19:58:36.1269934Z parameters_as_bucket_view (bool, optional): if ``True``, parameters are 2025-08-26T19:58:36.1270159Z packed into buckets to speed up communication, and ``param.data`` 2025-08-26T19:58:36.1270359Z fields point to bucket views at different offsets; if ``False``, 2025-08-26T19:58:36.1270577Z each individual parameter is communicated separately, and each 2025-08-26T19:58:36.1270730Z ``params.data`` stays intact (default: ``False``). 2025-08-26T19:58:36.1270963Z overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is 2025-08-26T19:58:36.1271179Z overlapped with :class:`DistributedDataParallel` 's gradient 2025-08-26T19:58:36.1271393Z synchronization; this requires (1) either a functional optimizer 2025-08-26T19:58:36.1271589Z for the ``optimizer_class`` argument or one with a functional 2025-08-26T19:58:36.1271766Z equivalent and (2) registering a DDP communication hook 2025-08-26T19:58:36.1271980Z constructed from one of the functions in ``ddp_zero_hook.py``; 2025-08-26T19:58:36.1272148Z parameters are packed into buckets matching those in 2025-08-26T19:58:36.1272305Z :class:`DistributedDataParallel`, meaning that the 2025-08-26T19:58:36.1272467Z ``parameters_as_bucket_view`` argument is ignored. 2025-08-26T19:58:36.1272655Z If ``False``, :meth:`step` runs disjointly after the backward pass 2025-08-26T19:58:36.1272766Z (per normal). 2025-08-26T19:58:36.1272867Z (default: ``False``) 2025-08-26T19:58:36.1273168Z **defaults: any trailing arguments, which are forwarded to the local 2025-08-26T19:58:36.1273276Z optimizer. 2025-08-26T19:58:36.1273357Z 2025-08-26T19:58:36.1273466Z Example:: 2025-08-26T19:58:36.1273551Z 2025-08-26T19:58:36.1273652Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1273772Z >>> import torch.nn as nn 2025-08-26T19:58:36.1274027Z >>> from torch.distributed.optim import ZeroRedundancyOptimizer 2025-08-26T19:58:36.1274232Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2025-08-26T19:58:36.1274471Z >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)]) 2025-08-26T19:58:36.1274592Z >>> ddp = DDP(model, device_ids=[rank]) 2025-08-26T19:58:36.1274725Z >>> opt = ZeroRedundancyOptimizer( 2025-08-26T19:58:36.1274828Z >>> ddp.parameters(), 2025-08-26T19:58:36.1274953Z >>> optimizer_class=torch.optim.Adam, 2025-08-26T19:58:36.1275057Z >>> lr=0.01 2025-08-26T19:58:36.1275141Z >>> ) 2025-08-26T19:58:36.1275263Z >>> ddp(inputs).sum().backward() 2025-08-26T19:58:36.1275356Z >>> opt.step() 2025-08-26T19:58:36.1275438Z 2025-08-26T19:58:36.1275544Z .. warning:: 2025-08-26T19:58:36.1275753Z Currently, ``ZeroRedundancyOptimizer`` requires that all of the 2025-08-26T19:58:36.1275915Z passed-in parameters are the same dense type. 2025-08-26T19:58:36.1275997Z 2025-08-26T19:58:36.1276086Z .. warning:: 2025-08-26T19:58:36.1276313Z If you pass ``overlap_with_ddp=True``, be wary of the following: Given 2025-08-26T19:58:36.1276516Z the way that overlapping :class:`DistributedDataParallel` with 2025-08-26T19:58:36.1276763Z :class:`ZeroRedundancyOptimizer` is currently implemented, the first 2025-08-26T19:58:36.1276976Z two or three training iterations do not perform parameter updates in 2025-08-26T19:58:36.1277196Z the optimizer step, depending on if ``static_graph=False`` or 2025-08-26T19:58:36.1277417Z ``static_graph=True``, respectively. This is because it needs 2025-08-26T19:58:36.1277603Z information about the gradient bucketing strategy used by 2025-08-26T19:58:36.1277831Z :class:`DistributedDataParallel`, which is not finalized until the 2025-08-26T19:58:36.1278032Z second forward pass if ``static_graph=False`` or until the third 2025-08-26T19:58:36.1278237Z forward pass if ``static_graph=True``. To adjust for this, one option 2025-08-26T19:58:36.1278357Z is to prepend dummy inputs. 2025-08-26T19:58:36.1278436Z 2025-08-26T19:58:36.1278703Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change. 2025-08-26T19:58:36.1278784Z 2025-08-26T19:58:36.1279035Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1279125Z 2025-08-26T19:58:36.1279224Z warnings.warn(msg) 2025-08-26T19:58:36.1279343Z 2025-08-26T19:58:36.1279591Z --- Parse Warning: 85 / 146 --- 2025-08-26T19:58:36.1280594Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_CustomReducer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py line=29. 2025-08-26T19:58:36.1280877Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1280957Z 2025-08-26T19:58:36.1281202Z Custom reducer class that can be used to specify a custom operation that 2025-08-26T19:58:36.1281377Z reduces losses of multiple microbatches into one value. 2025-08-26T19:58:36.1281457Z 2025-08-26T19:58:36.1281560Z Example: 2025-08-26T19:58:36.1281657Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1281786Z >>> sum_reducer = _CustomReducer( 2025-08-26T19:58:36.1281885Z >>> torch.tensor(0.0), 2025-08-26T19:58:36.1281983Z >>> lambda a, b: a + b 2025-08-26T19:58:36.1282083Z >>> ) 2025-08-26T19:58:36.1282163Z 2025-08-26T19:58:36.1282416Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1282512Z 2025-08-26T19:58:36.1282609Z warnings.warn(msg) 2025-08-26T19:58:36.1282701Z 2025-08-26T19:58:36.1282889Z --- Parse Warning: 86 / 146 --- 2025-08-26T19:58:36.1283849Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_execution in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/functions.py line=6. 2025-08-26T19:58:36.1284125Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1284206Z 2025-08-26T19:58:36.1284458Z A decorator for a function indicating that the return value of the function 2025-08-26T19:58:36.1284667Z is guaranteed to be a :class:`~torch.futures.Future` object and this 2025-08-26T19:58:36.1284929Z function can run asynchronously on the RPC callee. More specifically, the 2025-08-26T19:58:36.1285165Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped 2025-08-26T19:58:36.1285399Z function and installs subsequent processing steps as a callback to that 2025-08-26T19:58:36.1285644Z :class:`~torch.futures.Future`. The installed callback will read the value 2025-08-26T19:58:36.1285849Z from the :class:`~torch.futures.Future` when completed and send the 2025-08-26T19:58:36.1286042Z value back as the RPC response. That also means the returned 2025-08-26T19:58:36.1286271Z :class:`~torch.futures.Future` only exists on the callee side and is never 2025-08-26T19:58:36.1286492Z sent through RPC. This decorator is useful when the wrapped function's 2025-08-26T19:58:36.1286702Z (``fn``) execution needs to pause and resume due to, e.g., containing 2025-08-26T19:58:36.1286955Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals. 2025-08-26T19:58:36.1287075Z 2025-08-26T19:58:36.1287291Z .. note:: To enable asynchronous execution, applications must pass the 2025-08-26T19:58:36.1287522Z function object returned by this decorator to RPC APIs. If RPC detected 2025-08-26T19:58:36.1287753Z attributes installed by this decorator, it knows that this function 2025-08-26T19:58:36.1287940Z returns a ``Future`` object and will handle that accordingly. 2025-08-26T19:58:36.1288176Z However, this does not mean this decorator has to be outmost one when 2025-08-26T19:58:36.1288400Z defining a function. For example, when combined with ``@staticmethod`` 2025-08-26T19:58:36.1288611Z or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the 2025-08-26T19:58:36.1288846Z inner decorator to allow the target function be recognized as a static 2025-08-26T19:58:36.1289075Z or class function. This target function can still execute asynchronously 2025-08-26T19:58:36.1289347Z because, when accessed, the static or class method preserves attributes 2025-08-26T19:58:36.1289504Z installed by ``@rpc.functions.async_execution``. 2025-08-26T19:58:36.1289600Z 2025-08-26T19:58:36.1289679Z 2025-08-26T19:58:36.1289770Z Example:: 2025-08-26T19:58:36.1289988Z The returned :class:`~torch.futures.Future` object can come from 2025-08-26T19:58:36.1290125Z :meth:`~torch.distributed.rpc.rpc_async`, 2025-08-26T19:58:36.1290352Z :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future` 2025-08-26T19:58:36.1290545Z constructor. The example below shows directly using the 2025-08-26T19:58:36.1290678Z :class:`~torch.futures.Future` returned by 2025-08-26T19:58:36.1290815Z :meth:`~torch.futures.Future.then`. 2025-08-26T19:58:36.1290897Z 2025-08-26T19:58:36.1291019Z >>> from torch.distributed import rpc 2025-08-26T19:58:36.1291116Z >>> 2025-08-26T19:58:36.1291233Z >>> # omitting setup and shutdown RPC 2025-08-26T19:58:36.1291331Z >>> 2025-08-26T19:58:36.1291426Z >>> # On all workers 2025-08-26T19:58:36.1291542Z >>> @rpc.functions.async_execution 2025-08-26T19:58:36.1291672Z >>> def async_add_chained(to, x, y, z): 2025-08-26T19:58:36.1291865Z >>> # This function runs on "worker1" and returns immediately when 2025-08-26T19:58:36.1292093Z >>> # the callback is installed through the `then(cb)` API. In the 2025-08-26T19:58:36.1292279Z >>> # mean time, the `rpc_async` to "worker2" can run concurrently. 2025-08-26T19:58:36.1292438Z >>> # When the return value of that `rpc_async` arrives at 2025-08-26T19:58:36.1292640Z >>> # "worker1", "worker1" will run the lambda function accordingly 2025-08-26T19:58:36.1292826Z >>> # and set the value for the previously returned `Future`, which 2025-08-26T19:58:36.1293020Z >>> # will then trigger RPC to send the result back to "worker0". 2025-08-26T19:58:36.1293195Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-26T19:58:36.1293306Z >>> lambda fut: fut.wait() + z 2025-08-26T19:58:36.1293405Z >>> ) 2025-08-26T19:58:36.1293486Z >>> 2025-08-26T19:58:36.1293587Z >>> # On worker0 2025-08-26T19:58:36.1293683Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1293779Z >>> ret = rpc.rpc_sync( 2025-08-26T19:58:36.1293882Z >>> "worker1", 2025-08-26T19:58:36.1293981Z >>> async_add_chained, 2025-08-26T19:58:36.1294116Z >>> args=("worker2", torch.ones(2), 1, 1) 2025-08-26T19:58:36.1294197Z >>> ) 2025-08-26T19:58:36.1294311Z >>> print(ret) # prints tensor([3., 3.]) 2025-08-26T19:58:36.1294405Z 2025-08-26T19:58:36.1294631Z When combined with TorchScript decorators, this decorator must be the 2025-08-26T19:58:36.1294734Z outmost one. 2025-08-26T19:58:36.1294840Z 2025-08-26T19:58:36.1294943Z >>> from torch import Tensor 2025-08-26T19:58:36.1295115Z >>> from torch.futures import Future 2025-08-26T19:58:36.1295232Z >>> from torch.distributed import rpc 2025-08-26T19:58:36.1295314Z >>> 2025-08-26T19:58:36.1295441Z >>> # omitting setup and shutdown RPC 2025-08-26T19:58:36.1295521Z >>> 2025-08-26T19:58:36.1295627Z >>> # On all workers 2025-08-26T19:58:36.1295722Z >>> @torch.jit.script 2025-08-26T19:58:36.1295869Z >>> def script_add(x: Tensor, y: Tensor) -> Tensor: 2025-08-26T19:58:36.1295976Z >>> return x + y 2025-08-26T19:58:36.1296053Z >>> 2025-08-26T19:58:36.1296182Z >>> @rpc.functions.async_execution 2025-08-26T19:58:36.1296278Z >>> @torch.jit.script 2025-08-26T19:58:36.1296466Z >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]: 2025-08-26T19:58:36.1296621Z >>> return rpc.rpc_async(to, script_add, (x, y)) 2025-08-26T19:58:36.1296699Z >>> 2025-08-26T19:58:36.1296831Z >>> # On worker0 2025-08-26T19:58:36.1296928Z >>> ret = rpc.rpc_sync( 2025-08-26T19:58:36.1297015Z >>> "worker1", 2025-08-26T19:58:36.1297123Z >>> async_add, 2025-08-26T19:58:36.1297238Z >>> args=("worker2", torch.ones(2), 1) 2025-08-26T19:58:36.1297318Z >>> ) 2025-08-26T19:58:36.1297449Z >>> print(ret) # prints tensor([2., 2.]) 2025-08-26T19:58:36.1297529Z 2025-08-26T19:58:36.1297769Z When combined with static or class method, this decorator must be the 2025-08-26T19:58:36.1297854Z inner one. 2025-08-26T19:58:36.1297934Z 2025-08-26T19:58:36.1298064Z >>> from torch.distributed import rpc 2025-08-26T19:58:36.1298148Z >>> 2025-08-26T19:58:36.1298274Z >>> # omitting setup and shutdown RPC 2025-08-26T19:58:36.1298357Z >>> 2025-08-26T19:58:36.1298449Z >>> # On all workers 2025-08-26T19:58:36.1298576Z >>> class AsyncExecutionClass: 2025-08-26T19:58:36.1298657Z >>> 2025-08-26T19:58:36.1298756Z >>> @staticmethod 2025-08-26T19:58:36.1298888Z >>> @rpc.functions.async_execution 2025-08-26T19:58:36.1299004Z >>> def static_async_add(to, x, y, z): 2025-08-26T19:58:36.1299188Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-26T19:58:36.1299301Z >>> lambda fut: fut.wait() + z 2025-08-26T19:58:36.1299413Z >>> ) 2025-08-26T19:58:36.1299509Z >>> 2025-08-26T19:58:36.1299604Z >>> @classmethod 2025-08-26T19:58:36.1299739Z >>> @rpc.functions.async_execution 2025-08-26T19:58:36.1299863Z >>> def class_async_add(cls, to, x, y, z): 2025-08-26T19:58:36.1299987Z >>> ret_fut = torch.futures.Future() 2025-08-26T19:58:36.1300153Z >>> rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-26T19:58:36.1300301Z >>> lambda fut: ret_fut.set_result(fut.wait() + z) 2025-08-26T19:58:36.1300405Z >>> ) 2025-08-26T19:58:36.1300498Z >>> return ret_fut 2025-08-26T19:58:36.1300582Z >>> 2025-08-26T19:58:36.1300711Z >>> @rpc.functions.async_execution 2025-08-26T19:58:36.1300833Z >>> def bound_async_add(self, to, x, y, z): 2025-08-26T19:58:36.1301010Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-26T19:58:36.1301122Z >>> lambda fut: fut.wait() + z 2025-08-26T19:58:36.1301206Z >>> ) 2025-08-26T19:58:36.1301302Z >>> 2025-08-26T19:58:36.1301389Z >>> # On worker0 2025-08-26T19:58:36.1301499Z >>> ret = rpc.rpc_sync( 2025-08-26T19:58:36.1301586Z >>> "worker1", 2025-08-26T19:58:36.1301721Z >>> AsyncExecutionClass.static_async_add, 2025-08-26T19:58:36.1301852Z >>> args=("worker2", torch.ones(2), 1, 2) 2025-08-26T19:58:36.1301937Z >>> ) 2025-08-26T19:58:36.1302097Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-26T19:58:36.1302208Z >>> 2025-08-26T19:58:36.1302304Z >>> ret = rpc.rpc_sync( 2025-08-26T19:58:36.1302407Z >>> "worker1", 2025-08-26T19:58:36.1302539Z >>> AsyncExecutionClass.class_async_add, 2025-08-26T19:58:36.1302657Z >>> args=("worker2", torch.ones(2), 1, 2) 2025-08-26T19:58:36.1302752Z >>> ) 2025-08-26T19:58:36.1302870Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-26T19:58:36.1302966Z 2025-08-26T19:58:36.1303128Z This decorator also works with RRef helpers, i.e., . 2025-08-26T19:58:36.1303271Z :meth:`torch.distributed.rpc.RRef.rpc_sync`, 2025-08-26T19:58:36.1303440Z :meth:`torch.distributed.rpc.RRef.rpc_async`, and 2025-08-26T19:58:36.1303577Z :meth:`torch.distributed.rpc.RRef.remote`. 2025-08-26T19:58:36.1303669Z 2025-08-26T19:58:36.1303789Z >>> from torch.distributed import rpc 2025-08-26T19:58:36.1303872Z >>> 2025-08-26T19:58:36.1304046Z >>> # reuse the AsyncExecutionClass class above 2025-08-26T19:58:36.1304201Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-08-26T19:58:36.1304426Z >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2) 2025-08-26T19:58:36.1304541Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-26T19:58:36.1304622Z >>> 2025-08-26T19:58:36.1304786Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-08-26T19:58:36.1305020Z >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait() 2025-08-26T19:58:36.1305148Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-26T19:58:36.1305226Z >>> 2025-08-26T19:58:36.1305374Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-08-26T19:58:36.1305618Z >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here() 2025-08-26T19:58:36.1305735Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-26T19:58:36.1305829Z 2025-08-26T19:58:36.1306088Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1306166Z 2025-08-26T19:58:36.1306276Z warnings.warn(msg) 2025-08-26T19:58:36.1306358Z 2025-08-26T19:58:36.1306568Z --- Parse Warning: 87 / 146 --- 2025-08-26T19:58:36.1307700Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/options.py line=113. 2025-08-26T19:58:36.1307965Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1308058Z 2025-08-26T19:58:36.1308261Z Set device mapping between each RPC caller and callee pair. This 2025-08-26T19:58:36.1308456Z function can be called multiple times to incrementally add 2025-08-26T19:58:36.1308571Z device placement configurations. 2025-08-26T19:58:36.1308649Z 2025-08-26T19:58:36.1308747Z Args: 2025-08-26T19:58:36.1308845Z to (str): Callee name. 2025-08-26T19:58:36.1309054Z device_map (Dict of int, str, or torch.device): Device placement 2025-08-26T19:58:36.1309234Z mappings from this worker to the callee. This map must be 2025-08-26T19:58:36.1309322Z invertible. 2025-08-26T19:58:36.1309412Z 2025-08-26T19:58:36.1309503Z Example: 2025-08-26T19:58:36.1309620Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:36.1309727Z >>> # both workers 2025-08-26T19:58:36.1309820Z >>> def add(x, y): 2025-08-26T19:58:36.1309960Z >>> print(x) # tensor([1., 1.], device='cuda:1') 2025-08-26T19:58:36.1310078Z >>> return x + y, (x + y).to(2) 2025-08-26T19:58:36.1310160Z >>> 2025-08-26T19:58:36.1310262Z >>> # on worker 0 2025-08-26T19:58:36.1310396Z >>> options = TensorPipeRpcBackendOptions( 2025-08-26T19:58:36.1310533Z >>> num_worker_threads=8, 2025-08-26T19:58:36.1310691Z >>> device_maps={"worker1": {0: 1}} 2025-08-26T19:58:36.1310821Z >>> # maps worker0's cuda:0 to worker1's cuda:1 2025-08-26T19:58:36.1310920Z >>> ) 2025-08-26T19:58:36.1311052Z >>> options.set_device_map("worker1", {1: 2}) 2025-08-26T19:58:36.1311178Z >>> # maps worker0's cuda:1 to worker1's cuda:2 2025-08-26T19:58:36.1311277Z >>> 2025-08-26T19:58:36.1311374Z >>> rpc.init_rpc( 2025-08-26T19:58:36.1311479Z >>> "worker0", 2025-08-26T19:58:36.1311562Z >>> rank=0, 2025-08-26T19:58:36.1311657Z >>> world_size=2, 2025-08-26T19:58:36.1311796Z >>> backend=rpc.BackendType.TENSORPIPE, 2025-08-26T19:58:36.1311905Z >>> rpc_backend_options=options 2025-08-26T19:58:36.1311990Z >>> ) 2025-08-26T19:58:36.1312084Z >>> 2025-08-26T19:58:36.1312177Z >>> x = torch.ones(2) 2025-08-26T19:58:36.1312352Z >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1)) 2025-08-26T19:58:36.1312570Z >>> # The first argument will be moved to cuda:1 on worker1. When 2025-08-26T19:58:36.1312755Z >>> # sending the return value back, it will follow the invert of 2025-08-26T19:58:36.1312941Z >>> # the device map, and hence will be moved back to cuda:0 and 2025-08-26T19:58:36.1313113Z >>> # cuda:1 on worker0 2025-08-26T19:58:36.1313284Z >>> print(rets[0]) # tensor([2., 2.], device='cuda:0') 2025-08-26T19:58:36.1313426Z >>> print(rets[1]) # tensor([2., 2.], device='cuda:1') 2025-08-26T19:58:36.1313504Z 2025-08-26T19:58:36.1313770Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1313850Z 2025-08-26T19:58:36.1313960Z warnings.warn(msg) 2025-08-26T19:58:36.1314040Z 2025-08-26T19:58:36.1314245Z --- Parse Warning: 88 / 146 --- 2025-08-26T19:58:36.1315377Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_server_process_global_profile in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19. 2025-08-26T19:58:36.1315644Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1315739Z 2025-08-26T19:58:36.1315938Z It has the same API as ``torch.autograd.profiler.profile`` class, 2025-08-26T19:58:36.1316251Z except that it enables profiling on all threads running RPC server request callbacks. 2025-08-26T19:58:36.1316346Z 2025-08-26T19:58:36.1316629Z Context manager that manages autograd profiler state and holds a summary of results. 2025-08-26T19:58:36.1316877Z Under the hood it just records events of functions being executed in C++ and 2025-08-26T19:58:36.1317109Z exposes those events to Python. You can wrap any code into it and it will 2025-08-26T19:58:36.1317239Z only report runtime of PyTorch functions. 2025-08-26T19:58:36.1317521Z Note: profiler is thread local and is automatically propagated into the async tasks 2025-08-26T19:58:36.1317603Z 2025-08-26T19:58:36.1317701Z Args: 2025-08-26T19:58:36.1317972Z enabled (bool, optional): Setting this to False makes this context manager a no-op. 2025-08-26T19:58:36.1318070Z Default: ``True``. 2025-08-26T19:58:36.1318163Z 2025-08-26T19:58:36.1318445Z use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API. 2025-08-26T19:58:36.1318658Z Adds approximately 4us of overhead to each tensor operation. 2025-08-26T19:58:36.1318756Z Default: ``False`` 2025-08-26T19:58:36.1318840Z 2025-08-26T19:58:36.1319080Z record_shapes (bool, optional): If shapes recording is set, information 2025-08-26T19:58:36.1319310Z about input dimensions will be collected. This allows one to see which 2025-08-26T19:58:36.1319537Z dimensions have been used under the hood and further group by them 2025-08-26T19:58:36.1319809Z using prof.key_averages(group_by_input_shape=True). Please note that 2025-08-26T19:58:36.1320030Z shape recording might skew your profiling data. It is recommended to 2025-08-26T19:58:36.1320278Z use separate runs with and without shape recording to validate the timing. 2025-08-26T19:58:36.1320502Z Most likely the skew will be negligible for bottom most events (in a case 2025-08-26T19:58:36.1320728Z of nested function calls). But for higher level functions the total 2025-08-26T19:58:36.1320930Z self cpu time might be artificially increased because of the shape 2025-08-26T19:58:36.1321035Z collection. 2025-08-26T19:58:36.1321108Z 2025-08-26T19:58:36.1321374Z profile_memory (bool, optional): Whether to report memory usage, default: ``False`` 2025-08-26T19:58:36.1321468Z 2025-08-26T19:58:36.1321562Z .. warning:: 2025-08-26T19:58:36.1321796Z Enabling memory profiling incurs additional profiler overhead 2025-08-26T19:58:36.1321891Z 2025-08-26T19:58:36.1321979Z .. warning:: 2025-08-26T19:58:36.1322286Z Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`), 2025-08-26T19:58:36.1322484Z one cannot use the profiler with ``use_cuda = True`` to benchmark 2025-08-26T19:58:36.1322721Z DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading, 2025-08-26T19:58:36.1322903Z please use ``use_cuda = False`` or ``num_workers = 0``. 2025-08-26T19:58:36.1322982Z 2025-08-26T19:58:36.1323081Z Example: 2025-08-26T19:58:36.1323177Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1323268Z >>> # On worker 0: 2025-08-26T19:58:36.1323374Z >>> import torch 2025-08-26T19:58:36.1323501Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:36.1323656Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-26T19:58:36.1323783Z >>> x, y = torch.tensor(1), torch.tensor(2) 2025-08-26T19:58:36.1323903Z >>> outer_profile_rref = rpc.remote( 2025-08-26T19:58:36.1324081Z ... dst_worker_name, rpc._server_process_global_profile 2025-08-26T19:58:36.1324159Z ... ) 2025-08-26T19:58:36.1324301Z >>> outer_profile_rref.rpc_sync().__enter__() 2025-08-26T19:58:36.1324448Z >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y)) 2025-08-26T19:58:36.1324587Z >>> inner_profile_rref = rpc.remote( 2025-08-26T19:58:36.1324761Z ... dst_worker_name, rpc._server_process_global_profile 2025-08-26T19:58:36.1324841Z ... ) 2025-08-26T19:58:36.1324981Z >>> inner_profile_rref.rpc_sync().__enter__() 2025-08-26T19:58:36.1325124Z >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y)) 2025-08-26T19:58:36.1325296Z >>> inner_profile_rref.rpc_sync().__exit__(None, None, None) 2025-08-26T19:58:36.1325485Z >>> outer_profile_rref.rpc_sync().__exit__(None, None, None) 2025-08-26T19:58:36.1325645Z >>> print(inner_profile_rref.rpc_sync().key_averages()) 2025-08-26T19:58:36.1325898Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-26T19:58:36.1326210Z Name Self CPU total % Self CPU total CPU total % CPU total CPU time avg Number of Calls 2025-08-26T19:58:36.1326434Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-26T19:58:36.1326638Z sub 85.06% 76.275us 100.00% 89.667us 89.667us 1 2025-08-26T19:58:36.1326830Z empty 14.94% 13.392us 14.94% 13.392us 13.392us 1 2025-08-26T19:58:36.1327067Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-26T19:58:36.1327175Z Self CPU time total: 89.667us 2025-08-26T19:58:36.1327392Z >>> print(outer_profile_rref.rpc_sync().key_averages()) 2025-08-26T19:58:36.1327642Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-26T19:58:36.1327946Z Name Self CPU total % Self CPU total CPU total % CPU total CPU time avg Number of Calls 2025-08-26T19:58:36.1328184Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-26T19:58:36.1328360Z sub 35.65% 76.275us 41.91% 89.667us 89.667us 1 2025-08-26T19:58:36.1328559Z empty 12.67% 27.101us 12.67% 27.101us 13.551us 2 2025-08-26T19:58:36.1328737Z add 51.68% 110.550us 58.09% 124.259us 124.259us 1 2025-08-26T19:58:36.1328998Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-26T19:58:36.1329112Z Self CPU time total: 213.926us 2025-08-26T19:58:36.1329207Z >>> rpc.shutdown() 2025-08-26T19:58:36.1329299Z 2025-08-26T19:58:36.1329393Z >>> # On worker 1: 2025-08-26T19:58:36.1329519Z >>> import torch.distributed.rpc as rpc 2025-08-26T19:58:36.1329670Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-26T19:58:36.1329829Z >>> # wait for worker 0 to finish work, and then shutdown. 2025-08-26T19:58:36.1329937Z >>> rpc.shutdown() 2025-08-26T19:58:36.1330014Z 2025-08-26T19:58:36.1330269Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1330360Z 2025-08-26T19:58:36.1330455Z warnings.warn(msg) 2025-08-26T19:58:36.1330549Z 2025-08-26T19:58:36.1330744Z --- Parse Warning: 89 / 146 --- 2025-08-26T19:58:36.1331750Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=local_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35. 2025-08-26T19:58:36.1332032Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1332112Z 2025-08-26T19:58:36.1332394Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s 2025-08-26T19:58:36.1332701Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting 2025-08-26T19:58:36.1332982Z the local components of :class:`DTensor`, call the function, and wrap the outputs to 2025-08-26T19:58:36.1333141Z :class:`DTensor` according to the ``out_placements``. 2025-08-26T19:58:36.1333221Z 2025-08-26T19:58:36.1333317Z Args: 2025-08-26T19:58:36.1333523Z func (Callable): the function to be applied on each local shard of 2025-08-26T19:58:36.1333623Z :class:`DTensor` s. 2025-08-26T19:58:36.1333868Z out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]): 2025-08-26T19:58:36.1334124Z the desired placements of the :class:`DTensor` s in ``func``'s flattened output. 2025-08-26T19:58:36.1334384Z If the flattened ``output`` is a single value, the ``out_placements`` should be 2025-08-26T19:58:36.1334631Z of type `PlacementType`. Otherwise if the flattened ``output`` has multiple 2025-08-26T19:58:36.1334892Z values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1 2025-08-26T19:58:36.1335017Z mapping to the flattened ``output``. 2025-08-26T19:58:36.1335222Z Besides, for :class:`Tensor` output, we use `PlacementType` as its 2025-08-26T19:58:36.1335511Z placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType` 2025-08-26T19:58:36.1335608Z should be `None`. 2025-08-26T19:58:36.1335889Z Note that the only exception is when no :class:`DTensor` argument is passed 2025-08-26T19:58:36.1336139Z in. In this case, even if `out_placements` is not `None`, the result function 2025-08-26T19:58:36.1336393Z should ignore the desired placements because the function is not running with 2025-08-26T19:58:36.1336505Z :class:`DTensor` s. 2025-08-26T19:58:36.1336674Z in_placements (Tuple[`PlacementType`, ...], optional): 2025-08-26T19:58:36.1336965Z the required placements of the :class:`DTensor` s in the flattened inputs of ``func``. 2025-08-26T19:58:36.1337198Z If ``in_placements`` is specified, :meth:`local_map` would examine whether the 2025-08-26T19:58:36.1337424Z placements of each :class:`DTensor` argument is the same as the required 2025-08-26T19:58:36.1337619Z placements or not. If the placements are not the same and 2025-08-26T19:58:36.1337866Z ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if 2025-08-26T19:58:36.1338151Z ``redistribute_inputs`` is ``True``, the argument will be first redistributed to 2025-08-26T19:58:36.1338412Z the required sharding placements before passing its local tensor to ``func``. 2025-08-26T19:58:36.1338649Z The only exception is when required placements are not ``None`` and the 2025-08-26T19:58:36.1338890Z argument is a :class:`torch.Tensor`. In this case, the placements examination 2025-08-26T19:58:36.1339109Z will be skipped and the argument will be directly passed to ``func``. 2025-08-26T19:58:36.1339345Z If ``in_placements`` is ``None``, no placements examination will be performed. 2025-08-26T19:58:36.1339442Z Default: None 2025-08-26T19:58:36.1339638Z in_grad_placements (Tuple[`PlacementType`, ...], optional): 2025-08-26T19:58:36.1339846Z the placements hint of the :class:`DTensor` s gradient corresponds 2025-08-26T19:58:36.1340060Z to the flattened input DTensor. This argument is the hint that user 2025-08-26T19:58:36.1340260Z can give to :meth:`to_local` in case the gradient layout of the 2025-08-26T19:58:36.1340474Z local tensor input does not match its :class:`DTensor` input layout. 2025-08-26T19:58:36.1340689Z If not specified, we will assume the gradient layout of the local 2025-08-26T19:58:36.1340908Z tensor input remains the same as the original :class:`DTensor` input 2025-08-26T19:58:36.1341100Z and use that for gradient computation. Default: None. 2025-08-26T19:58:36.1341251Z device_mesh (:class:`DeviceMesh`, optional): 2025-08-26T19:58:36.1341476Z the device mesh that the output :class:`DTensor` s are placed on. If not 2025-08-26T19:58:36.1341740Z specified, this will be inferred from the first input :class:`DTensor`'s device 2025-08-26T19:58:36.1341842Z mesh. Default: None. 2025-08-26T19:58:36.1341921Z 2025-08-26T19:58:36.1342026Z Keyword Args: 2025-08-26T19:58:36.1342154Z redistribute_inputs (bool, optional): 2025-08-26T19:58:36.1342421Z the bool value indicating whether to reshard the input :class:`DTensor` s when 2025-08-26T19:58:36.1342667Z their placements are different from the required input placements. If this 2025-08-26T19:58:36.1342901Z value is ``False`` and some :class:`DTensor` input has a different placement, 2025-08-26T19:58:36.1343055Z an exception will be raised. Default: False. 2025-08-26T19:58:36.1343135Z 2025-08-26T19:58:36.1343236Z Returns: 2025-08-26T19:58:36.1343495Z A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor` 2025-08-26T19:58:36.1343736Z and returns a :class:`DTensor` constructed from the return value of ``func``. 2025-08-26T19:58:36.1343829Z 2025-08-26T19:58:36.1343913Z Raises: 2025-08-26T19:58:36.1344167Z AssertionError: For any non-DTensor output, we require its corresponding 2025-08-26T19:58:36.1344459Z output placement in ``out_placements`` be None. An AssertionError will be raised 2025-08-26T19:58:36.1344594Z if this is not the case. 2025-08-26T19:58:36.1344684Z 2025-08-26T19:58:36.1344945Z ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs 2025-08-26T19:58:36.1345112Z a redistribution according to ``in_placements``. 2025-08-26T19:58:36.1345195Z 2025-08-26T19:58:36.1345283Z Example: 2025-08-26T19:58:36.1345414Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:36.1345552Z >>> def mm_allreduce_forward(device_mesh, W, X): 2025-08-26T19:58:36.1345688Z >>> partial_sum_tensor = torch.mm(W, X) 2025-08-26T19:58:36.1345930Z >>> reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh) 2025-08-26T19:58:36.1346037Z >>> return reduced_tensor 2025-08-26T19:58:36.1346134Z >>> 2025-08-26T19:58:36.1346263Z >>> W = torch.randn(12, 8, requires_grad=False) 2025-08-26T19:58:36.1346432Z >>> X = torch.randn(8, 16, requires_grad=False) 2025-08-26T19:58:36.1346532Z >>> Y = torch.mm(W, X) 2025-08-26T19:58:36.1346719Z >>> row_wise = [Shard(0)] # row-wise sharding placements on 1-d mesh 2025-08-26T19:58:36.1346915Z >>> col_wise = [Shard(1)] # col-wise sharding placements on 1-d mesh 2025-08-26T19:58:36.1346999Z >>> 2025-08-26T19:58:36.1347288Z >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor conversion 2025-08-26T19:58:36.1347412Z >>> local_mm_allreduce_forward = local_map( 2025-08-26T19:58:36.1347516Z >>> mm_allreduce_forward, 2025-08-26T19:58:36.1347646Z >>> out_placements=[Replicate()], 2025-08-26T19:58:36.1347763Z >>> in_placements=[col_wise, row_wise], 2025-08-26T19:58:36.1347880Z >>> device_mesh=device_mesh, 2025-08-26T19:58:36.1347960Z >>> ) 2025-08-26T19:58:36.1348042Z >>> 2025-08-26T19:58:36.1348160Z >>> W_dt = distribute_tensor( 2025-08-26T19:58:36.1348265Z ... W, device_mesh, (col_wise) 2025-08-26T19:58:36.1348391Z ... ) # col-wisely sharded W tensor 2025-08-26T19:58:36.1348492Z >>> X_dt = distribute_tensor( 2025-08-26T19:58:36.1348595Z ... X, device_mesh, (row_wise) 2025-08-26T19:58:36.1348715Z ... ) # row-wisely sharded X tensor 2025-08-26T19:58:36.1348873Z >>> Y_dt = local_mm_allreduce_forward( 2025-08-26T19:58:36.1348976Z ... device_mesh, W_dt, X_dt 2025-08-26T19:58:36.1349135Z ... ) # apply local_mm_allreduce_forward to DTensors 2025-08-26T19:58:36.1349214Z 2025-08-26T19:58:36.1349424Z .. note:: This API is currently experimental and subject to change 2025-08-26T19:58:36.1349505Z 2025-08-26T19:58:36.1349761Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1349859Z 2025-08-26T19:58:36.1349959Z warnings.warn(msg) 2025-08-26T19:58:36.1350057Z 2025-08-26T19:58:36.1350262Z --- Parse Warning: 90 / 146 --- 2025-08-26T19:58:36.1351354Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_sharding in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25. 2025-08-26T19:58:36.1351636Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1351718Z 2025-08-26T19:58:36.1352015Z :meth:`register_sharding` is an experimental API that allows users to register sharding 2025-08-26T19:58:36.1352254Z strategies for an operator when the tensor inputs and outputs are DTensor. 2025-08-26T19:58:36.1352522Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``, 2025-08-26T19:58:36.1352765Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2) 2025-08-26T19:58:36.1353148Z when users would like to overwrite default sharding strategies of existing operators. 2025-08-26T19:58:36.1353279Z 2025-08-26T19:58:36.1353363Z Args: 2025-08-26T19:58:36.1353502Z op (Union[OpOverload, List[OpOverload]]): 2025-08-26T19:58:36.1353695Z An op or a list of ops to register the customized sharding function. 2025-08-26T19:58:36.1353777Z 2025-08-26T19:58:36.1353940Z Returns: 2025-08-26T19:58:36.1354211Z A function decorator which can be used to wrap a function that defines the sharding 2025-08-26T19:58:36.1354499Z strategy for the operator specified in ``op``. The defined sharding strategy will be 2025-08-26T19:58:36.1354928Z registered to DTensor and will override the default sharding strategy if DTensor has 2025-08-26T19:58:36.1355235Z already implemented the operator. The customized sharding function takes the same inputs 2025-08-26T19:58:36.1355490Z as the original op (except that if an arg is a :class:`torch.Tensor`, it will be 2025-08-26T19:58:36.1355839Z replaced by a tensor-like object that DTensor uses internally). The function should 2025-08-26T19:58:36.1356132Z return a sequence of 2-tuples, each specifying acceptable output placements and its 2025-08-26T19:58:36.1356252Z corresponding input placements. 2025-08-26T19:58:36.1356334Z 2025-08-26T19:58:36.1356437Z Example: 2025-08-26T19:58:36.1356558Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:36.1356708Z >>> @register_sharding(aten._softmax.default) 2025-08-26T19:58:36.1356868Z >>> def custom_softmax_sharding(x, dim, half_to_float): 2025-08-26T19:58:36.1357012Z >>> softmax_dim = dim if dim >= 0 else dim + x.ndim 2025-08-26T19:58:36.1357146Z >>> acceptable_shardings = [] 2025-08-26T19:58:36.1357230Z >>> 2025-08-26T19:58:36.1357431Z >>> all_replicate = ([Replicate()], [Replicate(), None, None]) 2025-08-26T19:58:36.1357579Z >>> acceptable_shardings.append(all_replicate) 2025-08-26T19:58:36.1357666Z >>> 2025-08-26T19:58:36.1357797Z >>> for sharding_dim in range(x.ndim): 2025-08-26T19:58:36.1357917Z >>> if sharding_dim != softmax_dim: 2025-08-26T19:58:36.1358029Z >>> all_sharded = ( 2025-08-26T19:58:36.1358138Z >>> [Shard(sharding_dim)], 2025-08-26T19:58:36.1358315Z >>> [Shard(sharding_dim), None, None], 2025-08-26T19:58:36.1358416Z >>> ) 2025-08-26T19:58:36.1358554Z >>> acceptable_shardings.append(all_sharded) 2025-08-26T19:58:36.1358637Z >>> 2025-08-26T19:58:36.1358759Z >>> return acceptable_shardings 2025-08-26T19:58:36.1358841Z 2025-08-26T19:58:36.1359054Z .. note:: This API is currently experimental and subject to change 2025-08-26T19:58:36.1359136Z 2025-08-26T19:58:36.1359391Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1359491Z 2025-08-26T19:58:36.1359591Z warnings.warn(msg) 2025-08-26T19:58:36.1359683Z 2025-08-26T19:58:36.1359887Z --- Parse Warning: 91 / 146 --- 2025-08-26T19:58:36.1360917Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=428. 2025-08-26T19:58:36.1361200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1361280Z 2025-08-26T19:58:36.1361680Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to 2025-08-26T19:58:36.1362005Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``. 2025-08-26T19:58:36.1362105Z 2025-08-26T19:58:36.1362192Z Keyword Args: 2025-08-26T19:58:36.1362435Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-26T19:58:36.1362814Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2025-08-26T19:58:36.1363173Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2025-08-26T19:58:36.1363305Z as a placeholder. default: None. 2025-08-26T19:58:36.1363536Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-26T19:58:36.1363914Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-26T19:58:36.1364317Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2025-08-26T19:58:36.1364447Z input_kwarg_layouts (Dict[str, Placement]): 2025-08-26T19:58:36.1364864Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2025-08-26T19:58:36.1364961Z default: None 2025-08-26T19:58:36.1365122Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2025-08-26T19:58:36.1365506Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-26T19:58:36.1365653Z have the desired DTensor layouts. default: None. 2025-08-26T19:58:36.1365786Z use_local_output (bool, optional): 2025-08-26T19:58:36.1366146Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2025-08-26T19:58:36.1366231Z Returns: 2025-08-26T19:58:36.1366563Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs. 2025-08-26T19:58:36.1366644Z 2025-08-26T19:58:36.1366748Z Example:: 2025-08-26T19:58:36.1366853Z >>> # xdoctest: +SKIP(failing) 2025-08-26T19:58:36.1367167Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput 2025-08-26T19:58:36.1367377Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-08-26T19:58:36.1367458Z >>> ... 2025-08-26T19:58:36.1367779Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-08-26T19:58:36.1367906Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-08-26T19:58:36.1368014Z >>> 2025-08-26T19:58:36.1368369Z >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor 2025-08-26T19:58:36.1368517Z >>> # and then redistributed to Replicated DTensor. 2025-08-26T19:58:36.1368633Z >>> parallelize_module( 2025-08-26T19:58:36.1368771Z >>> block, # this can be a submodule or module 2025-08-26T19:58:36.1368861Z >>> tp_mesh, 2025-08-26T19:58:36.1368976Z >>> parallelize_plan={ 2025-08-26T19:58:36.1369099Z >>> "attn": PrepareModuleInput( 2025-08-26T19:58:36.1369254Z >>> input_layouts=(Shard(0), None, None, ...), 2025-08-26T19:58:36.1369421Z >>> desired_input_layouts=(Replicate(), None, None, ...) 2025-08-26T19:58:36.1369509Z >>> ), 2025-08-26T19:58:36.1369613Z >>> } 2025-08-26T19:58:36.1369695Z >>> ) 2025-08-26T19:58:36.1369790Z 2025-08-26T19:58:36.1370049Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1370130Z 2025-08-26T19:58:36.1370239Z warnings.warn(msg) 2025-08-26T19:58:36.1370320Z 2025-08-26T19:58:36.1370525Z --- Parse Warning: 92 / 146 --- 2025-08-26T19:58:36.1371556Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=597. 2025-08-26T19:58:36.1371851Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1371973Z 2025-08-26T19:58:36.1372372Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to 2025-08-26T19:58:36.1372723Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``. 2025-08-26T19:58:36.1372805Z 2025-08-26T19:58:36.1372896Z Keyword Args: 2025-08-26T19:58:36.1373079Z output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-26T19:58:36.1373417Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2025-08-26T19:58:36.1373815Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2025-08-26T19:58:36.1373961Z ``None`` need to be specified as a placeholder. 2025-08-26T19:58:36.1374199Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-26T19:58:36.1374591Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2025-08-26T19:58:36.1374714Z have the desired DTensor layouts. 2025-08-26T19:58:36.1374845Z use_local_output (bool, optional): 2025-08-26T19:58:36.1375209Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2025-08-26T19:58:36.1375307Z Returns: 2025-08-26T19:58:36.1375603Z A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs. 2025-08-26T19:58:36.1375684Z 2025-08-26T19:58:36.1375789Z Example:: 2025-08-26T19:58:36.1375895Z >>> # xdoctest: +SKIP(failing) 2025-08-26T19:58:36.1376227Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput 2025-08-26T19:58:36.1376422Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-08-26T19:58:36.1376512Z >>> ... 2025-08-26T19:58:36.1376831Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-08-26T19:58:36.1376968Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-08-26T19:58:36.1377058Z >>> 2025-08-26T19:58:36.1377493Z >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor 2025-08-26T19:58:36.1377630Z >>> # and then redistributed to Sharded DTensor. 2025-08-26T19:58:36.1377741Z >>> parallelize_module( 2025-08-26T19:58:36.1377874Z >>> block, # this can be a submodule or module 2025-08-26T19:58:36.1377975Z >>> tp_mesh, 2025-08-26T19:58:36.1378115Z >>> parallelize_plan = PrepareModuleOutput( 2025-08-26T19:58:36.1378233Z >>> output_layouts=Replicate(), 2025-08-26T19:58:36.1378363Z >>> desired_output_layouts=Shard(0) 2025-08-26T19:58:36.1378452Z >>> ) 2025-08-26T19:58:36.1378540Z >>> ) 2025-08-26T19:58:36.1378620Z 2025-08-26T19:58:36.1378876Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1378966Z 2025-08-26T19:58:36.1379065Z warnings.warn(msg) 2025-08-26T19:58:36.1379157Z 2025-08-26T19:58:36.1379348Z --- Parse Warning: 93 / 146 --- 2025-08-26T19:58:36.1380412Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInputOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=705. 2025-08-26T19:58:36.1380690Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1380771Z 2025-08-26T19:58:36.1381218Z Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module 2025-08-26T19:58:36.1381698Z to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution 2025-08-26T19:58:36.1382075Z according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of 2025-08-26T19:58:36.1382289Z :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`. 2025-08-26T19:58:36.1382370Z 2025-08-26T19:58:36.1382476Z Keyword Args: 2025-08-26T19:58:36.1382678Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-26T19:58:36.1383011Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2025-08-26T19:58:36.1383382Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2025-08-26T19:58:36.1383504Z as a placeholder. default: None. 2025-08-26T19:58:36.1383754Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-26T19:58:36.1384161Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-26T19:58:36.1384569Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2025-08-26T19:58:36.1384698Z input_kwarg_layouts (Dict[str, Placement]): 2025-08-26T19:58:36.1385071Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2025-08-26T19:58:36.1385177Z default: None 2025-08-26T19:58:36.1385335Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2025-08-26T19:58:36.1385713Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-26T19:58:36.1385864Z have the desired DTensor layouts. default: None. 2025-08-26T19:58:36.1385980Z use_local_input (bool, optional): 2025-08-26T19:58:36.1386356Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2025-08-26T19:58:36.1386519Z output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-26T19:58:36.1386862Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2025-08-26T19:58:36.1387268Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2025-08-26T19:58:36.1387425Z ``None`` need to be specified as a placeholder. 2025-08-26T19:58:36.1387617Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-26T19:58:36.1388004Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2025-08-26T19:58:36.1388127Z have the desired DTensor layouts. 2025-08-26T19:58:36.1388241Z use_local_output (bool, optional): 2025-08-26T19:58:36.1388617Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2025-08-26T19:58:36.1388699Z Returns: 2025-08-26T19:58:36.1389065Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs. 2025-08-26T19:58:36.1389150Z 2025-08-26T19:58:36.1389236Z Example:: 2025-08-26T19:58:36.1389351Z >>> # xdoctest: +SKIP(failing) 2025-08-26T19:58:36.1389690Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput 2025-08-26T19:58:36.1389880Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-08-26T19:58:36.1389969Z >>> ... 2025-08-26T19:58:36.1390273Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-08-26T19:58:36.1390412Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-08-26T19:58:36.1390518Z >>> 2025-08-26T19:58:36.1390913Z >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor 2025-08-26T19:58:36.1391278Z >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated 2025-08-26T19:58:36.1391487Z >>> # as Replicated DTensor and then redistributed to Sharded DTensor. 2025-08-26T19:58:36.1391606Z >>> parallelize_module( 2025-08-26T19:58:36.1391738Z >>> block, # this can be a submodule or module 2025-08-26T19:58:36.1391829Z >>> tp_mesh, 2025-08-26T19:58:36.1391942Z >>> parallelize_plan={ 2025-08-26T19:58:36.1392071Z >>> "attn": PrepareModuleInputOutput( 2025-08-26T19:58:36.1392219Z >>> input_layouts=(Shard(0), None, None, ...), 2025-08-26T19:58:36.1392388Z >>> desired_input_layouts=(Replicate(), None, None, ...), 2025-08-26T19:58:36.1392513Z >>> output_layouts=Replicate(), 2025-08-26T19:58:36.1392692Z >>> desired_output_layouts=Shard(0), 2025-08-26T19:58:36.1392779Z >>> ), 2025-08-26T19:58:36.1392877Z >>> } 2025-08-26T19:58:36.1392958Z >>> ) 2025-08-26T19:58:36.1393116Z 2025-08-26T19:58:36.1393382Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1393459Z 2025-08-26T19:58:36.1393572Z warnings.warn(msg) 2025-08-26T19:58:36.1393644Z 2025-08-26T19:58:36.1393846Z --- Parse Warning: 94 / 146 --- 2025-08-26T19:58:36.1394962Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LowRankMultivariateNormal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56. 2025-08-26T19:58:36.1395222Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1395317Z 2025-08-26T19:58:36.1395626Z Creates a multivariate normal distribution with covariance matrix having a low-rank form 2025-08-26T19:58:36.1395815Z parameterized by :attr:`cov_factor` and :attr:`cov_diag`:: 2025-08-26T19:58:36.1395904Z 2025-08-26T19:58:36.1396078Z covariance_matrix = cov_factor @ cov_factor.T + cov_diag 2025-08-26T19:58:36.1396168Z 2025-08-26T19:58:36.1396252Z Example: 2025-08-26T19:58:36.1396432Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-08-26T19:58:36.1396583Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-26T19:58:36.1396701Z >>> m = LowRankMultivariateNormal( 2025-08-26T19:58:36.1396894Z ... torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2) 2025-08-26T19:58:36.1396973Z ... ) 2025-08-26T19:58:36.1397262Z >>> m.sample() # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]` 2025-08-26T19:58:36.1397374Z tensor([-0.2102, -0.5429]) 2025-08-26T19:58:36.1397460Z 2025-08-26T19:58:36.1397556Z Args: 2025-08-26T19:58:36.1397788Z loc (Tensor): mean of the distribution with shape `batch_shape + event_shape` 2025-08-26T19:58:36.1398043Z cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape 2025-08-26T19:58:36.1398173Z `batch_shape + event_shape + (rank,)` 2025-08-26T19:58:36.1398429Z cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape 2025-08-26T19:58:36.1398552Z `batch_shape + event_shape` 2025-08-26T19:58:36.1398628Z 2025-08-26T19:58:36.1398711Z Note: 2025-08-26T19:58:36.1398990Z The computation for determinant and inverse of covariance matrix is avoided when 2025-08-26T19:58:36.1399226Z `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity 2025-08-26T19:58:36.1399454Z `_ and 2025-08-26T19:58:36.1399778Z `matrix determinant lemma `_. 2025-08-26T19:58:36.1400052Z Thanks to these formulas, we just need to compute the determinant and inverse of 2025-08-26T19:58:36.1400189Z the small size "capacitance" matrix:: 2025-08-26T19:58:36.1400266Z 2025-08-26T19:58:36.1400460Z capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor 2025-08-26T19:58:36.1400537Z 2025-08-26T19:58:36.1400789Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1400886Z 2025-08-26T19:58:36.1400982Z warnings.warn(msg) 2025-08-26T19:58:36.1401073Z 2025-08-26T19:58:36.1401258Z --- Parse Warning: 95 / 146 --- 2025-08-26T19:58:36.1402264Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixtureSameFamily in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/mixture_same_family.py line=15. 2025-08-26T19:58:36.1402568Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1402642Z 2025-08-26T19:58:36.1402878Z The `MixtureSameFamily` distribution implements a (batch of) mixture 2025-08-26T19:58:36.1403118Z distribution where all component are from different parameterizations of 2025-08-26T19:58:36.1403326Z the same distribution type. It is parameterized by a `Categorical` 2025-08-26T19:58:36.1403538Z "selecting distribution" (over `k` component) and a component 2025-08-26T19:58:36.1403737Z distribution, i.e., a `Distribution` with a rightmost batch shape 2025-08-26T19:58:36.1403906Z (equal to `[k]`) which indexes each (batch of) component. 2025-08-26T19:58:36.1403981Z 2025-08-26T19:58:36.1404069Z Examples:: 2025-08-26T19:58:36.1404160Z 2025-08-26T19:58:36.1404275Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:36.1404493Z >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally 2025-08-26T19:58:36.1404605Z >>> # weighted normal distributions 2025-08-26T19:58:36.1404720Z >>> mix = D.Categorical(torch.ones(5,)) 2025-08-26T19:58:36.1404878Z >>> comp = D.Normal(torch.randn(5,), torch.rand(5,)) 2025-08-26T19:58:36.1404995Z >>> gmm = MixtureSameFamily(mix, comp) 2025-08-26T19:58:36.1405087Z 2025-08-26T19:58:36.1405308Z >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally 2025-08-26T19:58:36.1405439Z >>> # weighted bivariate normal distributions 2025-08-26T19:58:36.1405567Z >>> mix = D.Categorical(torch.ones(5,)) 2025-08-26T19:58:36.1405673Z >>> comp = D.Independent(D.Normal( 2025-08-26T19:58:36.1405812Z ... torch.randn(5,2), torch.rand(5,2)), 1) 2025-08-26T19:58:36.1405925Z >>> gmm = MixtureSameFamily(mix, comp) 2025-08-26T19:58:36.1406001Z 2025-08-26T19:58:36.1406192Z >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each 2025-08-26T19:58:36.1406392Z >>> # consisting of 5 random weighted bivariate normal distributions 2025-08-26T19:58:36.1406524Z >>> mix = D.Categorical(torch.rand(3,5)) 2025-08-26T19:58:36.1406628Z >>> comp = D.Independent(D.Normal( 2025-08-26T19:58:36.1406757Z ... torch.randn(3,5,2), torch.rand(3,5,2)), 1) 2025-08-26T19:58:36.1406887Z >>> gmm = MixtureSameFamily(mix, comp) 2025-08-26T19:58:36.1406965Z 2025-08-26T19:58:36.1407047Z Args: 2025-08-26T19:58:36.1407267Z mixture_distribution: `torch.distributions.Categorical`-like 2025-08-26T19:58:36.1407452Z instance. Manages the probability of selecting component. 2025-08-26T19:58:36.1407634Z The number of categories must match the rightmost batch 2025-08-26T19:58:36.1407816Z dimension of the `component_distribution`. Must have either 2025-08-26T19:58:36.1407955Z scalar `batch_shape` or `batch_shape` matching 2025-08-26T19:58:36.1408131Z `component_distribution.batch_shape[:-1]` 2025-08-26T19:58:36.1408378Z component_distribution: `torch.distributions.Distribution`-like 2025-08-26T19:58:36.1408569Z instance. Right-most batch dimension indexes component. 2025-08-26T19:58:36.1408647Z 2025-08-26T19:58:36.1408901Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1408989Z 2025-08-26T19:58:36.1409083Z warnings.warn(msg) 2025-08-26T19:58:36.1409174Z 2025-08-26T19:58:36.1409355Z --- Parse Warning: 96 / 146 --- 2025-08-26T19:58:36.1410348Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedBernoulli in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_bernoulli.py line=120. 2025-08-26T19:58:36.1410618Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1410697Z 2025-08-26T19:58:36.1410923Z Creates a RelaxedBernoulli distribution, parametrized by 2025-08-26T19:58:36.1411110Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits` 2025-08-26T19:58:36.1411341Z (but not both). This is a relaxed version of the `Bernoulli` distribution, 2025-08-26T19:58:36.1411522Z so the values are in (0, 1), and has reparametrizable samples. 2025-08-26T19:58:36.1411598Z 2025-08-26T19:58:36.1411701Z Example:: 2025-08-26T19:58:36.1411777Z 2025-08-26T19:58:36.1411917Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-26T19:58:36.1412060Z >>> m = RelaxedBernoulli(torch.tensor([2.2]), 2025-08-26T19:58:36.1412183Z ... torch.tensor([0.1, 0.2, 0.3, 0.99])) 2025-08-26T19:58:36.1412282Z >>> m.sample() 2025-08-26T19:58:36.1412397Z tensor([ 0.2951, 0.3442, 0.8918, 0.9021]) 2025-08-26T19:58:36.1412473Z 2025-08-26T19:58:36.1412568Z Args: 2025-08-26T19:58:36.1412712Z temperature (Tensor): relaxation temperature 2025-08-26T19:58:36.1412903Z probs (Number, Tensor): the probability of sampling `1` 2025-08-26T19:58:36.1413059Z logits (Number, Tensor): the log-odds of sampling `1` 2025-08-26T19:58:36.1413136Z 2025-08-26T19:58:36.1413406Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1413484Z 2025-08-26T19:58:36.1413599Z warnings.warn(msg) 2025-08-26T19:58:36.1413677Z 2025-08-26T19:58:36.1413884Z --- Parse Warning: 97 / 146 --- 2025-08-26T19:58:36.1414953Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedOneHotCategorical in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_categorical.py line=109. 2025-08-26T19:58:36.1415217Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1415311Z 2025-08-26T19:58:36.1415523Z Creates a RelaxedOneHotCategorical distribution parametrized by 2025-08-26T19:58:36.1415717Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`. 2025-08-26T19:58:36.1415970Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so 2025-08-26T19:58:36.1416134Z its samples are on simplex, and are reparametrizable. 2025-08-26T19:58:36.1416231Z 2025-08-26T19:58:36.1416317Z Example:: 2025-08-26T19:58:36.1416394Z 2025-08-26T19:58:36.1416546Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-26T19:58:36.1416700Z >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]), 2025-08-26T19:58:36.1416840Z ... torch.tensor([0.1, 0.2, 0.3, 0.4])) 2025-08-26T19:58:36.1416926Z >>> m.sample() 2025-08-26T19:58:36.1417043Z tensor([ 0.1294, 0.2324, 0.3859, 0.2523]) 2025-08-26T19:58:36.1417137Z 2025-08-26T19:58:36.1417219Z Args: 2025-08-26T19:58:36.1417375Z temperature (Tensor): relaxation temperature 2025-08-26T19:58:36.1417520Z probs (Tensor): event probabilities 2025-08-26T19:58:36.1417728Z logits (Tensor): unnormalized log probability for each event 2025-08-26T19:58:36.1417817Z 2025-08-26T19:58:36.1418065Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1418144Z 2025-08-26T19:58:36.1418248Z warnings.warn(msg) 2025-08-26T19:58:36.1418322Z 2025-08-26T19:58:36.1418515Z --- Parse Warning: 98 / 146 --- 2025-08-26T19:58:36.1419533Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assoc_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=245. 2025-08-26T19:58:36.1419809Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1419997Z Return a new dict with new, potentially nested, key value pair 2025-08-26T19:58:36.1420078Z 2025-08-26T19:58:36.1420211Z >>> purchase = { 2025-08-26T19:58:36.1420300Z ... "name": "Alice", 2025-08-26T19:58:36.1420485Z ... "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-08-26T19:58:36.1420600Z ... "credit card": "5555-1234-1234-1234", 2025-08-26T19:58:36.1420679Z ... } 2025-08-26T19:58:36.1420895Z >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00]) # doctest: +SKIP 2025-08-26T19:58:36.1421001Z {'credit card': '5555-1234-1234-1234', 2025-08-26T19:58:36.1421090Z 'name': 'Alice', 2025-08-26T19:58:36.1421259Z 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} 2025-08-26T19:58:36.1421343Z 2025-08-26T19:58:36.1421605Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1421683Z 2025-08-26T19:58:36.1421775Z warnings.warn(msg) 2025-08-26T19:58:36.1421864Z 2025-08-26T19:58:36.1422041Z --- Parse Warning: 99 / 146 --- 2025-08-26T19:58:36.1423085Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=update_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=261. 2025-08-26T19:58:36.1423341Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1423534Z Update value in a (potentially) nested dictionary 2025-08-26T19:58:36.1423612Z 2025-08-26T19:58:36.1423699Z inputs: 2025-08-26T19:58:36.1423823Z d - dictionary on which to operate 2025-08-26T19:58:36.1424038Z keys - list or tuple giving the location of the value to be changed in d 2025-08-26T19:58:36.1424162Z func - function to operate on that value 2025-08-26T19:58:36.1424254Z 2025-08-26T19:58:36.1424438Z If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the 2025-08-26T19:58:36.1424689Z original dictionary with v replaced by func(v), but does not mutate the 2025-08-26T19:58:36.1424789Z original dictionary. 2025-08-26T19:58:36.1424866Z 2025-08-26T19:58:36.1425086Z If k0 is not a key in d, update_in creates nested dictionaries to the depth 2025-08-26T19:58:36.1425299Z specified by the keys, with the innermost value set to func(default). 2025-08-26T19:58:36.1425393Z 2025-08-26T19:58:36.1425493Z >>> inc = lambda x: x + 1 2025-08-26T19:58:36.1425599Z >>> update_in({"a": 0}, ["a"], inc) 2025-08-26T19:58:36.1425695Z {'a': 1} 2025-08-26T19:58:36.1425771Z 2025-08-26T19:58:36.1425876Z >>> transaction = { 2025-08-26T19:58:36.1425966Z ... "name": "Alice", 2025-08-26T19:58:36.1426151Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-08-26T19:58:36.1426276Z ... "credit card": "5555-1234-1234-1234", 2025-08-26T19:58:36.1426385Z ... } 2025-08-26T19:58:36.1426618Z >>> update_in(transaction, ["purchase", "costs"], sum) # doctest: +SKIP 2025-08-26T19:58:36.1426762Z {'credit card': '5555-1234-1234-1234', 2025-08-26T19:58:36.1426854Z 'name': 'Alice', 2025-08-26T19:58:36.1427033Z 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} 2025-08-26T19:58:36.1427113Z 2025-08-26T19:58:36.1427248Z >>> # updating a value when k0 is not in d 2025-08-26T19:58:36.1427380Z >>> update_in({}, [1, 2, 3], str, default="bar") 2025-08-26T19:58:36.1427470Z {1: {2: {3: 'bar'}}} 2025-08-26T19:58:36.1427601Z >>> update_in({1: "foo"}, [2, 3, 4], inc, 0) 2025-08-26T19:58:36.1427695Z {1: 'foo', 2: {3: {4: 1}}} 2025-08-26T19:58:36.1427777Z 2025-08-26T19:58:36.1428047Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1428130Z 2025-08-26T19:58:36.1428243Z warnings.warn(msg) 2025-08-26T19:58:36.1428326Z 2025-08-26T19:58:36.1428513Z --- Parse Warning: 100 / 146 --- 2025-08-26T19:58:36.1429581Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=320. 2025-08-26T19:58:36.1429845Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1430028Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. 2025-08-26T19:58:36.1430109Z 2025-08-26T19:58:36.1430303Z If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless 2025-08-26T19:58:36.1430505Z ``no_default`` is specified, then it raises KeyError or IndexError. 2025-08-26T19:58:36.1430586Z 2025-08-26T19:58:36.1430807Z ``get_in`` is a generalization of ``operator.getitem`` for nested data 2025-08-26T19:58:36.1430940Z structures such as dictionaries and lists. 2025-08-26T19:58:36.1431022Z 2025-08-26T19:58:36.1431136Z >>> transaction = { 2025-08-26T19:58:36.1431232Z ... "name": "Alice", 2025-08-26T19:58:36.1431435Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-08-26T19:58:36.1431552Z ... "credit card": "5555-1234-1234-1234", 2025-08-26T19:58:36.1431633Z ... } 2025-08-26T19:58:36.1431783Z >>> get_in(["purchase", "items", 0], transaction) 2025-08-26T19:58:36.1431894Z 'Apple' 2025-08-26T19:58:36.1432019Z >>> get_in(["name"], transaction) 2025-08-26T19:58:36.1432100Z 'Alice' 2025-08-26T19:58:36.1432230Z >>> get_in(["purchase", "total"], transaction) 2025-08-26T19:58:36.1432391Z >>> get_in(["purchase", "items", "apple"], transaction) 2025-08-26T19:58:36.1432528Z >>> get_in(["purchase", "items", 10], transaction) 2025-08-26T19:58:36.1432678Z >>> get_in(["purchase", "total"], transaction, 0) 2025-08-26T19:58:36.1432762Z 0 2025-08-26T19:58:36.1432873Z >>> get_in(["y"], {}, no_default=True) 2025-08-26T19:58:36.1433004Z Traceback (most recent call last): 2025-08-26T19:58:36.1433162Z ... 2025-08-26T19:58:36.1433273Z KeyError: 'y' 2025-08-26T19:58:36.1433352Z 2025-08-26T19:58:36.1433437Z See Also: 2025-08-26T19:58:36.1433547Z itertoolz.get 2025-08-26T19:58:36.1433646Z operator.getitem 2025-08-26T19:58:36.1433728Z 2025-08-26T19:58:36.1434001Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1434081Z 2025-08-26T19:58:36.1434194Z warnings.warn(msg) 2025-08-26T19:58:36.1434272Z 2025-08-26T19:58:36.1434468Z --- Parse Warning: 101 / 146 --- 2025-08-26T19:58:36.1435504Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=groupby in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=373. 2025-08-26T19:58:36.1435835Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1435970Z Group a collection by a key function 2025-08-26T19:58:36.1436050Z 2025-08-26T19:58:36.1436215Z >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"] 2025-08-26T19:58:36.1436353Z >>> groupby(len, names) # doctest: +SKIP 2025-08-26T19:58:36.1436516Z {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']} 2025-08-26T19:58:36.1436610Z 2025-08-26T19:58:36.1436717Z >>> iseven = lambda x: x % 2 == 0 2025-08-26T19:58:36.1436886Z >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8]) # doctest: +SKIP 2025-08-26T19:58:36.1437010Z {False: [1, 3, 5, 7], True: [2, 4, 6, 8]} 2025-08-26T19:58:36.1437089Z 2025-08-26T19:58:36.1437249Z Non-callable keys imply grouping on a member. 2025-08-26T19:58:36.1437331Z 2025-08-26T19:58:36.1437421Z >>> groupby( 2025-08-26T19:58:36.1437525Z ... "gender", 2025-08-26T19:58:36.1437639Z ... [ 2025-08-26T19:58:36.1437775Z ... {"name": "Alice", "gender": "F"}, 2025-08-26T19:58:36.1437888Z ... {"name": "Bob", "gender": "M"}, 2025-08-26T19:58:36.1438007Z ... {"name": "Charlie", "gender": "M"}, 2025-08-26T19:58:36.1438103Z ... ], 2025-08-26T19:58:36.1438200Z ... ) # doctest:+SKIP 2025-08-26T19:58:36.1438330Z {'F': [{'gender': 'F', 'name': 'Alice'}], 2025-08-26T19:58:36.1438438Z 'M': [{'gender': 'M', 'name': 'Bob'}, 2025-08-26T19:58:36.1438554Z {'gender': 'M', 'name': 'Charlie'}]} 2025-08-26T19:58:36.1438652Z 2025-08-26T19:58:36.1438796Z Not to be confused with ``itertools.groupby`` 2025-08-26T19:58:36.1438879Z 2025-08-26T19:58:36.1438981Z See Also: 2025-08-26T19:58:36.1439066Z countby 2025-08-26T19:58:36.1439166Z 2025-08-26T19:58:36.1439427Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1439509Z 2025-08-26T19:58:36.1439617Z warnings.warn(msg) 2025-08-26T19:58:36.1439696Z 2025-08-26T19:58:36.1439895Z --- Parse Warning: 102 / 146 --- 2025-08-26T19:58:36.1440776Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=calculate_gain in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py line=142. 2025-08-26T19:58:36.1441041Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1441283Z Return the recommended gain value for the given nonlinearity function. 2025-08-26T19:58:36.1441364Z 2025-08-26T19:58:36.1441485Z The values are as follows: 2025-08-26T19:58:36.1441564Z 2025-08-26T19:58:36.1441678Z ================= ==================================================== 2025-08-26T19:58:36.1441799Z nonlinearity gain 2025-08-26T19:58:36.1441914Z ================= ==================================================== 2025-08-26T19:58:36.1442040Z Linear / Identity :math:`1` 2025-08-26T19:58:36.1442137Z Conv{1,2,3}D :math:`1` 2025-08-26T19:58:36.1442233Z Sigmoid :math:`1` 2025-08-26T19:58:36.1442354Z Tanh :math:`\frac{5}{3}` 2025-08-26T19:58:36.1442455Z ReLU :math:`\sqrt{2}` 2025-08-26T19:58:36.1442665Z Leaky Relu :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}` 2025-08-26T19:58:36.1442770Z SELU :math:`\frac{3}{4}` 2025-08-26T19:58:36.1442885Z ================= ==================================================== 2025-08-26T19:58:36.1442982Z 2025-08-26T19:58:36.1443078Z .. warning:: 2025-08-26T19:58:36.1443282Z In order to implement `Self-Normalizing Neural Networks`_ , 2025-08-26T19:58:36.1443525Z you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``. 2025-08-26T19:58:36.1443748Z This gives the initial weights a variance of ``1 / N``, 2025-08-26T19:58:36.1443986Z which is necessary to induce a stable fixed point in the forward pass. 2025-08-26T19:58:36.1444213Z In contrast, the default gain for ``SELU`` sacrifices the normalization 2025-08-26T19:58:36.1444415Z effect for more stable gradient flow in rectangular layers. 2025-08-26T19:58:36.1444496Z 2025-08-26T19:58:36.1444582Z Args: 2025-08-26T19:58:36.1444798Z nonlinearity: the non-linear function (`nn.functional` name) 2025-08-26T19:58:36.1444971Z param: optional parameter for the non-linear function 2025-08-26T19:58:36.1445071Z 2025-08-26T19:58:36.1445161Z Examples: 2025-08-26T19:58:36.1445279Z >>> gain = nn.init.calculate_gain( 2025-08-26T19:58:36.1445397Z ... "leaky_relu", 0.2 2025-08-26T19:58:36.1445531Z ... ) # leaky_relu with negative_slope=0.2 2025-08-26T19:58:36.1445632Z 2025-08-26T19:58:36.1446146Z .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html 2025-08-26T19:58:36.1446235Z 2025-08-26T19:58:36.1446499Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1446579Z 2025-08-26T19:58:36.1446691Z warnings.warn(msg) 2025-08-26T19:58:36.1446772Z 2025-08-26T19:58:36.1446966Z --- Parse Warning: 103 / 146 --- 2025-08-26T19:58:36.1447897Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=603. 2025-08-26T19:58:36.1448159Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1448348Z Applies Batch Normalization over a N-Dimensional input. 2025-08-26T19:58:36.1448430Z 2025-08-26T19:58:36.1448780Z The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper 2025-08-26T19:58:36.1449014Z `Batch Normalization: Accelerating Deep Network Training by Reducing 2025-08-26T19:58:36.1449227Z Internal Covariate Shift `__ . 2025-08-26T19:58:36.1449316Z 2025-08-26T19:58:36.1449401Z .. math:: 2025-08-26T19:58:36.1449479Z 2025-08-26T19:58:36.1449737Z y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta 2025-08-26T19:58:36.1449817Z 2025-08-26T19:58:36.1450060Z The mean and standard-deviation are calculated per-dimension over all 2025-08-26T19:58:36.1450290Z mini-batches of the same process groups. :math:`\gamma` and :math:`\beta` 2025-08-26T19:58:36.1450533Z are learnable parameter vectors of size `C` (where `C` is the input size). 2025-08-26T19:58:36.1450726Z By default, the elements of :math:`\gamma` are sampled from 2025-08-26T19:58:36.1450928Z :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0. 2025-08-26T19:58:36.1451202Z The standard-deviation is calculated via the biased estimator, equivalent to 2025-08-26T19:58:36.1451318Z `torch.var(input, unbiased=False)`. 2025-08-26T19:58:36.1451399Z 2025-08-26T19:58:36.1451646Z Also by default, during training this layer keeps running estimates of its 2025-08-26T19:58:36.1451880Z computed mean and variance, which are then used for normalization during 2025-08-26T19:58:36.1452138Z evaluation. The running estimates are kept with a default :attr:`momentum` 2025-08-26T19:58:36.1452222Z of 0.1. 2025-08-26T19:58:36.1452299Z 2025-08-26T19:58:36.1452540Z If :attr:`track_running_stats` is set to ``False``, this layer then does not 2025-08-26T19:58:36.1452758Z keep running estimates, and batch statistics are instead used during 2025-08-26T19:58:36.1452903Z evaluation time as well. 2025-08-26T19:58:36.1453010Z 2025-08-26T19:58:36.1453100Z .. note:: 2025-08-26T19:58:36.1453335Z This :attr:`momentum` argument is different from one used in optimizer 2025-08-26T19:58:36.1453562Z classes and the conventional notion of momentum. Mathematically, the 2025-08-26T19:58:36.1453711Z update rule for running statistics here is 2025-08-26T19:58:36.1453979Z :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`, 2025-08-26T19:58:36.1454183Z where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the 2025-08-26T19:58:36.1454294Z new observed value. 2025-08-26T19:58:36.1454373Z 2025-08-26T19:58:36.1454877Z Because the Batch Normalization is done for each channel in the ``C`` dimension, computing 2025-08-26T19:58:36.1455129Z statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch 2025-08-26T19:58:36.1455375Z Normalization or Spatio-temporal Batch Normalization. 2025-08-26T19:58:36.1455477Z 2025-08-26T19:58:36.1455624Z Currently :class:`SyncBatchNorm` only supports 2025-08-26T19:58:36.1455926Z :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use 2025-08-26T19:58:36.1456141Z :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert 2025-08-26T19:58:36.1456352Z :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping 2025-08-26T19:58:36.1456464Z Network with DDP. 2025-08-26T19:58:36.1456542Z 2025-08-26T19:58:36.1456640Z Args: 2025-08-26T19:58:36.1456807Z num_features: :math:`C` from an expected input of size 2025-08-26T19:58:36.1456903Z :math:`(N, C, +)` 2025-08-26T19:58:36.1457105Z eps: a value added to the denominator for numerical stability. 2025-08-26T19:58:36.1457201Z Default: ``1e-5`` 2025-08-26T19:58:36.1457409Z momentum: the value used for the running_mean and running_var 2025-08-26T19:58:36.1457617Z computation. Can be set to ``None`` for cumulative moving average 2025-08-26T19:58:36.1457735Z (i.e. simple average). Default: 0.1 2025-08-26T19:58:36.1457949Z affine: a boolean value that when set to ``True``, this module has 2025-08-26T19:58:36.1458098Z learnable affine parameters. Default: ``True`` 2025-08-26T19:58:36.1458365Z track_running_stats: a boolean value that when set to ``True``, this 2025-08-26T19:58:36.1458598Z module tracks the running mean and variance, and when set to ``False``, 2025-08-26T19:58:36.1458819Z this module does not track such statistics, and initializes statistics 2025-08-26T19:58:36.1459034Z buffers :attr:`running_mean` and :attr:`running_var` as ``None``. 2025-08-26T19:58:36.1459264Z When these buffers are ``None``, this module always uses batch statistics. 2025-08-26T19:58:36.1459435Z in both training and eval modes. Default: ``True`` 2025-08-26T19:58:36.1459683Z process_group: synchronization of stats happen within each process group 2025-08-26T19:58:36.1459908Z individually. Default behavior is synchronization across the whole 2025-08-26T19:58:36.1460005Z world 2025-08-26T19:58:36.1460084Z 2025-08-26T19:58:36.1460179Z Shape: 2025-08-26T19:58:36.1460284Z - Input: :math:`(N, C, +)` 2025-08-26T19:58:36.1460431Z - Output: :math:`(N, C, +)` (same shape as input) 2025-08-26T19:58:36.1460525Z 2025-08-26T19:58:36.1460613Z .. note:: 2025-08-26T19:58:36.1460871Z Synchronization of batchnorm statistics occurs only while training, i.e. 2025-08-26T19:58:36.1461072Z synchronization is disabled when ``model.eval()`` is set or if 2025-08-26T19:58:36.1461200Z ``self.training`` is otherwise ``False``. 2025-08-26T19:58:36.1461342Z 2025-08-26T19:58:36.1461471Z Examples:: 2025-08-26T19:58:36.1461563Z 2025-08-26T19:58:36.1461660Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1461773Z >>> # With Learnable Parameters 2025-08-26T19:58:36.1461896Z >>> m = nn.SyncBatchNorm(100) 2025-08-26T19:58:36.1462020Z >>> # creating process group (optional) 2025-08-26T19:58:36.1462175Z >>> # ranks is a list of int identifying rank ids. 2025-08-26T19:58:36.1462277Z >>> ranks = list(range(8)) 2025-08-26T19:58:36.1462382Z >>> r1, r2 = ranks[:4], ranks[4:] 2025-08-26T19:58:36.1462540Z >>> # Note: every rank calls into new_group for every 2025-08-26T19:58:36.1462689Z >>> # process group created, even if that rank is not 2025-08-26T19:58:36.1462803Z >>> # part of the group. 2025-08-26T19:58:36.1463051Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2025-08-26T19:58:36.1463279Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2025-08-26T19:58:36.1463409Z >>> # Without Learnable Parameters 2025-08-26T19:58:36.1463612Z >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group) 2025-08-26T19:58:36.1463750Z >>> input = torch.randn(20, 100, 35, 45, 10) 2025-08-26T19:58:36.1463849Z >>> output = m(input) 2025-08-26T19:58:36.1463927Z 2025-08-26T19:58:36.1464056Z >>> # network is nn.BatchNorm layer 2025-08-26T19:58:36.1464330Z >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group) 2025-08-26T19:58:36.1464505Z >>> # only single gpu per process is currently supported 2025-08-26T19:58:36.1464720Z >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel( 2025-08-26T19:58:36.1464832Z >>> sync_bn_network, 2025-08-26T19:58:36.1464973Z >>> device_ids=[args.local_rank], 2025-08-26T19:58:36.1465103Z >>> output_device=args.local_rank) 2025-08-26T19:58:36.1465200Z 2025-08-26T19:58:36.1465452Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1465529Z 2025-08-26T19:58:36.1465642Z warnings.warn(msg) 2025-08-26T19:58:36.1465723Z 2025-08-26T19:58:36.1465950Z --- Parse Warning: 104 / 146 --- 2025-08-26T19:58:36.1467004Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=830. 2025-08-26T19:58:36.1467268Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1467593Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers. 2025-08-26T19:58:36.1467673Z 2025-08-26T19:58:36.1467777Z Args: 2025-08-26T19:58:36.1468021Z module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers 2025-08-26T19:58:36.1468237Z process_group (optional): process group to scope synchronization, 2025-08-26T19:58:36.1468364Z default is the whole world 2025-08-26T19:58:36.1468443Z 2025-08-26T19:58:36.1468541Z Returns: 2025-08-26T19:58:36.1468792Z The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm` 2025-08-26T19:58:36.1469005Z layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer, 2025-08-26T19:58:36.1469228Z a new :class:`torch.nn.SyncBatchNorm` layer object will be returned 2025-08-26T19:58:36.1469319Z instead. 2025-08-26T19:58:36.1469411Z 2025-08-26T19:58:36.1469499Z Example:: 2025-08-26T19:58:36.1469579Z 2025-08-26T19:58:36.1469748Z >>> # Network with nn.BatchNorm layer 2025-08-26T19:58:36.1469918Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T19:58:36.1470051Z >>> module = torch.nn.Sequential( 2025-08-26T19:58:36.1470171Z >>> torch.nn.Linear(20, 100), 2025-08-26T19:58:36.1470296Z >>> torch.nn.BatchNorm1d(100), 2025-08-26T19:58:36.1470405Z >>> ).cuda() 2025-08-26T19:58:36.1470535Z >>> # creating process group (optional) 2025-08-26T19:58:36.1470696Z >>> # ranks is a list of int identifying rank ids. 2025-08-26T19:58:36.1470801Z >>> ranks = list(range(8)) 2025-08-26T19:58:36.1470908Z >>> r1, r2 = ranks[:4], ranks[4:] 2025-08-26T19:58:36.1471067Z >>> # Note: every rank calls into new_group for every 2025-08-26T19:58:36.1471217Z >>> # process group created, even if that rank is not 2025-08-26T19:58:36.1471335Z >>> # part of the group. 2025-08-26T19:58:36.1471483Z >>> # xdoctest: +SKIP("distributed") 2025-08-26T19:58:36.1471735Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2025-08-26T19:58:36.1471951Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2025-08-26T19:58:36.1472245Z >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group) 2025-08-26T19:58:36.1472344Z 2025-08-26T19:58:36.1472428Z 2025-08-26T19:58:36.1472679Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1472774Z 2025-08-26T19:58:36.1472869Z warnings.warn(msg) 2025-08-26T19:58:36.1472963Z 2025-08-26T19:58:36.1473240Z --- Parse Warning: 105 / 146 --- 2025-08-26T19:58:36.1474127Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Unflatten in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py line=66. 2025-08-26T19:58:36.1474410Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1474492Z 2025-08-26T19:58:36.1474818Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`. 2025-08-26T19:58:36.1474897Z 2025-08-26T19:58:36.1475203Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can 2025-08-26T19:58:36.1475448Z be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively. 2025-08-26T19:58:36.1475527Z 2025-08-26T19:58:36.1475860Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be 2025-08-26T19:58:36.1476106Z a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input; a `NamedShape` 2025-08-26T19:58:36.1476274Z (tuple of `(name, size)` tuples) for `NamedTensor` input. 2025-08-26T19:58:36.1476378Z 2025-08-26T19:58:36.1476462Z Shape: 2025-08-26T19:58:36.1476692Z - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at 2025-08-26T19:58:36.1476940Z dimension :attr:`dim` and :math:`*` means any number of dimensions including none. 2025-08-26T19:58:36.1477158Z - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and 2025-08-26T19:58:36.1477304Z :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`. 2025-08-26T19:58:36.1477384Z 2025-08-26T19:58:36.1477485Z Args: 2025-08-26T19:58:36.1477636Z dim (Union[int, str]): Dimension to be unflattened 2025-08-26T19:58:36.1477982Z unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension 2025-08-26T19:58:36.1478081Z 2025-08-26T19:58:36.1478166Z Examples: 2025-08-26T19:58:36.1478287Z >>> input = torch.randn(2, 50) 2025-08-26T19:58:36.1478416Z >>> # With tuple of ints 2025-08-26T19:58:36.1478537Z >>> m = nn.Sequential( 2025-08-26T19:58:36.1478652Z >>> nn.Linear(50, 50), 2025-08-26T19:58:36.1478758Z >>> nn.Unflatten(1, (2, 5, 5)) 2025-08-26T19:58:36.1478878Z >>> ) 2025-08-26T19:58:36.1478975Z >>> output = m(input) 2025-08-26T19:58:36.1479072Z >>> output.size() 2025-08-26T19:58:36.1479188Z torch.Size([2, 2, 5, 5]) 2025-08-26T19:58:36.1479288Z >>> # With torch.Size 2025-08-26T19:58:36.1479382Z >>> m = nn.Sequential( 2025-08-26T19:58:36.1479493Z >>> nn.Linear(50, 50), 2025-08-26T19:58:36.1479620Z >>> nn.Unflatten(1, torch.Size([2, 5, 5])) 2025-08-26T19:58:36.1479714Z >>> ) 2025-08-26T19:58:36.1479806Z >>> output = m(input) 2025-08-26T19:58:36.1479902Z >>> output.size() 2025-08-26T19:58:36.1480008Z torch.Size([2, 2, 5, 5]) 2025-08-26T19:58:36.1480124Z >>> # With namedshape (tuple of tuples) 2025-08-26T19:58:36.1480343Z >>> input = torch.randn(2, 50, names=("N", "features")) 2025-08-26T19:58:36.1480548Z >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5))) 2025-08-26T19:58:36.1480653Z >>> output = unflatten(input) 2025-08-26T19:58:36.1480764Z >>> output.size() 2025-08-26T19:58:36.1480856Z torch.Size([2, 2, 5, 5]) 2025-08-26T19:58:36.1480948Z 2025-08-26T19:58:36.1481201Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1481278Z 2025-08-26T19:58:36.1481388Z warnings.warn(msg) 2025-08-26T19:58:36.1481466Z 2025-08-26T19:58:36.1481661Z --- Parse Warning: 106 / 146 --- 2025-08-26T19:58:36.1482675Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1798. 2025-08-26T19:58:36.1482941Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1483155Z Creates a criterion that measures the triplet loss given input 2025-08-26T19:58:36.1483347Z tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor, 2025-08-26T19:58:36.1483577Z positive, and negative examples, respectively), and a nonnegative, 2025-08-26T19:58:36.1483827Z real-valued function ("distance function") used to compute the relationship 2025-08-26T19:58:36.1484077Z between the anchor and positive example ("positive distance") and the 2025-08-26T19:58:36.1484245Z anchor and negative example ("negative distance"). 2025-08-26T19:58:36.1484326Z 2025-08-26T19:58:36.1484547Z The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``) 2025-08-26T19:58:36.1484647Z can be described as: 2025-08-26T19:58:36.1484726Z 2025-08-26T19:58:36.1484831Z .. math:: 2025-08-26T19:58:36.1484969Z \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad 2025-08-26T19:58:36.1485141Z l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\} 2025-08-26T19:58:36.1485216Z 2025-08-26T19:58:36.1485517Z where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function 2025-08-26T19:58:36.1485823Z quantifying the closeness of two tensors, referred to as the :attr:`distance_function`; 2025-08-26T19:58:36.1486064Z and :math:`margin` is a nonnegative margin representing the minimum difference 2025-08-26T19:58:36.1486327Z between the positive and negative distances that is required for the loss to 2025-08-26T19:58:36.1486555Z be 0. The input tensors have :math:`N` elements each and can be of any shape 2025-08-26T19:58:36.1486678Z that the distance function can handle. 2025-08-26T19:58:36.1486774Z 2025-08-26T19:58:36.1486888Z If :attr:`reduction` is not ``'none'`` 2025-08-26T19:58:36.1487006Z (default ``'mean'``), then: 2025-08-26T19:58:36.1487114Z 2025-08-26T19:58:36.1487203Z .. math:: 2025-08-26T19:58:36.1487331Z \ell(x, y) = 2025-08-26T19:58:36.1487420Z \begin{cases} 2025-08-26T19:58:36.1487640Z \operatorname{mean}(L), & \text{if reduction} = \text{`mean';}\\ 2025-08-26T19:58:36.1487830Z \operatorname{sum}(L), & \text{if reduction} = \text{`sum'.} 2025-08-26T19:58:36.1487918Z \end{cases} 2025-08-26T19:58:36.1488011Z 2025-08-26T19:58:36.1488244Z See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet 2025-08-26T19:58:36.1488506Z loss for input tensors using the :math:`l_p` distance as the distance function. 2025-08-26T19:58:36.1488585Z 2025-08-26T19:58:36.1488669Z Args: 2025-08-26T19:58:36.1488955Z distance_function (Callable, optional): A nonnegative, real-valued function that 2025-08-26T19:58:36.1489141Z quantifies the closeness of two tensors. If not specified, 2025-08-26T19:58:36.1489352Z `nn.PairwiseDistance` will be used. Default: ``None`` 2025-08-26T19:58:36.1489618Z margin (float, optional): A nonnegative margin representing the minimum difference 2025-08-26T19:58:36.1489889Z between the positive and negative distances required for the loss to be 0. Larger 2025-08-26T19:58:36.1490183Z margins penalize cases where the negative examples are not distant enough from the 2025-08-26T19:58:36.1490357Z anchors, relative to the positives. Default: :math:`1`. 2025-08-26T19:58:36.1490617Z swap (bool, optional): Whether to use the distance swap described in the paper 2025-08-26T19:58:36.1490871Z `Learning shallow convolutional feature descriptors with triplet losses` by 2025-08-26T19:58:36.1491104Z V. Balntas, E. Riba et al. If True, and if the positive example is closer to the 2025-08-26T19:58:36.1491383Z negative example than the anchor is, swaps the positive example and the anchor in 2025-08-26T19:58:36.1491518Z the loss computation. Default: ``False``. 2025-08-26T19:58:36.1491812Z reduction (str, optional): Specifies the (optional) reduction to apply to the output: 2025-08-26T19:58:36.1491996Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2025-08-26T19:58:36.1492194Z ``'mean'``: the sum of the output will be divided by the number of 2025-08-26T19:58:36.1492485Z elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'`` 2025-08-26T19:58:36.1492568Z 2025-08-26T19:58:36.1492660Z 2025-08-26T19:58:36.1492741Z Shape: 2025-08-26T19:58:36.1492981Z - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions 2025-08-26T19:58:36.1493126Z as supported by the distance function. 2025-08-26T19:58:36.1493375Z - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar 2025-08-26T19:58:36.1493485Z otherwise. 2025-08-26T19:58:36.1493561Z 2025-08-26T19:58:36.1493645Z Examples: 2025-08-26T19:58:36.1493740Z 2025-08-26T19:58:36.1493841Z >>> # Initialize embeddings 2025-08-26T19:58:36.1493974Z >>> embedding = nn.Embedding(1000, 128) 2025-08-26T19:58:36.1494098Z >>> anchor_ids = torch.randint(0, 1000, (1,)) 2025-08-26T19:58:36.1494227Z >>> positive_ids = torch.randint(0, 1000, (1,)) 2025-08-26T19:58:36.1494368Z >>> negative_ids = torch.randint(0, 1000, (1,)) 2025-08-26T19:58:36.1494477Z >>> anchor = embedding(anchor_ids) 2025-08-26T19:58:36.1494609Z >>> positive = embedding(positive_ids) 2025-08-26T19:58:36.1494721Z >>> negative = embedding(negative_ids) 2025-08-26T19:58:36.1494801Z >>> 2025-08-26T19:58:36.1494921Z >>> # Built-in Distance Function 2025-08-26T19:58:36.1495013Z >>> triplet_loss = \ 2025-08-26T19:58:36.1495353Z >>> nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance()) 2025-08-26T19:58:36.1495529Z >>> output = triplet_loss(anchor, positive, negative) 2025-08-26T19:58:36.1495630Z >>> output.backward() 2025-08-26T19:58:36.1495728Z >>> 2025-08-26T19:58:36.1495833Z >>> # Custom Distance Function 2025-08-26T19:58:36.1495947Z >>> def l_infinity(x1, x2): 2025-08-26T19:58:36.1496103Z >>> return torch.max(torch.abs(x1 - x2), dim=1).values 2025-08-26T19:58:36.1496185Z >>> 2025-08-26T19:58:36.1496385Z >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time") 2025-08-26T19:58:36.1496486Z >>> triplet_loss = ( 2025-08-26T19:58:36.1496781Z >>> nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5)) 2025-08-26T19:58:36.1496935Z >>> output = triplet_loss(anchor, positive, negative) 2025-08-26T19:58:36.1497032Z >>> output.backward() 2025-08-26T19:58:36.1497134Z >>> 2025-08-26T19:58:36.1497278Z >>> # Custom Distance Function (Lambda) 2025-08-26T19:58:36.1497376Z >>> triplet_loss = ( 2025-08-26T19:58:36.1497519Z >>> nn.TripletMarginWithDistanceLoss( 2025-08-26T19:58:36.1497734Z >>> distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y))) 2025-08-26T19:58:36.1497898Z >>> output = triplet_loss(anchor, positive, negative) 2025-08-26T19:58:36.1497995Z >>> output.backward() 2025-08-26T19:58:36.1498077Z 2025-08-26T19:58:36.1498178Z Reference: 2025-08-26T19:58:36.1498480Z V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses: 2025-08-26T19:58:36.1498719Z https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html 2025-08-26T19:58:36.1498796Z 2025-08-26T19:58:36.1499050Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17)) 2025-08-26T19:58:36.1499142Z 2025-08-26T19:58:36.1499238Z warnings.warn(msg) 2025-08-26T19:58:36.1499327Z 2025-08-26T19:58:36.1499535Z --- Parse Warning: 107 / 146 --- 2025-08-26T19:58:36.1500404Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CTCLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1933. 2025-08-26T19:58:36.1500683Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1500857Z The Connectionist Temporal Classification loss. 2025-08-26T19:58:36.1500955Z 2025-08-26T19:58:36.1501335Z Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the 2025-08-26T19:58:36.1501707Z probability of possible alignments of input to target, producing a loss value which is differentiable 2025-08-26T19:58:36.1502046Z with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which 2025-08-26T19:58:36.1502352Z limits the length of the target sequence such that it must be :math:`\leq` the input length. 2025-08-26T19:58:36.1502458Z 2025-08-26T19:58:36.1502540Z Args: 2025-08-26T19:58:36.1502718Z blank (int, optional): blank label. Default :math:`0`. 2025-08-26T19:58:36.1502962Z reduction (str, optional): Specifies the reduction to apply to the output: 2025-08-26T19:58:36.1503143Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2025-08-26T19:58:36.1503359Z ``'mean'``: the output losses will be divided by the target lengths and 2025-08-26T19:58:36.1503603Z then the mean over the batch is taken, ``'sum'``: the output losses will be summed. 2025-08-26T19:58:36.1503717Z Default: ``'mean'`` 2025-08-26T19:58:36.1503832Z zero_infinity (bool, optional): 2025-08-26T19:58:36.1504024Z Whether to zero infinite losses and the associated gradients. 2025-08-26T19:58:36.1504163Z Default: ``False`` 2025-08-26T19:58:36.1504374Z Infinite losses mainly occur when the inputs are too short 2025-08-26T19:58:36.1504499Z to be aligned to the targets. 2025-08-26T19:58:36.1504579Z 2025-08-26T19:58:36.1504661Z Shape: 2025-08-26T19:58:36.1504864Z - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`, 2025-08-26T19:58:36.1504990Z where :math:`T = \text{input length}`, 2025-08-26T19:58:36.1505115Z :math:`N = \text{batch size}`, and 2025-08-26T19:58:36.1505278Z :math:`C = \text{number of classes (including blank)}`. 2025-08-26T19:58:36.1505506Z The logarithmized probabilities of the outputs (e.g. obtained with 2025-08-26T19:58:36.1505657Z :func:`torch.nn.functional.log_softmax`). 2025-08-26T19:58:36.1505788Z - Targets: Tensor of size :math:`(N, S)` or 2025-08-26T19:58:36.1505965Z :math:`(\operatorname{sum}(\text{target\_lengths}))`, 2025-08-26T19:58:36.1506120Z where :math:`N = \text{batch size}` and 2025-08-26T19:58:36.1506285Z :math:`S = \text{max target length, if shape is } (N, S)`. 2025-08-26T19:58:36.1506499Z It represents the target sequences. Each element in the target 2025-08-26T19:58:36.1506741Z sequence is a class index. And the target index cannot be blank (default=0). 2025-08-26T19:58:36.1506913Z In the :math:`(N, S)` form, targets are padded to the 2025-08-26T19:58:36.1507056Z length of the longest sequence, and stacked. 2025-08-26T19:58:36.1507248Z In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form, 2025-08-26T19:58:36.1507402Z the targets are assumed to be un-padded and 2025-08-26T19:58:36.1507524Z concatenated within 1 dimension. 2025-08-26T19:58:36.1507749Z - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`, 2025-08-26T19:58:36.1507958Z where :math:`N = \text{batch size}`. It represents the lengths of the 2025-08-26T19:58:36.1508165Z inputs (must each be :math:`\leq T`). And the lengths are specified 2025-08-26T19:58:36.1508411Z for each sequence to achieve masking under the assumption that sequences 2025-08-26T19:58:36.1508525Z are padded to equal lengths. 2025-08-26T19:58:36.1508779Z - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`, 2025-08-26T19:58:36.1508995Z where :math:`N = \text{batch size}`. It represents lengths of the targets. 2025-08-26T19:58:36.1509234Z Lengths are specified for each sequence to achieve masking under the 2025-08-26T19:58:36.1509481Z assumption that sequences are padded to equal lengths. If target shape is 2025-08-26T19:58:36.1509654Z :math:`(N,S)`, target_lengths are effectively the stop index 2025-08-26T19:58:36.1509930Z :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for 2025-08-26T19:58:36.1510112Z each target in a batch. Lengths must each be :math:`\leq S` 2025-08-26T19:58:36.1510372Z If the targets are given as a 1d tensor that is the concatenation of individual 2025-08-26T19:58:36.1510612Z targets, the target_lengths must add up to the total length of the tensor. 2025-08-26T19:58:36.1510806Z - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or 2025-08-26T19:58:36.1511053Z ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or 2025-08-26T19:58:36.1511250Z :math:`()` if input is unbatched, where :math:`N = \text{batch size}`. 2025-08-26T19:58:36.1511349Z 2025-08-26T19:58:36.1511438Z Examples: 2025-08-26T19:58:36.1511518Z 2025-08-26T19:58:36.1511642Z >>> # Target are to be padded 2025-08-26T19:58:36.1511759Z >>> T = 50 # Input sequence length 2025-08-26T19:58:36.1511939Z >>> C = 20 # Number of classes (including blank) 2025-08-26T19:58:36.1512059Z >>> N = 16 # Batch size 2025-08-26T19:58:36.1512285Z >>> S = 30 # Target sequence length of longest target in batch (padding length) 2025-08-26T19:58:36.1512487Z >>> S_min = 10 # Minimum target length, for demonstration purposes 2025-08-26T19:58:36.1512570Z >>> 2025-08-26T19:58:36.1512783Z >>> # Initialize random batch of input vectors, for *size = (T,N,C) 2025-08-26T19:58:36.1512994Z >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_() 2025-08-26T19:58:36.1513142Z >>> 2025-08-26T19:58:36.1513351Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-08-26T19:58:36.1513565Z >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long) 2025-08-26T19:58:36.1513663Z >>> 2025-08-26T19:58:36.1513919Z >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long) 2025-08-26T19:58:36.1514040Z >>> target_lengths = torch.randint( 2025-08-26T19:58:36.1514152Z ... low=S_min, 2025-08-26T19:58:36.1514240Z ... high=S, 2025-08-26T19:58:36.1514343Z ... size=(N,), 2025-08-26T19:58:36.1514444Z ... dtype=torch.long, 2025-08-26T19:58:36.1514524Z ... ) 2025-08-26T19:58:36.1514653Z >>> ctc_loss = nn.CTCLoss() 2025-08-26T19:58:36.1514836Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-08-26T19:58:36.1514948Z >>> loss.backward() 2025-08-26T19:58:36.1515031Z >>> 2025-08-26T19:58:36.1515109Z >>> 2025-08-26T19:58:36.1515236Z >>> # Target are to be un-padded 2025-08-26T19:58:36.1515347Z >>> T = 50 # Input sequence length 2025-08-26T19:58:36.1515495Z >>> C = 20 # Number of classes (including blank) 2025-08-26T19:58:36.1515594Z >>> N = 16 # Batch size 2025-08-26T19:58:36.1515680Z >>> 2025-08-26T19:58:36.1515893Z >>> # Initialize random batch of input vectors, for *size = (T,N,C) 2025-08-26T19:58:36.1516100Z >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_() 2025-08-26T19:58:36.1516330Z >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long) 2025-08-26T19:58:36.1516413Z >>> 2025-08-26T19:58:36.1516636Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-08-26T19:58:36.1516887Z >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long) 2025-08-26T19:58:36.1516995Z >>> target = torch.randint( 2025-08-26T19:58:36.1517103Z ... low=1, 2025-08-26T19:58:36.1517197Z ... high=C, 2025-08-26T19:58:36.1517310Z ... size=(sum(target_lengths),), 2025-08-26T19:58:36.1517435Z ... dtype=torch.long, 2025-08-26T19:58:36.1517521Z ... ) 2025-08-26T19:58:36.1517623Z >>> ctc_loss = nn.CTCLoss() 2025-08-26T19:58:36.1517819Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-08-26T19:58:36.1517915Z >>> loss.backward() 2025-08-26T19:58:36.1518009Z >>> 2025-08-26T19:58:36.1518091Z >>> 2025-08-26T19:58:36.1518277Z >>> # Target are to be un-padded and unbatched (effectively N=1) 2025-08-26T19:58:36.1518407Z >>> T = 50 # Input sequence length 2025-08-26T19:58:36.1518538Z >>> C = 20 # Number of classes (including blank) 2025-08-26T19:58:36.1518634Z >>> 2025-08-26T19:58:36.1518828Z >>> # Initialize random batch of input vectors, for *size = (T,C) 2025-08-26T19:58:36.1518963Z >>> # xdoctest: +SKIP("FIXME: error in doctest") 2025-08-26T19:58:36.1519218Z >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_() 2025-08-26T19:58:36.1519401Z >>> input_lengths = torch.tensor(T, dtype=torch.long) 2025-08-26T19:58:36.1519533Z >>> 2025-08-26T19:58:36.1519728Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-08-26T19:58:36.1519960Z >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long) 2025-08-26T19:58:36.1520080Z >>> target = torch.randint( 2025-08-26T19:58:36.1520169Z ... low=1, 2025-08-26T19:58:36.1520276Z ... high=C, 2025-08-26T19:58:36.1520383Z ... size=(target_lengths,), 2025-08-26T19:58:36.1520481Z ... dtype=torch.long, 2025-08-26T19:58:36.1520581Z ... ) 2025-08-26T19:58:36.1520683Z >>> ctc_loss = nn.CTCLoss() 2025-08-26T19:58:36.1520885Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-08-26T19:58:36.1520986Z >>> loss.backward() 2025-08-26T19:58:36.1521069Z 2025-08-26T19:58:36.1521173Z Reference: 2025-08-26T19:58:36.1521385Z A. Graves et al.: Connectionist Temporal Classification: 2025-08-26T19:58:36.1521631Z Labelling Unsegmented Sequence Data with Recurrent Neural Networks: 2025-08-26T19:58:36.1521792Z https://www.cs.toronto.edu/~graves/icml_2006.pdf 2025-08-26T19:58:36.1521873Z 2025-08-26T19:58:36.1521972Z Note: 2025-08-26T19:58:36.1522220Z In order to use CuDNN, the following must be satisfied: :attr:`targets` must be 2025-08-26T19:58:36.1522490Z in concatenated format, all :attr:`input_lengths` must be `T`. :math:`blank=0`, 2025-08-26T19:58:36.1522711Z :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of 2025-08-26T19:58:36.1522817Z dtype :attr:`torch.int32`. 2025-08-26T19:58:36.1522910Z 2025-08-26T19:58:36.1523181Z The regular implementation uses the (more common in PyTorch) `torch.long` dtype. 2025-08-26T19:58:36.1523275Z 2025-08-26T19:58:36.1523353Z 2025-08-26T19:58:36.1523438Z Note: 2025-08-26T19:58:36.1523693Z In some circumstances when using the CUDA backend with CuDNN, this operator 2025-08-26T19:58:36.1523949Z may select a nondeterministic algorithm to increase performance. If this is 2025-08-26T19:58:36.1524204Z undesirable, you can try to make the operation deterministic (potentially at 2025-08-26T19:58:36.1524467Z a performance cost) by setting ``torch.backends.cudnn.deterministic = 2025-08-26T19:58:36.1524552Z True``. 2025-08-26T19:58:36.1524762Z Please see the notes on :doc:`/notes/randomness` for background. 2025-08-26T19:58:36.1524843Z 2025-08-26T19:58:36.1525111Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1525192Z 2025-08-26T19:58:36.1525289Z warnings.warn(msg) 2025-08-26T19:58:36.1525382Z 2025-08-26T19:58:36.1525599Z --- Parse Warning: 108 / 146 --- 2025-08-26T19:58:36.1527116Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MaxUnpool2d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py line=410. 2025-08-26T19:58:36.1527377Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1527531Z Computes a partial inverse of :class:`MaxPool2d`. 2025-08-26T19:58:36.1527626Z 2025-08-26T19:58:36.1527885Z :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost. 2025-08-26T19:58:36.1527979Z 2025-08-26T19:58:36.1528204Z :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d` 2025-08-26T19:58:36.1528444Z including the indices of the maximal values and computes a partial inverse 2025-08-26T19:58:36.1528602Z in which all non-maximal values are set to zero. 2025-08-26T19:58:36.1528682Z 2025-08-26T19:58:36.1528843Z Note: 2025-08-26T19:58:36.1529161Z This operation may behave nondeterministically when the input indices has repeat values. 2025-08-26T19:58:36.1529569Z See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information. 2025-08-26T19:58:36.1529663Z 2025-08-26T19:58:36.1529896Z .. note:: :class:`MaxPool2d` can map several input sizes to the same output 2025-08-26T19:58:36.1530086Z sizes. Hence, the inversion process can get ambiguous. 2025-08-26T19:58:36.1530277Z To accommodate this, you can provide the needed output size 2025-08-26T19:58:36.1530485Z as an additional argument :attr:`output_size` in the forward call. 2025-08-26T19:58:36.1530621Z See the Inputs and Example below. 2025-08-26T19:58:36.1530702Z 2025-08-26T19:58:36.1530800Z Args: 2025-08-26T19:58:36.1530981Z kernel_size (int or tuple): Size of the max pooling window. 2025-08-26T19:58:36.1531181Z stride (int or tuple): Stride of the max pooling window. 2025-08-26T19:58:36.1531335Z It is set to :attr:`kernel_size` by default. 2025-08-26T19:58:36.1531519Z padding (int or tuple): Padding that was added to the input 2025-08-26T19:58:36.1531613Z 2025-08-26T19:58:36.1531700Z Inputs: 2025-08-26T19:58:36.1531824Z - `input`: the input Tensor to invert 2025-08-26T19:58:36.1532044Z - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d` 2025-08-26T19:58:36.1532203Z - `output_size` (optional): the targeted output size 2025-08-26T19:58:36.1532307Z 2025-08-26T19:58:36.1532395Z Shape: 2025-08-26T19:58:36.1532580Z - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`. 2025-08-26T19:58:36.1532808Z - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where 2025-08-26T19:58:36.1532930Z 2025-08-26T19:58:36.1533037Z .. math:: 2025-08-26T19:58:36.1533313Z H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]} 2025-08-26T19:58:36.1533392Z 2025-08-26T19:58:36.1533495Z .. math:: 2025-08-26T19:58:36.1533748Z W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]} 2025-08-26T19:58:36.1533841Z 2025-08-26T19:58:36.1534030Z or as given by :attr:`output_size` in the call operator 2025-08-26T19:58:36.1534110Z 2025-08-26T19:58:36.1534215Z Example:: 2025-08-26T19:58:36.1534295Z 2025-08-26T19:58:36.1534455Z >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True) 2025-08-26T19:58:36.1534597Z >>> unpool = nn.MaxUnpool2d(2, stride=2) 2025-08-26T19:58:36.1534727Z >>> input = torch.tensor([[[[ 1., 2., 3., 4.], 2025-08-26T19:58:36.1534848Z [ 5., 6., 7., 8.], 2025-08-26T19:58:36.1534961Z [ 9., 10., 11., 12.], 2025-08-26T19:58:36.1535074Z [13., 14., 15., 16.]]]]) 2025-08-26T19:58:36.1535207Z >>> output, indices = pool(input) 2025-08-26T19:58:36.1535314Z >>> unpool(output, indices) 2025-08-26T19:58:36.1535436Z tensor([[[[ 0., 0., 0., 0.], 2025-08-26T19:58:36.1535533Z [ 0., 6., 0., 8.], 2025-08-26T19:58:36.1535632Z [ 0., 0., 0., 0.], 2025-08-26T19:58:36.1535749Z [ 0., 14., 0., 16.]]]]) 2025-08-26T19:58:36.1535962Z >>> # Now using output_size to resolve an ambiguous size for the inverse 2025-08-26T19:58:36.1536121Z >>> input = torch.tensor([[[[ 1., 2., 3., 4., 5.], 2025-08-26T19:58:36.1536233Z [ 6., 7., 8., 9., 10.], 2025-08-26T19:58:36.1536341Z [11., 12., 13., 14., 15.], 2025-08-26T19:58:36.1536497Z [16., 17., 18., 19., 20.]]]]) 2025-08-26T19:58:36.1536643Z >>> output, indices = pool(input) 2025-08-26T19:58:36.1536828Z >>> # This call will not work without specifying output_size 2025-08-26T19:58:36.1536984Z >>> unpool(output, indices, output_size=input.size()) 2025-08-26T19:58:36.1537108Z tensor([[[[ 0., 0., 0., 0., 0.], 2025-08-26T19:58:36.1537212Z [ 0., 7., 0., 9., 0.], 2025-08-26T19:58:36.1537310Z [ 0., 0., 0., 0., 0.], 2025-08-26T19:58:36.1537426Z [ 0., 17., 0., 19., 0.]]]]) 2025-08-26T19:58:36.1537508Z 2025-08-26T19:58:36.1537587Z 2025-08-26T19:58:36.1537684Z 2025-08-26T19:58:36.1537943Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1538038Z 2025-08-26T19:58:36.1538136Z warnings.warn(msg) 2025-08-26T19:58:36.1538220Z 2025-08-26T19:58:36.1538466Z --- Parse Warning: 109 / 146 --- 2025-08-26T19:58:36.1539371Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=EmbeddingBag in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py line=272. 2025-08-26T19:58:36.1539651Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1539975Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings. 2025-08-26T19:58:36.1540056Z 2025-08-26T19:58:36.1540394Z For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`, 2025-08-26T19:58:36.1540504Z and with 2D inputs, this class 2025-08-26T19:58:36.1540598Z 2025-08-26T19:58:36.1540902Z * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``, 2025-08-26T19:58:36.1541216Z * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``, 2025-08-26T19:58:36.1541526Z * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``. 2025-08-26T19:58:36.1541603Z 2025-08-26T19:58:36.1541968Z However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these 2025-08-26T19:58:36.1542057Z operations. 2025-08-26T19:58:36.1542184Z 2025-08-26T19:58:36.1542443Z EmbeddingBag also supports per-sample weights as an argument to the forward 2025-08-26T19:58:36.1542677Z pass. This scales the output of the Embedding before performing a weighted 2025-08-26T19:58:36.1542946Z reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the 2025-08-26T19:58:36.1543178Z only supported ``mode`` is ``"sum"``, which computes a weighted sum according to 2025-08-26T19:58:36.1543303Z :attr:`per_sample_weights`. 2025-08-26T19:58:36.1543383Z 2025-08-26T19:58:36.1543467Z Args: 2025-08-26T19:58:36.1543663Z num_embeddings (int): size of the dictionary of embeddings 2025-08-26T19:58:36.1543831Z embedding_dim (int): the size of each embedding vector 2025-08-26T19:58:36.1544158Z max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm` 2025-08-26T19:58:36.1544313Z is renormalized to have norm :attr:`max_norm`. 2025-08-26T19:58:36.1544651Z norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``. 2025-08-26T19:58:36.1544991Z scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of 2025-08-26T19:58:36.1545152Z the words in the mini-batch. Default ``False``. 2025-08-26T19:58:36.1545377Z Note: this option is not supported when ``mode="max"``. 2025-08-26T19:58:36.1545654Z mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag. 2025-08-26T19:58:36.1545888Z ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights` 2025-08-26T19:58:36.1546108Z into consideration. ``"mean"`` computes the average of the values 2025-08-26T19:58:36.1546284Z in the bag, ``"max"`` computes the max value over each bag. 2025-08-26T19:58:36.1546411Z Default: ``"mean"`` 2025-08-26T19:58:36.1546732Z sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See 2025-08-26T19:58:36.1547003Z Notes for more details regarding sparse gradients. Note: this option is not 2025-08-26T19:58:36.1547160Z supported when ``mode="max"``. 2025-08-26T19:58:36.1547538Z include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element 2025-08-26T19:58:36.1547772Z is equivalent to the size of `indices`. This matches the CSR format. 2025-08-26T19:58:36.1548107Z padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the 2025-08-26T19:58:36.1548398Z gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated 2025-08-26T19:58:36.1548680Z during training, i.e. it remains as a fixed "pad". For a newly constructed 2025-08-26T19:58:36.1548961Z EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all 2025-08-26T19:58:36.1549211Z zeros, but can be updated to another value to be used as the padding vector. 2025-08-26T19:58:36.1549468Z Note that the embedding vector at :attr:`padding_idx` is excluded from the 2025-08-26T19:58:36.1549593Z reduction. 2025-08-26T19:58:36.1549680Z 2025-08-26T19:58:36.1549788Z Attributes: 2025-08-26T19:58:36.1550137Z weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)` 2025-08-26T19:58:36.1550279Z initialized from :math:`\mathcal{N}(0, 1)`. 2025-08-26T19:58:36.1550373Z 2025-08-26T19:58:36.1550467Z Examples:: 2025-08-26T19:58:36.1550565Z 2025-08-26T19:58:36.1550738Z >>> # an EmbeddingBag module containing 10 tensors of size 3 2025-08-26T19:58:36.1559983Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum') 2025-08-26T19:58:36.1560196Z >>> # a batch of 2 samples of 4 indices each 2025-08-26T19:58:36.1560406Z >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long) 2025-08-26T19:58:36.1560572Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2025-08-26T19:58:36.1560712Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-26T19:58:36.1560823Z >>> embedding_sum(input, offsets) 2025-08-26T19:58:36.1560935Z tensor([[-0.8861, -5.4350, -0.0523], 2025-08-26T19:58:36.1561034Z [ 1.1306, -2.5798, -1.0044]]) 2025-08-26T19:58:36.1561109Z 2025-08-26T19:58:36.1561214Z >>> # Example with padding_idx 2025-08-26T19:58:36.1561417Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2) 2025-08-26T19:58:36.1561601Z >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long) 2025-08-26T19:58:36.1561740Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2025-08-26T19:58:36.1561853Z >>> embedding_sum(input, offsets) 2025-08-26T19:58:36.1562090Z tensor([[ 0.0000, 0.0000, 0.0000], 2025-08-26T19:58:36.1562240Z [-0.7082, 3.2145, -2.6251]]) 2025-08-26T19:58:36.1562317Z 2025-08-26T19:58:36.1562488Z >>> # An EmbeddingBag can be loaded from an Embedding like so 2025-08-26T19:58:36.1562641Z >>> embedding = nn.Embedding(10, 3, padding_idx=2) 2025-08-26T19:58:36.1562791Z >>> embedding_sum = nn.EmbeddingBag.from_pretrained( 2025-08-26T19:58:36.1562891Z embedding.weight, 2025-08-26T19:58:36.1563018Z padding_idx=embedding.padding_idx, 2025-08-26T19:58:36.1563102Z mode='sum') 2025-08-26T19:58:36.1563182Z 2025-08-26T19:58:36.1563431Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1563505Z 2025-08-26T19:58:36.1563603Z warnings.warn(msg) 2025-08-26T19:58:36.1563673Z 2025-08-26T19:58:36.1563918Z --- Parse Warning: 110 / 146 --- 2025-08-26T19:58:36.1564924Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Transformer.forward in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py line=186. 2025-08-26T19:58:36.1565182Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1565330Z Take in and process masked source/target sequences. 2025-08-26T19:58:36.1565406Z 2025-08-26T19:58:36.1565496Z .. note:: 2025-08-26T19:58:36.1565568Z 2025-08-26T19:58:36.1565948Z If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are 2025-08-26T19:58:36.1566087Z not allowed to participate in the attention, 2025-08-26T19:58:36.1566272Z which is the opposite of the definition for :attr:`attn_mask` 2025-08-26T19:58:36.1566462Z in :func:`torch.nn.functional.scaled_dot_product_attention`. 2025-08-26T19:58:36.1566541Z 2025-08-26T19:58:36.1566618Z Args: 2025-08-26T19:58:36.1566755Z src: the sequence to the encoder (required). 2025-08-26T19:58:36.1566882Z tgt: the sequence to the decoder (required). 2025-08-26T19:58:36.1567066Z src_mask: the additive mask for the src sequence (optional). 2025-08-26T19:58:36.1567287Z tgt_mask: the additive mask for the tgt sequence (optional). 2025-08-26T19:58:36.1567498Z memory_mask: the additive mask for the encoder output (optional). 2025-08-26T19:58:36.1567744Z src_key_padding_mask: the Tensor mask for src keys per batch (optional). 2025-08-26T19:58:36.1567969Z tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional). 2025-08-26T19:58:36.1568238Z memory_key_padding_mask: the Tensor mask for memory keys per batch (optional). 2025-08-26T19:58:36.1568449Z src_is_causal: If specified, applies a causal mask as ``src_mask``. 2025-08-26T19:58:36.1568596Z Default: ``None``; try to detect a causal mask. 2025-08-26T19:58:36.1568705Z Warning: 2025-08-26T19:58:36.1568867Z ``src_is_causal`` provides a hint that ``src_mask`` is 2025-08-26T19:58:36.1569060Z the causal mask. Providing incorrect hints can result in 2025-08-26T19:58:36.1569227Z incorrect execution, including forward and backward 2025-08-26T19:58:36.1569328Z compatibility. 2025-08-26T19:58:36.1569547Z tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``. 2025-08-26T19:58:36.1569693Z Default: ``None``; try to detect a causal mask. 2025-08-26T19:58:36.1569797Z Warning: 2025-08-26T19:58:36.1569955Z ``tgt_is_causal`` provides a hint that ``tgt_mask`` is 2025-08-26T19:58:36.1570174Z the causal mask. Providing incorrect hints can result in 2025-08-26T19:58:36.1570363Z incorrect execution, including forward and backward 2025-08-26T19:58:36.1570460Z compatibility. 2025-08-26T19:58:36.1570647Z memory_is_causal: If specified, applies a causal mask as 2025-08-26T19:58:36.1570742Z ``memory_mask``. 2025-08-26T19:58:36.1570840Z Default: ``False``. 2025-08-26T19:58:36.1570943Z Warning: 2025-08-26T19:58:36.1571077Z ``memory_is_causal`` provides a hint that 2025-08-26T19:58:36.1571257Z ``memory_mask`` is the causal mask. Providing incorrect 2025-08-26T19:58:36.1571412Z hints can result in incorrect execution, including 2025-08-26T19:58:36.1571550Z forward and backward compatibility. 2025-08-26T19:58:36.1571629Z 2025-08-26T19:58:36.1571718Z Shape: 2025-08-26T19:58:36.1572010Z - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or 2025-08-26T19:58:36.1572130Z `(N, S, E)` if `batch_first=True`. 2025-08-26T19:58:36.1572370Z - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or 2025-08-26T19:58:36.1572498Z `(N, T, E)` if `batch_first=True`. 2025-08-26T19:58:36.1572689Z - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`. 2025-08-26T19:58:36.1572886Z - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`. 2025-08-26T19:58:36.1572999Z - memory_mask: :math:`(T, S)`. 2025-08-26T19:58:36.1573254Z - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`. 2025-08-26T19:58:36.1573493Z - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`. 2025-08-26T19:58:36.1573750Z - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`. 2025-08-26T19:58:36.1573847Z 2025-08-26T19:58:36.1574157Z Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked 2025-08-26T19:58:36.1574379Z positions. If a BoolTensor is provided, positions with ``True`` 2025-08-26T19:58:36.1574641Z are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor 2025-08-26T19:58:36.1574833Z is provided, it will be added to the attention weight. 2025-08-26T19:58:36.1575151Z [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by 2025-08-26T19:58:36.1575363Z the attention. If a BoolTensor is provided, the positions with the 2025-08-26T19:58:36.1575688Z value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged. 2025-08-26T19:58:36.1575768Z 2025-08-26T19:58:36.1576030Z - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or 2025-08-26T19:58:36.1576163Z `(N, T, E)` if `batch_first=True`. 2025-08-26T19:58:36.1576243Z 2025-08-26T19:58:36.1576500Z Note: Due to the multi-head attention architecture in the transformer model, 2025-08-26T19:58:36.1576736Z the output sequence length of a transformer is same as the input sequence 2025-08-26T19:58:36.1576873Z (i.e. target) length of the decoder. 2025-08-26T19:58:36.1576950Z 2025-08-26T19:58:36.1577274Z where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the 2025-08-26T19:58:36.1577423Z batch size, :math:`E` is the feature number 2025-08-26T19:58:36.1577504Z 2025-08-26T19:58:36.1577594Z Examples: 2025-08-26T19:58:36.1577710Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1577854Z >>> output = transformer_model( 2025-08-26T19:58:36.1578041Z ... src, tgt, src_mask=src_mask, tgt_mask=tgt_mask 2025-08-26T19:58:36.1578125Z ... ) 2025-08-26T19:58:36.1578208Z 2025-08-26T19:58:36.1578480Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1578561Z 2025-08-26T19:58:36.1578674Z warnings.warn(msg) 2025-08-26T19:58:36.1578753Z 2025-08-26T19:58:36.1578965Z --- Parse Warning: 111 / 146 --- 2025-08-26T19:58:36.1580004Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel.join in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=1766. 2025-08-26T19:58:36.1580271Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1580366Z 2025-08-26T19:58:36.1580603Z Context manager for training with uneven inputs across processes in DDP. 2025-08-26T19:58:36.1580717Z 2025-08-26T19:58:36.1580951Z This context manager will keep track of already-joined DDP processes, 2025-08-26T19:58:36.1581157Z and "shadow" the forward and backward passes by inserting collective 2025-08-26T19:58:36.1581407Z communication operations to match with the ones created by non-joined 2025-08-26T19:58:36.1581639Z DDP processes. This will ensure each collective call has a corresponding 2025-08-26T19:58:36.1581862Z call by already-joined DDP processes, preventing hangs or errors that 2025-08-26T19:58:36.1582079Z would otherwise happen when training with uneven inputs across 2025-08-26T19:58:36.1582315Z processes. Alternatively, if the flag ``throw_on_early_termination`` is 2025-08-26T19:58:36.1582535Z specified to be ``True``, all trainers will throw an error once one rank 2025-08-26T19:58:36.1582734Z runs out of inputs, allowing these errors to be caught and handled 2025-08-26T19:58:36.1582861Z according to application logic. 2025-08-26T19:58:36.1582944Z 2025-08-26T19:58:36.1583162Z Once all DDP processes have joined, the context manager will broadcast 2025-08-26T19:58:36.1583403Z the model corresponding to the last joined process to all processes to 2025-08-26T19:58:36.1583551Z ensure the model is the same across all processes 2025-08-26T19:58:36.1583671Z (which is guaranteed by DDP). 2025-08-26T19:58:36.1583751Z 2025-08-26T19:58:36.1583981Z To use this to enable training with uneven inputs across processes, 2025-08-26T19:58:36.1584215Z simply wrap this context manager around your training loop. No further 2025-08-26T19:58:36.1584390Z modifications to the model or data loading is required. 2025-08-26T19:58:36.1584470Z 2025-08-26T19:58:36.1584576Z .. warning:: 2025-08-26T19:58:36.1584785Z If the model or training loop this context manager is wrapped around 2025-08-26T19:58:36.1584983Z has additional distributed collective operations, such as 2025-08-26T19:58:36.1585174Z ``SyncBatchNorm`` in the model's forward pass, then the flag 2025-08-26T19:58:36.1585383Z ``throw_on_early_termination`` must be enabled. This is because this 2025-08-26T19:58:36.1585605Z context manager is not aware of non-DDP collective communication. 2025-08-26T19:58:36.1585775Z This flag will cause all ranks to throw when any one rank 2025-08-26T19:58:36.1586004Z exhausts inputs, allowing these errors to be caught and recovered 2025-08-26T19:58:36.1586107Z from across all ranks. 2025-08-26T19:58:36.1586186Z 2025-08-26T19:58:36.1586282Z Args: 2025-08-26T19:58:36.1586463Z divide_by_initial_world_size (bool): If ``True``, will divide 2025-08-26T19:58:36.1586684Z gradients by the initial ``world_size`` DDP training was launched 2025-08-26T19:58:36.1586846Z with. If ``False``, will compute the effective world size 2025-08-26T19:58:36.1587030Z (number of ranks that have not depleted their inputs yet) and 2025-08-26T19:58:36.1587245Z divide gradients by that during allreduce. Set 2025-08-26T19:58:36.1587423Z ``divide_by_initial_world_size=True`` to ensure every input 2025-08-26T19:58:36.1587641Z sample including the uneven inputs have equal weight in terms of 2025-08-26T19:58:36.1587811Z how much they contribute to the global gradient. This is 2025-08-26T19:58:36.1588001Z achieved by always dividing the gradient by the initial 2025-08-26T19:58:36.1588188Z ``world_size`` even when we encounter uneven inputs. If you set 2025-08-26T19:58:36.1588355Z this to ``False``, we divide the gradient by the remaining 2025-08-26T19:58:36.1588566Z number of nodes. This ensures parity with training on a smaller 2025-08-26T19:58:36.1588750Z ``world_size`` although it also means the uneven inputs would 2025-08-26T19:58:36.1588954Z contribute more towards the global gradient. Typically, you 2025-08-26T19:58:36.1589166Z would want to set this to ``True`` for cases where the last few 2025-08-26T19:58:36.1589366Z inputs of your training job are uneven. In extreme cases, where 2025-08-26T19:58:36.1589560Z there is a large discrepancy in the number of inputs, setting 2025-08-26T19:58:36.1589702Z this to ``False`` might provide better results. 2025-08-26T19:58:36.1589923Z enable (bool): Whether to enable uneven input detection or not. Pass 2025-08-26T19:58:36.1590092Z in ``enable=False`` to disable in cases where you know that 2025-08-26T19:58:36.1590277Z inputs are even across participating processes. Default is 2025-08-26T19:58:36.1590377Z ``True``. 2025-08-26T19:58:36.1590558Z throw_on_early_termination (bool): Whether to throw an error 2025-08-26T19:58:36.1590749Z or continue training when at least one rank has exhausted 2025-08-26T19:58:36.1590932Z inputs. If ``True``, will throw upon the first rank reaching end 2025-08-26T19:58:36.1591103Z of data. If ``False``, will continue training with a smaller 2025-08-26T19:58:36.1591311Z effective world size until all ranks are joined. Note that if 2025-08-26T19:58:36.1591431Z this flag is specified, then the flag 2025-08-26T19:58:36.1591615Z ``divide_by_initial_world_size`` would be ignored. Default 2025-08-26T19:58:36.1591711Z is ``False``. 2025-08-26T19:58:36.1591820Z 2025-08-26T19:58:36.1591912Z 2025-08-26T19:58:36.1592001Z Example:: 2025-08-26T19:58:36.1592091Z 2025-08-26T19:58:36.1592208Z >>> # xdoctest: +SKIP("Distributed") 2025-08-26T19:58:36.1592299Z >>> import torch 2025-08-26T19:58:36.1592431Z >>> import torch.distributed as dist 2025-08-26T19:58:36.1592517Z >>> import os 2025-08-26T19:58:36.1592654Z >>> import torch.multiprocessing as mp 2025-08-26T19:58:36.1592755Z >>> import torch.nn as nn 2025-08-26T19:58:36.1592861Z >>> # On each spawned worker 2025-08-26T19:58:36.1592972Z >>> def worker(rank): 2025-08-26T19:58:36.1593235Z >>> dist.init_process_group("nccl", rank=rank, world_size=2) 2025-08-26T19:58:36.1593348Z >>> torch.cuda.set_device(rank) 2025-08-26T19:58:36.1593497Z >>> model = nn.Linear(1, 1, bias=False).to(rank) 2025-08-26T19:58:36.1593670Z >>> model = torch.nn.parallel.DistributedDataParallel( 2025-08-26T19:58:36.1593829Z >>> model, device_ids=[rank], output_device=rank 2025-08-26T19:58:36.1593913Z >>> ) 2025-08-26T19:58:36.1594040Z >>> # Rank 1 gets one more input than rank 0. 2025-08-26T19:58:36.1594241Z >>> inputs = [torch.tensor([1]).float() for _ in range(10 + rank)] 2025-08-26T19:58:36.1594343Z >>> with model.join(): 2025-08-26T19:58:36.1594459Z >>> for _ in range(5): 2025-08-26T19:58:36.1594563Z >>> for inp in inputs: 2025-08-26T19:58:36.1594730Z >>> loss = model(inp).sum() 2025-08-26T19:58:36.1594883Z >>> loss.backward() 2025-08-26T19:58:36.1595070Z >>> # Without the join() API, the below synchronization will hang 2025-08-26T19:58:36.1595226Z >>> # blocking for rank 1's allreduce to complete. 2025-08-26T19:58:36.1595350Z >>> torch.cuda.synchronize(device=rank) 2025-08-26T19:58:36.1595431Z 2025-08-26T19:58:36.1595701Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1595780Z 2025-08-26T19:58:36.1595890Z warnings.warn(msg) 2025-08-26T19:58:36.1595971Z 2025-08-26T19:58:36.1596185Z --- Parse Warning: 112 / 146 --- 2025-08-26T19:58:36.1597289Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=2057. 2025-08-26T19:58:36.1597587Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1597682Z 2025-08-26T19:58:36.1597991Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction. 2025-08-26T19:58:36.1598071Z 2025-08-26T19:58:36.1598294Z Registers an optimizer with DDP such that the optimization for a 2025-08-26T19:58:36.1598508Z parameter will run immediately when that parameter's gradient is 2025-08-26T19:58:36.1598717Z finished with reduction, instead of waiting for all parameters' 2025-08-26T19:58:36.1598935Z gradients to finish reduction. This can result in a training speedup 2025-08-26T19:58:36.1599151Z depending on your workload since the optimizer can run while gradient 2025-08-26T19:58:36.1599397Z reduction for other parameters are still ongoing. In addition, this has 2025-08-26T19:58:36.1599621Z the potential to reduce peak memory consumption during training, as it 2025-08-26T19:58:36.1599842Z only needs to load the per-parameter optimizer states of a single 2025-08-26T19:58:36.1600053Z parameter at a time, instead of loading all per-parameter optimizer 2025-08-26T19:58:36.1600163Z states at once. 2025-08-26T19:58:36.1600242Z 2025-08-26T19:58:36.1600325Z Args: 2025-08-26T19:58:36.1600533Z optim (Type): a ``torch.optim.Optimizer`` class to be registered 2025-08-26T19:58:36.1600661Z as a fused optimizer. 2025-08-26T19:58:36.1600830Z *args (Sequence[Any]): Arguments to forward to `optim`. 2025-08-26T19:58:36.1601055Z optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters 2025-08-26T19:58:36.1601280Z to optimize, similar to `params` argument of traditional `torch.optim` 2025-08-26T19:58:36.1601498Z Optimizers. If this is omitted, all DDP model parameters will be 2025-08-26T19:58:36.1601586Z optimized. 2025-08-26T19:58:36.1601786Z **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`. 2025-08-26T19:58:36.1601881Z 2025-08-26T19:58:36.1601975Z .. warning :: 2025-08-26T19:58:36.1602206Z _register_fused_optim should only be called once on a DDP instance, 2025-08-26T19:58:36.1602422Z and registering multiple fused optimizers for the same DDP model 2025-08-26T19:58:36.1602550Z is not currently supported. Please ping 2025-08-26T19:58:36.1602798Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-08-26T19:58:36.1602896Z for your use case. 2025-08-26T19:58:36.1602990Z 2025-08-26T19:58:36.1603077Z .. warning :: 2025-08-26T19:58:36.1603269Z _register_fused_optim and register_comm_hook currently do not 2025-08-26T19:58:36.1603495Z compose together, meaning that custom DDP communication hooks are 2025-08-26T19:58:36.1603665Z not supported with overlapped optimizers. Please ping 2025-08-26T19:58:36.1603903Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-08-26T19:58:36.1604056Z for your use case. 2025-08-26T19:58:36.1604134Z 2025-08-26T19:58:36.1604235Z .. warning :: 2025-08-26T19:58:36.1604458Z Gradient accumulation and DDP `no_sync` are currently not supported 2025-08-26T19:58:36.1604598Z with overlapped optimizer. Please ping 2025-08-26T19:58:36.1604818Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-08-26T19:58:36.1604914Z for your use case. 2025-08-26T19:58:36.1605007Z 2025-08-26T19:58:36.1605095Z Example:: 2025-08-26T19:58:36.1605189Z 2025-08-26T19:58:36.1605345Z >>> # xdoctest: +SKIP("No rendezvous handler") 2025-08-26T19:58:36.1605642Z >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...') 2025-08-26T19:58:36.1605851Z >>> net = torch.nn.parallel.DistributedDataParallel(model, pg) 2025-08-26T19:58:36.1605940Z >>> lr = 1e-2 2025-08-26T19:58:36.1606049Z >>> betas = (0.9, 0.99) 2025-08-26T19:58:36.1606164Z >>> eps = 1e-6 2025-08-26T19:58:36.1606388Z >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps) 2025-08-26T19:58:36.1606521Z >>> # Example with subset of parameters 2025-08-26T19:58:36.1606656Z >>> params_to_opt = [list(net.parameters())[0]] 2025-08-26T19:58:36.1606776Z >>> net._register_fused_optim( 2025-08-26T19:58:36.1607008Z ... torch.optim.Adam, lr, optim_params=params_to_opt, betas=betas, eps=eps 2025-08-26T19:58:36.1607091Z ... ) 2025-08-26T19:58:36.1607184Z 2025-08-26T19:58:36.1607439Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1607534Z 2025-08-26T19:58:36.1607628Z warnings.warn(msg) 2025-08-26T19:58:36.1607707Z 2025-08-26T19:58:36.1607921Z --- Parse Warning: 113 / 146 --- 2025-08-26T19:58:36.1608937Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=14. 2025-08-26T19:58:36.1609221Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1609440Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``. 2025-08-26T19:58:36.1609520Z 2025-08-26T19:58:36.1609841Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2025-08-26T19:58:36.1610116Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2025-08-26T19:58:36.1610386Z This function is used to facilitate the computation to adopt NHWC kernels, which 2025-08-26T19:58:36.1610695Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2025-08-26T19:58:36.1610776Z 2025-08-26T19:58:36.1610882Z .. note:: 2025-08-26T19:58:36.1611117Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2025-08-26T19:58:36.1611355Z than the utility function ``convert_conv2d_weight_memory_format``. Any 2025-08-26T19:58:36.1611565Z layer with 4d weight will be affected by ``model.to``, which does not 2025-08-26T19:58:36.1611791Z necessarily benefit from conversion to specified ``memory_format``. 2025-08-26T19:58:36.1612032Z One place we are confident in is that NHWC(channels_last) conversion for 2025-08-26T19:58:36.1612253Z convolution in cuDNN, as it is beneficial to run convolution in NHWC, 2025-08-26T19:58:36.1612471Z even in cases where we have to apply permutation to input tensors. 2025-08-26T19:58:36.1612555Z 2025-08-26T19:58:36.1612782Z Hence our strategy here is to convert only the weight of convolution to 2025-08-26T19:58:36.1612913Z channels_last. This ensures that; 2025-08-26T19:58:36.1613160Z 1. Fast convolution kernels will be used, the benefit of which could 2025-08-26T19:58:36.1613433Z outweigh overhead of permutation (if input is not in the same format). 2025-08-26T19:58:36.1613664Z 2. No unnecessary permutations are applied on layers that do not benefit 2025-08-26T19:58:36.1613777Z from memory_format conversion. 2025-08-26T19:58:36.1613870Z 2025-08-26T19:58:36.1614097Z The optimal case is that, layers between convolution layers are channels 2025-08-26T19:58:36.1614348Z last compatible. Input tensor would be permuted to channels last when it 2025-08-26T19:58:36.1614576Z encounters the first convolution layer and stay in that memory format. 2025-08-26T19:58:36.1614834Z Hence following convolutions will not need to permute its input tensor. 2025-08-26T19:58:36.1614914Z 2025-08-26T19:58:36.1615133Z In case where a channels last incompatible layer is between convolution 2025-08-26T19:58:36.1615389Z layers, we need to permute the input tensor back to contiguous format 2025-08-26T19:58:36.1615616Z for that layer. The input tensor will go through the remaining layers in 2025-08-26T19:58:36.1615849Z contiguous format and be permuted to channels last when it encounters 2025-08-26T19:58:36.1616063Z another convolution layer. There's no point in propagating that 2025-08-26T19:58:36.1616299Z permutation to an earlier layer, as most layers are quite agnostic to 2025-08-26T19:58:36.1616395Z ``memory_format``. 2025-08-26T19:58:36.1616492Z 2025-08-26T19:58:36.1616721Z This claim might change when PyTorch supports fusion of permutation, as 2025-08-26T19:58:36.1616941Z there might have been a better spot to fuse the permutation other than 2025-08-26T19:58:36.1617074Z immediately before a convolution. 2025-08-26T19:58:36.1617154Z 2025-08-26T19:58:36.1617252Z Args: 2025-08-26T19:58:36.1617467Z module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container 2025-08-26T19:58:36.1617572Z ``nn.Module`` 2025-08-26T19:58:36.1617739Z memory_format: user specified ``memory_format``, 2025-08-26T19:58:36.1617915Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2025-08-26T19:58:36.1618012Z 2025-08-26T19:58:36.1618101Z Returns: 2025-08-26T19:58:36.1618274Z The original module with updated ``nn.Conv2d`` 2025-08-26T19:58:36.1618372Z 2025-08-26T19:58:36.1618459Z Example: 2025-08-26T19:58:36.1618610Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T19:58:36.1618762Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2025-08-26T19:58:36.1618866Z >>> input = torch.randint( 2025-08-26T19:58:36.1619028Z ... 1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda" 2025-08-26T19:58:36.1619109Z ... ) 2025-08-26T19:58:36.1619230Z >>> model = nn.Sequential( 2025-08-26T19:58:36.1619347Z >>> nn.Conv2d(8, 4, 3)).cuda().half() 2025-08-26T19:58:36.1619449Z >>> # This is identical to: 2025-08-26T19:58:36.1619707Z >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2025-08-26T19:58:36.1619872Z >>> model = nn.utils.convert_conv2d_weight_memory_format( 2025-08-26T19:58:36.1619999Z ... model, torch.channels_last 2025-08-26T19:58:36.1620083Z ... ) 2025-08-26T19:58:36.1620179Z >>> out = model(input) 2025-08-26T19:58:36.1620271Z 2025-08-26T19:58:36.1620521Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1620610Z 2025-08-26T19:58:36.1620722Z warnings.warn(msg) 2025-08-26T19:58:36.1620800Z 2025-08-26T19:58:36.1621015Z --- Parse Warning: 114 / 146 --- 2025-08-26T19:58:36.1622056Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=93. 2025-08-26T19:58:36.1622358Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1622572Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format`` 2025-08-26T19:58:36.1622851Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2025-08-26T19:58:36.1623138Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2025-08-26T19:58:36.1623391Z This function is used to facilitate the computation to adopt NHWC kernels, which 2025-08-26T19:58:36.1623710Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2025-08-26T19:58:36.1623790Z 2025-08-26T19:58:36.1623880Z .. note:: 2025-08-26T19:58:36.1624163Z Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive 2025-08-26T19:58:36.1624387Z than the utility function ``convert_conv3d_weight_memory_format``. Any 2025-08-26T19:58:36.1624611Z layer with 4d weight will be affected by ``model.to``, which does not 2025-08-26T19:58:36.1624836Z necessarily benefit from conversion to specified ``memory_format``. 2025-08-26T19:58:36.1625072Z One place we are confident in is that NDHWC(channels_last_3d) conversion for 2025-08-26T19:58:36.1625307Z convolution in cuDNN, as it is beneficial to run convolution in NDHWC, 2025-08-26T19:58:36.1625508Z even in cases where we have to apply permutation to input tensors. 2025-08-26T19:58:36.1625601Z 2025-08-26T19:58:36.1625826Z Hence our strategy here is to convert only the weight of convolution to 2025-08-26T19:58:36.1625947Z channels_last_3d. This ensures that; 2025-08-26T19:58:36.1626185Z 1. Fast convolution kernels will be used, the benefit of which could 2025-08-26T19:58:36.1626422Z outweigh overhead of permutation (if input is not in the same format). 2025-08-26T19:58:36.1626673Z 2. No unnecessary permutations are applied on layers that do not benefit 2025-08-26T19:58:36.1626788Z from memory_format conversion. 2025-08-26T19:58:36.1626878Z 2025-08-26T19:58:36.1627143Z The optimal case is that, layers between convolution layers are channels 2025-08-26T19:58:36.1627379Z last compatible. Input tensor would be permuted to channels last when it 2025-08-26T19:58:36.1627617Z encounters the first convolution layer and stay in that memory format. 2025-08-26T19:58:36.1627855Z Hence following convolutions will not need to permute its input tensor. 2025-08-26T19:58:36.1627947Z 2025-08-26T19:58:36.1628167Z In case where a channels last incompatible layer is between convolution 2025-08-26T19:58:36.1628381Z layers, we need to permute the input tensor back to contiguous format 2025-08-26T19:58:36.1628617Z for that layer. The input tensor will go through the remaining layers in 2025-08-26T19:58:36.1628841Z contiguous format and be permuted to channels last when it encounters 2025-08-26T19:58:36.1629063Z another convolution layer. There's no point in propagating that 2025-08-26T19:58:36.1629283Z permutation to an earlier layer, as most layers are quite agnostic to 2025-08-26T19:58:36.1629381Z ``memory_format``. 2025-08-26T19:58:36.1629473Z 2025-08-26T19:58:36.1629705Z This claim might change when PyTorch supports fusion of permutation, as 2025-08-26T19:58:36.1629937Z there might have been a better spot to fuse the permutation other than 2025-08-26T19:58:36.1630056Z immediately before a convolution. 2025-08-26T19:58:36.1630137Z 2025-08-26T19:58:36.1630263Z Args: 2025-08-26T19:58:36.1630481Z module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container 2025-08-26T19:58:36.1630620Z ``nn.Module`` 2025-08-26T19:58:36.1630771Z memory_format: user specified ``memory_format``, 2025-08-26T19:58:36.1630949Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2025-08-26T19:58:36.1631042Z 2025-08-26T19:58:36.1631126Z Returns: 2025-08-26T19:58:36.1631280Z The original module with updated ``nn.Conv3d`` 2025-08-26T19:58:36.1631360Z 2025-08-26T19:58:36.1631445Z Example: 2025-08-26T19:58:36.1631594Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T19:58:36.1631747Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2025-08-26T19:58:36.1631853Z >>> input = torch.randint( 2025-08-26T19:58:36.1632015Z ... 1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda" 2025-08-26T19:58:36.1632099Z ... ) 2025-08-26T19:58:36.1632242Z >>> model = nn.Sequential( 2025-08-26T19:58:36.1632357Z >>> nn.Conv3d(8, 4, 3)).cuda().half() 2025-08-26T19:58:36.1632457Z >>> # This is identical to: 2025-08-26T19:58:36.1632723Z >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2025-08-26T19:58:36.1632888Z >>> model = nn.utils.convert_conv3d_weight_memory_format( 2025-08-26T19:58:36.1633020Z ... model, torch.channels_last_3d 2025-08-26T19:58:36.1633183Z ... ) 2025-08-26T19:58:36.1633283Z >>> out = model(input) 2025-08-26T19:58:36.1633383Z 2025-08-26T19:58:36.1633631Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1633730Z 2025-08-26T19:58:36.1633827Z warnings.warn(msg) 2025-08-26T19:58:36.1633907Z 2025-08-26T19:58:36.1634127Z --- Parse Warning: 115 / 146 --- 2025-08-26T19:58:36.1635107Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrize.py line=424. 2025-08-26T19:58:36.1635390Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1635547Z Register a parametrization to a tensor in a module. 2025-08-26T19:58:36.1635626Z 2025-08-26T19:58:36.1635969Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-08-26T19:58:36.1636256Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-08-26T19:58:36.1636535Z If the original tensor requires a gradient, the backward pass will differentiate 2025-08-26T19:58:36.1636822Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-08-26T19:58:36.1636919Z 2025-08-26T19:58:36.1637234Z The first time that a module registers a parametrization, this function will add an attribute 2025-08-26T19:58:36.1637481Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-08-26T19:58:36.1637578Z 2025-08-26T19:58:36.1637828Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-08-26T19:58:36.1637967Z ``module.parametrizations.weight``. 2025-08-26T19:58:36.1638046Z 2025-08-26T19:58:36.1638186Z The original tensor will be accessible under 2025-08-26T19:58:36.1638352Z ``module.parametrizations.weight.original``. 2025-08-26T19:58:36.1638430Z 2025-08-26T19:58:36.1638693Z Parametrizations may be concatenated by registering several parametrizations 2025-08-26T19:58:36.1638810Z on the same attribute. 2025-08-26T19:58:36.1638888Z 2025-08-26T19:58:36.1639143Z The training mode of a registered parametrization is updated on registration 2025-08-26T19:58:36.1639316Z to match the training mode of the host module 2025-08-26T19:58:36.1639426Z 2025-08-26T19:58:36.1639745Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-08-26T19:58:36.1639871Z using the context manager :func:`cached`. 2025-08-26T19:58:36.1639964Z 2025-08-26T19:58:36.1640205Z A :attr:`parametrization` may optionally implement a method with signature 2025-08-26T19:58:36.1640289Z 2025-08-26T19:58:36.1640414Z .. code-block:: python 2025-08-26T19:58:36.1640494Z 2025-08-26T19:58:36.1640726Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-08-26T19:58:36.1640803Z 2025-08-26T19:58:36.1641066Z This method is called on the unparametrized tensor when the first parametrization 2025-08-26T19:58:36.1641286Z is registered to compute the initial value of the original tensor. 2025-08-26T19:58:36.1641598Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-08-26T19:58:36.1641722Z 2025-08-26T19:58:36.1642032Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-08-26T19:58:36.1642324Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-08-26T19:58:36.1642417Z 2025-08-26T19:58:36.1642644Z It is possible for the first parametrization to depend on several inputs. 2025-08-26T19:58:36.1642904Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-08-26T19:58:36.1643140Z (see the example implementation of a ``RankOne`` parametrization below). 2025-08-26T19:58:36.1643221Z 2025-08-26T19:58:36.1643576Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-08-26T19:58:36.1643703Z with names ``original0``, ``original1``,... 2025-08-26T19:58:36.1643797Z 2025-08-26T19:58:36.1643883Z .. note:: 2025-08-26T19:58:36.1643963Z 2025-08-26T19:58:36.1644245Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-08-26T19:58:36.1644393Z once to perform a number of consistency checks. 2025-08-26T19:58:36.1644677Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-08-26T19:58:36.1644797Z and nothing will be called otherwise. 2025-08-26T19:58:36.1644875Z 2025-08-26T19:58:36.1644998Z .. note:: 2025-08-26T19:58:36.1645078Z 2025-08-26T19:58:36.1645299Z In most situations, ``right_inverse`` will be a function such that 2025-08-26T19:58:36.1645419Z ``forward(right_inverse(X)) == X`` (see 2025-08-26T19:58:36.1645704Z `right inverse `_). 2025-08-26T19:58:36.1645971Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-08-26T19:58:36.1646068Z to relax this. 2025-08-26T19:58:36.1646167Z 2025-08-26T19:58:36.1646254Z .. warning:: 2025-08-26T19:58:36.1646333Z 2025-08-26T19:58:36.1646625Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-08-26T19:58:36.1646884Z will register a number of new parameters. If such parametrization is registered 2025-08-26T19:58:36.1647168Z after the optimizer is created, these new parameters will need to be added manually 2025-08-26T19:58:36.1647364Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-08-26T19:58:36.1647445Z 2025-08-26T19:58:36.1647539Z Args: 2025-08-26T19:58:36.1647750Z module (nn.Module): module on which to register the parametrization 2025-08-26T19:58:36.1647979Z tensor_name (str): name of the parameter or buffer on which to register 2025-08-26T19:58:36.1648082Z the parametrization 2025-08-26T19:58:36.1648316Z parametrization (nn.Module): the parametrization to register 2025-08-26T19:58:36.1648446Z Keyword args: 2025-08-26T19:58:36.1648664Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-08-26T19:58:36.1648873Z may change the dtype and shape of the tensor. Default: `False` 2025-08-26T19:58:36.1649143Z Warning: the parametrization is not checked for consistency upon registration. 2025-08-26T19:58:36.1649265Z Enable this flag at your own risk. 2025-08-26T19:58:36.1649360Z 2025-08-26T19:58:36.1649447Z Raises: 2025-08-26T19:58:36.1649749Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-08-26T19:58:36.1649828Z 2025-08-26T19:58:36.1649917Z Examples: 2025-08-26T19:58:36.1650080Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-08-26T19:58:36.1650173Z >>> import torch 2025-08-26T19:58:36.1650297Z >>> import torch.nn as nn 2025-08-26T19:58:36.1650464Z >>> import torch.nn.utils.parametrize as P 2025-08-26T19:58:36.1650547Z >>> 2025-08-26T19:58:36.1650674Z >>> class Symmetric(nn.Module): 2025-08-26T19:58:36.1650778Z >>> def forward(self, X): 2025-08-26T19:58:36.1650956Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-08-26T19:58:36.1651049Z >>> 2025-08-26T19:58:36.1651164Z >>> def right_inverse(self, A): 2025-08-26T19:58:36.1651276Z >>> return A.triu() 2025-08-26T19:58:36.1651360Z >>> 2025-08-26T19:58:36.1651458Z >>> m = nn.Linear(5, 5) 2025-08-26T19:58:36.1651640Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-08-26T19:58:36.1651881Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-08-26T19:58:36.1651981Z True 2025-08-26T19:58:36.1652085Z >>> A = torch.rand(5, 5) 2025-08-26T19:58:36.1652199Z >>> A = A + A.T # A is now symmetric 2025-08-26T19:58:36.1652411Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-08-26T19:58:36.1652538Z >>> print(torch.allclose(m.weight, A)) 2025-08-26T19:58:36.1652634Z True 2025-08-26T19:58:36.1652713Z 2025-08-26T19:58:36.1652818Z >>> class RankOne(nn.Module): 2025-08-26T19:58:36.1652965Z >>> def forward(self, x, y): 2025-08-26T19:58:36.1653108Z >>> # Form a rank 1 matrix multiplying two vectors 2025-08-26T19:58:36.1653253Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-08-26T19:58:36.1653331Z >>> 2025-08-26T19:58:36.1653442Z >>> def right_inverse(self, Z): 2025-08-26T19:58:36.1653573Z >>> # Project Z onto the rank 1 matrices 2025-08-26T19:58:36.1653724Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-08-26T19:58:36.1653858Z >>> # Return rescaled singular vectors 2025-08-26T19:58:36.1653979Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-08-26T19:58:36.1654127Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-08-26T19:58:36.1654217Z >>> 2025-08-26T19:58:36.1654363Z >>> linear_rank_one = P.register_parametrization( 2025-08-26T19:58:36.1654498Z ... nn.Linear(4, 4), "weight", RankOne() 2025-08-26T19:58:36.1654734Z ... ) 2025-08-26T19:58:36.1654936Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-08-26T19:58:36.1655031Z 1 2025-08-26T19:58:36.1655109Z 2025-08-26T19:58:36.1655207Z 2025-08-26T19:58:36.1655459Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1655538Z 2025-08-26T19:58:36.1655649Z warnings.warn(msg) 2025-08-26T19:58:36.1655728Z 2025-08-26T19:58:36.1656009Z --- Parse Warning: 116 / 146 --- 2025-08-26T19:58:36.1656954Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ln_structured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=979. 2025-08-26T19:58:36.1657221Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1657546Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension. 2025-08-26T19:58:36.1657625Z 2025-08-26T19:58:36.1657871Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2025-08-26T19:58:36.1658086Z by removing the specified ``amount`` of (currently unpruned) channels 2025-08-26T19:58:36.1658259Z along the specified ``dim`` with the lowest L\ ``n``-norm. 2025-08-26T19:58:36.1658465Z Modifies module in place (and also return the modified module) 2025-08-26T19:58:36.1658550Z by: 2025-08-26T19:58:36.1658642Z 2025-08-26T19:58:36.1658898Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-08-26T19:58:36.1659118Z binary mask applied to the parameter ``name`` by the pruning method. 2025-08-26T19:58:36.1659343Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-08-26T19:58:36.1659550Z original (unpruned) parameter is stored in a new parameter named 2025-08-26T19:58:36.1659659Z ``name+'_orig'``. 2025-08-26T19:58:36.1659738Z 2025-08-26T19:58:36.1659822Z Args: 2025-08-26T19:58:36.1660014Z module (nn.Module): module containing the tensor to prune 2025-08-26T19:58:36.1660197Z name (str): parameter name within ``module`` on which pruning 2025-08-26T19:58:36.1660307Z will act. 2025-08-26T19:58:36.1660480Z amount (int or float): quantity of parameters to prune. 2025-08-26T19:58:36.1660658Z If ``float``, should be between 0.0 and 1.0 and represent the 2025-08-26T19:58:36.1660883Z fraction of parameters to prune. If ``int``, it represents the 2025-08-26T19:58:36.1661014Z absolute number of parameters to prune. 2025-08-26T19:58:36.1661219Z n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid 2025-08-26T19:58:36.1661374Z entries for argument ``p`` in :func:`torch.norm`. 2025-08-26T19:58:36.1661609Z dim (int): index of the dim along which we define channels to prune. 2025-08-26T19:58:36.1661858Z importance_scores (torch.Tensor): tensor of importance scores (of same 2025-08-26T19:58:36.1662047Z shape as module parameter) used to compute mask for pruning. 2025-08-26T19:58:36.1662283Z The values in this tensor indicate the importance of the corresponding 2025-08-26T19:58:36.1662415Z elements in the parameter being pruned. 2025-08-26T19:58:36.1662640Z If unspecified or None, the module parameter will be used in its place. 2025-08-26T19:58:36.1662740Z 2025-08-26T19:58:36.1662824Z Returns: 2025-08-26T19:58:36.1663051Z module (nn.Module): modified (i.e. pruned) version of the input module 2025-08-26T19:58:36.1663132Z 2025-08-26T19:58:36.1663218Z Examples: 2025-08-26T19:58:36.1663354Z >>> from torch.nn.utils import prune 2025-08-26T19:58:36.1663464Z >>> m = prune.ln_structured( 2025-08-26T19:58:36.1663663Z ... nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf") 2025-08-26T19:58:36.1663745Z ... ) 2025-08-26T19:58:36.1663827Z 2025-08-26T19:58:36.1664094Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1664173Z 2025-08-26T19:58:36.1664270Z warnings.warn(msg) 2025-08-26T19:58:36.1664364Z 2025-08-26T19:58:36.1664561Z --- Parse Warning: 117 / 146 --- 2025-08-26T19:58:36.1665517Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=global_unstructured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1026. 2025-08-26T19:58:36.1665804Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1665899Z 2025-08-26T19:58:36.1666332Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``. 2025-08-26T19:58:36.1666411Z 2025-08-26T19:58:36.1666531Z Modifies modules in place by: 2025-08-26T19:58:36.1666609Z 2025-08-26T19:58:36.1666830Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-08-26T19:58:36.1667044Z binary mask applied to the parameter ``name`` by the pruning method. 2025-08-26T19:58:36.1667251Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-08-26T19:58:36.1667470Z original (unpruned) parameter is stored in a new parameter named 2025-08-26T19:58:36.1667590Z ``name+'_orig'``. 2025-08-26T19:58:36.1667682Z 2025-08-26T19:58:36.1667762Z Args: 2025-08-26T19:58:36.1667962Z parameters (Iterable of (module, name) tuples): parameters of 2025-08-26T19:58:36.1668161Z the model to prune in a global fashion, i.e. by aggregating all 2025-08-26T19:58:36.1668365Z weights prior to deciding which ones to prune. module must be of 2025-08-26T19:58:36.1668530Z type :class:`nn.Module`, and name must be a string. 2025-08-26T19:58:36.1668750Z pruning_method (function): a valid pruning function from this module, 2025-08-26T19:58:36.1668922Z or a custom one implemented by the user that satisfies the 2025-08-26T19:58:36.1669160Z implementation guidelines and has ``PRUNING_TYPE='unstructured'``. 2025-08-26T19:58:36.1669388Z importance_scores (dict): a dictionary mapping (module, name) tuples to 2025-08-26T19:58:36.1669626Z the corresponding parameter's importance scores tensor. The tensor 2025-08-26T19:58:36.1669835Z should be the same shape as the parameter, and is used for computing 2025-08-26T19:58:36.1669934Z mask for pruning. 2025-08-26T19:58:36.1670155Z If unspecified or None, the parameter will be used in place of its 2025-08-26T19:58:36.1670252Z importance scores. 2025-08-26T19:58:36.1670393Z kwargs: other keyword arguments such as: 2025-08-26T19:58:36.1670646Z amount (int or float): quantity of parameters to prune across the 2025-08-26T19:58:36.1670750Z specified parameters. 2025-08-26T19:58:36.1670935Z If ``float``, should be between 0.0 and 1.0 and represent the 2025-08-26T19:58:36.1671131Z fraction of parameters to prune. If ``int``, it represents the 2025-08-26T19:58:36.1671275Z absolute number of parameters to prune. 2025-08-26T19:58:36.1671355Z 2025-08-26T19:58:36.1671442Z Raises: 2025-08-26T19:58:36.1671607Z TypeError: if ``PRUNING_TYPE != 'unstructured'`` 2025-08-26T19:58:36.1671688Z 2025-08-26T19:58:36.1671771Z Note: 2025-08-26T19:58:36.1671997Z Since global structured pruning doesn't make much sense unless the 2025-08-26T19:58:36.1672197Z norm is normalized by the size of the parameter, we now limit the 2025-08-26T19:58:36.1672359Z scope of global pruning to unstructured methods. 2025-08-26T19:58:36.1672437Z 2025-08-26T19:58:36.1672527Z Examples: 2025-08-26T19:58:36.1672661Z >>> from torch.nn.utils import prune 2025-08-26T19:58:36.1672786Z >>> from collections import OrderedDict 2025-08-26T19:58:36.1672898Z >>> net = nn.Sequential( 2025-08-26T19:58:36.1672991Z ... OrderedDict( 2025-08-26T19:58:36.1673151Z ... [ 2025-08-26T19:58:36.1673288Z ... ("first", nn.Linear(10, 4)), 2025-08-26T19:58:36.1673410Z ... ("second", nn.Linear(4, 1)), 2025-08-26T19:58:36.1673542Z ... ] 2025-08-26T19:58:36.1673654Z ... ) 2025-08-26T19:58:36.1673735Z ... ) 2025-08-26T19:58:36.1673852Z >>> parameters_to_prune = ( 2025-08-26T19:58:36.1674001Z ... (net.first, "weight"), 2025-08-26T19:58:36.1674114Z ... (net.second, "weight"), 2025-08-26T19:58:36.1674195Z ... ) 2025-08-26T19:58:36.1674306Z >>> prune.global_unstructured( 2025-08-26T19:58:36.1674424Z ... parameters_to_prune, 2025-08-26T19:58:36.1674557Z ... pruning_method=prune.L1Unstructured, 2025-08-26T19:58:36.1674646Z ... amount=10, 2025-08-26T19:58:36.1674742Z ... ) 2025-08-26T19:58:36.1674962Z >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0)) 2025-08-26T19:58:36.1675064Z tensor(10) 2025-08-26T19:58:36.1675142Z 2025-08-26T19:58:36.1675220Z 2025-08-26T19:58:36.1675485Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1675567Z 2025-08-26T19:58:36.1675705Z warnings.warn(msg) 2025-08-26T19:58:36.1675785Z 2025-08-26T19:58:36.1675990Z --- Parse Warning: 118 / 146 --- 2025-08-26T19:58:36.1676899Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=custom_from_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1149. 2025-08-26T19:58:36.1677167Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1677580Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``. 2025-08-26T19:58:36.1677664Z 2025-08-26T19:58:36.1677879Z Modifies module in place (and also return the modified module) by: 2025-08-26T19:58:36.1677977Z 2025-08-26T19:58:36.1678186Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-08-26T19:58:36.1678425Z binary mask applied to the parameter ``name`` by the pruning method. 2025-08-26T19:58:36.1678636Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-08-26T19:58:36.1678851Z original (unpruned) parameter is stored in a new parameter named 2025-08-26T19:58:36.1678946Z ``name+'_orig'``. 2025-08-26T19:58:36.1679027Z 2025-08-26T19:58:36.1679117Z Args: 2025-08-26T19:58:36.1679324Z module (nn.Module): module containing the tensor to prune 2025-08-26T19:58:36.1679516Z name (str): parameter name within ``module`` on which pruning 2025-08-26T19:58:36.1679607Z will act. 2025-08-26T19:58:36.1679782Z mask (Tensor): binary mask to be applied to the parameter. 2025-08-26T19:58:36.1679870Z 2025-08-26T19:58:36.1679955Z Returns: 2025-08-26T19:58:36.1680174Z module (nn.Module): modified (i.e. pruned) version of the input module 2025-08-26T19:58:36.1680272Z 2025-08-26T19:58:36.1680361Z Examples: 2025-08-26T19:58:36.1680505Z >>> from torch.nn.utils import prune 2025-08-26T19:58:36.1680618Z >>> m = prune.custom_from_mask( 2025-08-26T19:58:36.1680787Z ... nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0]) 2025-08-26T19:58:36.1680881Z ... ) 2025-08-26T19:58:36.1680983Z >>> print(m.bias_mask) 2025-08-26T19:58:36.1681089Z tensor([0., 1., 0.]) 2025-08-26T19:58:36.1681172Z 2025-08-26T19:58:36.1681252Z 2025-08-26T19:58:36.1681519Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1681601Z 2025-08-26T19:58:36.1681711Z warnings.warn(msg) 2025-08-26T19:58:36.1681791Z 2025-08-26T19:58:36.1681979Z --- Parse Warning: 119 / 146 --- 2025-08-26T19:58:36.1682891Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=pad_packed_sequence in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py line=350. 2025-08-26T19:58:36.1683204Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1683361Z Pad a packed batch of variable length sequences. 2025-08-26T19:58:36.1683444Z 2025-08-26T19:58:36.1683619Z It is an inverse operation to :func:`pack_padded_sequence`. 2025-08-26T19:58:36.1683716Z 2025-08-26T19:58:36.1683997Z The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``) 2025-08-26T19:58:36.1684251Z or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest 2025-08-26T19:58:36.1684371Z sequence and ``B`` is the batch size. 2025-08-26T19:58:36.1684449Z 2025-08-26T19:58:36.1684548Z Example: 2025-08-26T19:58:36.1684786Z >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence 2025-08-26T19:58:36.1684973Z >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]]) 2025-08-26T19:58:36.1685069Z >>> lens = [2, 1, 3] 2025-08-26T19:58:36.1685180Z >>> packed = pack_padded_sequence( 2025-08-26T19:58:36.1685342Z ... seq, lens, batch_first=True, enforce_sorted=False 2025-08-26T19:58:36.1685419Z ... ) 2025-08-26T19:58:36.1685521Z >>> packed 2025-08-26T19:58:36.1685764Z PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]), 2025-08-26T19:58:36.1685974Z sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0])) 2025-08-26T19:58:36.1686234Z >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True) 2025-08-26T19:58:36.1686325Z >>> seq_unpacked 2025-08-26T19:58:36.1686430Z tensor([[1, 2, 0], 2025-08-26T19:58:36.1686514Z [3, 0, 0], 2025-08-26T19:58:36.1686599Z [4, 5, 6]]) 2025-08-26T19:58:36.1686704Z >>> lens_unpacked 2025-08-26T19:58:36.1686795Z tensor([2, 1, 3]) 2025-08-26T19:58:36.1686871Z 2025-08-26T19:58:36.1686979Z .. note:: 2025-08-26T19:58:36.1687122Z :attr:`total_length` is useful to implement the 2025-08-26T19:58:36.1687355Z ``pack sequence -> recurrent network -> unpack sequence`` pattern in a 2025-08-26T19:58:36.1687571Z :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`. 2025-08-26T19:58:36.1687827Z See :ref:`this FAQ section ` for 2025-08-26T19:58:36.1687926Z details. 2025-08-26T19:58:36.1688002Z 2025-08-26T19:58:36.1688098Z Args: 2025-08-26T19:58:36.1688228Z sequence (PackedSequence): batch to pad 2025-08-26T19:58:36.1688462Z batch_first (bool, optional): if ``True``, the output will be in ``B x T x *`` 2025-08-26T19:58:36.1688589Z format, ``T x B x *`` otherwise. 2025-08-26T19:58:36.1688778Z padding_value (float, optional): values for padded elements. 2025-08-26T19:58:36.1689024Z total_length (int, optional): if not ``None``, the output will be padded to 2025-08-26T19:58:36.1689262Z have length :attr:`total_length`. This method will throw :class:`ValueError` 2025-08-26T19:58:36.1689462Z if :attr:`total_length` is less than the max sequence length in 2025-08-26T19:58:36.1689566Z :attr:`sequence`. 2025-08-26T19:58:36.1689641Z 2025-08-26T19:58:36.1689742Z Returns: 2025-08-26T19:58:36.1689935Z Tuple of Tensor containing the padded sequence, and a Tensor 2025-08-26T19:58:36.1690133Z containing the list of lengths of each sequence in the batch. 2025-08-26T19:58:36.1690373Z Batch elements will be re-ordered as they were ordered originally when 2025-08-26T19:58:36.1690589Z the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``. 2025-08-26T19:58:36.1690711Z 2025-08-26T19:58:36.1691031Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1691108Z 2025-08-26T19:58:36.1691215Z warnings.warn(msg) 2025-08-26T19:58:36.1691290Z 2025-08-26T19:58:36.1691488Z --- Parse Warning: 120 / 146 --- 2025-08-26T19:58:36.1692391Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SequentialLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=808. 2025-08-26T19:58:36.1692660Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1692988Z Contains a list of schedulers expected to be called sequentially during the optimization process. 2025-08-26T19:58:36.1693068Z 2025-08-26T19:58:36.1693455Z Specifically, the schedulers will be called according to the milestone points, which should provide exact 2025-08-26T19:58:36.1693701Z intervals by which each scheduler should be called at a given epoch. 2025-08-26T19:58:36.1693797Z 2025-08-26T19:58:36.1693881Z Args: 2025-08-26T19:58:36.1694019Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T19:58:36.1694181Z schedulers (list): List of chained schedulers. 2025-08-26T19:58:36.1694395Z milestones (list): List of integers that reflects milestone points. 2025-08-26T19:58:36.1694569Z last_epoch (int): The index of last epoch. Default: -1. 2025-08-26T19:58:36.1694648Z 2025-08-26T19:58:36.1694732Z Example: 2025-08-26T19:58:36.1694841Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1694995Z >>> # Assuming optimizer uses lr = 0.05 for all groups 2025-08-26T19:58:36.1695099Z >>> # lr = 0.005 if epoch == 0 2025-08-26T19:58:36.1695214Z >>> # lr = 0.005 if epoch == 1 2025-08-26T19:58:36.1695316Z >>> # lr = 0.005 if epoch == 2 2025-08-26T19:58:36.1695411Z >>> # ... 2025-08-26T19:58:36.1695519Z >>> # lr = 0.05 if epoch == 20 2025-08-26T19:58:36.1695619Z >>> # lr = 0.045 if epoch == 21 2025-08-26T19:58:36.1695733Z >>> # lr = 0.0405 if epoch == 22 2025-08-26T19:58:36.1695933Z >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20) 2025-08-26T19:58:36.1696100Z >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9) 2025-08-26T19:58:36.1696235Z >>> scheduler = SequentialLR( 2025-08-26T19:58:36.1696325Z ... optimizer, 2025-08-26T19:58:36.1696467Z ... schedulers=[scheduler1, scheduler2], 2025-08-26T19:58:36.1696564Z ... milestones=[20], 2025-08-26T19:58:36.1696653Z ... ) 2025-08-26T19:58:36.1696758Z >>> for epoch in range(100): 2025-08-26T19:58:36.1696846Z >>> train(...) 2025-08-26T19:58:36.1696951Z >>> validate(...) 2025-08-26T19:58:36.1697051Z >>> scheduler.step() 2025-08-26T19:58:36.1697144Z 2025-08-26T19:58:36.1697320Z .. image:: ../scripts/lr_scheduler_images/SequentialLR.png 2025-08-26T19:58:36.1697399Z 2025-08-26T19:58:36.1697657Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1697737Z 2025-08-26T19:58:36.1697843Z warnings.warn(msg) 2025-08-26T19:58:36.1697921Z 2025-08-26T19:58:36.1698145Z --- Parse Warning: 121 / 146 --- 2025-08-26T19:58:36.1699091Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1233. 2025-08-26T19:58:36.1699336Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T19:58:36.1699524Z Reduce learning rate when a metric has stopped improving. 2025-08-26T19:58:36.1699632Z 2025-08-26T19:58:36.1699836Z Models often benefit from reducing the learning rate by a factor 2025-08-26T19:58:36.1700055Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-08-26T19:58:36.1700241Z quantity and if no improvement is seen for a 'patience' number 2025-08-26T19:58:36.1700366Z of epochs, the learning rate is reduced. 2025-08-26T19:58:36.1700442Z 2025-08-26T19:58:36.1700524Z Args: 2025-08-26T19:58:36.1700668Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T19:58:36.1700823Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-08-26T19:58:36.1700992Z be reduced when the quantity monitored has stopped 2025-08-26T19:58:36.1701151Z decreasing; in `max` mode it will be reduced when the 2025-08-26T19:58:36.1701342Z quantity monitored has stopped increasing. Default: 'min'. 2025-08-26T19:58:36.1701521Z factor (float): Factor by which the learning rate will be 2025-08-26T19:58:36.1701686Z reduced. new_lr = lr * factor. Default: 0.1. 2025-08-26T19:58:36.1701915Z patience (int): The number of allowed epochs with no improvement after 2025-08-26T19:58:36.1702041Z which the learning rate will be reduced. 2025-08-26T19:58:36.1702267Z For example, consider the case of having no patience (`patience = 0`). 2025-08-26T19:58:36.1702640Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-08-26T19:58:36.1702847Z In the second epoch, if the performance is worse than the baseline, 2025-08-26T19:58:36.1703006Z we have what is considered an intolerable epoch. 2025-08-26T19:58:36.1703273Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-08-26T19:58:36.1703442Z the learning rate is reduced at the end of this epoch. 2025-08-26T19:58:36.1703778Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-08-26T19:58:36.1704096Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-08-26T19:58:36.1704225Z the learning rate is not adjusted. 2025-08-26T19:58:36.1704321Z Default: 10. 2025-08-26T19:58:36.1704521Z threshold (float): Threshold for measuring the new optimum, 2025-08-26T19:58:36.1704707Z to only focus on significant changes. Default: 1e-4. 2025-08-26T19:58:36.1704881Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-08-26T19:58:36.1705046Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-08-26T19:58:36.1705187Z mode or best * ( 1 - threshold ) in `min` mode. 2025-08-26T19:58:36.1705354Z In `abs` mode, dynamic_threshold = best + threshold in 2025-08-26T19:58:36.1705537Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-08-26T19:58:36.1705711Z cooldown (int): Number of epochs to wait before resuming 2025-08-26T19:58:36.1705897Z normal operation after lr has been reduced. Default: 0. 2025-08-26T19:58:36.1706061Z min_lr (float or list): A scalar or a list of scalars. A 2025-08-26T19:58:36.1706234Z lower bound on the learning rate of all param groups 2025-08-26T19:58:36.1706364Z or each group respectively. Default: 0. 2025-08-26T19:58:36.1706541Z eps (float): Minimal decay applied to lr. If the difference 2025-08-26T19:58:36.1706733Z between new and old lr is smaller than eps, the update is 2025-08-26T19:58:36.1706838Z ignored. Default: 1e-8. 2025-08-26T19:58:36.1706925Z 2025-08-26T19:58:36.1707006Z Example: 2025-08-26T19:58:36.1707107Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1707375Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-08-26T19:58:36.1707561Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-08-26T19:58:36.1707676Z >>> for epoch in range(10): 2025-08-26T19:58:36.1707766Z >>> train(...) 2025-08-26T19:58:36.1707875Z >>> val_loss = validate(...) 2025-08-26T19:58:36.1708035Z >>> # Note that step should be called after validate() 2025-08-26T19:58:36.1708149Z >>> scheduler.step(val_loss) 2025-08-26T19:58:36.1708237Z 2025-08-26T19:58:36.1708427Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-08-26T19:58:36.1708510Z 2025-08-26T19:58:36.1708939Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-08-26T19:58:36.1709021Z 2025-08-26T19:58:36.1709139Z scheduler.step(val_loss) 2025-08-26T19:58:36.1709221Z ^ 2025-08-26T19:58:36.1709318Z warnings.warn(msg) 2025-08-26T19:58:36.1709409Z 2025-08-26T19:58:36.1709632Z --- Parse Warning: 122 / 146 --- 2025-08-26T19:58:36.1710529Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CyclicLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1430. 2025-08-26T19:58:36.1710793Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1711121Z Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR). 2025-08-26T19:58:36.1711213Z 2025-08-26T19:58:36.1711495Z The policy cycles the learning rate between two boundaries with a constant frequency, 2025-08-26T19:58:36.1711764Z as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_. 2025-08-26T19:58:36.1711995Z The distance between the two boundaries can be scaled on a per-iteration 2025-08-26T19:58:36.1712096Z or per-cycle basis. 2025-08-26T19:58:36.1712196Z 2025-08-26T19:58:36.1712442Z Cyclical learning rate policy changes the learning rate after every batch. 2025-08-26T19:58:36.1712652Z `step` should be called after a batch has been used for training. 2025-08-26T19:58:36.1712737Z 2025-08-26T19:58:36.1712947Z This class has three built-in policies, as put forth in the paper: 2025-08-26T19:58:36.1713114Z 2025-08-26T19:58:36.1713361Z * "triangular": A basic triangular cycle without amplitude scaling. 2025-08-26T19:58:36.1713675Z * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle. 2025-08-26T19:58:36.1714000Z * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}` 2025-08-26T19:58:36.1714105Z at each cycle iteration. 2025-08-26T19:58:36.1714204Z 2025-08-26T19:58:36.1714444Z This implementation was adapted from the github repo: `bckenstler/CLR`_ 2025-08-26T19:58:36.1714545Z 2025-08-26T19:58:36.1714631Z Args: 2025-08-26T19:58:36.1714766Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T19:58:36.1714959Z base_lr (float or list): Initial learning rate which is the 2025-08-26T19:58:36.1715129Z lower boundary in the cycle for each parameter group. 2025-08-26T19:58:36.1715343Z max_lr (float or list): Upper learning rate boundaries in the cycle 2025-08-26T19:58:36.1715478Z for each parameter group. Functionally, 2025-08-26T19:58:36.1715636Z it defines the cycle amplitude (max_lr - base_lr). 2025-08-26T19:58:36.1715778Z The lr at any cycle is the sum of base_lr 2025-08-26T19:58:36.1715918Z and some scaling of the amplitude; therefore 2025-08-26T19:58:36.1716076Z max_lr may not actually be reached depending on 2025-08-26T19:58:36.1716177Z scaling function. 2025-08-26T19:58:36.1716375Z step_size_up (int): Number of training iterations in the 2025-08-26T19:58:36.1716542Z increasing half of a cycle. Default: 2000 2025-08-26T19:58:36.1716717Z step_size_down (int): Number of training iterations in the 2025-08-26T19:58:36.1716892Z decreasing half of a cycle. If step_size_down is None, 2025-08-26T19:58:36.1717018Z it is set to step_size_up. Default: None 2025-08-26T19:58:36.1717185Z mode (str): One of {triangular, triangular2, exp_range}. 2025-08-26T19:58:36.1717341Z Values correspond to policies detailed above. 2025-08-26T19:58:36.1717491Z If scale_fn is not None, this argument is ignored. 2025-08-26T19:58:36.1717606Z Default: 'triangular' 2025-08-26T19:58:36.1717771Z gamma (float): Constant in 'exp_range' scaling function: 2025-08-26T19:58:36.1717876Z gamma**(cycle iterations) 2025-08-26T19:58:36.1717979Z Default: 1.0 2025-08-26T19:58:36.1718195Z scale_fn (function): Custom scaling policy defined by a single 2025-08-26T19:58:36.1718326Z argument lambda function, where 2025-08-26T19:58:36.1718439Z 0 <= scale_fn(x) <= 1 for all x >= 0. 2025-08-26T19:58:36.1718561Z If specified, then 'mode' is ignored. 2025-08-26T19:58:36.1718662Z Default: None 2025-08-26T19:58:36.1718790Z scale_mode (str): {'cycle', 'iterations'}. 2025-08-26T19:58:36.1718927Z Defines whether scale_fn is evaluated on 2025-08-26T19:58:36.1719060Z cycle number or cycle iterations (training 2025-08-26T19:58:36.1719178Z iterations since start of cycle). 2025-08-26T19:58:36.1719283Z Default: 'cycle' 2025-08-26T19:58:36.1719479Z cycle_momentum (bool): If ``True``, momentum is cycled inversely 2025-08-26T19:58:36.1719671Z to learning rate between 'base_momentum' and 'max_momentum'. 2025-08-26T19:58:36.1719763Z Default: True 2025-08-26T19:58:36.1719985Z base_momentum (float or list): Lower momentum boundaries in the cycle 2025-08-26T19:58:36.1720205Z for each parameter group. Note that momentum is cycled inversely 2025-08-26T19:58:36.1720366Z to learning rate; at the peak of a cycle, momentum is 2025-08-26T19:58:36.1720519Z 'base_momentum' and learning rate is 'max_lr'. 2025-08-26T19:58:36.1720641Z Default: 0.8 2025-08-26T19:58:36.1720856Z max_momentum (float or list): Upper momentum boundaries in the cycle 2025-08-26T19:58:36.1721002Z for each parameter group. Functionally, 2025-08-26T19:58:36.1721199Z it defines the cycle amplitude (max_momentum - base_momentum). 2025-08-26T19:58:36.1721386Z The momentum at any cycle is the difference of max_momentum 2025-08-26T19:58:36.1721525Z and some scaling of the amplitude; therefore 2025-08-26T19:58:36.1721694Z base_momentum may not actually be reached depending on 2025-08-26T19:58:36.1721893Z scaling function. Note that momentum is cycled inversely 2025-08-26T19:58:36.1722105Z to learning rate; at the start of a cycle, momentum is 'max_momentum' 2025-08-26T19:58:36.1722232Z and learning rate is 'base_lr' 2025-08-26T19:58:36.1722324Z Default: 0.9 2025-08-26T19:58:36.1722548Z last_epoch (int): The index of the last batch. This parameter is used when 2025-08-26T19:58:36.1722777Z resuming a training job. Since `step()` should be invoked after each 2025-08-26T19:58:36.1722989Z batch instead of after each epoch, this number represents the total 2025-08-26T19:58:36.1723219Z number of *batches* computed, not the total number of epochs computed. 2025-08-26T19:58:36.1723411Z When last_epoch=-1, the schedule is started from the beginning. 2025-08-26T19:58:36.1723559Z Default: -1 2025-08-26T19:58:36.1723669Z 2025-08-26T19:58:36.1723757Z Example: 2025-08-26T19:58:36.1723871Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1724100Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-08-26T19:58:36.1724252Z >>> scheduler = torch.optim.lr_scheduler.CyclicLR( 2025-08-26T19:58:36.1724360Z ... optimizer, 2025-08-26T19:58:36.1724457Z ... base_lr=0.01, 2025-08-26T19:58:36.1724563Z ... max_lr=0.1, 2025-08-26T19:58:36.1724662Z ... step_size_up=10, 2025-08-26T19:58:36.1724746Z ... ) 2025-08-26T19:58:36.1724917Z >>> data_loader = torch.utils.data.DataLoader(...) 2025-08-26T19:58:36.1725023Z >>> for epoch in range(10): 2025-08-26T19:58:36.1725153Z >>> for batch in data_loader: 2025-08-26T19:58:36.1725256Z >>> train_batch(...) 2025-08-26T19:58:36.1725364Z >>> scheduler.step() 2025-08-26T19:58:36.1725487Z 2025-08-26T19:58:36.1725651Z .. image:: ../scripts/lr_scheduler_images/CyclicLR.png 2025-08-26T19:58:36.1725749Z 2025-08-26T19:58:36.1726055Z .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186 2025-08-26T19:58:36.1726223Z .. _bckenstler/CLR: https://github.com/bckenstler/CLR 2025-08-26T19:58:36.1726322Z 2025-08-26T19:58:36.1726578Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1726673Z 2025-08-26T19:58:36.1726769Z warnings.warn(msg) 2025-08-26T19:58:36.1726852Z 2025-08-26T19:58:36.1727077Z --- Parse Warning: 123 / 146 --- 2025-08-26T19:58:36.1728076Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1722. 2025-08-26T19:58:36.1728362Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1728617Z Set the learning rate of each parameter group using a cosine annealing schedule. 2025-08-26T19:58:36.1728699Z 2025-08-26T19:58:36.1728899Z The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}` 2025-08-26T19:58:36.1729164Z is the number of epochs since the last restart and :math:`T_{i}` is the number 2025-08-26T19:58:36.1729317Z of epochs between two warm restarts in SGDR: 2025-08-26T19:58:36.1729398Z 2025-08-26T19:58:36.1729487Z .. math:: 2025-08-26T19:58:36.1729684Z \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 + 2025-08-26T19:58:36.1729827Z \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right) 2025-08-26T19:58:36.1729919Z 2025-08-26T19:58:36.1730085Z When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`. 2025-08-26T19:58:36.1730273Z When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`. 2025-08-26T19:58:36.1730369Z 2025-08-26T19:58:36.1730473Z It has been proposed in 2025-08-26T19:58:36.1730661Z `SGDR: Stochastic Gradient Descent with Warm Restarts`_. 2025-08-26T19:58:36.1730739Z 2025-08-26T19:58:36.1730822Z Args: 2025-08-26T19:58:36.1730973Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T19:58:36.1731135Z T_0 (int): Number of iterations until the first restart. 2025-08-26T19:58:36.1731436Z T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1. 2025-08-26T19:58:36.1731625Z eta_min (float, optional): Minimum learning rate. Default: 0. 2025-08-26T19:58:36.1731837Z last_epoch (int, optional): The index of the last epoch. Default: -1. 2025-08-26T19:58:36.1731930Z 2025-08-26T19:58:36.1732097Z .. _SGDR\: Stochastic Gradient Descent with Warm Restarts: 2025-08-26T19:58:36.1732263Z https://arxiv.org/abs/1608.03983 2025-08-26T19:58:36.1732368Z 2025-08-26T19:58:36.1732455Z Example: 2025-08-26T19:58:36.1732571Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1732757Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05) 2025-08-26T19:58:36.1732987Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts( 2025-08-26T19:58:36.1733107Z ... optimizer, T_0=20 2025-08-26T19:58:36.1733192Z ... ) 2025-08-26T19:58:36.1733313Z >>> for epoch in range(100): 2025-08-26T19:58:36.1733406Z >>> train(...) 2025-08-26T19:58:36.1733500Z >>> validate(...) 2025-08-26T19:58:36.1733615Z >>> scheduler.step() 2025-08-26T19:58:36.1733694Z 2025-08-26T19:58:36.1733946Z .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png 2025-08-26T19:58:36.1734028Z 2025-08-26T19:58:36.1734281Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1734405Z 2025-08-26T19:58:36.1734506Z warnings.warn(msg) 2025-08-26T19:58:36.1734603Z 2025-08-26T19:58:36.1734797Z --- Parse Warning: 124 / 146 --- 2025-08-26T19:58:36.1735696Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=OneCycleLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1872. 2025-08-26T19:58:36.1735971Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1736281Z Sets the learning rate of each parameter group according to the 1cycle learning rate policy. 2025-08-26T19:58:36.1736379Z 2025-08-26T19:58:36.1736678Z The 1cycle policy anneals the learning rate from an initial learning rate to some maximum 2025-08-26T19:58:36.1736970Z learning rate and then from that maximum learning rate to some minimum learning rate much 2025-08-26T19:58:36.1737114Z lower than the initial learning rate. 2025-08-26T19:58:36.1737341Z This policy was initially described in the paper `Super-Convergence: 2025-08-26T19:58:36.1737569Z Very Fast Training of Neural Networks Using Large Learning Rates`_. 2025-08-26T19:58:36.1737651Z 2025-08-26T19:58:36.1737899Z The 1cycle learning rate policy changes the learning rate after every batch. 2025-08-26T19:58:36.1738140Z `step` should be called after a batch has been used for training. 2025-08-26T19:58:36.1738223Z 2025-08-26T19:58:36.1738351Z This scheduler is not chainable. 2025-08-26T19:58:36.1738429Z 2025-08-26T19:58:36.1738671Z Note also that the total number of steps in the cycle can be determined in one 2025-08-26T19:58:36.1738825Z of two ways (listed in order of precedence): 2025-08-26T19:58:36.1738905Z 2025-08-26T19:58:36.1739072Z #. A value for total_steps is explicitly provided. 2025-08-26T19:58:36.1739260Z #. A number of epochs (epochs) and a number of steps per epoch 2025-08-26T19:58:36.1739377Z (steps_per_epoch) are provided. 2025-08-26T19:58:36.1739556Z In this case, the number of total steps is inferred by 2025-08-26T19:58:36.1739678Z total_steps = epochs * steps_per_epoch 2025-08-26T19:58:36.1739772Z 2025-08-26T19:58:36.1740012Z You must either provide a value for total_steps or provide a value for both 2025-08-26T19:58:36.1740130Z epochs and steps_per_epoch. 2025-08-26T19:58:36.1740225Z 2025-08-26T19:58:36.1740533Z The default behaviour of this scheduler follows the fastai implementation of 1cycle, which 2025-08-26T19:58:36.1740842Z claims that "unpublished work has shown even better results by using only two phases". To 2025-08-26T19:58:36.1741087Z mimic the behaviour of the original paper instead, set ``three_phase=True``. 2025-08-26T19:58:36.1741168Z 2025-08-26T19:58:36.1741289Z Args: 2025-08-26T19:58:36.1741429Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T19:58:36.1741667Z max_lr (float or list): Upper learning rate boundaries in the cycle 2025-08-26T19:58:36.1741782Z for each parameter group. 2025-08-26T19:58:36.1741991Z total_steps (int): The total number of steps in the cycle. Note that 2025-08-26T19:58:36.1742216Z if a value is not provided here, then it must be inferred by providing 2025-08-26T19:58:36.1742352Z a value for epochs and steps_per_epoch. 2025-08-26T19:58:36.1742464Z Default: None 2025-08-26T19:58:36.1742667Z epochs (int): The number of epochs to train for. This is used along 2025-08-26T19:58:36.1742914Z with steps_per_epoch in order to infer the total number of steps in the cycle 2025-08-26T19:58:36.1743065Z if a value for total_steps is not provided. 2025-08-26T19:58:36.1743161Z Default: None 2025-08-26T19:58:36.1743460Z steps_per_epoch (int): The number of steps per epoch to train for. This is 2025-08-26T19:58:36.1743694Z used along with epochs in order to infer the total number of steps in the 2025-08-26T19:58:36.1743845Z cycle if a value for total_steps is not provided. 2025-08-26T19:58:36.1743955Z Default: None 2025-08-26T19:58:36.1744185Z pct_start (float): The percentage of the cycle (in number of steps) spent 2025-08-26T19:58:36.1744321Z increasing the learning rate. 2025-08-26T19:58:36.1744419Z Default: 0.3 2025-08-26T19:58:36.1744547Z anneal_strategy (str): {'cos', 'linear'} 2025-08-26T19:58:36.1744812Z Specifies the annealing strategy: "cos" for cosine annealing, "linear" for 2025-08-26T19:58:36.1744916Z linear annealing. 2025-08-26T19:58:36.1745029Z Default: 'cos' 2025-08-26T19:58:36.1745229Z cycle_momentum (bool): If ``True``, momentum is cycled inversely 2025-08-26T19:58:36.1745422Z to learning rate between 'base_momentum' and 'max_momentum'. 2025-08-26T19:58:36.1745531Z Default: True 2025-08-26T19:58:36.1745747Z base_momentum (float or list): Lower momentum boundaries in the cycle 2025-08-26T19:58:36.1745963Z for each parameter group. Note that momentum is cycled inversely 2025-08-26T19:58:36.1746156Z to learning rate; at the peak of a cycle, momentum is 2025-08-26T19:58:36.1746315Z 'base_momentum' and learning rate is 'max_lr'. 2025-08-26T19:58:36.1746408Z Default: 0.85 2025-08-26T19:58:36.1746623Z max_momentum (float or list): Upper momentum boundaries in the cycle 2025-08-26T19:58:36.1746765Z for each parameter group. Functionally, 2025-08-26T19:58:36.1746961Z it defines the cycle amplitude (max_momentum - base_momentum). 2025-08-26T19:58:36.1747100Z Note that momentum is cycled inversely 2025-08-26T19:58:36.1747314Z to learning rate; at the start of a cycle, momentum is 'max_momentum' 2025-08-26T19:58:36.1747429Z and learning rate is 'base_lr' 2025-08-26T19:58:36.1747534Z Default: 0.95 2025-08-26T19:58:36.1747716Z div_factor (float): Determines the initial learning rate via 2025-08-26T19:58:36.1747841Z initial_lr = max_lr/div_factor 2025-08-26T19:58:36.1747933Z Default: 25 2025-08-26T19:58:36.1748137Z final_div_factor (float): Determines the minimum learning rate via 2025-08-26T19:58:36.1748274Z min_lr = initial_lr/final_div_factor 2025-08-26T19:58:36.1748365Z Default: 1e4 2025-08-26T19:58:36.1748620Z three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the 2025-08-26T19:58:36.1748873Z learning rate according to 'final_div_factor' instead of modifying the second 2025-08-26T19:58:36.1749146Z phase (the first two phases will be symmetrical about the step indicated by 2025-08-26T19:58:36.1749280Z 'pct_start'). 2025-08-26T19:58:36.1749499Z last_epoch (int): The index of the last batch. This parameter is used when 2025-08-26T19:58:36.1749730Z resuming a training job. Since `step()` should be invoked after each 2025-08-26T19:58:36.1749944Z batch instead of after each epoch, this number represents the total 2025-08-26T19:58:36.1750165Z number of *batches* computed, not the total number of epochs computed. 2025-08-26T19:58:36.1750368Z When last_epoch=-1, the schedule is started from the beginning. 2025-08-26T19:58:36.1750463Z Default: -1 2025-08-26T19:58:36.1750553Z 2025-08-26T19:58:36.1750637Z Example: 2025-08-26T19:58:36.1750739Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1750904Z >>> data_loader = torch.utils.data.DataLoader(...) 2025-08-26T19:58:36.1751163Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9) 2025-08-26T19:58:36.1751340Z >>> scheduler = torch.optim.lr_scheduler.OneCycleLR( 2025-08-26T19:58:36.1751554Z ... optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10 2025-08-26T19:58:36.1751639Z ... ) 2025-08-26T19:58:36.1751760Z >>> for epoch in range(10): 2025-08-26T19:58:36.1751871Z >>> for batch in data_loader: 2025-08-26T19:58:36.1751987Z >>> train_batch(...) 2025-08-26T19:58:36.1752091Z >>> optimizer.step() 2025-08-26T19:58:36.1752194Z >>> scheduler.step() 2025-08-26T19:58:36.1752291Z 2025-08-26T19:58:36.1752459Z .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png 2025-08-26T19:58:36.1752556Z 2025-08-26T19:58:36.1752845Z .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates: 2025-08-26T19:58:36.1752971Z https://arxiv.org/abs/1708.07120 2025-08-26T19:58:36.1753141Z 2025-08-26T19:58:36.1753400Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1753496Z 2025-08-26T19:58:36.1753594Z warnings.warn(msg) 2025-08-26T19:58:36.1753674Z 2025-08-26T19:58:36.1753895Z --- Parse Warning: 125 / 146 --- 2025-08-26T19:58:36.1755103Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Optimizer.load_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/optimizer.py line=867. 2025-08-26T19:58:36.1755382Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1755486Z Load the optimizer state. 2025-08-26T19:58:36.1755567Z 2025-08-26T19:58:36.1755667Z Args: 2025-08-26T19:58:36.1755869Z state_dict (dict): optimizer state. Should be an object returned 2025-08-26T19:58:36.1756014Z from a call to :meth:`state_dict`. 2025-08-26T19:58:36.1756096Z 2025-08-26T19:58:36.1756192Z .. warning:: 2025-08-26T19:58:36.1756551Z Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`, 2025-08-26T19:58:36.1756767Z as calling it beforehand will overwrite the loaded learning rates. 2025-08-26T19:58:36.1756867Z 2025-08-26T19:58:36.1756958Z .. note:: 2025-08-26T19:58:36.1757251Z The names of the parameters (if they exist under the "param_names" key of each param group 2025-08-26T19:58:36.1757436Z in :meth:`state_dict`) will not affect the loading process. 2025-08-26T19:58:36.1757764Z To use the parameters' names for custom cases (such as when the parameters in the loaded state dict 2025-08-26T19:58:36.1757934Z differ from those initialized in the optimizer), 2025-08-26T19:58:36.1758281Z a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict 2025-08-26T19:58:36.1758414Z accordingly. 2025-08-26T19:58:36.1758720Z If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override 2025-08-26T19:58:36.1759042Z the current names, if present, in the optimizer state. If they do not exist in loaded state dict, 2025-08-26T19:58:36.1759229Z the optimizer ``param_names`` will remain unchanged. 2025-08-26T19:58:36.1759314Z 2025-08-26T19:58:36.1759402Z Example: 2025-08-26T19:58:36.1759520Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1759641Z >>> model = torch.nn.Linear(10, 10) 2025-08-26T19:58:36.1759821Z >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4) 2025-08-26T19:58:36.1759977Z >>> scheduler1 = torch.optim.lr_scheduler.LinearLR( 2025-08-26T19:58:36.1760070Z ... optim, 2025-08-26T19:58:36.1760227Z ... start_factor=0.1, 2025-08-26T19:58:36.1760327Z ... end_factor=1, 2025-08-26T19:58:36.1760436Z ... total_iters=20, 2025-08-26T19:58:36.1760518Z ... ) 2025-08-26T19:58:36.1760708Z >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR( 2025-08-26T19:58:36.1760813Z ... optim, 2025-08-26T19:58:36.1760906Z ... T_max=80, 2025-08-26T19:58:36.1761015Z ... eta_min=3e-5, 2025-08-26T19:58:36.1761151Z ... ) 2025-08-26T19:58:36.1761294Z >>> lr = torch.optim.lr_scheduler.SequentialLR( 2025-08-26T19:58:36.1761399Z ... optim, 2025-08-26T19:58:36.1761533Z ... schedulers=[scheduler1, scheduler2], 2025-08-26T19:58:36.1761651Z ... milestones=[20], 2025-08-26T19:58:36.1761735Z ... ) 2025-08-26T19:58:36.1761884Z >>> lr.load_state_dict(torch.load("./save_seq.pt")) 2025-08-26T19:58:36.1762102Z >>> # now load the optimizer checkpoint after loading the LRScheduler 2025-08-26T19:58:36.1762267Z >>> optim.load_state_dict(torch.load("./save_optim.pt")) 2025-08-26T19:58:36.1762347Z 2025-08-26T19:58:36.1762439Z 2025-08-26T19:58:36.1762692Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1762811Z 2025-08-26T19:58:36.1762908Z warnings.warn(msg) 2025-08-26T19:58:36.1762986Z 2025-08-26T19:58:36.1763200Z --- Parse Warning: 126 / 146 --- 2025-08-26T19:58:36.1764091Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=AveragedModel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=120. 2025-08-26T19:58:36.1764368Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1764738Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA). 2025-08-26T19:58:36.1764831Z 2025-08-26T19:58:36.1765072Z Stochastic Weight Averaging was proposed in `Averaging Weights Leads to 2025-08-26T19:58:36.1765286Z Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii 2025-08-26T19:58:36.1765519Z Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson 2025-08-26T19:58:36.1765606Z (UAI 2018). 2025-08-26T19:58:36.1765702Z 2025-08-26T19:58:36.1765919Z Exponential Moving Average is a variation of `Polyak averaging`_, 2025-08-26T19:58:36.1766160Z but using exponential weights instead of equal weights across iterations. 2025-08-26T19:58:36.1766255Z 2025-08-26T19:58:36.1766492Z AveragedModel class creates a copy of the provided module :attr:`model` 2025-08-26T19:58:36.1766730Z on the device :attr:`device` and allows to compute running averages of the 2025-08-26T19:58:36.1766899Z parameters of the :attr:`model`. 2025-08-26T19:58:36.1766981Z 2025-08-26T19:58:36.1767076Z Args: 2025-08-26T19:58:36.1767230Z model (torch.nn.Module): model to use with SWA/EMA 2025-08-26T19:58:36.1767468Z device (torch.device, optional): if provided, the averaged model will be 2025-08-26T19:58:36.1767592Z stored on the :attr:`device` 2025-08-26T19:58:36.1767800Z avg_fn (function, optional): the averaging function used to update 2025-08-26T19:58:36.1768012Z parameters; the function must take in the current value of the 2025-08-26T19:58:36.1768232Z :class:`AveragedModel` parameter, the current value of :attr:`model` 2025-08-26T19:58:36.1768440Z parameter, and the number of models already averaged; if None, 2025-08-26T19:58:36.1768601Z an equally weighted average is used (default: None) 2025-08-26T19:58:36.1768857Z multi_avg_fn (function, optional): the averaging function used to update 2025-08-26T19:58:36.1769114Z parameters inplace; the function must take in the current values of the 2025-08-26T19:58:36.1769381Z :class:`AveragedModel` parameters as a list, the current values of :attr:`model` 2025-08-26T19:58:36.1769626Z parameters as a list, and the number of models already averaged; if None, 2025-08-26T19:58:36.1769784Z an equally weighted average is used (default: None) 2025-08-26T19:58:36.1769988Z use_buffers (bool): if ``True``, it will compute running averages for 2025-08-26T19:58:36.1770223Z both the parameters and the buffers of the model. (default: ``False``) 2025-08-26T19:58:36.1770303Z 2025-08-26T19:58:36.1770405Z Example: 2025-08-26T19:58:36.1770536Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:36.1770662Z >>> loader, optimizer, model, loss_fn = ... 2025-08-26T19:58:36.1770847Z >>> swa_model = torch.optim.swa_utils.AveragedModel(model) 2025-08-26T19:58:36.1771072Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, 2025-08-26T19:58:36.1771200Z >>> T_max=300) 2025-08-26T19:58:36.1771295Z >>> swa_start = 160 2025-08-26T19:58:36.1771435Z >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05) 2025-08-26T19:58:36.1771592Z >>> for i in range(300): 2025-08-26T19:58:36.1771709Z >>> for input, target in loader: 2025-08-26T19:58:36.1771833Z >>> optimizer.zero_grad() 2025-08-26T19:58:36.1771967Z >>> loss_fn(model(input), target).backward() 2025-08-26T19:58:36.1772073Z >>> optimizer.step() 2025-08-26T19:58:36.1772186Z >>> if i > swa_start: 2025-08-26T19:58:36.1772322Z >>> swa_model.update_parameters(model) 2025-08-26T19:58:36.1772453Z >>> swa_scheduler.step() 2025-08-26T19:58:36.1772545Z >>> else: 2025-08-26T19:58:36.1772652Z >>> scheduler.step() 2025-08-26T19:58:36.1772753Z >>> 2025-08-26T19:58:36.1772911Z >>> # Update bn statistics for the swa_model at the end 2025-08-26T19:58:36.1773091Z >>> torch.optim.swa_utils.update_bn(loader, swa_model) 2025-08-26T19:58:36.1773174Z 2025-08-26T19:58:36.1773477Z You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters. 2025-08-26T19:58:36.1773689Z If no averaging function is provided, the default is to compute 2025-08-26T19:58:36.1773838Z equally-weighted average of the weights (SWA). 2025-08-26T19:58:36.1773935Z 2025-08-26T19:58:36.1774023Z Example: 2025-08-26T19:58:36.1774153Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T19:58:36.1774377Z >>> # Compute exponential moving averages of the weights and buffers 2025-08-26T19:58:36.1774605Z >>> ema_model = torch.optim.swa_utils.AveragedModel(model, 2025-08-26T19:58:36.1774840Z >>> torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True) 2025-08-26T19:58:36.1774923Z 2025-08-26T19:58:36.1775016Z .. note:: 2025-08-26T19:58:36.1775251Z When using SWA/EMA with models containing Batch Normalization you may 2025-08-26T19:58:36.1775460Z need to update the activation statistics for Batch Normalization. 2025-08-26T19:58:36.1775709Z This can be done either by using the :meth:`torch.optim.swa_utils.update_bn` 2025-08-26T19:58:36.1775935Z or by setting :attr:`use_buffers` to `True`. The first approach updates the 2025-08-26T19:58:36.1776177Z statistics in a post-training step by passing data through the model. The 2025-08-26T19:58:36.1776432Z second does it during the parameter update phase by averaging all buffers. 2025-08-26T19:58:36.1776711Z Empirical evidence has shown that updating the statistics in normalization 2025-08-26T19:58:36.1776952Z layers increases accuracy, but you may wish to empirically test which 2025-08-26T19:58:36.1777109Z approach yields the best results in your problem. 2025-08-26T19:58:36.1777192Z 2025-08-26T19:58:36.1777291Z .. note:: 2025-08-26T19:58:36.1777551Z :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model. 2025-08-26T19:58:36.1777646Z 2025-08-26T19:58:36.1777734Z .. note:: 2025-08-26T19:58:36.1777934Z When :meth:`update_parameters` is called for the first time (i.e. 2025-08-26T19:58:36.1778132Z :attr:`n_averaged` is `0`) the parameters of `model` are copied 2025-08-26T19:58:36.1778335Z to the parameters of :class:`AveragedModel`. For every subsequent 2025-08-26T19:58:36.1778534Z call of :meth:`update_parameters` the function `avg_fn` is used 2025-08-26T19:58:36.1778647Z to update the parameters. 2025-08-26T19:58:36.1778732Z 2025-08-26T19:58:36.1778971Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2025-08-26T19:58:36.1779093Z https://arxiv.org/abs/1803.05407 2025-08-26T19:58:36.1779344Z .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should 2025-08-26T19:58:36.1779428Z Average: 2025-08-26T19:58:36.1779571Z https://arxiv.org/abs/1806.05594 2025-08-26T19:58:36.1779785Z .. _SWALP: Stochastic Weight Averaging in Low-Precision Training: 2025-08-26T19:58:36.1779900Z https://arxiv.org/abs/1904.11943 2025-08-26T19:58:36.1780140Z .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That 2025-08-26T19:58:36.1780238Z Generalizes Well: 2025-08-26T19:58:36.1780352Z https://arxiv.org/abs/2001.02312 2025-08-26T19:58:36.1780462Z .. _Polyak averaging: 2025-08-26T19:58:36.1780636Z https://paperswithcode.com/method/polyak-averaging 2025-08-26T19:58:36.1780733Z 2025-08-26T19:58:36.1780982Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1781061Z 2025-08-26T19:58:36.1781167Z warnings.warn(msg) 2025-08-26T19:58:36.1781251Z 2025-08-26T19:58:36.1781455Z --- Parse Warning: 127 / 146 --- 2025-08-26T19:58:36.1782324Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SWALR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=375. 2025-08-26T19:58:36.1782586Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1782817Z Anneals the learning rate in each parameter group to a fixed value. 2025-08-26T19:58:36.1782897Z 2025-08-26T19:58:36.1783143Z This learning rate scheduler is meant to be used with Stochastic Weight 2025-08-26T19:58:36.1783388Z Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`). 2025-08-26T19:58:36.1783498Z 2025-08-26T19:58:36.1783598Z Args: 2025-08-26T19:58:36.1783771Z optimizer (torch.optim.Optimizer): wrapped optimizer 2025-08-26T19:58:36.1783991Z swa_lrs (float or list): the learning rate value for all param groups 2025-08-26T19:58:36.1784123Z together or separately for each group. 2025-08-26T19:58:36.1784329Z annealing_epochs (int): number of epochs in the annealing phase 2025-08-26T19:58:36.1784437Z (default: 10) 2025-08-26T19:58:36.1784651Z annealing_strategy (str): "cos" or "linear"; specifies the annealing 2025-08-26T19:58:36.1784873Z strategy: "cos" for cosine annealing, "linear" for linear annealing 2025-08-26T19:58:36.1784975Z (default: "cos") 2025-08-26T19:58:36.1785156Z last_epoch (int): the index of the last epoch (default: -1) 2025-08-26T19:58:36.1785256Z 2025-08-26T19:58:36.1785492Z The :class:`SWALR` scheduler can be used together with other 2025-08-26T19:58:36.1785724Z schedulers to switch to a constant learning rate late in the training 2025-08-26T19:58:36.1785824Z as in the example below. 2025-08-26T19:58:36.1785901Z 2025-08-26T19:58:36.1786001Z Example: 2025-08-26T19:58:36.1786132Z >>> # xdoctest: +SKIP("Undefined variables") 2025-08-26T19:58:36.1786267Z >>> loader, optimizer, model = ... 2025-08-26T19:58:36.1786378Z >>> lr_lambda = lambda epoch: 0.9 2025-08-26T19:58:36.1786597Z >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer, 2025-08-26T19:58:36.1786713Z >>> lr_lambda=lr_lambda) 2025-08-26T19:58:36.1786884Z >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer, 2025-08-26T19:58:36.1787074Z >>> anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05) 2025-08-26T19:58:36.1787171Z >>> swa_start = 160 2025-08-26T19:58:36.1787272Z >>> for i in range(300): 2025-08-26T19:58:36.1787403Z >>> for input, target in loader: 2025-08-26T19:58:36.1787515Z >>> optimizer.zero_grad() 2025-08-26T19:58:36.1787665Z >>> loss_fn(model(input), target).backward() 2025-08-26T19:58:36.1787818Z >>> optimizer.step() 2025-08-26T19:58:36.1787942Z >>> if i > swa_start: 2025-08-26T19:58:36.1788067Z >>> swa_scheduler.step() 2025-08-26T19:58:36.1788154Z >>> else: 2025-08-26T19:58:36.1788258Z >>> scheduler.step() 2025-08-26T19:58:36.1788348Z 2025-08-26T19:58:36.1788573Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2025-08-26T19:58:36.1788708Z https://arxiv.org/abs/1803.05407 2025-08-26T19:58:36.1788790Z 2025-08-26T19:58:36.1789041Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1789136Z 2025-08-26T19:58:36.1789234Z warnings.warn(msg) 2025-08-26T19:58:36.1789326Z 2025-08-26T19:58:36.1789522Z --- Parse Warning: 128 / 146 --- 2025-08-26T19:58:36.1790439Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_close in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_comparison.py line=1331. 2025-08-26T19:58:36.1790714Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1790864Z Asserts that ``actual`` and ``expected`` are close. 2025-08-26T19:58:36.1790959Z 2025-08-26T19:58:36.1791327Z If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if 2025-08-26T19:58:36.1791410Z 2025-08-26T19:58:36.1791515Z .. math:: 2025-08-26T19:58:36.1791625Z 2025-08-26T19:58:36.1792001Z \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert 2025-08-26T19:58:36.1792105Z 2025-08-26T19:58:36.1792450Z Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are 2025-08-26T19:58:36.1792665Z only considered equal to each other if ``equal_nan`` is ``True``. 2025-08-26T19:58:36.1792746Z 2025-08-26T19:58:36.1792959Z In addition, they are only considered close if they have the same 2025-08-26T19:58:36.1793112Z 2025-08-26T19:58:36.1793309Z - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``), 2025-08-26T19:58:36.1793452Z - ``dtype`` (if ``check_dtype`` is ``True``), 2025-08-26T19:58:36.1793594Z - ``layout`` (if ``check_layout`` is ``True``), and 2025-08-26T19:58:36.1793732Z - stride (if ``check_stride`` is ``True``). 2025-08-26T19:58:36.1793810Z 2025-08-26T19:58:36.1794146Z If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed. 2025-08-26T19:58:36.1794248Z 2025-08-26T19:58:36.1794608Z If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are 2025-08-26T19:58:36.1794996Z checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR, 2025-08-26T19:58:36.1795224Z or ``ccol_indices`` and ``row_indices`` for CSC and BSC layouts, respectively, 2025-08-26T19:58:36.1795624Z are always checked for equality whereas the values are checked for closeness according to the definition above. 2025-08-26T19:58:36.1795703Z 2025-08-26T19:58:36.1795983Z If ``actual`` and ``expected`` are quantized, they are considered close if they have the same 2025-08-26T19:58:36.1796347Z :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the 2025-08-26T19:58:36.1796448Z definition above. 2025-08-26T19:58:36.1796546Z 2025-08-26T19:58:36.1796851Z ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which 2025-08-26T19:58:36.1797226Z :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types 2025-08-26T19:58:36.1797630Z have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s 2025-08-26T19:58:36.1798009Z or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all 2025-08-26T19:58:36.1798252Z their elements are considered close according to the above definition. 2025-08-26T19:58:36.1798328Z 2025-08-26T19:58:36.1798415Z .. note:: 2025-08-26T19:58:36.1798506Z 2025-08-26T19:58:36.1798840Z Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e. 2025-08-26T19:58:36.1799182Z :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus, 2025-08-26T19:58:36.1799461Z Python scalars of different types can be checked, but require ``check_dtype=False``. 2025-08-26T19:58:36.1799539Z 2025-08-26T19:58:36.1799636Z Args: 2025-08-26T19:58:36.1799743Z actual (Any): Actual input. 2025-08-26T19:58:36.1799872Z expected (Any): Expected input. 2025-08-26T19:58:36.1800232Z allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types 2025-08-26T19:58:36.1800391Z are allowed. Otherwise type equality is required. 2025-08-26T19:58:36.1800773Z rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default 2025-08-26T19:58:36.1801036Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2025-08-26T19:58:36.1801444Z atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default 2025-08-26T19:58:36.1801729Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2025-08-26T19:58:36.1801995Z equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal. 2025-08-26T19:58:36.1802286Z check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same 2025-08-26T19:58:36.1802535Z :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different 2025-08-26T19:58:36.1802784Z :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared. 2025-08-26T19:58:36.1803136Z check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this 2025-08-26T19:58:36.1803561Z check is disabled, tensors with different ``dtype``'s are promoted to a common ``dtype`` (according to 2025-08-26T19:58:36.1803725Z :func:`torch.promote_types`) before being compared. 2025-08-26T19:58:36.1804099Z check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this 2025-08-26T19:58:36.1804435Z check is disabled, tensors with different ``layout``'s are converted to strided tensors before being 2025-08-26T19:58:36.1804531Z compared. 2025-08-26T19:58:36.1804909Z check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride. 2025-08-26T19:58:36.1805261Z msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during 2025-08-26T19:58:36.1805633Z the comparison. Can also passed as callable in which case it will be called with the generated message and 2025-08-26T19:58:36.1805750Z should return the new message. 2025-08-26T19:58:36.1805831Z 2025-08-26T19:58:36.1805931Z Raises: 2025-08-26T19:58:36.1806164Z ValueError: If no :class:`torch.Tensor` can be constructed from an input. 2025-08-26T19:58:36.1806346Z ValueError: If only ``rtol`` or ``atol`` is specified. 2025-08-26T19:58:36.1806673Z AssertionError: If corresponding inputs are not Python scalars and are not directly related. 2025-08-26T19:58:36.1807065Z AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have 2025-08-26T19:58:36.1807179Z different types. 2025-08-26T19:58:36.1807542Z AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match. 2025-08-26T19:58:36.1807931Z AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match. 2025-08-26T19:58:36.1808250Z AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`. 2025-08-26T19:58:36.1808571Z AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same 2025-08-26T19:58:36.1808692Z :attr:`~torch.Tensor.layout`. 2025-08-26T19:58:36.1808913Z AssertionError: If only one of corresponding tensors is quantized. 2025-08-26T19:58:36.1809322Z AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s. 2025-08-26T19:58:36.1809618Z AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same 2025-08-26T19:58:36.1809753Z :attr:`~torch.Tensor.device`. 2025-08-26T19:58:36.1810087Z AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``. 2025-08-26T19:58:36.1810450Z AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride. 2025-08-26T19:58:36.1810890Z AssertionError: If the values of corresponding tensors are not close according to the definition above. 2025-08-26T19:58:36.1810973Z 2025-08-26T19:58:36.1811357Z The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching 2025-08-26T19:58:36.1811511Z ``dtype``'s, the maximum of both tolerances is used. 2025-08-26T19:58:36.1811612Z 2025-08-26T19:58:36.1811747Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1811875Z | ``dtype`` | ``rtol`` | ``atol`` | 2025-08-26T19:58:36.1812002Z +===========================+============+==========+ 2025-08-26T19:58:36.1812141Z | :attr:`~torch.float16` | ``1e-3`` | ``1e-5`` | 2025-08-26T19:58:36.1812285Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1812423Z | :attr:`~torch.bfloat16` | ``1.6e-2`` | ``1e-5`` | 2025-08-26T19:58:36.1812578Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1812729Z | :attr:`~torch.float32` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:36.1812852Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1813000Z | :attr:`~torch.float64` | ``1e-7`` | ``1e-7`` | 2025-08-26T19:58:36.1813123Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1813263Z | :attr:`~torch.complex32` | ``1e-3`` | ``1e-5`` | 2025-08-26T19:58:36.1813403Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1813566Z | :attr:`~torch.complex64` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:36.1813701Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1813844Z | :attr:`~torch.complex128` | ``1e-7`` | ``1e-7`` | 2025-08-26T19:58:36.1813964Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1814115Z | :attr:`~torch.quint8` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:36.1814238Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1814389Z | :attr:`~torch.quint2x4` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:36.1814510Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1814646Z | :attr:`~torch.quint4x2` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:36.1814812Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1814942Z | :attr:`~torch.qint8` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:36.1815080Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1815213Z | :attr:`~torch.qint32` | ``1.3e-6`` | ``1e-5`` | 2025-08-26T19:58:36.1815337Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1815468Z | other | ``0.0`` | ``0.0`` | 2025-08-26T19:58:36.1815590Z +---------------------------+------------+----------+ 2025-08-26T19:58:36.1815688Z 2025-08-26T19:58:36.1815774Z .. note:: 2025-08-26T19:58:36.1815852Z 2025-08-26T19:58:36.1816249Z :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged 2025-08-26T19:58:36.1816602Z to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might 2025-08-26T19:58:36.1816878Z define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default: 2025-08-26T19:58:36.1816957Z 2025-08-26T19:58:36.1817056Z >>> import functools 2025-08-26T19:58:36.1817326Z >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0) 2025-08-26T19:58:36.1817435Z >>> assert_equal(1e-9, 1e-10) 2025-08-26T19:58:36.1817565Z Traceback (most recent call last): 2025-08-26T19:58:36.1817651Z ... 2025-08-26T19:58:36.1817807Z AssertionError: Scalars are not equal! 2025-08-26T19:58:36.1817950Z 2025-08-26T19:58:36.1818059Z Expected 1e-10 but got 1e-09. 2025-08-26T19:58:36.1818199Z Absolute difference: 9.000000000000001e-10 2025-08-26T19:58:36.1818305Z Relative difference: 9.0 2025-08-26T19:58:36.1818384Z 2025-08-26T19:58:36.1818488Z Examples: 2025-08-26T19:58:36.1818604Z >>> # tensor to tensor comparison 2025-08-26T19:58:36.1818753Z >>> expected = torch.tensor([1e0, 1e-1, 1e-2]) 2025-08-26T19:58:36.1818889Z >>> actual = torch.acos(torch.cos(expected)) 2025-08-26T19:58:36.1819035Z >>> torch.testing.assert_close(actual, expected) 2025-08-26T19:58:36.1819131Z 2025-08-26T19:58:36.1819244Z >>> # scalar to scalar comparison 2025-08-26T19:58:36.1819339Z >>> import math 2025-08-26T19:58:36.1819464Z >>> expected = math.sqrt(2.0) 2025-08-26T19:58:36.1819575Z >>> actual = 2.0 / math.sqrt(2.0) 2025-08-26T19:58:36.1819766Z >>> torch.testing.assert_close(actual, expected) 2025-08-26T19:58:36.1819849Z 2025-08-26T19:58:36.1819975Z >>> # numpy array to numpy array comparison 2025-08-26T19:58:36.1820093Z >>> import numpy as np 2025-08-26T19:58:36.1820218Z >>> expected = np.array([1e0, 1e-1, 1e-2]) 2025-08-26T19:58:36.1820356Z >>> actual = np.arccos(np.cos(expected)) 2025-08-26T19:58:36.1820500Z >>> torch.testing.assert_close(actual, expected) 2025-08-26T19:58:36.1820579Z 2025-08-26T19:58:36.1820712Z >>> # sequence to sequence comparison 2025-08-26T19:58:36.1820812Z >>> import numpy as np 2025-08-26T19:58:36.1821080Z >>> # The types of the sequences do not have to match. They only have to have the same 2025-08-26T19:58:36.1821211Z >>> # length and their elements have to match. 2025-08-26T19:58:36.1821405Z >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)] 2025-08-26T19:58:36.1821532Z >>> actual = tuple(expected) 2025-08-26T19:58:36.1821677Z >>> torch.testing.assert_close(actual, expected) 2025-08-26T19:58:36.1821775Z 2025-08-26T19:58:36.1821893Z >>> # mapping to mapping comparison 2025-08-26T19:58:36.1822015Z >>> from collections import OrderedDict 2025-08-26T19:58:36.1822131Z >>> import numpy as np 2025-08-26T19:58:36.1822260Z >>> foo = torch.tensor(1.0) 2025-08-26T19:58:36.1822368Z >>> bar = 2.0 2025-08-26T19:58:36.1822465Z >>> baz = np.array(3.0) 2025-08-26T19:58:36.1822719Z >>> # The types and a possible ordering of mappings do not have to match. They only 2025-08-26T19:58:36.1822938Z >>> # have to have the same set of keys and their elements have to match. 2025-08-26T19:58:36.1823143Z >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)]) 2025-08-26T19:58:36.1823294Z >>> actual = {"baz": baz, "bar": bar, "foo": foo} 2025-08-26T19:58:36.1823445Z >>> torch.testing.assert_close(actual, expected) 2025-08-26T19:58:36.1823526Z 2025-08-26T19:58:36.1823664Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2025-08-26T19:58:36.1823773Z >>> actual = expected.clone() 2025-08-26T19:58:36.1823959Z >>> # By default, directly related instances can be compared 2025-08-26T19:58:36.1824180Z >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected) 2025-08-26T19:58:36.1824370Z >>> # This check can be made more strict with allow_subclasses=False 2025-08-26T19:58:36.1824501Z >>> torch.testing.assert_close( 2025-08-26T19:58:36.1824700Z ... torch.nn.Parameter(actual), expected, allow_subclasses=False 2025-08-26T19:58:36.1824800Z ... ) 2025-08-26T19:58:36.1824917Z Traceback (most recent call last): 2025-08-26T19:58:36.1825000Z ... 2025-08-26T19:58:36.1825252Z TypeError: No comparison pair was able to handle inputs of type 2025-08-26T19:58:36.1825495Z and . 2025-08-26T19:58:36.1825732Z >>> # If the inputs are not directly related, they are never considered close 2025-08-26T19:58:36.1825902Z >>> torch.testing.assert_close(actual.numpy(), expected) 2025-08-26T19:58:36.1826019Z Traceback (most recent call last): 2025-08-26T19:58:36.1826117Z ... 2025-08-26T19:58:36.1826409Z TypeError: No comparison pair was able to handle inputs of type 2025-08-26T19:58:36.1826533Z and . 2025-08-26T19:58:36.1826796Z >>> # Exceptions to these rules are Python scalars. They can be checked regardless of 2025-08-26T19:58:36.1826915Z >>> # their type if check_dtype=False. 2025-08-26T19:58:36.1827097Z >>> torch.testing.assert_close(1.0, 1, check_dtype=False) 2025-08-26T19:58:36.1827180Z 2025-08-26T19:58:36.1827328Z >>> # NaN != NaN by default. 2025-08-26T19:58:36.1827455Z >>> expected = torch.tensor(float("Nan")) 2025-08-26T19:58:36.1827563Z >>> actual = expected.clone() 2025-08-26T19:58:36.1827721Z >>> torch.testing.assert_close(actual, expected) 2025-08-26T19:58:36.1827838Z Traceback (most recent call last): 2025-08-26T19:58:36.1827933Z ... 2025-08-26T19:58:36.1828059Z AssertionError: Scalars are not close! 2025-08-26T19:58:36.1828148Z 2025-08-26T19:58:36.1828296Z Expected nan but got nan. 2025-08-26T19:58:36.1828438Z Absolute difference: nan (up to 1e-05 allowed) 2025-08-26T19:58:36.1828598Z Relative difference: nan (up to 1.3e-06 allowed) 2025-08-26T19:58:36.1828798Z >>> torch.testing.assert_close(actual, expected, equal_nan=True) 2025-08-26T19:58:36.1828903Z 2025-08-26T19:58:36.1829041Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2025-08-26T19:58:36.1829160Z >>> actual = torch.tensor([1.0, 4.0, 5.0]) 2025-08-26T19:58:36.1829317Z >>> # The default error message can be overwritten. 2025-08-26T19:58:36.1829430Z >>> torch.testing.assert_close( 2025-08-26T19:58:36.1829609Z ... actual, expected, msg="Argh, the tensors are not close!" 2025-08-26T19:58:36.1829706Z ... ) 2025-08-26T19:58:36.1829845Z Traceback (most recent call last): 2025-08-26T19:58:36.1829942Z ... 2025-08-26T19:58:36.1830094Z AssertionError: Argh, the tensors are not close! 2025-08-26T19:58:36.1830314Z >>> # If msg is a callable, it can be used to augment the generated message with 2025-08-26T19:58:36.1830427Z >>> # extra information 2025-08-26T19:58:36.1830540Z >>> torch.testing.assert_close( 2025-08-26T19:58:36.1830753Z ... actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter" 2025-08-26T19:58:36.1830840Z ... ) 2025-08-26T19:58:36.1830955Z Traceback (most recent call last): 2025-08-26T19:58:36.1831051Z ... 2025-08-26T19:58:36.1831155Z AssertionError: Header 2025-08-26T19:58:36.1831246Z 2025-08-26T19:58:36.1831366Z Tensor-likes are not close! 2025-08-26T19:58:36.1831455Z 2025-08-26T19:58:36.1831583Z Mismatched elements: 2 / 3 (66.7%) 2025-08-26T19:58:36.1831809Z Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed) 2025-08-26T19:58:36.1832039Z Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed) 2025-08-26T19:58:36.1832141Z 2025-08-26T19:58:36.1832226Z Footer 2025-08-26T19:58:36.1832323Z 2025-08-26T19:58:36.1832575Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1832686Z 2025-08-26T19:58:36.1832799Z warnings.warn(msg) 2025-08-26T19:58:36.1832907Z 2025-08-26T19:58:36.1833245Z --- Parse Warning: 129 / 146 --- 2025-08-26T19:58:36.1834179Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_pytree_node in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py line=134. 2025-08-26T19:58:36.1834446Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1834603Z Register a container-like type as pytree node. 2025-08-26T19:58:36.1834685Z 2025-08-26T19:58:36.1834786Z Args: 2025-08-26T19:58:36.1834974Z cls (type): A Python type to treat as an internal pytree node. 2025-08-26T19:58:36.1835247Z flatten_fn (callable): A function to be used during flattening, taking an instance of 2025-08-26T19:58:36.1835512Z ``cls`` and returning a pair, with (1) an iterable for the children to be flattened 2025-08-26T19:58:36.1835847Z recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be 2025-08-26T19:58:36.1835983Z passed to the ``unflatten_fn``. 2025-08-26T19:58:36.1836263Z unflatten_fn (callable): A function taking two arguments: the auxiliary data that was 2025-08-26T19:58:36.1836539Z returned by ``flatten_fn`` and stored in the treespec, and the unflattened children. 2025-08-26T19:58:36.1836697Z The function should return an instance of ``cls``. 2025-08-26T19:58:36.1836963Z serialized_type_name (str, optional): A keyword argument used to specify the fully 2025-08-26T19:58:36.1837138Z qualified name used when serializing the tree spec. 2025-08-26T19:58:36.1837449Z to_dumpable_context (callable, optional): An optional keyword argument to custom specify how 2025-08-26T19:58:36.1837743Z to convert the context of the pytree to a custom json dumpable representation. This is 2025-08-26T19:58:36.1838024Z used for json serialization, which is being used in :mod:`torch.export` right now. 2025-08-26T19:58:36.1838330Z from_dumpable_context (callable, optional): An optional keyword argument to custom specify 2025-08-26T19:58:36.1838610Z how to convert the custom json dumpable representation of the context back to the 2025-08-26T19:58:36.1838897Z original context. This is used for json deserialization, which is being used in 2025-08-26T19:58:36.1839034Z :mod:`torch.export` right now. 2025-08-26T19:58:36.1839116Z 2025-08-26T19:58:36.1839215Z Example:: 2025-08-26T19:58:36.1839313Z 2025-08-26T19:58:36.1839415Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1839580Z >>> # Registry a Python type with lambda functions 2025-08-26T19:58:36.1839688Z >>> register_pytree_node( 2025-08-26T19:58:36.1839781Z ... set, 2025-08-26T19:58:36.1839928Z ... lambda s: (sorted(s), None, None), 2025-08-26T19:58:36.1840056Z ... lambda children, _: set(children), 2025-08-26T19:58:36.1840157Z ... ) 2025-08-26T19:58:36.1840241Z 2025-08-26T19:58:36.1840499Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1840599Z 2025-08-26T19:58:36.1840698Z warnings.warn(msg) 2025-08-26T19:58:36.1840799Z 2025-08-26T19:58:36.1841004Z --- Parse Warning: 130 / 146 --- 2025-08-26T19:58:36.1841990Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SelectiveCheckpointContext in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1218. 2025-08-26T19:58:36.1842272Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1842353Z 2025-08-26T19:58:36.1842625Z Context passed to policy function during selective checkpointing. 2025-08-26T19:58:36.1842737Z 2025-08-26T19:58:36.1842964Z This class is used to pass relevant metadata to the policy function during 2025-08-26T19:58:36.1843250Z selective checkpointing. The metadata includes whether the current invocation 2025-08-26T19:58:36.1843416Z of the policy function is during recomputation or not. 2025-08-26T19:58:36.1843514Z 2025-08-26T19:58:36.1843602Z Example: 2025-08-26T19:58:36.1843707Z >>> # xdoctest: +SKIP(stub) 2025-08-26T19:58:36.1843808Z >>> 2025-08-26T19:58:36.1843935Z >>> def policy_fn(ctx, op, *args, **kwargs): 2025-08-26T19:58:36.1844046Z >>> print(ctx.is_recompute) 2025-08-26T19:58:36.1844141Z >>> 2025-08-26T19:58:36.1844415Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2025-08-26T19:58:36.1844516Z >>> 2025-08-26T19:58:36.1844660Z >>> out = torch.utils.checkpoint.checkpoint( 2025-08-26T19:58:36.1844752Z >>> fn, x, y, 2025-08-26T19:58:36.1853317Z >>> use_reentrant=False, 2025-08-26T19:58:36.1853489Z >>> context_fn=context_fn, 2025-08-26T19:58:36.1853573Z >>> ) 2025-08-26T19:58:36.1853653Z 2025-08-26T19:58:36.1853932Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1854011Z 2025-08-26T19:58:36.1854109Z warnings.warn(msg) 2025-08-26T19:58:36.1854204Z 2025-08-26T19:58:36.1854459Z --- Parse Warning: 131 / 146 --- 2025-08-26T19:58:36.1855691Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1358. 2025-08-26T19:58:36.1855959Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1856060Z 2025-08-26T19:58:36.1856303Z Helper to avoid recomputing certain ops during activation checkpointing. 2025-08-26T19:58:36.1856389Z 2025-08-26T19:58:36.1856618Z Use this with `torch.utils.checkpoint.checkpoint` to control which 2025-08-26T19:58:36.1856783Z operations are recomputed during the backward pass. 2025-08-26T19:58:36.1856885Z 2025-08-26T19:58:36.1856997Z Args: 2025-08-26T19:58:36.1857117Z policy_fn_or_list (Callable or List): 2025-08-26T19:58:36.1857381Z - If a policy function is provided, it should accept a 2025-08-26T19:58:36.1857632Z :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and 2025-08-26T19:58:36.1857853Z kwargs to the op, and return a :class:`CheckpointPolicy` enum value 2025-08-26T19:58:36.1858094Z indicating whether the execution of the op should be recomputed or not. 2025-08-26T19:58:36.1858296Z - If a list of operations is provided, it is equivalent to a policy 2025-08-26T19:58:36.1858495Z returning `CheckpointPolicy.MUST_SAVE` for the specified 2025-08-26T19:58:36.1858714Z operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other 2025-08-26T19:58:36.1858823Z operations. 2025-08-26T19:58:36.1859037Z allow_cache_entry_mutation (bool, optional): By default, an error is 2025-08-26T19:58:36.1859250Z raised if any tensors cached by selective activation checkpoint are 2025-08-26T19:58:36.1859474Z mutated in order to ensure correctness. If set to `True`, this check 2025-08-26T19:58:36.1859565Z is disabled. 2025-08-26T19:58:36.1859662Z Returns: 2025-08-26T19:58:36.1859771Z A tuple of two context managers. 2025-08-26T19:58:36.1859852Z 2025-08-26T19:58:36.1859950Z Example: 2025-08-26T19:58:36.1860057Z >>> # xdoctest: +REQUIRES(LINUX) 2025-08-26T19:58:36.1860154Z >>> import functools 2025-08-26T19:58:36.1860248Z >>> 2025-08-26T19:58:36.1860373Z >>> x = torch.rand(10, 10, requires_grad=True) 2025-08-26T19:58:36.1860554Z >>> y = torch.rand(10, 10, requires_grad=True) 2025-08-26T19:58:36.1860673Z >>> 2025-08-26T19:58:36.1860767Z >>> ops_to_save = [ 2025-08-26T19:58:36.1860896Z >>> torch.ops.aten.mm.default, 2025-08-26T19:58:36.1860979Z >>> ] 2025-08-26T19:58:36.1861076Z >>> 2025-08-26T19:58:36.1861205Z >>> def policy_fn(ctx, op, *args, **kwargs): 2025-08-26T19:58:36.1861311Z >>> if op in ops_to_save: 2025-08-26T19:58:36.1861454Z >>> return CheckpointPolicy.MUST_SAVE 2025-08-26T19:58:36.1861541Z >>> else: 2025-08-26T19:58:36.1861699Z >>> return CheckpointPolicy.PREFER_RECOMPUTE 2025-08-26T19:58:36.1861781Z >>> 2025-08-26T19:58:36.1862055Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2025-08-26T19:58:36.1862151Z >>> 2025-08-26T19:58:36.1862246Z >>> # or equivalently 2025-08-26T19:58:36.1862570Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save) 2025-08-26T19:58:36.1862658Z >>> 2025-08-26T19:58:36.1862746Z >>> def fn(x, y): 2025-08-26T19:58:36.1862962Z >>> return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y 2025-08-26T19:58:36.1863043Z >>> 2025-08-26T19:58:36.1863182Z >>> out = torch.utils.checkpoint.checkpoint( 2025-08-26T19:58:36.1863283Z >>> fn, x, y, 2025-08-26T19:58:36.1863384Z >>> use_reentrant=False, 2025-08-26T19:58:36.1863501Z >>> context_fn=context_fn, 2025-08-26T19:58:36.1863579Z >>> ) 2025-08-26T19:58:36.1863657Z 2025-08-26T19:58:36.1863922Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1863997Z 2025-08-26T19:58:36.1864105Z warnings.warn(msg) 2025-08-26T19:58:36.1864182Z 2025-08-26T19:58:36.1864389Z --- Parse Warning: 132 / 146 --- 2025-08-26T19:58:36.1865327Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CppExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1159. 2025-08-26T19:58:36.1865590Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1865685Z 2025-08-26T19:58:36.1865828Z Create a :class:`setuptools.Extension` for C++. 2025-08-26T19:58:36.1865906Z 2025-08-26T19:58:36.1866197Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-08-26T19:58:36.1866422Z bare minimum (but often sufficient) arguments to build a C++ extension. 2025-08-26T19:58:36.1866513Z 2025-08-26T19:58:36.1866719Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-08-26T19:58:36.1866866Z constructor. Full list arguments can be found at 2025-08-26T19:58:36.1867206Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2025-08-26T19:58:36.1867287Z 2025-08-26T19:58:36.1867400Z .. warning:: 2025-08-26T19:58:36.1867629Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-08-26T19:58:36.1867836Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-08-26T19:58:36.1868045Z the user's responsibility in their library to not use APIs from 2025-08-26T19:58:36.1868275Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-08-26T19:58:36.1868504Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-08-26T19:58:36.1868714Z example, to give access to custom ops from python, the library should 2025-08-26T19:58:36.1868841Z register the ops through the dispatcher. 2025-08-26T19:58:36.1868933Z 2025-08-26T19:58:36.1869154Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-08-26T19:58:36.1869369Z as a compile flag when py_limited_api is specified as an option for 2025-08-26T19:58:36.1869626Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-08-26T19:58:36.1869843Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-08-26T19:58:36.1870068Z safety, and sanity in order to encourage best practices. To target a 2025-08-26T19:58:36.1870282Z different version, set min_supported_cpython to the hexcode of the 2025-08-26T19:58:36.1870402Z CPython version of choice. 2025-08-26T19:58:36.1870482Z 2025-08-26T19:58:36.1870569Z Example: 2025-08-26T19:58:36.1870682Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1870832Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-26T19:58:36.1870958Z >>> from setuptools import setup 2025-08-26T19:58:36.1871177Z >>> from torch.utils.cpp_extension import BuildExtension, CppExtension 2025-08-26T19:58:36.1871264Z >>> setup( 2025-08-26T19:58:36.1871377Z ... name='extension', 2025-08-26T19:58:36.1871471Z ... ext_modules=[ 2025-08-26T19:58:36.1871611Z ... CppExtension( 2025-08-26T19:58:36.1871712Z ... name='extension', 2025-08-26T19:58:36.1871832Z ... sources=['extension.cpp'], 2025-08-26T19:58:36.1871969Z ... extra_compile_args=['-g'], 2025-08-26T19:58:36.1872120Z ... extra_link_args=['-Wl,--no-as-needed', '-lm']) 2025-08-26T19:58:36.1872219Z ... ], 2025-08-26T19:58:36.1872309Z ... cmdclass={ 2025-08-26T19:58:36.1872421Z ... 'build_ext': BuildExtension 2025-08-26T19:58:36.1872515Z ... }) 2025-08-26T19:58:36.1872594Z 2025-08-26T19:58:36.1872849Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1872940Z 2025-08-26T19:58:36.1873114Z warnings.warn(msg) 2025-08-26T19:58:36.1873214Z 2025-08-26T19:58:36.1873423Z --- Parse Warning: 133 / 146 --- 2025-08-26T19:58:36.1874350Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CUDAExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1229. 2025-08-26T19:58:36.1874632Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1874715Z 2025-08-26T19:58:36.1874891Z Create a :class:`setuptools.Extension` for CUDA/C++. 2025-08-26T19:58:36.1875007Z 2025-08-26T19:58:36.1875251Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-08-26T19:58:36.1875467Z bare minimum (but often sufficient) arguments to build a CUDA/C++ 2025-08-26T19:58:36.1875700Z extension. This includes the CUDA include path, library path and runtime 2025-08-26T19:58:36.1875820Z library. 2025-08-26T19:58:36.1875898Z 2025-08-26T19:58:36.1876106Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-08-26T19:58:36.1876278Z constructor. Full list arguments can be found at 2025-08-26T19:58:36.1876608Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2025-08-26T19:58:36.1876709Z 2025-08-26T19:58:36.1876799Z .. warning:: 2025-08-26T19:58:36.1877032Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-08-26T19:58:36.1877258Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-08-26T19:58:36.1877457Z the user's responsibility in their library to not use APIs from 2025-08-26T19:58:36.1877701Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-08-26T19:58:36.1877917Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-08-26T19:58:36.1878126Z example, to give access to custom ops from python, the library should 2025-08-26T19:58:36.1878268Z register the ops through the dispatcher. 2025-08-26T19:58:36.1878376Z 2025-08-26T19:58:36.1878615Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-08-26T19:58:36.1878849Z as a compile flag when py_limited_api is specified as an option for 2025-08-26T19:58:36.1879060Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-08-26T19:58:36.1879288Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-08-26T19:58:36.1879501Z safety, and sanity in order to encourage best practices. To target a 2025-08-26T19:58:36.1879729Z different version, set min_supported_cpython to the hexcode of the 2025-08-26T19:58:36.1879833Z CPython version of choice. 2025-08-26T19:58:36.1879911Z 2025-08-26T19:58:36.1880008Z Example: 2025-08-26T19:58:36.1880108Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1880270Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-26T19:58:36.1880383Z >>> from setuptools import setup 2025-08-26T19:58:36.1880633Z >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension 2025-08-26T19:58:36.1880734Z >>> setup( 2025-08-26T19:58:36.1880836Z ... name='cuda_extension', 2025-08-26T19:58:36.1880946Z ... ext_modules=[ 2025-08-26T19:58:36.1881046Z ... CUDAExtension( 2025-08-26T19:58:36.1881158Z ... name='cuda_extension', 2025-08-26T19:58:36.1881339Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-08-26T19:58:36.1881466Z ... extra_compile_args={'cxx': ['-g'], 2025-08-26T19:58:36.1881601Z ... 'nvcc': ['-O2']}, 2025-08-26T19:58:36.1881755Z ... extra_link_args=['-Wl,--no-as-needed', '-lcuda']) 2025-08-26T19:58:36.1881838Z ... ], 2025-08-26T19:58:36.1881947Z ... cmdclass={ 2025-08-26T19:58:36.1882062Z ... 'build_ext': BuildExtension 2025-08-26T19:58:36.1882160Z ... }) 2025-08-26T19:58:36.1882238Z 2025-08-26T19:58:36.1882342Z Compute capabilities: 2025-08-26T19:58:36.1882434Z 2025-08-26T19:58:36.1882738Z By default the extension will be compiled to run on all archs of the cards visible during the 2025-08-26T19:58:36.1883042Z building process of the extension, plus PTX. If down the road a new card is installed the 2025-08-26T19:58:36.1883361Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's 2025-08-26T19:58:36.1883664Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch 2025-08-26T19:58:36.1883961Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does 2025-08-26T19:58:36.1884083Z support (see below for details on PTX). 2025-08-26T19:58:36.1884176Z 2025-08-26T19:58:36.1884486Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which 2025-08-26T19:58:36.1884606Z CCs you want the extension to support: 2025-08-26T19:58:36.1884704Z 2025-08-26T19:58:36.1884890Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py`` 2025-08-26T19:58:36.1885137Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py`` 2025-08-26T19:58:36.1885217Z 2025-08-26T19:58:36.1885536Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified 2025-08-26T19:58:36.1885867Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >= 2025-08-26T19:58:36.1886170Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with 2025-08-26T19:58:36.1886478Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to 2025-08-26T19:58:36.1886801Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on 2025-08-26T19:58:36.1887075Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better 2025-08-26T19:58:36.1887479Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6, 2025-08-26T19:58:36.1887793Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but 2025-08-26T19:58:36.1887904Z "8.0 8.6" would be better. 2025-08-26T19:58:36.1887985Z 2025-08-26T19:58:36.1888302Z Note that while it's possible to include all supported archs, the more archs get included the 2025-08-26T19:58:36.1888593Z slower the building process will be, as it will build a separate kernel image for each arch. 2025-08-26T19:58:36.1888674Z 2025-08-26T19:58:36.1889020Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows. 2025-08-26T19:58:36.1889235Z To workaround the issue, move python binding logic to pure C++ file. 2025-08-26T19:58:36.1889332Z 2025-08-26T19:58:36.1889424Z Example use: 2025-08-26T19:58:36.1889522Z #include 2025-08-26T19:58:36.1889722Z at::Tensor SigmoidAlphaBlendForwardCuda(....) 2025-08-26T19:58:36.1889805Z 2025-08-26T19:58:36.1889892Z Instead of: 2025-08-26T19:58:36.1890012Z #include 2025-08-26T19:58:36.1890171Z torch::Tensor SigmoidAlphaBlendForwardCuda(...) 2025-08-26T19:58:36.1890262Z 2025-08-26T19:58:36.1890538Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460 2025-08-26T19:58:36.1891049Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48 2025-08-26T19:58:36.1891142Z 2025-08-26T19:58:36.1891247Z Relocatable device code linking: 2025-08-26T19:58:36.1891340Z 2025-08-26T19:58:36.1891620Z If you want to reference device symbols across compilation units (across object files), 2025-08-26T19:58:36.1891879Z the object files need to be built with `relocatable device code` (-rdc=true or -dc). 2025-08-26T19:58:36.1892262Z An exception to this rule is "dynamic parallelism" (nested kernel launches) which is not used a lot anymore. 2025-08-26T19:58:36.1892595Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it. 2025-08-26T19:58:36.1892932Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step 2025-08-26T19:58:36.1893141Z helps reduce the protentional perf degradation of `-rdc`. 2025-08-26T19:58:36.1893322Z Note that it needs to be used at both steps to be useful. 2025-08-26T19:58:36.1893403Z 2025-08-26T19:58:36.1893773Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step. 2025-08-26T19:58:36.1893961Z There is also a case where `-dlink` is used without `-rdc`: 2025-08-26T19:58:36.1894218Z when an extension is linked against a static lib containing rdc-compiled objects 2025-08-26T19:58:36.1894444Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem). 2025-08-26T19:58:36.1894528Z 2025-08-26T19:58:36.1894729Z Note: Ninja is required to build a CUDA Extension with RDC linking. 2025-08-26T19:58:36.1894824Z 2025-08-26T19:58:36.1894910Z Example: 2025-08-26T19:58:36.1895019Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1895169Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-26T19:58:36.1895268Z >>> CUDAExtension( 2025-08-26T19:58:36.1895387Z ... name='cuda_extension', 2025-08-26T19:58:36.1895550Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-08-26T19:58:36.1895644Z ... dlink=True, 2025-08-26T19:58:36.1895778Z ... dlink_libraries=["dlink_lib"], 2025-08-26T19:58:36.1895900Z ... extra_compile_args={'cxx': ['-g'], 2025-08-26T19:58:36.1896034Z ... 'nvcc': ['-O2', '-rdc=true']}) 2025-08-26T19:58:36.1896139Z 2025-08-26T19:58:36.1896394Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1896514Z 2025-08-26T19:58:36.1896608Z warnings.warn(msg) 2025-08-26T19:58:36.1896700Z 2025-08-26T19:58:36.1896908Z --- Parse Warning: 134 / 146 --- 2025-08-26T19:58:36.1897836Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyclExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1420. 2025-08-26T19:58:36.1898114Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1898194Z 2025-08-26T19:58:36.1898372Z Creates a :class:`setuptools.Extension` for SYCL/C++. 2025-08-26T19:58:36.1898453Z 2025-08-26T19:58:36.1898693Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-08-26T19:58:36.1898909Z bare minimum (but often sufficient) arguments to build a SYCL/C++ 2025-08-26T19:58:36.1899029Z extension. 2025-08-26T19:58:36.1899123Z 2025-08-26T19:58:36.1899330Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-08-26T19:58:36.1899419Z constructor. 2025-08-26T19:58:36.1899510Z 2025-08-26T19:58:36.1899599Z .. warning:: 2025-08-26T19:58:36.1899840Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-08-26T19:58:36.1900051Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-08-26T19:58:36.1900246Z the user's responsibility in their library to not use APIs from 2025-08-26T19:58:36.1900488Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-08-26T19:58:36.1900703Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-08-26T19:58:36.1900925Z example, to give access to custom ops from python, the library should 2025-08-26T19:58:36.1901056Z register the ops through the dispatcher. 2025-08-26T19:58:36.1901136Z 2025-08-26T19:58:36.1901373Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-08-26T19:58:36.1901576Z as a compile flag when py_limited_api is specified as an option for 2025-08-26T19:58:36.1901799Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-08-26T19:58:36.1902012Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-08-26T19:58:36.1902244Z safety, and sanity in order to encourage best practices. To target a 2025-08-26T19:58:36.1902474Z different version, set min_supported_cpython to the hexcode of the 2025-08-26T19:58:36.1902581Z CPython version of choice. 2025-08-26T19:58:36.1902672Z 2025-08-26T19:58:36.1902757Z Example: 2025-08-26T19:58:36.1902853Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1903016Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-26T19:58:36.1903244Z >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension 2025-08-26T19:58:36.1903344Z >>> setup( 2025-08-26T19:58:36.1903450Z ... name='xpu_extension', 2025-08-26T19:58:36.1903544Z ... ext_modules=[ 2025-08-26T19:58:36.1903654Z ... SyclExtension( 2025-08-26T19:58:36.1903770Z ... name='xpu_extension', 2025-08-26T19:58:36.1903951Z ... sources=['extension.cpp', 'extension_kernel.cpp'], 2025-08-26T19:58:36.1904134Z ... extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']}) 2025-08-26T19:58:36.1904218Z ... ], 2025-08-26T19:58:36.1904327Z ... cmdclass={ 2025-08-26T19:58:36.1904442Z ... 'build_ext': BuildExtension 2025-08-26T19:58:36.1904543Z ... }) 2025-08-26T19:58:36.1904621Z 2025-08-26T19:58:36.1904920Z By default the extension will be compiled to run on all archs of the cards visible during the 2025-08-26T19:58:36.1905217Z building process of the extension. If down the road a new card is installed the 2025-08-26T19:58:36.1905495Z extension may need to be recompiled. You can override the default behavior using 2025-08-26T19:58:36.1905817Z `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension 2025-08-26T19:58:36.1905908Z to support: 2025-08-26T19:58:36.1905984Z 2025-08-26T19:58:36.1906195Z ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py`` 2025-08-26T19:58:36.1906273Z 2025-08-26T19:58:36.1906587Z Note that while it's possible to include all supported archs, the more archs get included the 2025-08-26T19:58:36.1906878Z slower the building process will be, as it will build a separate kernel image for each arch. 2025-08-26T19:58:36.1906955Z 2025-08-26T19:58:36.1907107Z Note: Ninja is required to build SyclExtension. 2025-08-26T19:58:36.1907186Z 2025-08-26T19:58:36.1907450Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1907534Z 2025-08-26T19:58:36.1907657Z warnings.warn(msg) 2025-08-26T19:58:36.1907748Z 2025-08-26T19:58:36.1907948Z --- Parse Warning: 135 / 146 --- 2025-08-26T19:58:36.1908817Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1597. 2025-08-26T19:58:36.1909101Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1909183Z 2025-08-26T19:58:36.1909346Z Load a PyTorch C++ extension just-in-time (JIT). 2025-08-26T19:58:36.1909439Z 2025-08-26T19:58:36.1909651Z To load an extension, a Ninja build file is emitted, which is used to 2025-08-26T19:58:36.1909858Z compile the given sources into a dynamic library. This library is 2025-08-26T19:58:36.1910098Z subsequently loaded into the current Python process as a module and 2025-08-26T19:58:36.1910230Z returned from this function, ready for use. 2025-08-26T19:58:36.1910326Z 2025-08-26T19:58:36.1910530Z By default, the directory to which the build file is emitted and the 2025-08-26T19:58:36.1910762Z resulting library compiled to is ``/torch_extensions/``, where 2025-08-26T19:58:36.1910981Z ```` is the temporary folder on the current platform and ```` 2025-08-26T19:58:36.1911225Z the name of the extension. This location can be overridden in two ways. 2025-08-26T19:58:36.1911450Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it 2025-08-26T19:58:36.1911667Z replaces ``/torch_extensions`` and all extensions will be compiled 2025-08-26T19:58:36.1911886Z into subfolders of this directory. Second, if the ``build_directory`` 2025-08-26T19:58:36.1912131Z argument to this function is supplied, it overrides the entire path, i.e. 2025-08-26T19:58:36.1912295Z the library will be compiled into that folder directly. 2025-08-26T19:58:36.1912400Z 2025-08-26T19:58:36.1912612Z To compile the sources, the default system compiler (``c++``) is used, 2025-08-26T19:58:36.1912864Z which can be overridden by setting the ``CXX`` environment variable. To pass 2025-08-26T19:58:36.1913163Z additional arguments to the compilation process, ``extra_cflags`` or 2025-08-26T19:58:36.1913387Z ``extra_ldflags`` can be provided. For example, to compile your extension 2025-08-26T19:58:36.1913617Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use 2025-08-26T19:58:36.1913772Z ``extra_cflags`` to pass further include directories. 2025-08-26T19:58:36.1913872Z 2025-08-26T19:58:36.1914108Z CUDA support with mixed compilation is provided. Simply pass CUDA source 2025-08-26T19:58:36.1914289Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be 2025-08-26T19:58:36.1914547Z detected and compiled with nvcc rather than the C++ compiler. This includes 2025-08-26T19:58:36.1914798Z passing the CUDA lib64 directory as a library directory, and linking 2025-08-26T19:58:36.1914989Z ``cudart``. You can pass additional flags to nvcc via 2025-08-26T19:58:36.1915193Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various 2025-08-26T19:58:36.1915430Z heuristics for finding the CUDA install directory are used, which usually 2025-08-26T19:58:36.1915655Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the 2025-08-26T19:58:36.1915745Z safest option. 2025-08-26T19:58:36.1915835Z 2025-08-26T19:58:36.1916068Z SYCL support with mixed compilation is provided. Simply pass SYCL source 2025-08-26T19:58:36.1916263Z files (``.sycl``) along with other sources. Such files will be detected 2025-08-26T19:58:36.1916494Z and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather 2025-08-26T19:58:36.1916699Z than the C++ compiler. You can pass additional flags to SYCL compiler 2025-08-26T19:58:36.1916935Z via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++. 2025-08-26T19:58:36.1917144Z SYCL compiler is expected to be found via system PATH environment 2025-08-26T19:58:36.1917227Z variable. 2025-08-26T19:58:36.1917322Z 2025-08-26T19:58:36.1917404Z Args: 2025-08-26T19:58:36.1917627Z name: The name of the extension to build. This MUST be the same as the 2025-08-26T19:58:36.1917736Z name of the pybind11 module! 2025-08-26T19:58:36.1917937Z sources: A list of relative or absolute paths to C++ source files. 2025-08-26T19:58:36.1918177Z extra_cflags: optional list of compiler flags to forward to the build. 2025-08-26T19:58:36.1918394Z extra_cuda_cflags: optional list of compiler flags to forward to nvcc 2025-08-26T19:58:36.1918512Z when building CUDA sources. 2025-08-26T19:58:36.1918729Z extra_sycl_cflags: optional list of compiler flags to forward to SYCL 2025-08-26T19:58:36.1918853Z compiler when building SYCL sources. 2025-08-26T19:58:36.1919088Z extra_ldflags: optional list of linker flags to forward to the build. 2025-08-26T19:58:36.1919307Z extra_include_paths: optional list of include directories to forward 2025-08-26T19:58:36.1919415Z to the build. 2025-08-26T19:58:36.1919596Z build_directory: optional path to use as build workspace. 2025-08-26T19:58:36.1919773Z verbose: If ``True``, turns on verbose logging of load steps. 2025-08-26T19:58:36.1920043Z with_cuda: Determines whether CUDA headers and libraries are added to 2025-08-26T19:58:36.1920203Z the build. If set to ``None`` (default), this value is 2025-08-26T19:58:36.1920419Z automatically determined based on the existence of ``.cu`` or 2025-08-26T19:58:36.1920589Z ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers 2025-08-26T19:58:36.1920700Z and libraries to be included. 2025-08-26T19:58:36.1920936Z with_sycl: Determines whether SYCL headers and libraries are added to 2025-08-26T19:58:36.1921098Z the build. If set to ``None`` (default), this value is 2025-08-26T19:58:36.1921320Z automatically determined based on the existence of ``.sycl`` in 2025-08-26T19:58:36.1921481Z ``sources``. Set it to `True`` to force SYCL headers and 2025-08-26T19:58:36.1921587Z libraries to be included. 2025-08-26T19:58:36.1921805Z is_python_module: If ``True`` (default), imports the produced shared 2025-08-26T19:58:36.1921989Z library as a Python module. If ``False``, behavior depends on 2025-08-26T19:58:36.1922099Z ``is_standalone``. 2025-08-26T19:58:36.1922301Z is_standalone: If ``False`` (default) loads the constructed extension 2025-08-26T19:58:36.1922495Z into the process as a plain dynamic library. If ``True``, build a 2025-08-26T19:58:36.1922615Z standalone executable. 2025-08-26T19:58:36.1922723Z 2025-08-26T19:58:36.1922820Z Returns: 2025-08-26T19:58:36.1922962Z If ``is_python_module`` is ``True``: 2025-08-26T19:58:36.1923137Z Returns the loaded PyTorch extension as a Python module. 2025-08-26T19:58:36.1923293Z 2025-08-26T19:58:36.1923492Z If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``: 2025-08-26T19:58:36.1923718Z Returns nothing. (The shared library is loaded into the process as 2025-08-26T19:58:36.1923815Z a side effect.) 2025-08-26T19:58:36.1923895Z 2025-08-26T19:58:36.1924023Z If ``is_standalone`` is ``True``. 2025-08-26T19:58:36.1924221Z Return the path to the executable. (On Windows, TORCH_LIB_PATH is 2025-08-26T19:58:36.1924412Z added to the PATH environment variable as a side effect.) 2025-08-26T19:58:36.1924492Z 2025-08-26T19:58:36.1924578Z Example: 2025-08-26T19:58:36.1924687Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1924824Z >>> from torch.utils.cpp_extension import load 2025-08-26T19:58:36.1924959Z >>> module = load( 2025-08-26T19:58:36.1925062Z ... name='extension', 2025-08-26T19:58:36.1925218Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-08-26T19:58:36.1925332Z ... extra_cflags=['-O2'], 2025-08-26T19:58:36.1925423Z ... verbose=True) 2025-08-26T19:58:36.1925500Z 2025-08-26T19:58:36.1925767Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1925844Z 2025-08-26T19:58:36.1925950Z warnings.warn(msg) 2025-08-26T19:58:36.1926026Z 2025-08-26T19:58:36.1926240Z --- Parse Warning: 136 / 146 --- 2025-08-26T19:58:36.1927161Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_inline in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1882. 2025-08-26T19:58:36.1927421Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1927521Z 2025-08-26T19:58:36.1927729Z Load a PyTorch C++ extension just-in-time (JIT) from string sources. 2025-08-26T19:58:36.1927808Z 2025-08-26T19:58:36.1928057Z This function behaves exactly like :func:`load`, but takes its sources as 2025-08-26T19:58:36.1928284Z strings rather than filenames. These strings are stored to files in the 2025-08-26T19:58:36.1928536Z build directory, after which the behavior of :func:`load_inline` is 2025-08-26T19:58:36.1928637Z identical to :func:`load`. 2025-08-26T19:58:36.1928715Z 2025-08-26T19:58:36.1928809Z See `the 2025-08-26T19:58:36.1929135Z tests `_ 2025-08-26T19:58:36.1929276Z for good examples of using this function. 2025-08-26T19:58:36.1929354Z 2025-08-26T19:58:36.1929587Z Sources may omit two required parts of a typical non-inline C++ extension: 2025-08-26T19:58:36.1929846Z the necessary header includes, as well as the (pybind11) binding code. More 2025-08-26T19:58:36.1930084Z precisely, strings passed to ``cpp_sources`` are first concatenated into a 2025-08-26T19:58:36.1930284Z single ``.cpp`` file. This file is then prepended with ``#include 2025-08-26T19:58:36.1930407Z `` 2025-08-26T19:58:36.1930485Z 2025-08-26T19:58:36.1930727Z Furthermore, if the ``functions`` argument is supplied, bindings will be 2025-08-26T19:58:36.1930962Z automatically generated for each function specified. ``functions`` can 2025-08-26T19:58:36.1931194Z either be a list of function names, or a dictionary mapping from function 2025-08-26T19:58:36.1931415Z names to docstrings. If a list is given, the name of each function is used 2025-08-26T19:58:36.1931505Z as its docstring. 2025-08-26T19:58:36.1931595Z 2025-08-26T19:58:36.1931807Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu`` 2025-08-26T19:58:36.1932021Z file and prepended with ``torch/types.h``, ``cuda.h`` and 2025-08-26T19:58:36.1932255Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled 2025-08-26T19:58:36.1932476Z separately, but ultimately linked into a single library. Note that no 2025-08-26T19:58:36.1932713Z bindings are generated for functions in ``cuda_sources`` per se. To bind 2025-08-26T19:58:36.1932925Z to a CUDA kernel, you must create a C++ function that calls it, and either 2025-08-26T19:58:36.1933151Z declare or define this C++ function in one of the ``cpp_sources`` (and 2025-08-26T19:58:36.1933257Z include its name in ``functions``). 2025-08-26T19:58:36.1933338Z 2025-08-26T19:58:36.1933569Z The sources in ``sycl_sources`` are concatenated into a separate ``.sycl`` 2025-08-26T19:58:36.1933781Z file and prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes. 2025-08-26T19:58:36.1933989Z The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately 2025-08-26T19:58:36.1934231Z linked into a single library. Note that no bindings are generated for 2025-08-26T19:58:36.1934461Z functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must 2025-08-26T19:58:36.1934671Z create a C++ function that calls it, and either declare or define this 2025-08-26T19:58:36.1934858Z C++ function in one of the ``cpp_sources`` (and include its name 2025-08-26T19:58:36.1934968Z in ``functions``). 2025-08-26T19:58:36.1935049Z 2025-08-26T19:58:36.1935126Z 2025-08-26T19:58:36.1935219Z 2025-08-26T19:58:36.1935399Z See :func:`load` for a description of arguments omitted below. 2025-08-26T19:58:36.1935491Z 2025-08-26T19:58:36.1935573Z Args: 2025-08-26T19:58:36.1935787Z cpp_sources: A string, or list of strings, containing C++ source code. 2025-08-26T19:58:36.1936022Z cuda_sources: A string, or list of strings, containing CUDA source code. 2025-08-26T19:58:36.1936242Z sycl_sources: A string, or list of strings, containing SYCL source code. 2025-08-26T19:58:36.1936466Z functions: A list of function names for which to generate function 2025-08-26T19:58:36.1936676Z bindings. If a dictionary is given, it should map function names to 2025-08-26T19:58:36.1936857Z docstrings (which are otherwise just the function names). 2025-08-26T19:58:36.1937090Z with_cuda: Determines whether CUDA headers and libraries are added to 2025-08-26T19:58:36.1937274Z the build. If set to ``None`` (default), this value is 2025-08-26T19:58:36.1937495Z automatically determined based on whether ``cuda_sources`` is 2025-08-26T19:58:36.1937646Z provided. Set it to ``True`` to force CUDA headers 2025-08-26T19:58:36.1937754Z and libraries to be included. 2025-08-26T19:58:36.1937990Z with_sycl: Determines whether SYCL headers and libraries are added to 2025-08-26T19:58:36.1938147Z the build. If set to ``None`` (default), this value is 2025-08-26T19:58:36.1938367Z automatically determined based on whether ``sycl_sources`` is 2025-08-26T19:58:36.1938519Z provided. Set it to ``True`` to force SYCL headers 2025-08-26T19:58:36.1938642Z and libraries to be included. 2025-08-26T19:58:36.1938850Z with_pytorch_error_handling: Determines whether pytorch error and 2025-08-26T19:58:36.1939047Z warning macros are handled by pytorch instead of pybind. To do 2025-08-26T19:58:36.1939274Z this, each function ``foo`` is called via an intermediary ``_safe_foo`` 2025-08-26T19:58:36.1939472Z function. This redirection might cause issues in obscure cases 2025-08-26T19:58:36.1939667Z of cpp. This flag should be set to ``False`` when this redirect 2025-08-26T19:58:36.1939764Z causes issues. 2025-08-26T19:58:36.1940014Z no_implicit_headers: If ``True``, skips automatically adding headers, most notably 2025-08-26T19:58:36.1940250Z ``#include `` and ``#include `` lines. 2025-08-26T19:58:36.1940465Z Use this option to improve cold start times when you 2025-08-26T19:58:36.1940740Z already include the necessary headers in your source code. Default: ``False``. 2025-08-26T19:58:36.1940821Z 2025-08-26T19:58:36.1940904Z Example: 2025-08-26T19:58:36.1941064Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-26T19:58:36.1941224Z >>> from torch.utils.cpp_extension import load_inline 2025-08-26T19:58:36.1941326Z >>> source = """ 2025-08-26T19:58:36.1941478Z at::Tensor sin_add(at::Tensor x, at::Tensor y) { 2025-08-26T19:58:36.1941578Z return x.sin() + y.sin(); 2025-08-26T19:58:36.1941673Z } 2025-08-26T19:58:36.1941755Z """ 2025-08-26T19:58:36.1941906Z >>> module = load_inline(name='inline_extension', 2025-08-26T19:58:36.1942029Z ... cpp_sources=[source], 2025-08-26T19:58:36.1942148Z ... functions=['sin_add']) 2025-08-26T19:58:36.1942272Z 2025-08-26T19:58:36.1942361Z .. note:: 2025-08-26T19:58:36.1942600Z Since load_inline will just-in-time compile the source code, please ensure 2025-08-26T19:58:36.1942848Z that you have the right toolchains installed in the runtime. For example, 2025-08-26T19:58:36.1943066Z when loading C++, make sure a C++ compiler is available. If you're loading 2025-08-26T19:58:36.1943329Z a CUDA extension, you will need to additionally install the corresponding CUDA 2025-08-26T19:58:36.1943577Z toolkit (nvcc and any other dependencies your code has). Compiling toolchains 2025-08-26T19:58:36.1943827Z are not included when you install torch and must be additionally installed. 2025-08-26T19:58:36.1943909Z 2025-08-26T19:58:36.1944160Z During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build 2025-08-26T19:58:36.1944390Z the extension. This may use up too many resources on some systems. One 2025-08-26T19:58:36.1944618Z can control the number of workers by setting the `MAX_JOBS` environment 2025-08-26T19:58:36.1944747Z variable to a non-negative number. 2025-08-26T19:58:36.1944827Z 2025-08-26T19:58:36.1945077Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1945171Z 2025-08-26T19:58:36.1945267Z warnings.warn(msg) 2025-08-26T19:58:36.1945346Z 2025-08-26T19:58:36.1945595Z --- Parse Warning: 137 / 146 --- 2025-08-26T19:58:36.1946584Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ThroughputBenchmark in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/throughput_benchmark.py line=61. 2025-08-26T19:58:36.1946862Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1946946Z 2025-08-26T19:58:36.1947256Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark. 2025-08-26T19:58:36.1947339Z 2025-08-26T19:58:36.1947636Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible 2025-08-26T19:58:36.1947903Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference 2025-08-26T19:58:36.1948134Z server like load. It can emulate multiple calling threads to a single module 2025-08-26T19:58:36.1948394Z provided. In the future we plan to enhance this component to support inter and 2025-08-26T19:58:36.1948639Z intra-op parallelism as well as multiple models running in a single process. 2025-08-26T19:58:36.1948721Z 2025-08-26T19:58:36.1948985Z Please note that even though nn.Module is supported, it might incur an overhead 2025-08-26T19:58:36.1949206Z from the need to hold GIL every time we execute Python code or pass around 2025-08-26T19:58:36.1949455Z inputs as Python objects. As soon as you have a ScriptModule version of your 2025-08-26T19:58:36.1949718Z model for inference deployment it is better to switch to using it in this 2025-08-26T19:58:36.1949861Z benchmark. 2025-08-26T19:58:36.1949951Z 2025-08-26T19:58:36.1950039Z Example:: 2025-08-26T19:58:36.1950130Z 2025-08-26T19:58:36.1950250Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T19:58:36.1950391Z >>> from torch.utils import ThroughputBenchmark 2025-08-26T19:58:36.1950532Z >>> bench = ThroughputBenchmark(my_module) 2025-08-26T19:58:36.1950691Z >>> # Pre-populate benchmark's data set with the inputs 2025-08-26T19:58:36.1950805Z >>> for input in inputs: 2025-08-26T19:58:36.1951025Z ... # Both args and kwargs work, same as any PyTorch Module / ScriptModule 2025-08-26T19:58:36.1951155Z ... bench.add_input(input[0], x2=input[1]) 2025-08-26T19:58:36.1951364Z >>> # Inputs supplied above are randomly used during the execution 2025-08-26T19:58:36.1951471Z >>> stats = bench.benchmark( 2025-08-26T19:58:36.1951628Z ... num_calling_threads=4, 2025-08-26T19:58:36.1951735Z ... num_warmup_iters = 100, 2025-08-26T19:58:36.1951830Z ... num_iters = 1000, 2025-08-26T19:58:36.1951927Z ... ) 2025-08-26T19:58:36.1952105Z >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms)) 2025-08-26T19:58:36.1952291Z >>> print("Number of iterations: {}".format(stats.num_iters)) 2025-08-26T19:58:36.1952371Z 2025-08-26T19:58:36.1952625Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1952714Z 2025-08-26T19:58:36.1952811Z warnings.warn(msg) 2025-08-26T19:58:36.1952900Z 2025-08-26T19:58:36.1953168Z --- Parse Warning: 138 / 146 --- 2025-08-26T19:58:36.1954128Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/distributed.py line=18. 2025-08-26T19:58:36.1954412Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1954754Z Sampler that restricts data loading to a subset of the dataset. 2025-08-26T19:58:36.1954840Z 2025-08-26T19:58:36.1954975Z It is especially useful in conjunction with 2025-08-26T19:58:36.1955223Z :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each 2025-08-26T19:58:36.1955575Z process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a 2025-08-26T19:58:36.1955806Z :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the 2025-08-26T19:58:36.1955950Z original dataset that is exclusive to it. 2025-08-26T19:58:36.1956032Z 2025-08-26T19:58:36.1956122Z .. note:: 2025-08-26T19:58:36.1956375Z Dataset is assumed to be of constant size and that any instance of it always 2025-08-26T19:58:36.1956518Z returns the same elements in the same order. 2025-08-26T19:58:36.1956617Z 2025-08-26T19:58:36.1956704Z Args: 2025-08-26T19:58:36.1956826Z dataset: Dataset used for sampling. 2025-08-26T19:58:36.1957057Z num_replicas (int, optional): Number of processes participating in 2025-08-26T19:58:36.1957304Z distributed training. By default, :attr:`world_size` is retrieved from the 2025-08-26T19:58:36.1957430Z current distributed group. 2025-08-26T19:58:36.1957671Z rank (int, optional): Rank of the current process within :attr:`num_replicas`. 2025-08-26T19:58:36.1957871Z By default, :attr:`rank` is retrieved from the current distributed 2025-08-26T19:58:36.1957972Z group. 2025-08-26T19:58:36.1958195Z shuffle (bool, optional): If ``True`` (default), sampler will shuffle the 2025-08-26T19:58:36.1958297Z indices. 2025-08-26T19:58:36.1958488Z seed (int, optional): random seed used to shuffle the sampler if 2025-08-26T19:58:36.1958754Z :attr:`shuffle=True`. This number should be identical across all 2025-08-26T19:58:36.1958929Z processes in the distributed group. Default: ``0``. 2025-08-26T19:58:36.1959144Z drop_last (bool, optional): if ``True``, then the sampler will drop the 2025-08-26T19:58:36.1959349Z tail of the data to make it evenly divisible across the number of 2025-08-26T19:58:36.1959549Z replicas. If ``False``, the sampler will add extra indices to make 2025-08-26T19:58:36.1959757Z the data evenly divisible across the replicas. Default: ``False``. 2025-08-26T19:58:36.1959854Z 2025-08-26T19:58:36.1959945Z .. warning:: 2025-08-26T19:58:36.1960147Z In distributed mode, calling the :meth:`set_epoch` method at 2025-08-26T19:58:36.1960400Z the beginning of each epoch **before** creating the :class:`DataLoader` iterator 2025-08-26T19:58:36.1960694Z is necessary to make shuffling work properly across multiple epochs. Otherwise, 2025-08-26T19:58:36.1960826Z the same ordering will be always used. 2025-08-26T19:58:36.1960905Z 2025-08-26T19:58:36.1961007Z Example:: 2025-08-26T19:58:36.1961086Z 2025-08-26T19:58:36.1961186Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1961416Z >>> sampler = DistributedSampler(dataset) if is_distributed else None 2025-08-26T19:58:36.1961591Z >>> loader = DataLoader(dataset, shuffle=(sampler is None), 2025-08-26T19:58:36.1961721Z ... sampler=sampler) 2025-08-26T19:58:36.1961855Z >>> for epoch in range(start_epoch, n_epochs): 2025-08-26T19:58:36.1961959Z ... if is_distributed: 2025-08-26T19:58:36.1962091Z ... sampler.set_epoch(epoch) 2025-08-26T19:58:36.1962187Z ... train(loader) 2025-08-26T19:58:36.1962284Z 2025-08-26T19:58:36.1962540Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1962621Z 2025-08-26T19:58:36.1962733Z warnings.warn(msg) 2025-08-26T19:58:36.1962811Z 2025-08-26T19:58:36.1963024Z --- Parse Warning: 139 / 146 --- 2025-08-26T19:58:36.1964013Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=WeightedRandomSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py line=227. 2025-08-26T19:58:36.1964276Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1964544Z Samples elements from ``[0,..,len(weights)-1]`` with given probabilities (weights). 2025-08-26T19:58:36.1964623Z 2025-08-26T19:58:36.1964719Z Args: 2025-08-26T19:58:36.1964961Z weights (sequence) : a sequence of weights, not necessary summing up to one 2025-08-26T19:58:36.1965100Z num_samples (int): number of samples to draw 2025-08-26T19:58:36.1965329Z replacement (bool): if ``True``, samples are drawn with replacement. 2025-08-26T19:58:36.1965531Z If not, they are drawn without replacement, which means that when a 2025-08-26T19:58:36.1965761Z sample index is drawn for a row, it cannot be drawn again for that row. 2025-08-26T19:58:36.1965919Z generator (Generator): Generator used in sampling. 2025-08-26T19:58:36.1965996Z 2025-08-26T19:58:36.1966094Z Example: 2025-08-26T19:58:36.1966234Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-26T19:58:36.1966332Z >>> list( 2025-08-26T19:58:36.1966445Z ... WeightedRandomSampler( 2025-08-26T19:58:36.1966582Z ... [0.1, 0.9, 0.4, 0.7, 3.0, 0.6], 5, replacement=True 2025-08-26T19:58:36.1966679Z ... ) 2025-08-26T19:58:36.1966762Z ... ) 2025-08-26T19:58:36.1966861Z [4, 4, 1, 4, 5] 2025-08-26T19:58:36.1966974Z >>> list( 2025-08-26T19:58:36.1967115Z ... WeightedRandomSampler( 2025-08-26T19:58:36.1967271Z ... [0.9, 0.4, 0.05, 0.2, 0.3, 0.1], 5, replacement=False 2025-08-26T19:58:36.1967354Z ... ) 2025-08-26T19:58:36.1967447Z ... ) 2025-08-26T19:58:36.1967534Z [0, 1, 4, 3, 2] 2025-08-26T19:58:36.1967615Z 2025-08-26T19:58:36.1967891Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1967971Z 2025-08-26T19:58:36.1968065Z warnings.warn(msg) 2025-08-26T19:58:36.1968162Z 2025-08-26T19:58:36.1968351Z --- Parse Warning: 140 / 146 --- 2025-08-26T19:58:36.1969265Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BatchSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py line=300. 2025-08-26T19:58:36.1969554Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1969742Z Wraps another sampler to yield a mini-batch of indices. 2025-08-26T19:58:36.1969821Z 2025-08-26T19:58:36.1969905Z Args: 2025-08-26T19:58:36.1970141Z sampler (Sampler or Iterable): Base sampler. Can be any iterable object 2025-08-26T19:58:36.1970262Z batch_size (int): Size of mini-batch. 2025-08-26T19:58:36.1970465Z drop_last (bool): If ``True``, the sampler will drop the last batch if 2025-08-26T19:58:36.1970609Z its size would be less than ``batch_size`` 2025-08-26T19:58:36.1970688Z 2025-08-26T19:58:36.1970788Z Example: 2025-08-26T19:58:36.1970874Z >>> list( 2025-08-26T19:58:36.1970971Z ... BatchSampler( 2025-08-26T19:58:36.1971189Z ... SequentialSampler(range(10)), batch_size=3, drop_last=False 2025-08-26T19:58:36.1971274Z ... ) 2025-08-26T19:58:36.1971370Z ... ) 2025-08-26T19:58:36.1971472Z [[0, 1, 2], [3, 4, 5], [6, 7, 8], [9]] 2025-08-26T19:58:36.1971558Z >>> list( 2025-08-26T19:58:36.1971829Z ... BatchSampler(SequentialSampler(range(10)), batch_size=3, drop_last=True) 2025-08-26T19:58:36.1971913Z ... ) 2025-08-26T19:58:36.1972023Z [[0, 1, 2], [3, 4, 5], [6, 7, 8]] 2025-08-26T19:58:36.1972104Z 2025-08-26T19:58:36.1972383Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1972477Z 2025-08-26T19:58:36.1972572Z warnings.warn(msg) 2025-08-26T19:58:36.1972665Z 2025-08-26T19:58:36.1972853Z --- Parse Warning: 141 / 146 --- 2025-08-26T19:58:36.1973808Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=IterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py line=56. 2025-08-26T19:58:36.1974083Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1974165Z 2025-08-26T19:58:36.1974284Z Iterable-style DataPipe. 2025-08-26T19:58:36.1974364Z 2025-08-26T19:58:36.1974620Z All DataPipes that represent an iterable of data samples should subclass this. 2025-08-26T19:58:36.1974889Z This style of DataPipes is particularly useful when data come from a stream, or 2025-08-26T19:58:36.1975247Z when the number of samples is too large to fit them all in memory. ``IterDataPipe`` is lazily initialized and its 2025-08-26T19:58:36.1975547Z elements are computed only when ``next()`` is called on the iterator of an ``IterDataPipe``. 2025-08-26T19:58:36.1975625Z 2025-08-26T19:58:36.1975854Z All subclasses should overwrite :meth:`__iter__`, which would return an 2025-08-26T19:58:36.1976209Z iterator of samples in this DataPipe. Calling ``__iter__`` of an ``IterDataPipe`` automatically invokes its 2025-08-26T19:58:36.1976607Z method ``reset()``, which by default performs no operation. When writing a custom ``IterDataPipe``, users should 2025-08-26T19:58:36.1976922Z override ``reset()`` if necessary. The common usages include resetting buffers, pointers, 2025-08-26T19:58:36.1977121Z and various state variables within the custom ``IterDataPipe``. 2025-08-26T19:58:36.1977210Z 2025-08-26T19:58:36.1977290Z Note: 2025-08-26T19:58:36.1977500Z Only `one` iterator can be valid for each ``IterDataPipe`` at a time, 2025-08-26T19:58:36.1977858Z and the creation a second iterator will invalidate the first one. This constraint is necessary because 2025-08-26T19:58:36.1978234Z some ``IterDataPipe`` have internal buffers, whose states can become invalid if there are multiple iterators. 2025-08-26T19:58:36.1978515Z The code example below presents details on how this constraint looks in practice. 2025-08-26T19:58:36.1978880Z If you have any feedback related to this constraint, please see `GitHub IterDataPipe Single Iterator Issue`_. 2025-08-26T19:58:36.1978990Z 2025-08-26T19:58:36.1979291Z These DataPipes can be invoked in two ways, using the class constructor or applying their 2025-08-26T19:58:36.1979655Z functional form onto an existing ``IterDataPipe`` (recommended, available to most but not all DataPipes). 2025-08-26T19:58:36.1979998Z You can chain multiple `IterDataPipe` together to form a pipeline that will perform multiple 2025-08-26T19:58:36.1980105Z operations in succession. 2025-08-26T19:58:36.1980181Z 2025-08-26T19:58:36.1980327Z .. _GitHub IterDataPipe Single Iterator Issue: 2025-08-26T19:58:36.1980464Z https://github.com/pytorch/data/issues/45 2025-08-26T19:58:36.1980551Z 2025-08-26T19:58:36.1980632Z Note: 2025-08-26T19:58:36.1980862Z When a subclass is used with :class:`~torch.utils.data.DataLoader`, each 2025-08-26T19:58:36.1981140Z item in the DataPipe will be yielded from the :class:`~torch.utils.data.DataLoader` 2025-08-26T19:58:36.1981365Z iterator. When :attr:`num_workers > 0`, each worker process will have a 2025-08-26T19:58:36.1981615Z different copy of the DataPipe object, so it is often desired to configure 2025-08-26T19:58:36.1981854Z each copy independently to avoid having duplicate data returned from the 2025-08-26T19:58:36.1982093Z workers. :func:`~torch.utils.data.get_worker_info`, when called in a worker 2025-08-26T19:58:36.1982383Z process, returns information about the worker. It can be used in either the 2025-08-26T19:58:36.1982624Z dataset's :meth:`__iter__` method or the :class:`~torch.utils.data.DataLoader` 's 2025-08-26T19:58:36.1982818Z :attr:`worker_init_fn` option to modify each copy's behavior. 2025-08-26T19:58:36.1982899Z 2025-08-26T19:58:36.1982980Z Examples: 2025-08-26T19:58:36.1983074Z General Usage: 2025-08-26T19:58:36.1983173Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.1983397Z >>> from torchdata.datapipes.iter import IterableWrapper, Mapper 2025-08-26T19:58:36.1983518Z >>> dp = IterableWrapper(range(10)) 2025-08-26T19:58:36.1983704Z >>> map_dp_1 = Mapper(dp, lambda x: x + 1) # Using class constructor 2025-08-26T19:58:36.1983811Z >>> map_dp_2 = dp.map( 2025-08-26T19:58:36.1983906Z ... lambda x: x + 1 2025-08-26T19:58:36.1984046Z ... ) # Using functional form (recommended) 2025-08-26T19:58:36.1984140Z >>> list(map_dp_1) 2025-08-26T19:58:36.1984233Z [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] 2025-08-26T19:58:36.1984333Z >>> list(map_dp_2) 2025-08-26T19:58:36.1984425Z [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] 2025-08-26T19:58:36.1984579Z >>> filter_dp = map_dp_1.filter(lambda x: x % 2 == 0) 2025-08-26T19:58:36.1984673Z >>> list(filter_dp) 2025-08-26T19:58:36.1984761Z [2, 4, 6, 8, 10] 2025-08-26T19:58:36.1984881Z Single Iterator Constraint Example: 2025-08-26T19:58:36.1985112Z >>> from torchdata.datapipes.iter import IterableWrapper, Mapper 2025-08-26T19:58:36.1985285Z >>> source_dp = IterableWrapper(range(10)) 2025-08-26T19:58:36.1985380Z >>> it1 = iter(source_dp) 2025-08-26T19:58:36.1985469Z >>> list(it1) 2025-08-26T19:58:36.1985571Z [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] 2025-08-26T19:58:36.1985668Z >>> it1 = iter(source_dp) 2025-08-26T19:58:36.1985766Z >>> it2 = iter( 2025-08-26T19:58:36.1985856Z ... source_dp 2025-08-26T19:58:36.1986009Z ... ) # The creation of a new iterator invalidates `it1` 2025-08-26T19:58:36.1986103Z >>> next(it2) 2025-08-26T19:58:36.1986185Z 0 2025-08-26T19:58:36.1986378Z >>> next(it1) # Further usage of `it1` will raise a `RunTimeError` 2025-08-26T19:58:36.1986456Z 2025-08-26T19:58:36.1986711Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1986801Z 2025-08-26T19:58:36.1986892Z warnings.warn(msg) 2025-08-26T19:58:36.1986997Z 2025-08-26T19:58:36.1987199Z --- Parse Warning: 142 / 146 --- 2025-08-26T19:58:36.1988273Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DemultiplexerIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py line=375. 2025-08-26T19:58:36.1988541Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1988619Z 2025-08-26T19:58:36.1989084Z Splits the input DataPipe into multiple child DataPipes, using the given classification function (functional name: ``demux``). 2025-08-26T19:58:36.1989159Z 2025-08-26T19:58:36.1989343Z A list of the child DataPipes is returned from this operation. 2025-08-26T19:58:36.1989429Z 2025-08-26T19:58:36.1989511Z Args: 2025-08-26T19:58:36.1989645Z datapipe: Iterable DataPipe being filtered 2025-08-26T19:58:36.1989850Z num_instances: number of instances of the DataPipe to create 2025-08-26T19:58:36.1990222Z classifier_fn: a function that maps values to an integer within the range ``[0, num_instances - 1]`` or ``None`` 2025-08-26T19:58:36.1990552Z drop_none: defaults to ``False``, if ``True``, the function will skip over elements classified as ``None`` 2025-08-26T19:58:36.1990897Z buffer_size: this defines the maximum number of inputs that the buffer can hold across all child 2025-08-26T19:58:36.1991085Z DataPipes while waiting for their values to be yielded. 2025-08-26T19:58:36.1991249Z Defaults to ``1000``. Use ``-1`` for the unlimited buffer. 2025-08-26T19:58:36.1991325Z 2025-08-26T19:58:36.1991419Z Examples: 2025-08-26T19:58:36.1991539Z >>> # xdoctest: +REQUIRES(module:torchdata) 2025-08-26T19:58:36.1991719Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-26T19:58:36.1991816Z >>> def odd_or_even(n): 2025-08-26T19:58:36.1991911Z ... return n % 2 2025-08-26T19:58:36.1992045Z >>> source_dp = IterableWrapper(range(5)) 2025-08-26T19:58:36.1992254Z >>> dp1, dp2 = source_dp.demux(num_instances=2, classifier_fn=odd_or_even) 2025-08-26T19:58:36.1992350Z >>> list(dp1) 2025-08-26T19:58:36.1992426Z [0, 2, 4] 2025-08-26T19:58:36.1992513Z >>> list(dp2) 2025-08-26T19:58:36.1992604Z [1, 3] 2025-08-26T19:58:36.1992840Z >>> # It can also filter out any element that gets `None` from the `classifier_fn` 2025-08-26T19:58:36.1992944Z >>> def odd_or_even_no_zero(n): 2025-08-26T19:58:36.1993147Z ... return n % 2 if n != 0 else None 2025-08-26T19:58:36.1993257Z >>> dp1, dp2 = source_dp.demux( 2025-08-26T19:58:36.1993484Z ... num_instances=2, classifier_fn=odd_or_even_no_zero, drop_none=True 2025-08-26T19:58:36.1993565Z ... ) 2025-08-26T19:58:36.1993691Z >>> list(dp1) 2025-08-26T19:58:36.1993785Z [2, 4] 2025-08-26T19:58:36.1993902Z >>> list(dp2) 2025-08-26T19:58:36.1993999Z [1, 3] 2025-08-26T19:58:36.1994077Z 2025-08-26T19:58:36.1994331Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1994419Z 2025-08-26T19:58:36.1994515Z warnings.warn(msg) 2025-08-26T19:58:36.1994601Z 2025-08-26T19:58:36.1994795Z --- Parse Warning: 143 / 146 --- 2025-08-26T19:58:36.1995856Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MultiplexerIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py line=594. 2025-08-26T19:58:36.1996127Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.1996205Z 2025-08-26T19:58:36.1996521Z Yields one element at a time from each of the input Iterable DataPipes (functional name: ``mux``). 2025-08-26T19:58:36.1996600Z 2025-08-26T19:58:36.1996978Z As in, one element from the 1st input DataPipe, then one element from the 2nd DataPipe in the next iteration, 2025-08-26T19:58:36.1997175Z and so on. It ends when the shortest input DataPipe is exhausted. 2025-08-26T19:58:36.1997256Z 2025-08-26T19:58:36.1997349Z Args: 2025-08-26T19:58:36.1997757Z datapipes: Iterable DataPipes that will take turn to yield their elements, until the shortest DataPipe is exhausted 2025-08-26T19:58:36.1997835Z 2025-08-26T19:58:36.1997924Z Example: 2025-08-26T19:58:36.1998045Z >>> # xdoctest: +REQUIRES(module:torchdata) 2025-08-26T19:58:36.1998229Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-26T19:58:36.1998326Z >>> dp1, dp2, dp3 = ( 2025-08-26T19:58:36.1998438Z ... IterableWrapper(range(3)), 2025-08-26T19:58:36.1998564Z ... IterableWrapper(range(10, 15)), 2025-08-26T19:58:36.1998680Z ... IterableWrapper(range(20, 25)), 2025-08-26T19:58:36.1998771Z ... ) 2025-08-26T19:58:36.1998873Z >>> list(dp1.mux(dp2, dp3)) 2025-08-26T19:58:36.1998967Z [0, 10, 20, 1, 11, 21, 2, 12, 22] 2025-08-26T19:58:36.1999053Z 2025-08-26T19:58:36.1999303Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.1999380Z 2025-08-26T19:58:36.1999482Z warnings.warn(msg) 2025-08-26T19:58:36.1999561Z 2025-08-26T19:58:36.1999785Z --- Parse Warning: 144 / 146 --- 2025-08-26T19:58:36.2000815Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZipperIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py line=665. 2025-08-26T19:58:36.2001085Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.2001163Z 2025-08-26T19:58:36.2001474Z Aggregates elements into a tuple from each of the input DataPipes (functional name: ``zip``). 2025-08-26T19:58:36.2001562Z 2025-08-26T19:58:36.2001789Z The output is stopped as soon as the shortest input DataPipe is exhausted. 2025-08-26T19:58:36.2001874Z 2025-08-26T19:58:36.2001953Z Args: 2025-08-26T19:58:36.2002098Z *datapipes: Iterable DataPipes being aggregated 2025-08-26T19:58:36.2002190Z 2025-08-26T19:58:36.2002267Z Example: 2025-08-26T19:58:36.2002389Z >>> # xdoctest: +REQUIRES(module:torchdata) 2025-08-26T19:58:36.2002572Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-26T19:58:36.2002667Z >>> dp1, dp2, dp3 = ( 2025-08-26T19:58:36.2002791Z ... IterableWrapper(range(5)), 2025-08-26T19:58:36.2002909Z ... IterableWrapper(range(10, 15)), 2025-08-26T19:58:36.2003023Z ... IterableWrapper(range(20, 25)), 2025-08-26T19:58:36.2003113Z ... ) 2025-08-26T19:58:36.2003217Z >>> list(dp1.zip(dp2, dp3)) 2025-08-26T19:58:36.2003387Z [(0, 10, 20), (1, 11, 21), (2, 12, 22), (3, 13, 23), (4, 14, 24)] 2025-08-26T19:58:36.2003491Z 2025-08-26T19:58:36.2003745Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.2003832Z 2025-08-26T19:58:36.2003924Z warnings.warn(msg) 2025-08-26T19:58:36.2004009Z 2025-08-26T19:58:36.2004192Z --- Parse Warning: 145 / 146 --- 2025-08-26T19:58:36.2005246Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FileOpenerIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/fileopener.py line=18. 2025-08-26T19:58:36.2005510Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.2005586Z 2025-08-26T19:58:36.2005967Z Given pathnames, opens files and yield pathname and file stream in a tuple (functional name: ``open_files``). 2025-08-26T19:58:36.2006046Z 2025-08-26T19:58:36.2006157Z Args: 2025-08-26T19:58:36.2006326Z datapipe: Iterable datapipe that provides pathnames 2025-08-26T19:58:36.2006496Z mode: An optional string that specifies the mode in which 2025-08-26T19:58:36.2006717Z the file is opened by ``open()``. It defaults to ``r``, other options are 2025-08-26T19:58:36.2006873Z ``b`` for reading in binary mode and ``t`` for text mode. 2025-08-26T19:58:36.2007072Z encoding: An optional string that specifies the encoding of the 2025-08-26T19:58:36.2007338Z underlying file. It defaults to ``None`` to match the default encoding of ``open``. 2025-08-26T19:58:36.2007458Z length: Nominal length of the datapipe 2025-08-26T19:58:36.2007546Z 2025-08-26T19:58:36.2007627Z Note: 2025-08-26T19:58:36.2007897Z The opened file handles will be closed by Python's GC periodically. Users can choose 2025-08-26T19:58:36.2008005Z to close them explicitly. 2025-08-26T19:58:36.2008087Z 2025-08-26T19:58:36.2008177Z Example: 2025-08-26T19:58:36.2008273Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.2008404Z >>> from torchdata.datapipes.iter import ( 2025-08-26T19:58:36.2008504Z ... FileLister, 2025-08-26T19:58:36.2008595Z ... FileOpener, 2025-08-26T19:58:36.2008685Z ... StreamReader, 2025-08-26T19:58:36.2008778Z ... ) 2025-08-26T19:58:36.2009022Z >>> dp = FileLister(root=".").filter(lambda fname: fname.endswith(".txt")) 2025-08-26T19:58:36.2009133Z >>> dp = FileOpener(dp) 2025-08-26T19:58:36.2009236Z >>> dp = StreamReader(dp) 2025-08-26T19:58:36.2009319Z >>> list(dp) 2025-08-26T19:58:36.2009421Z [('./abc.txt', 'abc')] 2025-08-26T19:58:36.2009498Z 2025-08-26T19:58:36.2009761Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.2009841Z 2025-08-26T19:58:36.2009937Z warnings.warn(msg) 2025-08-26T19:58:36.2010029Z 2025-08-26T19:58:36.2010219Z --- Parse Warning: 146 / 146 --- 2025-08-26T19:58:36.2011261Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=GrouperIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py line=155. 2025-08-26T19:58:36.2011524Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T19:58:36.2011603Z 2025-08-26T19:58:36.2012023Z Groups data from IterDataPipe by keys from ``group_key_fn``, yielding a ``DataChunk`` with batch size up to ``group_size``. 2025-08-26T19:58:36.2012102Z 2025-08-26T19:58:36.2012218Z (functional name: ``groupby``). 2025-08-26T19:58:36.2012297Z 2025-08-26T19:58:36.2012683Z The samples are read sequentially from the source ``datapipe``, and a batch of samples belonging to the same group 2025-08-26T19:58:36.2013017Z will be yielded as soon as the size of the batch reaches ``group_size``. When the buffer is full, 2025-08-26T19:58:36.2013352Z the DataPipe will yield the largest batch with the same key, provided that its size is larger 2025-08-26T19:58:36.2013683Z than ``guaranteed_group_size``. If its size is smaller, it will be dropped if ``drop_remaining=True``. 2025-08-26T19:58:36.2013762Z 2025-08-26T19:58:36.2014148Z After iterating through the entirety of source ``datapipe``, everything not dropped due to the buffer capacity 2025-08-26T19:58:36.2014472Z will be yielded from the buffer, even if the group sizes are smaller than ``guaranteed_group_size``. 2025-08-26T19:58:36.2014553Z 2025-08-26T19:58:36.2014642Z Args: 2025-08-26T19:58:36.2014767Z datapipe: Iterable datapipe to be grouped 2025-08-26T19:58:36.2015043Z group_key_fn: Function used to generate group key from the data of the source datapipe 2025-08-26T19:58:36.2015283Z keep_key: Option to yield the matching key along with the items in a tuple, 2025-08-26T19:58:36.2015611Z resulting in `(key, [items])` otherwise returning [items] 2025-08-26T19:58:36.2015782Z buffer_size: The size of buffer for ungrouped data 2025-08-26T19:58:36.2016060Z group_size: The max size of each group, a batch is yielded as soon as it reaches this size 2025-08-26T19:58:36.2016415Z guaranteed_group_size: The guaranteed minimum group size to be yielded in case the buffer is full 2025-08-26T19:58:36.2016774Z drop_remaining: Specifies if the group smaller than ``guaranteed_group_size`` will be dropped from buffer 2025-08-26T19:58:36.2016877Z when the buffer is full 2025-08-26T19:58:36.2016972Z 2025-08-26T19:58:36.2017057Z Example: 2025-08-26T19:58:36.2017163Z >>> import os 2025-08-26T19:58:36.2017260Z >>> # xdoctest: +SKIP 2025-08-26T19:58:36.2017435Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-26T19:58:36.2017550Z >>> def group_fn(file): 2025-08-26T19:58:36.2017698Z ... return os.path.basename(file).split(".")[0] 2025-08-26T19:58:36.2017826Z >>> source_dp = IterableWrapper( 2025-08-26T19:58:36.2017984Z ... ["a.png", "b.png", "a.json", "b.json", "a.jpg", "c.json"] 2025-08-26T19:58:36.2018065Z ... ) 2025-08-26T19:58:36.2018223Z >>> dp0 = source_dp.groupby(group_key_fn=group_fn) 2025-08-26T19:58:36.2018310Z >>> list(dp0) 2025-08-26T19:58:36.2018499Z [['a.png', 'a.json', 'a.jpg'], ['b.png', 'b.json'], ['c.json']] 2025-08-26T19:58:36.2018700Z >>> # A group is yielded as soon as its size equals to `group_size` 2025-08-26T19:58:36.2018882Z >>> dp1 = source_dp.groupby(group_key_fn=group_fn, group_size=2) 2025-08-26T19:58:36.2018985Z >>> list(dp1) 2025-08-26T19:58:36.2019144Z [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']] 2025-08-26T19:58:36.2019505Z >>> # Scenario where `buffer` is full, and group 'a' needs to be yielded since its size > `guaranteed_group_size` 2025-08-26T19:58:36.2019616Z >>> dp2 = source_dp.groupby( 2025-08-26T19:58:36.2019719Z ... group_key_fn=group_fn, 2025-08-26T19:58:36.2019827Z ... buffer_size=3, 2025-08-26T19:58:36.2019921Z ... group_size=3, 2025-08-26T19:58:36.2020029Z ... guaranteed_group_size=2, 2025-08-26T19:58:36.2020128Z ... ) 2025-08-26T19:58:36.2020215Z >>> list(dp2) 2025-08-26T19:58:36.2020395Z [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']] 2025-08-26T19:58:36.2020478Z 2025-08-26T19:58:36.2020735Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-26T19:58:36.2020830Z 2025-08-26T19:58:36.2020929Z warnings.warn(msg) 2025-08-26T19:58:36.2021029Z 2025-08-26T19:58:36.2021141Z  2025-08-26T19:58:36.2021315Z === Found 8 run-time warnings === 2025-08-26T19:58:36.2021502Z --- Runtime Warning: 1 / 8 --- 2025-08-26T19:58:36.2021817Z example = 2025-08-26T19:58:36.2023217Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py:1351: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1974.) 2025-08-26T19:58:36.2023333Z return super().refine_names(names) 2025-08-26T19:58:36.2023416Z 2025-08-26T19:58:36.2023609Z --- Runtime Warning: 2 / 8 --- 2025-08-26T19:58:36.2023920Z example = 2025-08-26T19:58:36.2024562Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py:282: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-08-26T19:58:36.2024907Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-08-26T19:58:36.2025132Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-08-26T19:58:36.2025428Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-08-26T19:58:36.2025527Z dispatch key: CPU 2025-08-26T19:58:36.2025974Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-08-26T19:58:36.2026533Z new kernel: registered at /dev/null:811 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:225.) 2025-08-26T19:58:36.2026707Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-08-26T19:58:36.2026787Z 2025-08-26T19:58:36.2026966Z --- Runtime Warning: 3 / 8 --- 2025-08-26T19:58:36.2027220Z example = 2025-08-26T19:58:36.2029083Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:182.) 2025-08-26T19:58:36.2029375Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-08-26T19:58:36.2029456Z 2025-08-26T19:58:36.2029649Z --- Runtime Warning: 4 / 8 --- 2025-08-26T19:58:36.2029959Z example = 2025-08-26T19:58:36.2031490Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/const_fold.py:271: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer 2025-08-26T19:58:36.2031660Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-08-26T19:58:36.2031742Z 2025-08-26T19:58:36.2031932Z --- Runtime Warning: 5 / 8 --- 2025-08-26T19:58:36.2032222Z example = 2025-08-26T19:58:36.2033419Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-08-26T19:58:36.2033516Z warnings.warn( 2025-08-26T19:58:36.2033599Z 2025-08-26T19:58:36.2033802Z --- Runtime Warning: 6 / 8 --- 2025-08-26T19:58:36.2034135Z example = 2025-08-26T19:58:36.2035303Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-08-26T19:58:36.2035398Z warnings.warn( 2025-08-26T19:58:36.2035496Z 2025-08-26T19:58:36.2035678Z --- Runtime Warning: 7 / 8 --- 2025-08-26T19:58:36.2035954Z example = 2025-08-26T19:58:36.2036786Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-08-26T19:58:36.2036906Z WeightNorm.apply(module, name, dim) 2025-08-26T19:58:36.2037000Z 2025-08-26T19:58:36.2037177Z --- Runtime Warning: 8 / 8 --- 2025-08-26T19:58:36.2037509Z example = 2025-08-26T19:58:36.2038337Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-08-26T19:58:36.2038456Z WeightNorm.apply(module, name, dim) 2025-08-26T19:58:36.2038552Z 2025-08-26T19:58:36.2038864Z === 338 passed, 393 skipped, 154 warnings in 14.81 seconds === 2025-08-26T19:58:36.2039083Z Running inductor/test_max_autotune 1/1 ... [2025-08-26 19:58:35.965910] 2025-08-26T19:58:36.2039208Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:58:36.2040083Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_max_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:58:35.966268] 2025-08-26T19:58:45.8324718Z 2025-08-26T19:58:45.8325687Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_6ed654a62618951c_.log 2025-08-26T19:58:45.8326432Z 2025-08-26T19:58:45.8329795Z Running inductor/test_benchmark_fusion 1/1 ... [2025-08-26 19:58:45.832832] 2025-08-26T19:58:45.8330265Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:58:45.8334033Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:58:45.833175] 2025-08-26T19:58:53.1114401Z 2025-08-26T19:58:53.1115987Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_0612c6ba941de183_.log 2025-08-26T19:58:53.1117256Z 2025-08-26T19:58:53.1118176Z Running inductor/test_cutlass_backend 1/1 ... [2025-08-26 19:58:53.111638] 2025-08-26T19:58:53.1118906Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:58:53.1123868Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:58:53.112067] 2025-08-26T19:58:59.5780644Z 2025-08-26T19:58:59.5781978Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_f2845a412392767c_.log 2025-08-26T19:58:59.5782760Z 2025-08-26T19:58:59.5784450Z Running inductor/test_distributed_patterns 1/1 ... [2025-08-26 19:58:59.578249] 2025-08-26T19:58:59.5785149Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:58:59.5788300Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:58:59.578568] 2025-08-26T19:59:06.1048698Z 2025-08-26T19:59:06.1049727Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_6cc598b5390a7edc_.log 2025-08-26T19:59:06.1050598Z 2025-08-26T19:59:06.1052385Z Running dynamo/test_fake_distributed 1/1 ... [2025-08-26 19:59:06.105061] 2025-08-26T19:59:06.1052863Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:59:06.1056297Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:59:06.105384] 2025-08-26T19:59:09.3661751Z 2025-08-26T19:59:09.3663017Z dynamo/test_fake_distributed 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fake_distributed_1.1_e9a16673923b5ff7_.log 2025-08-26T19:59:09.3663793Z 2025-08-26T19:59:09.3665251Z Running test_utils 1/1 ... [2025-08-26 19:59:09.366361] 2025-08-26T19:59:09.3665648Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:59:09.3668712Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:59:09.366667] 2025-08-26T20:02:29.4992569Z 2025-08-26T20:02:29.4993416Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_89f6b73443f3d638_.log 2025-08-26T20:02:29.7179974Z Running 6049 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint, test/test_utils.py::TestCheckpoint::test_checkpoint_module_list, test/test_utils.py::TestCheckpoint::test_checkpoint_no_tensors, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor_inputs_outputs, test/test_utils.py::TestCheckpoint::test_checkpoint_not_preserve_rng_state_and_without_reentrant, test/test_utils.py::TestCheckpoint::test_checkpoint_partial_grad, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cpu, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cuda, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_multiple_args, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_valid, test/test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free, test/test_utils.py::TestCheckpoint::test_get_device_states_recursive, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_cuda, test/test_utils.py::TestDataLoaderUtils::test_multi_drop, test/test_utils.py::TestDataLoaderUtils::test_multi_keep, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_single_drop, test/test_utils.py::TestDataLoaderUtils::test_single_keep, test/test_utils.py::TestBottleneck::test_bottleneck_cpu_only, test/test_utils.py::TestBottleneck::test_bottleneck_cuda, test/test_utils.py::TestCollectEnv::test_smoke, test/test_utils.py::TestONNXUtils::test_check_onnx_broadcast, test/test_utils.py::TestONNXUtils::test_prepare_onnx_paddings, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCPU::test_basic_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int8, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_one_hot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu, test/test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok, test/test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok, test/test_utils.py::TestTraceback::test_basic, test/test_utils.py::TestTraceback::test_captured_traceback, test/test_utils.py::TestTraceback::test_captured_traceback_format_all, test/test_utils.py::TestTraceback::test_captured_traceback_format_all_cached, test/test_utils.py::TestTraceback::test_format_traceback_short, test/test_utils.py::TestTryImport::test_import_existing, test/test_utils.py::TestTryImport::test_import_imported, test/test_utils.py::TestTryImport::test_import_missing, test/test_utils.py::TestDeprecate::test_deprecated 2025-08-26T20:02:29.9771568Z 2025-08-26T20:02:29.9771765Z Running test_fx 1/1 ... [2025-08-26 20:02:29.507154] 2025-08-26T20:02:29.9772152Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:02:29.9773398Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:02:29.507535] 2025-08-26T20:06:35.6957587Z 2025-08-26T20:06:35.6958719Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_9f8226bae1af2d14_.log 2025-08-26T20:06:35.7449515Z Running 1261 items in this shard: test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCSEPass::test_banned_list, test/test_fx.py::TestCSEPass::test_empty, test/test_fx.py::TestCSEPass::test_immutable_list_multiple_entries, test/test_fx.py::TestCSEPass::test_immutable_list_type, test/test_fx.py::TestCSEPass::test_kwarg, test/test_fx.py::TestCSEPass::test_nested_immutable_list_type, test/test_fx.py::TestCSEPass::test_nochange, test/test_fx.py::TestCSEPass::test_rand_like, test/test_fx.py::TestCSEPass::test_rand_n, test/test_fx.py::TestCSEPass::test_random, test/test_fx.py::TestCSEPass::test_simple, test/test_fx.py::TestCSEPass::test_simple_2, test/test_fx.py::TestCSEPass::test_simple_multiple_same_ops, test/test_fx.py::TestCSEPass::test_two_args, test/test_fx.py::TestCSEPass::test_two_args_default, test/test_fx.py::TestDCE::test_dead_chain, test/test_fx.py::TestDCE::test_dead_getattr, test/test_fx.py::TestDCE::test_dead_placeholder, test/test_fx.py::TestDCE::test_dead_placeholder_with_user, test/test_fx.py::TestDCE::test_impure_custom, test/test_fx.py::TestDCE::test_impure_kwargs, test/test_fx.py::TestDCE::test_impure_nodes_args, test/test_fx.py::TestDCE::test_impure_random, test/test_fx.py::TestDCE::test_keep_collectives, test/test_fx.py::TestDCE::test_keep_collectives_no_overload, test/test_fx.py::TestDCE::test_keep_module_with_side_effects, test/test_fx.py::TestDCE::test_keep_setitem, test/test_fx.py::TestDCE::test_keep_torch_assert, test/test_fx.py::TestDCE::test_simple, test/test_fx.py::TestConstFold::test_check_inline_non_const, test/test_fx.py::TestConstFold::test_check_inline_non_const_mult_return, test/test_fx.py::TestConstFold::test_check_skip_folding_quant_dequant_pattern, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_no_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_placeholder_reordered, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr_three_input, test/test_fx.py::TestConstFold::test_const_fold_has_inlined_call_module_node, test/test_fx.py::TestConstFold::test_const_fold_module_attr, test/test_fx.py::TestConstFold::test_const_fold_multi_const_folded_attrs, test/test_fx.py::TestConstFold::test_const_fold_noop, test/test_fx.py::TestConstFold::test_const_fold_submod_hierarchy, test/test_fx.py::TestConstFold::test_const_fold_tensor_meta, test/test_fx.py::TestConstFold::test_const_fold_unused_placeholder, test/test_fx.py::TestConstFold::test_dict_output, test/test_fx.py::TestConstFold::test_fold_module, test/test_fx.py::TestConstFold::test_retain_node_meta, test/test_fx.py::TestConstFold::test_three_outputs, test/test_fx.py::TestConstFold::test_two_outputs, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_dim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_ndim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_nelement_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_numel_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_shape_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_size_const, test/test_fx.py::AnnotationsTest::test_annotate, test/test_fx.py::AnnotationsTest::test_annotations, test/test_fx.py::AnnotationsTest::test_broadcasting1, test/test_fx.py::AnnotationsTest::test_broadcasting2, test/test_fx.py::AnnotationsTest::test_broadcasting3, test/test_fx.py::AnnotationsTest::test_consistency, test/test_fx.py::AnnotationsTest::test_precision, test/test_fx.py::TypeCheckerTest::test_flatten_fully_static, test/test_fx.py::TypeCheckerTest::test_resnet50, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast_2, test/test_fx.py::TypeCheckerTest::test_type_check_add_false, test/test_fx.py::TypeCheckerTest::test_type_check_add_true, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_scalar, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_false, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_symbolic, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2_fully_static, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_types, test/test_fx.py::TypeCheckerTest::test_type_check_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_flatten3, test/test_fx.py::TypeCheckerTest::test_type_check_flatten_2, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true_param_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_true, test/test_fx.py::TypeCheckerTest::test_type_check_symbolic_inferenceconv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_False, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_true, test/test_fx.py::TypeCheckerTest::test_type_maxpool2d_fully_static, test/test_fx.py::TypeCheckerTest::test_type_typechecl_maxpool2d_3dinput, test/test_fx.py::TypeCheckerTest::test_typecheck_basicblock, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_function, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_module, test/test_fx.py::TestMatcher::test_split_to_graph_and_name_node_map, test/test_fx.py::TestMatcher::test_subgraph_matcher_ignore_literals, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_attributes, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list_bad, test/test_fx.py::TestMatcher::test_variatic_arg_matching, test/test_fx.py::TestPassManager::test_pass_manager, test/test_fx.py::TestPassManager::test_pass_manager_bad_checks, test/test_fx.py::TestPassManager::test_pass_manager_checks, test/test_fx.py::TestPassManager::test_pass_manager_error, test/test_fx.py::TestPassManager::test_this_before_that_pass_constraint, test/test_fx.py::TestPassManager::test_topological_sort, test/test_fx.py::TestSourceMatcher::test_legalize_slice, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_True, test/test_fx.py::TestSubgraphRewriter::test_matching_pattern_with_list_type_arg, test/test_fx.py::TestSubgraphRewriter::test_matching_variable_arguments, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_callback, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_filters, test/test_fx.py::TestSubgraphRewriter::test_replaced_nodes, test/test_fx.py::TestSubgraphRewriter::test_replacement_with_attrs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_call_method, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_local_revert, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_nodes_with_kwargs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_consecutive_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_duplicated_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_multiple_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_overlapping_matches, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_trivial_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_args, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_results, test/test_fx.py::TestFX::test_all_input_nodes, test/test_fx.py::TestFX::test_annotation_with_future, test/test_fx.py::TestFX::test_annotations_empty_tuple, test/test_fx.py::TestFX::test_annotations_with_forward_references, test/test_fx.py::TestFX::test_annotations_with_no_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_internal_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_no_internal_forward_references, test/test_fx.py::TestFX::test_args_kwargs, test/test_fx.py::TestFX::test_args_kwargs_no_self, test/test_fx.py::TestFX::test_assert, test/test_fx.py::TestFX::test_ast_rewriter_reassigns_submodules, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert_with_message, test/test_fx.py::TestFX::test_ast_rewriter_wrap, test/test_fx.py::TestFX::test_ast_rewriter_wrap_fn_directly, test/test_fx.py::TestFX::test_ast_rewriter_wrap_with_submodule, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_autowrap_functions, test/test_fx.py::TestFX::test_concrete_arg_none_assert, test/test_fx.py::TestFX::test_construct_root_dict, test/test_fx.py::TestFX::test_control_flow_tracing, test/test_fx.py::TestFX::test_copy_it, test/test_fx.py::TestFX::test_copy_no_remap, test/test_fx.py::TestFX::test_ctx_mgr, test/test_fx.py::TestFX::test_custom_codegen, test/test_fx.py::TestFX::test_custom_codegen_with_transformer, test/test_fx.py::TestFX::test_custom_import, test/test_fx.py::TestFX::test_custom_proxy_dynamic_value, test/test_fx.py::TestFX::test_custom_proxy_input_dependent_control_flow, test/test_fx.py::TestFX::test_custom_proxy_type, test/test_fx.py::TestFX::test_custom_proxy_type_literal, test/test_fx.py::TestFX::test_custom_traceback_not_raised_when_exception_source_is_submodule, test/test_fx.py::TestFX::test_custom_traceback_raised_when_exception_source_is_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graph_with_tracer_cls, test/test_fx.py::TestFX::test_deepcopy_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graphmodule_with_transform, test/test_fx.py::TestFX::test_deepcopy_no_recursion, test/test_fx.py::TestFX::test_deepcopy_recursion_depth, test/test_fx.py::TestFX::test_deepcopy_tracer, test/test_fx.py::TestFX::test_deepcopy_with_submods_params, test/test_fx.py::TestFX::test_delete_unused_submodules_leaf, test/test_fx.py::TestFX::test_delete_unused_values, test/test_fx.py::TestFX::test_dict, test/test_fx.py::TestFX::test_direct_param_use, test/test_fx.py::TestFX::test_disallow_override, test/test_fx.py::TestFX::test_ellipsis, test/test_fx.py::TestFX::test_empty_graph_codegen, test/test_fx.py::TestFX::test_enum, test/test_fx.py::TestFX::test_erase_node_error, test/test_fx.py::TestFX::test_example_shape_prop, test/test_fx.py::TestFX::test_find_uses, test/test_fx.py::TestFX::test_fn_type_annotation_empty, test/test_fx.py::TestFX::test_fn_type_annotations, test/test_fx.py::TestFX::test_fx_and_or, test/test_fx.py::TestFX::test_fx_create_arg, test/test_fx.py::TestFX::test_fx_shifts, test/test_fx.py::TestFX::test_fx_stateless, test/test_fx.py::TestFX::test_get_torch_func_signature, test/test_fx.py::TestFX::test_getitem, test/test_fx.py::TestFX::test_getitem_subproc, test/test_fx.py::TestFX::test_graph_edit_with_proxy, test/test_fx.py::TestFX::test_graph_fns, test/test_fx.py::TestFX::test_graph_module, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_dict_init, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_mod_init, test/test_fx.py::TestFX::test_graph_module_replicate_for_dp, test/test_fx.py::TestFX::test_graph_unique_names, test/test_fx.py::TestFX::test_graph_unique_names_manual, test/test_fx.py::TestFX::test_immutable_dict_pytree_ops, test/test_fx.py::TestFX::test_immutable_list_pytree_ops, test/test_fx.py::TestFX::test_imul_code_print, test/test_fx.py::TestFX::test_inf_nan, test/test_fx.py::TestFX::test_inf_nan_kwds, test/test_fx.py::TestFX::test_informative_co_filename, test/test_fx.py::TestFX::test_inline_graph, test/test_fx.py::TestFX::test_insert_arg, test/test_fx.py::TestFX::test_insertion_point, test/test_fx.py::TestFX::test_interpreter, test/test_fx.py::TestFX::test_interpreter_default_args, test/test_fx.py::TestFX::test_interpreter_gc_values, test/test_fx.py::TestFX::test_interpreter_noop_resnet18, test/test_fx.py::TestFX::test_interpreter_not_enough_args, test/test_fx.py::TestFX::test_interpreter_onthefly_swap, test/test_fx.py::TestFX::test_interpreter_other_graph, test/test_fx.py::TestFX::test_interpreter_partial_eval, test/test_fx.py::TestFX::test_interpreter_run_node_override, test/test_fx.py::TestFX::test_interpreter_star_args, test/test_fx.py::TestFX::test_interpreter_with_codegen, test/test_fx.py::TestFX::test_layout, test/test_fx.py::TestFX::test_leaf_module, test/test_fx.py::TestFX::test_lineno_map, test/test_fx.py::TestFX::test_matmul_tracing, test/test_fx.py::TestFX::test_metadata_on_ph, test/test_fx.py::TestFX::test_module_deepcopy_edit_nodes, test/test_fx.py::TestFX::test_move_before, test/test_fx.py::TestFX::test_multi_insert_point, test/test_fx.py::TestFX::test_multiple_default_args, test/test_fx.py::TestFX::test_named_tuple_inlined, test/test_fx.py::TestFX::test_namedtuple_return_qualname, test/test_fx.py::TestFX::test_namedtuple_return_trace, test/test_fx.py::TestFX::test_native_callable, test/test_fx.py::TestFX::test_nn_module_stack, test/test_fx.py::TestFX::test_no_mutation, test/test_fx.py::TestFX::test_node_tagging, test/test_fx.py::TestFX::test_nonetype_annotation, test/test_fx.py::TestFX::test_partial_trace, test/test_fx.py::TestFX::test_pickle_custom_import, test/test_fx.py::TestFX::test_pickle_graphmodule, test/test_fx.py::TestFX::test_pickle_nonetype_annotation, test/test_fx.py::TestFX::test_pickle_torch_custom_ops, test/test_fx.py::TestFX::test_prepend_self, test/test_fx.py::TestFX::test_pretty_print, test/test_fx.py::TestFX::test_pretty_print_graph, test/test_fx.py::TestFX::test_pretty_print_node, test/test_fx.py::TestFX::test_pretty_print_targets, test/test_fx.py::TestFX::test_print_graph, test/test_fx.py::TestFX::test_profiler_ranges_side_effect, test/test_fx.py::TestFX::test_proxy_deepcopy_with_tracer, test/test_fx.py::TestFX::test_proxy_deepcopy_without_tracer, test/test_fx.py::TestFX::test_pytree, test/test_fx.py::TestFX::test_pytree_concrete, test/test_fx.py::TestFX::test_reassign_args_kwargs_uses, test/test_fx.py::TestFX::test_regular_and_default_args, test/test_fx.py::TestFX::test_remove_uses, test/test_fx.py::TestFX::test_remove_uses_with_custom_filter, test/test_fx.py::TestFX::test_replace_input, test/test_fx.py::TestFX::test_replace_uses, test/test_fx.py::TestFX::test_reserved_getattr, test/test_fx.py::TestFX::test_return_tuple, test/test_fx.py::TestFX::test_return_type_exists, test/test_fx.py::TestFX::test_return_type_exists_pre_pep585, test/test_fx.py::TestFX::test_script_method_trace, test/test_fx.py::TestFX::test_script_tensor_constant, test/test_fx.py::TestFX::test_sequential, test/test_fx.py::TestFX::test_shape_prop_aggregate, test/test_fx.py::TestFX::test_shape_prop_layout, test/test_fx.py::TestFX::test_shape_prop_layout_3d, test/test_fx.py::TestFX::test_shape_prop_unbacked_sym, test/test_fx.py::TestFX::test_single_default_arg, test/test_fx.py::TestFX::test_snake_case, test/test_fx.py::TestFX::test_sqrt, test/test_fx.py::TestFX::test_stack_traces, test/test_fx.py::TestFX::test_stack_traces_with_transformer, test/test_fx.py::TestFX::test_string_literal_return, test/test_fx.py::TestFX::test_submodule_manipulation_API, test/test_fx.py::TestFX::test_symbolic_trace_assert, test/test_fx.py::TestFX::test_symbolic_trace_sequential, test/test_fx.py::TestFX::test_tensor_attribute, test/test_fx.py::TestFX::test_tensor_attribute_coalseced, test/test_fx.py::TestFX::test_tensor_constant, test/test_fx.py::TestFX::test_throw_out_variant, test/test_fx.py::TestFX::test_torch_custom_ops, test/test_fx.py::TestFX::test_torch_fx_getattr, test/test_fx.py::TestFX::test_torch_fx_len, test/test_fx.py::TestFX::test_torch_op_overloads, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx_tensor_arg, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_dict_int_keys, test/test_fx.py::TestFX::test_trace_dict_proxy_keys, test/test_fx.py::TestFX::test_trace_fn_constant, test/test_fx.py::TestFX::test_trace_function, test/test_fx.py::TestFX::test_trace_multiple_funcs, test/test_fx.py::TestFX::test_trace_return_dataclass, test/test_fx.py::TestFX::test_trace_return_dataclass_nested, test/test_fx.py::TestFX::test_trace_return_namedtuple, test/test_fx.py::TestFX::test_tracing_graphmodules_as_leaf_submodules, test/test_fx.py::TestFX::test_transformer_multi_outputs, test/test_fx.py::TestFX::test_transformer_noop, test/test_fx.py::TestFX::test_transformer_op_swap, test/test_fx.py::TestFX::test_transformer_preserves_nn_module_stack_for_get_attr, test/test_fx.py::TestFX::test_tuple_no_subscript, test/test_fx.py::TestFX::test_typename_print, test/test_fx.py::TestFX::test_typename_print_pre_pep585, test/test_fx.py::TestFX::test_unpack, test/test_fx.py::TestFX::test_unpack_dict_better_error, test/test_fx.py::TestFX::test_unpack_list_better_error, test/test_fx.py::TestFX::test_update_args_api, test/test_fx.py::TestFX::test_update_args_kwargs_yells_at_you, test/test_fx.py::TestFX::test_update_kwargs_api, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_function, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_module, test/test_fx.py::TestFX::test_varargs_concrete, test/test_fx.py::TestFX::test_wrap, test/test_fx.py::TestFX::test_wrap_decorated_function, test/test_fx.py::TestFX::test_wrap_fn_directly, test/test_fx.py::TestFX::test_wrap_with_submodule, test/test_fx.py::TestFX::test_wrapped_method, test/test_fx.py::TestFX::test_wrapped_retrace, test/test_fx.py::TestFX::test_wrapped_via_decorator, test/test_fx.py::TestFX::test_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_wrong_target_type, test/test_fx.py::TestFX::test_wrong_topo, test/test_fx.py::TestFXAPIBackwardCompatibility::test_adding_side_effect_function, test/test_fx.py::TestFXAPIBackwardCompatibility::test_class_member_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_function_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_preserve_unused_attr_after_unpickle, test/test_fx.py::TestFXAPIBackwardCompatibility::test_public_api_surface, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_affine_grid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_batch_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy_with_logits, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_tbc, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_similarity, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_ctc_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding_bag, test/test_fx.py::TestFunctionalTracing::test_nn_functional_feature_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gaussian_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_glu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_grid_sample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_group_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gumbel_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardswish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hinge_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_huber_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_instance_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_interpolate, test/test_fx.py::TestFunctionalTracing::test_nn_functional_kl_div, test/test_fx.py::TestFunctionalTracing::test_nn_functional_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_layer_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_linear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_local_response_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_log_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_logsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_margin_ranking_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mse_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_head_attention_forward, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_native_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_normalize, test/test_fx.py::TestFunctionalTracing::test_nn_functional_one_hot, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pad, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pairwise_distance, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pdist, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_unshuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_poisson_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_prelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu6, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rms_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_scaled_dot_product_attention, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_silu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_smooth_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmin, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softplus, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_with_distance_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_unfold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_nearest, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_H_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_T_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___getitem___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___radd___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rdiv___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmatmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmod___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rpow___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rsub___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__batch_norm_with_update_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__chunk_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__native_batch_norm_legit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_lengths_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_offsets_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__softmax_backward_data_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_abs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcdiv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_decomposed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_alias_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_all_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_allclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_aminmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_angle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_any_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_arange_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argsort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argwhere_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_partial_views_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_baddbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bernoulli_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bfloat16_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_block_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bool_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_shapes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bucketize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_byte_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cartesian_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cauchy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdouble_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ceil_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cfloat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chalf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_char_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_inverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_max_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_min_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clone_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_column_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_combinations_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_physical_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_constant_pad_nd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_contiguous_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_copysign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_corrcoef_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_count_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cov_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumulative_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_deg2rad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_embed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagflat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diff_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_digamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_floor_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_no_rounding_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_trunc_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_double_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_einsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_permuted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_equal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expm1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eye_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flip_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fliplr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flipud_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gather_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ge_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geometric_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geqrf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gradient_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_half_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hash_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_heaviside_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogram_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogramdd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hypot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igammac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_inner_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_int_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isfinite_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isnan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isneginf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isposinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isreal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_item_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_unary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kron_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kthvalue_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ldexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_le_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lerp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lgamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cond_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_det_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eig_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvalsh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_householder_product_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_multi_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_singular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_slogdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_triangular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svdvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorsolve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vander_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vecdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vector_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log10_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log1p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logcumsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_and_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_not_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_or_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_xor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_long_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_unpack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mH_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mT_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matrix_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_maximum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_minimum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_movedim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_msort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_multinomial_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nan_to_num_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmedian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanquantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nansum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_dropout_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ne_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nextafter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_celu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_elu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_glu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_group_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardswish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bicubic_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_kl_div_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_local_response_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_prelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu6_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rrelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_selu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_silu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softplus_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softsign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_threshold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_static_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_fro_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_inf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_nuc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_in_place_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_number_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ormqr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_outer_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pca_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pinverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polar_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_positive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_quantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rad2deg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rand_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ravel_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_real_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reciprocal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_remainder_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_renorm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_interleave_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize_as__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_roll_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rot90_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_neg_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scalar_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_searchsorted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sgn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_short_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_bartlett_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_blackman_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_gaussian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hann_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_kaiser_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_nuttall_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signbit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_mm_reduce_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_airy_ai_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_entr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_erfcx_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i0e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_log_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtri_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_xlog1py_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_zeta_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_list_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_square_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_multiple_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_to_size_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_along_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensor_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensordot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_sparse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_topk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapz_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triangular_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tril_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_true_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trunc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unflatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_uniform_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_consecutive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_where_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_xlogy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zero__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_like_cpu_float32, test/test_fx.py::TestVisionTracing::test_torchvision_models_alexnet, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_base, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_tiny, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet121, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet161, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet169, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet201, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_320_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fcos_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_keypointrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssd300_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssdlite320_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b0, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b1, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b2, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b3, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b4, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b5, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b6, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_l, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_m, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_googlenet, test/test_fx.py::TestVisionTracing::test_torchvision_models_inception_v3, test/test_fx.py::TestVisionTracing::test_torchvision_models_maxvit_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_75, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_3, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_128gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet152, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet18, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet34, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_32x8d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_64x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext50_32x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_lraspp_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x2_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_1, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mc3_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v1_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r2plus1d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r3d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_s3d, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_h_14, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet101_2, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet50_2 2025-08-26T20:06:35.7940222Z 2025-08-26T20:06:35.7940493Z Running test_transformers_privateuse1 1/1 ... [2025-08-26 20:06:35.696554] 2025-08-26T20:06:37.7361164Z -- The CXX compiler identification is Clang 12.0.1 2025-08-26T20:06:37.8239703Z -- The C compiler identification is Clang 12.0.1 2025-08-26T20:06:37.8487174Z -- Detecting CXX compiler ABI info 2025-08-26T20:06:38.0661246Z -- Detecting CXX compiler ABI info - done 2025-08-26T20:06:38.0796109Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-26T20:06:38.0807227Z -- Detecting CXX compile features 2025-08-26T20:06:38.0819374Z -- Detecting CXX compile features - done 2025-08-26T20:06:38.1012688Z -- Detecting C compiler ABI info 2025-08-26T20:06:38.2200512Z -- Detecting C compiler ABI info - done 2025-08-26T20:06:38.2328201Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-26T20:06:38.2332141Z -- Detecting C compile features 2025-08-26T20:06:38.2336810Z -- Detecting C compile features - done 2025-08-26T20:06:38.6001741Z CMake Warning at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-08-26T20:06:38.6002603Z static library kineto_LIBRARY-NOTFOUND not found. 2025-08-26T20:06:38.6002995Z Call Stack (most recent call first): 2025-08-26T20:06:38.6003716Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-08-26T20:06:38.6004452Z CMakeLists.txt:29 (find_package) 2025-08-26T20:06:38.6004670Z 2025-08-26T20:06:38.6004784Z  2025-08-26T20:06:38.6010041Z -- Found Torch: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so 2025-08-26T20:06:38.6129838Z -- Configuring done (1.4s) 2025-08-26T20:06:38.6320254Z -- Generating done (0.0s) 2025-08-26T20:06:38.6333032Z -- Build files have been written to: /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/build 2025-08-26T20:06:38.7796637Z [ 5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o 2025-08-26T20:06:38.7798334Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o 2025-08-26T20:06:38.9447509Z [ 17%] Linking CXX shared library libopenreg.so 2025-08-26T20:06:39.0253193Z [ 17%] Built target openreg 2025-08-26T20:06:39.0350759Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o 2025-08-26T20:06:39.0352349Z [ 29%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o 2025-08-26T20:06:39.0359893Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o 2025-08-26T20:06:39.0361424Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o 2025-08-26T20:06:39.0365276Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o 2025-08-26T20:06:39.0366893Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o 2025-08-26T20:06:39.0369472Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o 2025-08-26T20:06:39.0372355Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o 2025-08-26T20:06:39.2227574Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o 2025-08-26T20:06:39.2563129Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o 2025-08-26T20:06:39.3003969Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o 2025-08-26T20:06:40.8465482Z [ 88%] Linking CXX shared library libtorch_openreg.so 2025-08-26T20:06:41.3649158Z [ 88%] Built target torch_openreg 2025-08-26T20:06:41.3736012Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o 2025-08-26T20:06:41.9950813Z [100%] Linking CXX shared library libtorch_bindings.so 2025-08-26T20:06:42.3141272Z [100%] Built target torch_bindings 2025-08-26T20:06:42.3209992Z Install the project... 2025-08-26T20:06:42.3235167Z -- Install configuration: "" 2025-08-26T20:06:42.3921390Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated 2025-08-26T20:06:42.3922413Z !! 2025-08-26T20:06:42.3922530Z 2025-08-26T20:06:42.3922693Z ******************************************************************************** 2025-08-26T20:06:42.3923553Z Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0). 2025-08-26T20:06:42.3924305Z 2025-08-26T20:06:42.3924591Z By 2026-Feb-18, you need to update your project and remove deprecated calls 2025-08-26T20:06:42.3925084Z or your builds will no longer be supported. 2025-08-26T20:06:42.3925338Z 2025-08-26T20:06:42.3925742Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-08-26T20:06:42.3926347Z ******************************************************************************** 2025-08-26T20:06:42.3926591Z 2025-08-26T20:06:42.3926671Z !! 2025-08-26T20:06:42.3926894Z corresp(dist, value, root_dir) 2025-08-26T20:06:42.4450929Z running install 2025-08-26T20:06:42.4465538Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T20:06:42.4466345Z !! 2025-08-26T20:06:42.4466458Z 2025-08-26T20:06:42.4466578Z ******************************************************************************** 2025-08-26T20:06:42.4466969Z Please avoid running ``setup.py`` directly. 2025-08-26T20:06:42.4467383Z Instead, use pypa/build, pypa/installer or other 2025-08-26T20:06:42.4467765Z standards-based tools. 2025-08-26T20:06:42.4467956Z 2025-08-26T20:06:42.4468212Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T20:06:42.4468687Z or your builds will no longer be supported. 2025-08-26T20:06:42.4468954Z 2025-08-26T20:06:42.4469257Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T20:06:42.4469792Z ******************************************************************************** 2025-08-26T20:06:42.4470034Z 2025-08-26T20:06:42.4470127Z !! 2025-08-26T20:06:42.4470352Z self.initialize_options() 2025-08-26T20:06:42.4595920Z running build 2025-08-26T20:06:42.4596341Z running build_py 2025-08-26T20:06:42.4672967Z creating build/lib.linux-x86_64-cpython-313/torch_openreg 2025-08-26T20:06:42.4674998Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg 2025-08-26T20:06:42.4683480Z copying torch_openreg/_utils.py -> build/lib.linux-x86_64-cpython-313/torch_openreg 2025-08-26T20:06:42.4691091Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-26T20:06:42.4692270Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-26T20:06:42.4699726Z copying torch_openreg/openreg/meta.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-26T20:06:42.4706798Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-26T20:06:42.4720544Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-26T20:06:42.4721685Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-26T20:06:42.4735564Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-26T20:06:42.4837404Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-26T20:06:42.4877081Z running build_ext 2025-08-26T20:06:42.4985881Z building 'torch_openreg._C' extension 2025-08-26T20:06:42.4987796Z creating build/temp.linux-x86_64-cpython-313/torch_openreg/csrc 2025-08-26T20:06:42.4991685Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/include/python3.13 -c torch_openreg/csrc/stub.c -o build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-unknown-pragmas -fno-strict-aliasing 2025-08-26T20:06:42.6184500Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -L/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/torch_openreg/lib -ltorch_bindings -o build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib 2025-08-26T20:06:42.6437414Z running install_lib 2025-08-26T20:06:42.6516253Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-08-26T20:06:42.6520233Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-08-26T20:06:42.6521954Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/__init__.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-08-26T20:06:42.6524101Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/_utils.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-08-26T20:06:42.6525921Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg 2025-08-26T20:06:42.6527942Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/openreg/__init__.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg 2025-08-26T20:06:42.6530408Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/openreg/meta.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg 2025-08-26T20:06:42.6532869Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/openreg/random.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg 2025-08-26T20:06:42.6534813Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-26T20:06:42.6536646Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libopenreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-26T20:06:42.6539043Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_openreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-26T20:06:42.6556007Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_bindings.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-26T20:06:42.6563366Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-08-26T20:06:42.6570389Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/__init__.py to __init__.cpython-313.pyc 2025-08-26T20:06:42.6574939Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/_utils.py to _utils.cpython-313.pyc 2025-08-26T20:06:42.6582120Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg/__init__.py to __init__.cpython-313.pyc 2025-08-26T20:06:42.6588748Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg/meta.py to meta.cpython-313.pyc 2025-08-26T20:06:42.6591916Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg/random.py to random.cpython-313.pyc 2025-08-26T20:06:42.6598505Z running install_egg_info 2025-08-26T20:06:42.6751319Z running egg_info 2025-08-26T20:06:42.6824199Z creating torch_openreg.egg-info 2025-08-26T20:06:42.6825050Z writing torch_openreg.egg-info/PKG-INFO 2025-08-26T20:06:42.6830420Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt 2025-08-26T20:06:42.6832148Z writing requirements to torch_openreg.egg-info/requires.txt 2025-08-26T20:06:42.6833625Z writing top-level names to torch_openreg.egg-info/top_level.txt 2025-08-26T20:06:42.6835247Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T20:06:42.6918333Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T20:06:42.6926600Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T20:06:42.6928065Z Copying torch_openreg.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg-0.0.1-py3.13.egg-info 2025-08-26T20:06:42.6935269Z running install_scripts 2025-08-26T20:06:42.9898628Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:06:42.9901650Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_transformers_privateuse1.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:06:42.989917] 2025-08-26T20:06:46.4104596Z 2025-08-26T20:06:46.4105719Z test_transformers_privateuse1 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_privateuse1_1.1_efab94c431fad8ea_.log 2025-08-26T20:06:46.4108133Z Running 3 items in this shard: test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_fused_sdp_choice_privateuseone, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable_backward 2025-08-26T20:06:46.4110074Z 2025-08-26T20:06:46.4110295Z Running test_cpp_api_parity 1/1 ... [2025-08-26 20:06:46.410747] 2025-08-26T20:06:46.4110709Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:06:46.4113347Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:06:46.411109] 2025-08-26T20:06:56.3894826Z 2025-08-26T20:06:56.3895672Z test_cpp_api_parity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_api_parity_1.1_375d3fd6e9dbc486_.log 2025-08-26T20:06:56.4245662Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_padded, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_padded_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_with_multiplier, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_with_multiplier_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_thnn, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_thnn_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_reflect_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zeros_stride2_pad2_cuda, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda 2025-08-26T20:06:56.4437979Z 2025-08-26T20:06:56.4438219Z Running test_extension_utils 1/1 ... [2025-08-26 20:06:56.390576] 2025-08-26T20:06:56.4438646Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:06:56.4439719Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:06:56.390914] 2025-08-26T20:06:59.5607266Z 2025-08-26T20:06:59.5608447Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_35c774231c1b8b72_.log 2025-08-26T20:06:59.5609956Z Running 2 items in this shard: test/test_extension_utils.py::TestExtensionUtils::test_external_module_register, test/test_extension_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend 2025-08-26T20:06:59.5611480Z 2025-08-26T20:06:59.5611856Z Running test_openreg 1/1 ... [2025-08-26 20:06:59.560923] 2025-08-26T20:07:00.9709905Z -- The CXX compiler identification is Clang 12.0.1 2025-08-26T20:07:01.0471656Z -- The C compiler identification is Clang 12.0.1 2025-08-26T20:07:01.0552559Z -- Detecting CXX compiler ABI info 2025-08-26T20:07:01.2272662Z -- Detecting CXX compiler ABI info - done 2025-08-26T20:07:01.2410007Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-26T20:07:01.2413011Z -- Detecting CXX compile features 2025-08-26T20:07:01.2419127Z -- Detecting CXX compile features - done 2025-08-26T20:07:01.2532658Z -- Detecting C compiler ABI info 2025-08-26T20:07:01.3728133Z -- Detecting C compiler ABI info - done 2025-08-26T20:07:01.3858861Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-26T20:07:01.3862232Z -- Detecting C compile features 2025-08-26T20:07:01.3866545Z -- Detecting C compile features - done 2025-08-26T20:07:01.4951239Z CMake Warning at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-08-26T20:07:01.4952110Z static library kineto_LIBRARY-NOTFOUND not found. 2025-08-26T20:07:01.4952483Z Call Stack (most recent call first): 2025-08-26T20:07:01.4953382Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-08-26T20:07:01.4954171Z CMakeLists.txt:29 (find_package) 2025-08-26T20:07:01.4954393Z 2025-08-26T20:07:01.4954963Z  2025-08-26T20:07:01.4962328Z -- Found Torch: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so 2025-08-26T20:07:01.4988846Z -- Configuring done (0.7s) 2025-08-26T20:07:01.5110360Z -- Generating done (0.0s) 2025-08-26T20:07:01.5124017Z -- Build files have been written to: /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/build 2025-08-26T20:07:01.6583400Z [ 5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o 2025-08-26T20:07:01.6585509Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o 2025-08-26T20:07:01.7545635Z [ 17%] Linking CXX shared library libopenreg.so 2025-08-26T20:07:01.8339995Z [ 17%] Built target openreg 2025-08-26T20:07:01.8435738Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o 2025-08-26T20:07:01.8437511Z [ 29%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o 2025-08-26T20:07:01.8439082Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o 2025-08-26T20:07:01.8443033Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o 2025-08-26T20:07:01.8447347Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o 2025-08-26T20:07:01.8451559Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o 2025-08-26T20:07:01.8457437Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o 2025-08-26T20:07:01.8463715Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o 2025-08-26T20:07:02.0394505Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o 2025-08-26T20:07:02.0711071Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o 2025-08-26T20:07:02.0972103Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o 2025-08-26T20:07:02.5557810Z [ 88%] Linking CXX shared library libtorch_openreg.so 2025-08-26T20:07:03.0602037Z [ 88%] Built target torch_openreg 2025-08-26T20:07:03.0687768Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o 2025-08-26T20:07:03.6239400Z [100%] Linking CXX shared library libtorch_bindings.so 2025-08-26T20:07:03.9423716Z [100%] Built target torch_bindings 2025-08-26T20:07:03.9487686Z Install the project... 2025-08-26T20:07:03.9514088Z -- Install configuration: "" 2025-08-26T20:07:04.0075635Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated 2025-08-26T20:07:04.0076630Z !! 2025-08-26T20:07:04.0076748Z 2025-08-26T20:07:04.0076896Z ******************************************************************************** 2025-08-26T20:07:04.0077777Z Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0). 2025-08-26T20:07:04.0078523Z 2025-08-26T20:07:04.0078755Z By 2026-Feb-18, you need to update your project and remove deprecated calls 2025-08-26T20:07:04.0079248Z or your builds will no longer be supported. 2025-08-26T20:07:04.0079500Z 2025-08-26T20:07:04.0079886Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-08-26T20:07:04.0080491Z ******************************************************************************** 2025-08-26T20:07:04.0080733Z 2025-08-26T20:07:04.0080814Z !! 2025-08-26T20:07:04.0081035Z corresp(dist, value, root_dir) 2025-08-26T20:07:04.0384205Z running install 2025-08-26T20:07:04.0386530Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T20:07:04.0387560Z !! 2025-08-26T20:07:04.0387674Z 2025-08-26T20:07:04.0387797Z ******************************************************************************** 2025-08-26T20:07:04.0388185Z Please avoid running ``setup.py`` directly. 2025-08-26T20:07:04.0388593Z Instead, use pypa/build, pypa/installer or other 2025-08-26T20:07:04.0388978Z standards-based tools. 2025-08-26T20:07:04.0389169Z 2025-08-26T20:07:04.0389413Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T20:07:04.0389888Z or your builds will no longer be supported. 2025-08-26T20:07:04.0390151Z 2025-08-26T20:07:04.0390454Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T20:07:04.0390994Z ******************************************************************************** 2025-08-26T20:07:04.0391332Z 2025-08-26T20:07:04.0391432Z !! 2025-08-26T20:07:04.0391719Z self.initialize_options() 2025-08-26T20:07:04.0521011Z running build 2025-08-26T20:07:04.0521274Z running build_py 2025-08-26T20:07:04.0600082Z creating build/lib.linux-x86_64-cpython-313/torch_openreg 2025-08-26T20:07:04.0602059Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg 2025-08-26T20:07:04.0604194Z copying torch_openreg/_utils.py -> build/lib.linux-x86_64-cpython-313/torch_openreg 2025-08-26T20:07:04.0606823Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-26T20:07:04.0608034Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-26T20:07:04.0610086Z copying torch_openreg/openreg/meta.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-26T20:07:04.0611839Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-26T20:07:04.0620093Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-26T20:07:04.0621475Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-26T20:07:04.0635153Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-26T20:07:04.0732608Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-26T20:07:04.0771817Z running build_ext 2025-08-26T20:07:04.0859904Z building 'torch_openreg._C' extension 2025-08-26T20:07:04.0861646Z creating build/temp.linux-x86_64-cpython-313/torch_openreg/csrc 2025-08-26T20:07:04.0865705Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/include/python3.13 -c torch_openreg/csrc/stub.c -o build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-unknown-pragmas -fno-strict-aliasing 2025-08-26T20:07:04.1728997Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -L/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/torch_openreg/lib -ltorch_bindings -o build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib 2025-08-26T20:07:04.1944328Z running install_lib 2025-08-26T20:07:04.2025522Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libopenreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-26T20:07:04.2027625Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_openreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-26T20:07:04.2047056Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_bindings.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-26T20:07:04.2054375Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-08-26T20:07:04.2060921Z running install_egg_info 2025-08-26T20:07:04.2212499Z running egg_info 2025-08-26T20:07:04.2285483Z writing torch_openreg.egg-info/PKG-INFO 2025-08-26T20:07:04.2289632Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt 2025-08-26T20:07:04.2296420Z writing requirements to torch_openreg.egg-info/requires.txt 2025-08-26T20:07:04.2305275Z writing top-level names to torch_openreg.egg-info/top_level.txt 2025-08-26T20:07:04.2395492Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T20:07:04.2405187Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T20:07:04.2415000Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg-0.0.1-py3.13.egg-info' (and everything under it) 2025-08-26T20:07:04.2416854Z Copying torch_openreg.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg-0.0.1-py3.13.egg-info 2025-08-26T20:07:04.2423272Z running install_scripts 2025-08-26T20:07:04.5355194Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:07:04.5358519Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_openreg.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:07:04.535615] 2025-08-26T20:07:09.1061743Z 2025-08-26T20:07:09.1062904Z test_openreg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openreg_1.1_7231b4749c92b489_.log 2025-08-26T20:07:09.1076420Z Running 44 items in this shard: test/test_openreg.py::TestPrivateUse1::test_backend_dispatchstub, test/test_openreg.py::TestPrivateUse1::test_backend_generate_methods, test/test_openreg.py::TestPrivateUse1::test_backend_module_function, test/test_openreg.py::TestPrivateUse1::test_backend_module_methods, test/test_openreg.py::TestPrivateUse1::test_backend_module_registration, test/test_openreg.py::TestPrivateUse1::test_backend_name, test/test_openreg.py::TestPrivateUse1::test_backend_operator_registration, test/test_openreg.py::TestPrivateUse1::test_backend_packed_sequence_methods, test/test_openreg.py::TestPrivateUse1::test_backend_storage_methods, test/test_openreg.py::TestPrivateUse1::test_backend_tensor_methods, test/test_openreg.py::TestPrivateUse1::test_backend_tensor_type, test/test_openreg.py::TestPrivateUse1::test_backend_type_methods, test/test_openreg.py::TestOpenReg::test_autograd_init, test/test_openreg.py::TestOpenReg::test_compile_autograd_function_aliasing, test/test_openreg.py::TestOpenReg::test_compile_autograd_function_returns_self, test/test_openreg.py::TestOpenReg::test_copy_same_device, test/test_openreg.py::TestOpenReg::test_cross_device_copy, test/test_openreg.py::TestOpenReg::test_cross_diff_devices_copy, test/test_openreg.py::TestOpenReg::test_data_dependent_output, test/test_openreg.py::TestOpenReg::test_event_elapsed_time, test/test_openreg.py::TestOpenReg::test_event_wait_stream, test/test_openreg.py::TestOpenReg::test_expand, test/test_openreg.py::TestOpenReg::test_factory, test/test_openreg.py::TestOpenReg::test_fake_tensor, test/test_openreg.py::TestOpenReg::test_generator, test/test_openreg.py::TestOpenReg::test_manual_seed, test/test_openreg.py::TestOpenReg::test_named_tensor, test/test_openreg.py::TestOpenReg::test_open_device_cpu_serialization, test/test_openreg.py::TestOpenReg::test_open_device_dlpack, test/test_openreg.py::TestOpenReg::test_open_device_numpy_serialization, test/test_openreg.py::TestOpenReg::test_pin_memory, test/test_openreg.py::TestOpenReg::test_printing, test/test_openreg.py::TestOpenReg::test_quantize, test/test_openreg.py::TestOpenReg::test_record_event, test/test_openreg.py::TestOpenReg::test_resize, test/test_openreg.py::TestOpenReg::test_rewrapped_storage, test/test_openreg.py::TestOpenReg::test_rng_state, test/test_openreg.py::TestOpenReg::test_scalar_type_fallback, test/test_openreg.py::TestOpenReg::test_serialization, test/test_openreg.py::TestOpenReg::test_stream_synchronize, test/test_openreg.py::TestOpenReg::test_stream_wait_event, test/test_openreg.py::TestOpenReg::test_stream_wait_stream, test/test_openreg.py::TestOpenReg::test_tensor_type_fallback, test/test_openreg.py::TestOpenReg::test_tensorlist_type_fallback 2025-08-26T20:07:09.1087884Z 2025-08-26T20:07:09.1088070Z Running test_show_pickle 1/1 ... [2025-08-26 20:07:09.106458] 2025-08-26T20:07:09.1088549Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:07:09.1089652Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:07:09.106771] 2025-08-26T20:07:12.2252347Z 2025-08-26T20:07:12.2253492Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_4145a340c37314a9_.log 2025-08-26T20:07:12.2254467Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model 2025-08-26T20:07:12.2255105Z 2025-08-26T20:07:12.2256726Z Running test_torch 1/1 ... [2025-08-26 20:07:12.225489] 2025-08-26T20:07:12.2257359Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:07:12.2260322Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:07:12.225805] 2025-08-26T20:07:29.5136391Z 2025-08-26T20:07:29.5137822Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_0938b1f6e38678b9_.log 2025-08-26T20:07:29.5450846Z Running 953 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals, test/test_torch.py::TestBasicVitalSigns::test_basic_vitals_read_write, test/test_torch.py::TestBasicVitalSigns::test_dataloader_vitals, test/test_torch.py::TestTorch::test_RNGState, test/test_torch.py::TestTorch::test_RNGStateAliasing, test/test_torch.py::TestTorch::test_RNG_after_pickle, test/test_torch.py::TestTorch::test_Size, test/test_torch.py::TestTorch::test_Size_concat_non_tuple_sequence, test/test_torch.py::TestTorch::test_Size_concat_wildcard, test/test_torch.py::TestTorch::test_Size_iter, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_add_meta_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, test/test_torch.py::TestTorch::test_apply, test/test_torch.py::TestTorch::test_as_subclass, test/test_torch.py::TestTorch::test_assert_async, test/test_torch.py::TestTorch::test_backward_hooks_traverse, test/test_torch.py::TestTorch::test_batch_norm_cpu_inference, test/test_torch.py::TestTorch::test_bf16_supported_on_cpu, test/test_torch.py::TestTorch::test_bmm_multithreaded, test/test_torch.py::TestTorch::test_boxMullerState, test/test_torch.py::TestTorch::test_cat_neg_dim, test/test_torch.py::TestTorch::test_check, test/test_torch.py::TestTorch::test_chunk_neg_dim, test/test_torch.py::TestTorch::test_conj_neg_tolist, test/test_torch.py::TestTorch::test_conj_physical_meta_stride, test/test_torch.py::TestTorch::test_contains, test/test_torch.py::TestTorch::test_copy_broadcast, test/test_torch.py::TestTorch::test_copy_dtypes, test/test_torch.py::TestTorch::test_copy_float16, test/test_torch.py::TestTorch::test_copy_many_to_one, test/test_torch.py::TestTorch::test_copy_transpose, test/test_torch.py::TestTorch::test_cuda_not_built, test/test_torch.py::TestTorch::test_cummax_neg_dim, test/test_torch.py::TestTorch::test_cummin_neg_dim, test/test_torch.py::TestTorch::test_cumprod_neg_dim, test/test_torch.py::TestTorch::test_cumsum_neg_dim, test/test_torch.py::TestTorch::test_cxx_flags, test/test_torch.py::TestTorch::test_data_ptr_of_empty_tensor_with_storage, test/test_torch.py::TestTorch::test_data_ptr_of_empty_view_with_storage, test/test_torch.py::TestTorch::test_deepcopy_gradient, test/test_torch.py::TestTorch::test_deepcopy_parameter, test/test_torch.py::TestTorch::test_deterministic_fill_uninitialized_memory, test/test_torch.py::TestTorch::test_deterministic_flag, test/test_torch.py::TestTorch::test_device, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_dir, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_doc_template, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_element_size, test/test_torch.py::TestTorch::test_empty_meta, test/test_torch.py::TestTorch::test_empty_storage_view, test/test_torch.py::TestTorch::test_equal, test/test_torch.py::TestTorch::test_error_msg_type_translation, test/test_torch.py::TestTorch::test_fill_diagonal, test/test_torch.py::TestTorch::test_format_scalar_meta, test/test_torch.py::TestTorch::test_from_buffer, test/test_torch.py::TestTorch::test_from_file, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, test/test_torch.py::TestTorch::test_get_cpu_capability, test/test_torch.py::TestTorch::test_has_internal_overlap, test/test_torch.py::TestTorch::test_has_storage, test/test_torch.py::TestTorch::test_index_add, test/test_torch.py::TestTorch::test_index_add_all_dtypes, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_arg_error_handling, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_kthvalue_neg_dim, test/test_torch.py::TestTorch::test_linspace_logspace, test/test_torch.py::TestTorch::test_logcumsumexp_neg_dim, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_map, test/test_torch.py::TestTorch::test_map2, test/test_torch.py::TestTorch::test_max_neg_dim, test/test_torch.py::TestTorch::test_mean_neg_dim, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_min_neg_dim, test/test_torch.py::TestTorch::test_mode_neg_dim, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_new, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_normal_shape, test/test_torch.py::TestTorch::test_numel, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_parsing_int64, test/test_torch.py::TestTorch::test_parsing_intlist, test/test_torch.py::TestTorch::test_permute, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_dtype, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_generator, test/test_torch.py::TestTorch::test_pickle_parameter, test/test_torch.py::TestTorch::test_pickle_parameter_no_requires_grad, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_pyobj_preserved, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_renorm_neg_dim, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_set_flush_denormal, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_size_neg_dim, test/test_torch.py::TestTorch::test_size_stride, test/test_torch.py::TestTorch::test_sizeof, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_slow_test, test/test_torch.py::TestTorch::test_sobolengine_bounds, test/test_torch.py::TestTorch::test_sobolengine_bounds_scrambled, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_default_dtype, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_distribution_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_base2, test/test_torch.py::TestTorch::test_sobolengine_draw_base2_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_fast_forward, test/test_torch.py::TestTorch::test_sobolengine_fast_forward_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_high_dim, test/test_torch.py::TestTorch::test_sobolengine_raise, test/test_torch.py::TestTorch::test_sobolengine_reset, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_squeeze_neg_dim, test/test_torch.py::TestTorch::test_std_neg_dim, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_base_new, test/test_torch.py::TestTorch::test_storage_byteswap, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_dict, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, test/test_torch.py::TestTorch::test_storage_dead_weak_ref, test/test_torch.py::TestTorch::test_storage_dealloc, test/test_torch.py::TestTorch::test_storage_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_zombie, test/test_torch.py::TestTorch::test_storage_dict_dealloc, test/test_torch.py::TestTorch::test_storage_error, test/test_torch.py::TestTorch::test_storage_error_no_attribute, test/test_torch.py::TestTorch::test_storage_finalizer_dealloc, test/test_torch.py::TestTorch::test_storage_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_zombie, test/test_torch.py::TestTorch::test_storage_preserve_nonhermetic_in_hermetic_context, test/test_torch.py::TestTorch::test_storage_resurrected_weak_ref, test/test_torch.py::TestTorch::test_storage_slot_dealloc, test/test_torch.py::TestTorch::test_storage_weakref_dealloc, test/test_torch.py::TestTorch::test_structseq_repr, test/test_torch.py::TestTorch::test_subclass_preserved, test/test_torch.py::TestTorch::test_subclass_tensors, test/test_torch.py::TestTorch::test_sum_neg_dim, test/test_torch.py::TestTorch::test_swap_basic, test/test_torch.py::TestTorch::test_swap_fail_slots, test/test_torch.py::TestTorch::test_t_not_2d_error, test/test_torch.py::TestTorch::test_tensor_base_init, test/test_torch.py::TestTorch::test_tensor_base_new, test/test_torch.py::TestTorch::test_tensor_ctor_scalar, test/test_torch.py::TestTorch::test_tensor_cycle_via_dict, test/test_torch.py::TestTorch::test_tensor_cycle_via_slots, test/test_torch.py::TestTorch::test_tensor_dead_weak_ref, test/test_torch.py::TestTorch::test_tensor_dict_dealloc, test/test_torch.py::TestTorch::test_tensor_finalizer_dealloc, test/test_torch.py::TestTorch::test_tensor_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_tensor_item_no_warning, test/test_torch.py::TestTorch::test_tensor_ressurecting_clear, test/test_torch.py::TestTorch::test_tensor_resurrected_weak_ref, test/test_torch.py::TestTorch::test_tensor_set, test/test_torch.py::TestTorch::test_tensor_set_errors, test/test_torch.py::TestTorch::test_tensor_slot_dealloc, test/test_torch.py::TestTorch::test_tensor_weakref_dealloc, test/test_torch.py::TestTorch::test_tensor_where_scalar, test/test_torch.py::TestTorch::test_tensor_with_grad_to_scalar_warning, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_terminate_handler_on_crash, test/test_torch.py::TestTorch::test_to, test/test_torch.py::TestTorch::test_to_with_tensor, test/test_torch.py::TestTorch::test_topk_neg_dim, test/test_torch.py::TestTorch::test_torch_from_file, test/test_torch.py::TestTorch::test_transpose_neg_dim, test/test_torch.py::TestTorch::test_type, test/test_torch.py::TestTorch::test_type_alias, test/test_torch.py::TestTorch::test_type_conversion_via_dtype_name, test/test_torch.py::TestTorch::test_typed_storage_deprecation_warning, test/test_torch.py::TestTorch::test_typed_storage_internal_no_warning, test/test_torch.py::TestTorch::test_unbind_neg_dim, test/test_torch.py::TestTorch::test_unflatten, test/test_torch.py::TestTorch::test_unfold_neg_dim, test/test_torch.py::TestTorch::test_unsqueeze_neg_dim, test/test_torch.py::TestTorch::test_upsample_nearest1d_meta, test/test_torch.py::TestTorch::test_upsample_nearest2d_meta, test/test_torch.py::TestTorch::test_var_neg_dim, test/test_torch.py::TestTorch::test_warn_types, test/test_torch.py::TestTorch::test_wildcard_import, test/test_torch.py::TestVitalSignsCudaCPU::test_cuda_vitals_gpu_only_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test__local_scalar_dense_with_empty_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cuda_errors_with_cpu_scalars_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_assertRaisesRegex_ignore_msg_non_native_device_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bfloat16_neg_abs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bool_tensor_value_change_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_add_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcdiv_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcmul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_atan2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_div_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_eq_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_fmod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ge_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_gt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_le_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lerp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_fill_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_scatter_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_select_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_min_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_mul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ne_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_pow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_remainder_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_sub_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_cuda_backward_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_euclidean_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_grad_p_lt_1_no_nan_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_same_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_all_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_internal_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_not_memory_dense_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_zero_stride_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_complex_half_experimental_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_constants_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_backward_agnostic_to_memory_format_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_math_view_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cov_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cpp_warnings_have_python_context_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cublas_config_nondeterministic_alert_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_cummin_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummin_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumprod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_64bit_indexing_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_replication_pad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_device_guard_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_dim_function_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_discontiguous_out_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dtypetensor_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_expected_failure_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_deterministic_path_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_one_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scale_will_not_overflow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_deprecated_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_pass_itself_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_accumulation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_separate_unscale_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_multiple_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_penalty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_state_dict_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_sparse_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_update_scale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_type_promotion_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_hook_remove_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_large_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_put_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_int64_upsample3d_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_invalid_shapes_grid_sampler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_set_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_signed_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex64, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_and_graph_partition_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_pdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pdist_norm_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pickle_gradscaler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pin_memory_from_constructor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_reduced_type_float_copy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_reduced_type_float_copy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_repeat_interleave_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scalar_check_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_bool_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_non_unique_index_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_one_dim_deterministic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_to_large_input_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_bool_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_to_large_input_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_zero_size_index_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_serialization_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_default_tensor_type_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_shift_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_skip_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_all_devices_non_blocking_False_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_all_devices_non_blocking_True_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint4x2, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_use_count_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_strides_propagation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_sync_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_set_errors_multigpu_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_shape_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_ternary_op_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_untyped_storage_meta_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_warn_always_caught_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_where_scalar_handcrafted_values_cpu 2025-08-26T20:07:29.5977210Z 2025-08-26T20:07:29.5977607Z Running test_tensorexpr 1/1 ... [2025-08-26 20:07:29.515717] 2025-08-26T20:07:29.5978399Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:07:29.5980416Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:07:29.516131] 2025-08-26T20:07:50.2072667Z 2025-08-26T20:07:50.2074002Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_4d600b22c33f8d1f_.log 2025-08-26T20:07:50.2099978Z Running 74 items in this shard: test/test_tensorexpr.py::TestTensorExprFuser::test_add_const_rhs, test/test_tensorexpr.py::TestTensorExprFuser::test_add_sub, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_input_and_module, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_module, test/test_tensorexpr.py::TestTensorExprFuser::test_all_combos, test/test_tensorexpr.py::TestTensorExprFuser::test_alpha, test/test_tensorexpr.py::TestTensorExprFuser::test_binary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_bitwise_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast3, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_2, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_big2, test/test_tensorexpr.py::TestTensorExprFuser::test_cat, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_empty_tensors, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_negative_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_only, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_promote_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_with_constant_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_char, test/test_tensorexpr.py::TestTensorExprFuser::test_chunk, test/test_tensorexpr.py::TestTensorExprFuser::test_clamp, test/test_tensorexpr.py::TestTensorExprFuser::test_constant, test/test_tensorexpr.py::TestTensorExprFuser::test_double, test/test_tensorexpr.py::TestTensorExprFuser::test_double_intrinsics, test/test_tensorexpr.py::TestTensorExprFuser::test_dynamic_shape, test/test_tensorexpr.py::TestTensorExprFuser::test_easy, test/test_tensorexpr.py::TestTensorExprFuser::test_eq, test/test_tensorexpr.py::TestTensorExprFuser::test_exp_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_four_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_ge, test/test_tensorexpr.py::TestTensorExprFuser::test_gt, test/test_tensorexpr.py::TestTensorExprFuser::test_guard_fails, test/test_tensorexpr.py::TestTensorExprFuser::test_half_bn_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_half_gelu, test/test_tensorexpr.py::TestTensorExprFuser::test_int64_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_int_output, test/test_tensorexpr.py::TestTensorExprFuser::test_le, test/test_tensorexpr.py::TestTensorExprFuser::test_loop, test/test_tensorexpr.py::TestTensorExprFuser::test_lt, test/test_tensorexpr.py::TestTensorExprFuser::test_mask, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction2, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1_2, test/test_tensorexpr.py::TestTensorExprFuser::test_multi_rand, test/test_tensorexpr.py::TestTensorExprFuser::test_multioutput, test/test_tensorexpr.py::TestTensorExprFuser::test_multiple_outputs, test/test_tensorexpr.py::TestTensorExprFuser::test_nans, test/test_tensorexpr.py::TestTensorExprFuser::test_ne, test/test_tensorexpr.py::TestTensorExprFuser::test_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_propagated_mem_layout, test/test_tensorexpr.py::TestTensorExprFuser::test_rand_like, test/test_tensorexpr.py::TestTensorExprFuser::test_rank_two, test/test_tensorexpr.py::TestTensorExprFuser::test_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_remainder, test/test_tensorexpr.py::TestTensorExprFuser::test_reps, test/test_tensorexpr.py::TestTensorExprFuser::test_round_2, test/test_tensorexpr.py::TestTensorExprFuser::test_scalar, test/test_tensorexpr.py::TestTensorExprFuser::test_short, test/test_tensorexpr.py::TestTensorExprFuser::test_simple_add, test/test_tensorexpr.py::TestTensorExprFuser::test_sin_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_slice, test/test_tensorexpr.py::TestTensorExprFuser::test_sliced_stride, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cpu, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cuda, test/test_tensorexpr.py::TestTensorExprFuser::test_strided_output_preserved, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg2, test/test_tensorexpr.py::TestTensorExprFuser::test_transpose, test/test_tensorexpr.py::TestTensorExprFuser::test_unary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_unsqueeze, test/test_tensorexpr.py::TestTensorExprFuser::test_where 2025-08-26T20:07:50.2120580Z 2025-08-26T20:07:50.2120831Z Running test_namedtuple_return_api 1/1 ... [2025-08-26 20:07:50.207718] 2025-08-26T20:07:50.2121294Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:07:50.2122467Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:07:50.208138] 2025-08-26T20:07:54.2788852Z 2025-08-26T20:07:54.2789724Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_abea52243ff89849_.log 2025-08-26T20:07:54.2791575Z Running 3 items in this shard: test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_import_return_types, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_namedtuple_return, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_native_functions_yaml 2025-08-26T20:07:54.2792825Z 2025-08-26T20:07:54.2793098Z Running test_multiprocessing 1/1 ... [2025-08-26 20:07:54.279130] 2025-08-26T20:07:54.2793543Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:07:54.2796745Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:07:54.279460] 2025-08-26T20:08:53.6302673Z 2025-08-26T20:08:53.6304002Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_b6a9e3301b45836e_.log 2025-08-26T20:08:53.6323267Z Running 42 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_autograd_errors, test/test_multiprocessing.py::TestMultiprocessing::test_autograd_fine_with_spawn, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_bad_call, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_ipc_deadlock, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_memory_allocation, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_send_many, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_small_tensors, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_shared, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_event, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_exporter, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_importer, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_multi_gpu, test/test_multiprocessing.py::TestMultiprocessing::test_event_multiprocess, test/test_multiprocessing.py::TestMultiprocessing::test_fd_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fd_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fd_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs, test/test_multiprocessing.py::TestMultiprocessing::test_fs_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_fs_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fs_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_inherit_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cpu, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_mixed_types_cuda_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_non_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_rebuild_cuda_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_set_thread_name, test/test_multiprocessing.py::TestMultiprocessing::test_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_wrong_cuda_fork 2025-08-26T20:08:53.6337649Z 2025-08-26T20:08:53.6337890Z Running test_autograd_fallback 1/1 ... [2025-08-26 20:08:53.630557] 2025-08-26T20:08:53.6338378Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:08:53.6339446Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:53.630926] 2025-08-26T20:08:56.8996287Z 2025-08-26T20:08:56.8997252Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_5e0ab8b023c7a29a_.log 2025-08-26T20:08:56.9010416Z Running 28 items in this shard: test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_warn 2025-08-26T20:08:56.9022700Z 2025-08-26T20:08:56.9022908Z Running test_fake_tensor 1/1 ... [2025-08-26 20:08:56.899894] 2025-08-26T20:08:56.9023319Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:08:56.9024353Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:56.900278] 2025-08-26T20:09:08.9813602Z 2025-08-26T20:09:08.9814894Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_7f8a5e0bec5731da_.log 2025-08-26T20:09:08.9940702Z Running 290 items in this shard: test/test_fake_tensor.py::FakeTensorTest::test__adaptive_avg_pool2d_backward, test/test_fake_tensor.py::FakeTensorTest::test_alias_call, test/test_fake_tensor.py::FakeTensorTest::test_allow_meta, test/test_fake_tensor.py::FakeTensorTest::test_aten_copy_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_index_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_slice_scatter_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_basic, test/test_fake_tensor.py::FakeTensorTest::test_batch_tensor, test/test_fake_tensor.py::FakeTensorTest::test_binary_op_type_promotion, test/test_fake_tensor.py::FakeTensorTest::test_constructor, test/test_fake_tensor.py::FakeTensorTest::test_convert_fake_to_real, test/test_fake_tensor.py::FakeTensorTest::test_cpu_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cuda_initialized, test/test_fake_tensor.py::FakeTensorTest::test_cuda_lstm, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_with_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_without_fallback, test/test_fake_tensor.py::FakeTensorTest::test_custom_op_fallback, test/test_fake_tensor.py::FakeTensorTest::test_data_dependent_operator, test/test_fake_tensor.py::FakeTensorTest::test_deepcopy, test/test_fake_tensor.py::FakeTensorTest::test_device_inplace_copy, test/test_fake_tensor.py::FakeTensorTest::test_embedding_bag_meta, test/test_fake_tensor.py::FakeTensorTest::test_export_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fake_device, test/test_fake_tensor.py::FakeTensorTest::test_fake_dispatch_keys, test/test_fake_tensor.py::FakeTensorTest::test_fake_grad_copy, test/test_fake_tensor.py::FakeTensorTest::test_fake_mode_error, test/test_fake_tensor.py::FakeTensorTest::test_fast_div, test/test_fake_tensor.py::FakeTensorTest::test_from_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fsdp_flat_param, test/test_fake_tensor.py::FakeTensorTest::test_full, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex128, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int16, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int8, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_uint8, test/test_fake_tensor.py::FakeTensorTest::test_index_put_error, test/test_fake_tensor.py::FakeTensorTest::test_jagged_fake_to_fake_preserved, test/test_fake_tensor.py::FakeTensorTest::test_like_constructor, test/test_fake_tensor.py::FakeTensorTest::test_mixed_real_and_fake_inputs, test/test_fake_tensor.py::FakeTensorTest::test_mode, test/test_fake_tensor.py::FakeTensorTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorTest::test_nanmean_out, test/test_fake_tensor.py::FakeTensorTest::test_new, test/test_fake_tensor.py::FakeTensorTest::test_no_tag_func, test/test_fake_tensor.py::FakeTensorTest::test_non_kwarg_device, test/test_fake_tensor.py::FakeTensorTest::test_non_overlapping_stride_zero, test/test_fake_tensor.py::FakeTensorTest::test_non_parameter_grad, test/test_fake_tensor.py::FakeTensorTest::test_normalize_device, test/test_fake_tensor.py::FakeTensorTest::test_op_with_zero_dim_bypassed, test/test_fake_tensor.py::FakeTensorTest::test_out_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_parameter_instantiation, test/test_fake_tensor.py::FakeTensorTest::test_parameter_view, test/test_fake_tensor.py::FakeTensorTest::test_print_in_fake_mode, test/test_fake_tensor.py::FakeTensorTest::test_randperm, test/test_fake_tensor.py::FakeTensorTest::test_recursive_invocation, test/test_fake_tensor.py::FakeTensorTest::test_repr, test/test_fake_tensor.py::FakeTensorTest::test_same_shape_env_preserved, test/test_fake_tensor.py::FakeTensorTest::test_scalar_inputs, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_False, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_True, test/test_fake_tensor.py::FakeTensorTest::test_setitem, test/test_fake_tensor.py::FakeTensorTest::test_shape_take_not_device, test/test_fake_tensor.py::FakeTensorTest::test_split_return_self, test/test_fake_tensor.py::FakeTensorTest::test_throw, test/test_fake_tensor.py::FakeTensorTest::test_tolist, test/test_fake_tensor.py::FakeTensorTest::test_type_as, test/test_fake_tensor.py::FakeTensorTest::test_unbind_copy_out, test/test_fake_tensor.py::FakeTensorTest::test_unsqueeze_copy, test/test_fake_tensor.py::FakeTensorTest::test_upsample_bilinear_small_channels, test/test_fake_tensor.py::FakeTensorTest::test_zero_dim, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test__adaptive_avg_pool2d_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_alias_call_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_allow_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_copy_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_index_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_slice_scatter_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_basic_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_batch_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_binary_op_type_promotion_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_convert_fake_to_real_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cpu_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_initialized_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_lstm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_with_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_without_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_custom_op_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_data_dependent_operator_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_deepcopy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_device_inplace_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_embedding_bag_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_export_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_dispatch_keys_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_grad_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_from_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fsdp_flat_param_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_full_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex128_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int16_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_uint8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_put_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_jagged_fake_to_fake_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_like_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mixed_real_and_fake_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nanmean_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_no_tag_func_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_overlapping_stride_zero_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_parameter_grad_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_normalize_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_op_with_zero_dim_bypassed_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_out_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_instantiation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_print_in_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_randperm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_recursive_invocation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_repr_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_same_shape_env_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scalar_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_False_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_True_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_setitem_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_shape_take_not_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_split_return_self_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_throw_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_tolist_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_type_as_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unbind_copy_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unsqueeze_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_upsample_bilinear_small_channels_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_zero_dim_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorConstHandling::test_aliased_const_write, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_propagate_through_functions, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_batch_norm_cpu, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_in_intlist_repro, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_add, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_view_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storage_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storages, test/test_fake_tensor.py::FakeTensorConstHandling::test_simple, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_aliased_const_write_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_propagate_through_functions_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_batch_norm_cpu_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_in_intlist_repro_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_add_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_view_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storage_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storages_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_simple_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_key, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_weak_ref, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_from_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_to_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_multiple_modes, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_active_mode, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_ref_cycle, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_mode_error, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_non_view, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_view, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_key_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_weak_ref_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_from_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_to_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_multiple_modes_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_active_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_ref_cycle_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_non_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_view_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_conv_c1_backward, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_cross_entropy_loss, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_embedding_bag_private, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_fake_gpu_no_init, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_flash_attention, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_like_ops, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_no_dispatch_with_like_function, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_non_kwarg_only_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_sparse_new, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_str_storage, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_new, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_conv_c1_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_cross_entropy_loss_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_embedding_bag_private_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_fake_gpu_no_init_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_flash_attention_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_like_ops_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_module_to_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_no_dispatch_with_like_function_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_non_kwarg_only_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_sparse_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_str_storage_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_new_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args, test/test_fake_tensor.py::FakeTensorPropTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorPropTest::test_nonzero_stride, test/test_fake_tensor.py::FakeTensorPropTest::test_torch_load_with_fake_mode, test/test_fake_tensor.py::FakeTensorPropTest::test_unbacked_shape_realloc, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nonzero_stride_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_torch_load_with_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_unbacked_shape_realloc_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization_with_tracing, test/test_fake_tensor.py::FakeTensorDispatchCache::test__upsample_bilinear2d_aa_backward_dynamic_shapes, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_aten_index, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_bypass, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_dispatch_key_set, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_hit, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_inplace_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_constants, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_conj, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_inference, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_neg, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_memory_format, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_requires_grad, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_shape, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_storage_offset, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_stride, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_tuple_outputs, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_view_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_fft_hfft2_issue145522, test/test_fake_tensor.py::FakeTensorDispatchCache::test_from_buffer, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph_cacheable_inplace, test/test_fake_tensor.py::FakeTensorDispatchCache::test_meta_tensor_to_fake_cpu, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_unbacked_output, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type_cpu_only 2025-08-26T20:09:09.0057858Z 2025-08-26T20:09:09.0058082Z Running test_python_dispatch 1/1 ... [2025-08-26 20:09:08.982347] 2025-08-26T20:09:09.0058522Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:09:09.0059605Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:08.982759] 2025-08-26T20:09:14.2541726Z 2025-08-26T20:09:14.2543140Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_0ac1e176b9116eba_.log 2025-08-26T20:09:14.2591016Z Running 118 items in this shard: test/test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed, test/test_python_dispatch.py::TestPythonRegistration::test_alias_analysis, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_eq, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_fallback, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset, test/test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls, test/test_python_dispatch.py::TestPythonRegistration::test_finalizer, test/test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries, test/test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum, test/test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator, test/test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint, test/test_python_dispatch.py::TestPythonDispatch::test_all_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr, test/test_python_dispatch.py::TestPythonDispatch::test_basic, test/test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor, test/test_python_dispatch.py::TestPythonDispatch::test_custom_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_not_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes, test/test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type, test/test_python_dispatch.py::TestPythonDispatch::test_detach_appears_twice_when_called_once, test/test_python_dispatch.py::TestPythonDispatch::test_device_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_uint64, test/test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode, test/test_python_dispatch.py::TestPythonDispatch::test_exception_handling, test/test_python_dispatch.py::TestPythonDispatch::test_fancy_strides, test/test_python_dispatch.py::TestPythonDispatch::test_format, test/test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode, test/test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack, test/test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_invalid_ret, test/test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default, test/test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_like, test/test_python_dispatch.py::TestPythonDispatch::test_list_ret, test/test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata, test/test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug, test/test_python_dispatch.py::TestPythonDispatch::test_mode_detection, test/test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode, test/test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_new_ones, test/test_python_dispatch.py::TestPythonDispatch::test_none_wrapping, test/test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode, test/test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list, test/test_python_dispatch.py::TestPythonDispatch::test_out, test/test_python_dispatch.py::TestPythonDispatch::test_produce_real_type, test/test_python_dispatch.py::TestPythonDispatch::test_record_stream, test/test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride, test/test_python_dispatch.py::TestPythonDispatch::test_return_stream, test/test_python_dispatch.py::TestPythonDispatch::test_set_data, test/test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach, test/test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_storage, test/test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object, test/test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_creation, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors, test/test_python_dispatch.py::TestPythonDispatch::test_version, test/test_python_dispatch.py::TestPythonDispatch::test_view_returns_alias_under_torch_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately, test/test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_multiprocessing_preserves_dtype, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes, test/test_python_dispatch.py::TestPythonDispatcher::test_basic, test/test_python_dispatch.py::TestPythonDispatcher::test_lstsq, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_fft_fft2_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32 2025-08-26T20:09:14.2636409Z 2025-08-26T20:09:14.2636600Z Running test_autocast 1/1 ... [2025-08-26 20:09:14.254501] 2025-08-26T20:09:14.2637081Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:09:14.2638129Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:14.254832] 2025-08-26T20:09:18.0754988Z 2025-08-26T20:09:18.0755889Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_c3638cd76c68ee1d_.log 2025-08-26T20:09:18.0762940Z Running 20 items in this shard: test/test_autocast.py::TestAutocastCPU::test_autocast_disabled_with_fp32_dtype, test/test_autocast.py::TestAutocastCPU::test_autocast_methods_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_16, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_rnn, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_16, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_need_autocast_promote, test/test_autocast.py::TestAutocastCPU::test_cpu_autocast_deprecated_warning, test/test_autocast.py::TestAutocastCPU::test_generic_autocast, test/test_autocast.py::TestAutocastGPU::test_autocast_prioritize, test/test_autocast.py::TestAutocastGPU::test_cache_disabled, test/test_autocast.py::TestAutocastGPU::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_bfloat16_supported, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_error_message, test/test_autocast.py::TestTorchAutocast::test_autocast_fast_dtype, test/test_autocast.py::TestTorchAutocast::test_invalid_device, test/test_autocast.py::TestTorchAutocast::test_non_string_device 2025-08-26T20:09:18.0769942Z 2025-08-26T20:09:18.0770236Z Running test_jit_disabled 1/1 ... [2025-08-26 20:09:18.075717] 2025-08-26T20:09:18.0770652Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:09:18.0771827Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:18.076051] 2025-08-26T20:09:21.2945967Z 2025-08-26T20:09:21.2947294Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_aad8bc11ab7a6c7f_.log 2025-08-26T20:09:21.2949981Z Running 3 items in this shard: test/test_jit_disabled.py::TestJitDisabled::test_attribute, test/test_jit_disabled.py::TestJitDisabled::test_recursive_script, test/test_jit_disabled.py::TestJitDisabled::test_script_module_construction 2025-08-26T20:09:21.2951723Z 2025-08-26T20:09:21.2952042Z Running test_dispatch 1/1 ... [2025-08-26 20:09:21.294855] 2025-08-26T20:09:21.2952658Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:09:21.2955548Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:21.295270] 2025-08-26T20:09:47.7951544Z 2025-08-26T20:09:47.7955089Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_12cdbe5b68453dda_.log 2025-08-26T20:09:47.7969354Z Running 32 items in this shard: test/test_dispatch.py::TestDispatch::test_all_invariants, test/test_dispatch.py::TestDispatch::test_computed_table, test/test_dispatch.py::TestDispatch::test_computed_table_with_ambiguous_autogradother, test/test_dispatch.py::TestDispatch::test_computed_table_with_autograd, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math_autogradcpu_fallthrough, test/test_dispatch.py::TestDispatch::test_computed_table_with_math, test/test_dispatch.py::TestDispatch::test_def, test/test_dispatch.py::TestDispatch::test_def_impl_schema_mismatch, test/test_dispatch.py::TestDispatch::test_def_only, test/test_dispatch.py::TestDispatch::test_def_with_explicit_alias, test/test_dispatch.py::TestDispatch::test_def_with_inference, test/test_dispatch.py::TestDispatch::test_dispatch_print_registrations_for_dispatch_key_invalid, test/test_dispatch.py::TestDispatch::test_find_dangling_impls, test/test_dispatch.py::TestDispatch::test_find_dangling_impls_ext, test/test_dispatch.py::TestDispatch::test_impl_only, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_defaulting, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_mismatch, test/test_dispatch.py::TestDispatch::test_multiple_def_error, test/test_dispatch.py::TestDispatch::test_multiple_fallback, test/test_dispatch.py::TestDispatch::test_overwrite_math, test/test_dispatch.py::TestPythonDispatcher::test_autogradother, test/test_dispatch.py::TestPythonDispatcher::test_basic, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_math, test/test_dispatch.py::TestPythonDispatcher::test_duplicate_registrations, test/test_dispatch.py::TestPythonDispatcher::test_math_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_quantized_structured_not_implemented 2025-08-26T20:09:47.7979512Z 2025-08-26T20:09:47.7979781Z Running test_native_mha 1/1 ... [2025-08-26 20:09:47.795639] 2025-08-26T20:09:47.7980201Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:09:47.7981293Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:47.796070] 2025-08-26T20:09:51.1650408Z 2025-08-26T20:09:51.1651297Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_a975696ee516cf2b_.log 2025-08-26T20:09:51.1673984Z Running 28 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_encoder_decoder_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_nested_cpu_float32 2025-08-26T20:09:51.1695128Z 2025-08-26T20:09:51.1695326Z Running test_sort_and_select 1/1 ... [2025-08-26 20:09:51.165281] 2025-08-26T20:09:51.1695749Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:09:51.1696810Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:51.165641] 2025-08-26T20:09:56.6374967Z 2025-08-26T20:09:56.6375957Z test_sort_and_select 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sort_and_select_1.1_b92594d73bb410cc_.log 2025-08-26T20:09:56.6415921Z Running 113 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCPU::test_complex_unsupported_cpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_dtypes_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_scalar_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_slow_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_expanded_tensor_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_slice_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_restride_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_stable_none_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_4d_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_arguments_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_noncontiguous_gpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_quantized_scalar_input_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_dim_cpu 2025-08-26T20:09:56.6454978Z 2025-08-26T20:09:56.6455204Z Running test_cpp_extensions_jit 1/1 ... [2025-08-26 20:09:56.637929] 2025-08-26T20:09:56.6455650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:09:56.6456724Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:56.638301] 2025-08-26T20:10:31.9079367Z 2025-08-26T20:10:31.9080450Z test_cpp_extensions_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_jit_1.1_299bb2132ec1dc7a_.log 2025-08-26T20:10:31.9094842Z Running 34 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_aoti_torch_call_dispatcher, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_autograd_from_cpp, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_compilation_error_formatting, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_same_output_as_python, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_up_to_date_attributes, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op_with_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_non_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_pluggable_allocator_include, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_compound_op_autograd, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_functorch_error, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_gen_extension_h_pch, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_half_support, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_custom_op_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_multiple_sources_and_no_functions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_throws_when_functions_is_bad, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_dict, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_list, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_xpu, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_compile_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_archflags, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cudnn_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_archlists, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_lenient_flag_handling_in_jit_extensions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_load_with_non_platform_default_encoding, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_mps_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_reload_jit_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_returns_shared_library_path_when_is_python_module_is_true, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_set_default_type_also_changes_aten_default_type, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_warning 2025-08-26T20:10:31.9108303Z 2025-08-26T20:10:31.9108507Z Running nn/test_pooling 1/1 ... [2025-08-26 20:10:31.908064] 2025-08-26T20:10:31.9108903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:10:31.9109957Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:31.908381] 2025-08-26T20:11:05.7290780Z 2025-08-26T20:11:05.7291959Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_fe198ce45fd439ed_.log 2025-08-26T20:11:05.7340356Z Running 111 items in this shard: test/nn/test_pooling.py::TestAvgPool::test_avg_pool1d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool2d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool3d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d_with_divisor, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d_with_divisor, test/nn/test_pooling.py::TestPoolingNN::test_MaxUnpool2d_output_size, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_nhwc_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_backward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_forward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_non_contiguous, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_lower_precision, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_none, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_overflow, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool2d_nhwc_cpu, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool3d_input_check, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool1d_empty_kernel, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool3d, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool2d_empty_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool3d_backward_after_cat_dim1_device_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_errors_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case10_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case4_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case5_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case6_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case7_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case8_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case9_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool2d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool3d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_max_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool3d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_with_indices_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool3d_non_square_backward_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool_indices_no_batch_dim_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_large_size_int64_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_size_one_feature_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_invalid_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_large_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_bfloat16_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_zero_stride_cpu 2025-08-26T20:11:05.7383889Z 2025-08-26T20:11:05.7384091Z Running nn/test_convolution 1/1 ... [2025-08-26 20:11:05.729727] 2025-08-26T20:11:05.7384526Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:11:05.7385607Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:05.730119] 2025-08-26T20:11:30.6816103Z 2025-08-26T20:11:30.6817041Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_c66d506238a8795b_.log 2025-08-26T20:11:30.7173172Z Running 598 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, test/nn/test_convolution.py::TestConvolutionNN::test_conv_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_modules_raise_error_on_incorrect_input_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv_padding_mode, test/nn/test_convolution.py::TestConvolutionNN::test_conv_shapecheck, test/nn/test_convolution.py::TestConvolutionNN::test_conv_tbc, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_non_contiguous, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_noncontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_not_mutate_stride, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv1d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv3d, test/nn/test_convolution.py::TestConvolutionNN::test_mismatch_shape_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_nnpack_conv, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, test/nn/test_convolution.py::TestConvolutionNN::test_thnn_conv_strided_padded_dilated, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_complex128, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_large_output_padding_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_large_output_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose3d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_contig_wrong_stride_cudnn_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_cpu_complex64, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_contiguous_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_mismatch_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_groups_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_no_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_stride_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_strided_with_3D_input_and_weight_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_ic1_channels_last_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_batch_1_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_nosplit_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_and_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transposed_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv2d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv3d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_depthwise_conv_64bit_indexing_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_conv_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float64 2025-08-26T20:11:30.7517354Z 2025-08-26T20:11:31.1720163Z Uploading artifacts took 0.49 seconds 2025-08-26T20:11:31.1723059Z Running test_multiprocessing_spawn 1/1 ... [2025-08-26 20:11:31.172096] 2025-08-26T20:11:31.1723559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:11:31.1726775Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:31.172445] 2025-08-26T20:13:49.5753104Z 2025-08-26T20:13:49.5754738Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_9d087bf7a8985b81_.log 2025-08-26T20:13:49.5776557Z Running 31 items in this shard: test/test_multiprocessing_spawn.py::SpawnTest::test_exception_all, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_single, test/test_multiprocessing_spawn.py::SpawnTest::test_first_argument_index, test/test_multiprocessing_spawn.py::SpawnTest::test_signal_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_success, test/test_multiprocessing_spawn.py::SpawnTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::SpawnTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ForkTest::test_exception_all, test/test_multiprocessing_spawn.py::ForkTest::test_exception_single, test/test_multiprocessing_spawn.py::ForkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ForkTest::test_success, test/test_multiprocessing_spawn.py::ForkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ForkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_all, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_single, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerPerfTest::test_forkserver_perf, test/test_multiprocessing_spawn.py::ErrorTest::test_errors_pickleable 2025-08-26T20:13:49.5797355Z 2025-08-26T20:13:49.5797670Z Running test_cuda_primary_ctx 1/1 ... [2025-08-26 20:13:49.575649] 2025-08-26T20:13:49.5798139Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:13:49.5799252Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:13:49.575986] 2025-08-26T20:13:52.7065655Z 2025-08-26T20:13:52.7067048Z test_cuda_primary_ctx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_primary_ctx_1.1_05073139cc2b4e9f_.log 2025-08-26T20:13:52.7068345Z Running 0 items in this shard: 2025-08-26T20:13:52.7068547Z 2025-08-26T20:13:52.7068769Z Running test_mobile_optimizer 1/1 ... [2025-08-26 20:13:52.706687] 2025-08-26T20:13:52.7069203Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:13:52.7071981Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:13:52.706995] 2025-08-26T20:13:58.2293785Z 2025-08-26T20:13:58.2295125Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_d3369cd80b0af7b2_.log 2025-08-26T20:13:58.2300519Z Running 7 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_clone_module_with_class, test/test_mobile_optimizer.py::TestOptimizer::test_generate_mobile_module_lints, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_mobilenet_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_preserve_bundled_inputs_methods, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures 2025-08-26T20:13:58.2304906Z 2025-08-26T20:13:58.2305490Z Running test_cuda_trace 1/1 ... [2025-08-26 20:13:58.229777] 2025-08-26T20:13:58.2305980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:13:58.2307093Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:13:58.230204] 2025-08-26T20:14:01.3208872Z 2025-08-26T20:14:01.3209735Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_58b16c84cda01e45_.log 2025-08-26T20:14:01.3210489Z Running 0 items in this shard: 2025-08-26T20:14:01.3210682Z 2025-08-26T20:14:01.3212668Z Running test_cuda_nvml_based_avail 1/1 ... [2025-08-26 20:14:01.321122] 2025-08-26T20:14:01.3213120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:14:01.3216429Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:14:01.321445] 2025-08-26T20:14:04.3974814Z 2025-08-26T20:14:04.3975700Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_c2f6fc9adaedaa8e_.log 2025-08-26T20:14:04.3976546Z Running 0 items in this shard: 2025-08-26T20:14:04.3976771Z 2025-08-26T20:14:04.3978736Z Running test_spectral_ops 1/1 ... [2025-08-26 20:14:04.397724] 2025-08-26T20:14:04.3979458Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:14:04.3982774Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:14:04.398061] 2025-08-26T20:14:15.5812858Z 2025-08-26T20:14:15.5813827Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_18091ee15d97bbdf_.log 2025-08-26T20:14:15.5907790Z Running 281 items in this shard: test/test_spectral_ops.py::TestFFTCPU::test_batch_istft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_istft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_definition_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_onesided_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_plan_cache_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_float32, 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test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_stft_align_to_window_only_requires_non_center_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_complex_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_window_device_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_hfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ihfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftn_cpu 2025-08-26T20:14:15.6000840Z 2025-08-26T20:14:15.6001105Z Running distributions/test_distributions 1/1 ... [2025-08-26 20:14:15.581911] 2025-08-26T20:14:15.6001603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:14:15.6002748Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:14:15.582237] 2025-08-26T20:15:03.7124975Z 2025-08-26T20:15:03.7126560Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_72e0364bc5905891_.log 2025-08-26T20:15:03.7226039Z Running 230 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_log_prob, test/distributions/test_distributions.py::TestDistributions::test_beta_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial, test/distributions/test_distributions.py::TestDistributions::test_binomial_bfloat16, test/distributions/test_distributions.py::TestDistributions::test_binomial_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_binomial_extreme_vals, test/distributions/test_distributions.py::TestDistributions::test_binomial_half, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_stable, test/distributions/test_distributions.py::TestDistributions::test_binomial_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_cauchy, test/distributions/test_distributions.py::TestDistributions::test_cdf_icdf_inverse, test/distributions/test_distributions.py::TestDistributions::test_cdf_log_prob, test/distributions/test_distributions.py::TestDistributions::test_chi2_sample, test/distributions/test_distributions.py::TestDistributions::test_chi2_shape, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, 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test/distributions/test_distributions.py::TestDistributions::test_poisson_forward_ad, test/distributions/test_distributions.py::TestDistributions::test_poisson_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_log_prob, test/distributions/test_distributions.py::TestDistributions::test_poisson_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_shape, test/distributions/test_distributions.py::TestDistributions::test_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_repr, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_rsample_requires_grad, 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test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob_with_logits, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob_with_logits, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_logits_initialization, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_probs_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_cdf, test/distributions/test_distributions.py::TestAgainstScipy::test_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestAgainstScipy::test_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_event_dim, test/distributions/test_distributions.py::TestFunctors::test_cat_transform, test/distributions/test_distributions.py::TestFunctors::test_cat_transform_non_uniform, test/distributions/test_distributions.py::TestFunctors::test_stack_transform, test/distributions/test_distributions.py::TestValidation::test_invalid, test/distributions/test_distributions.py::TestValidation::test_invalid_log_probs_arg, test/distributions/test_distributions.py::TestValidation::test_valid, test/distributions/test_distributions.py::TestValidation::test_warning_unimplemented_constraints, test/distributions/test_distributions.py::TestJit::test_cdf, test/distributions/test_distributions.py::TestJit::test_entropy, test/distributions/test_distributions.py::TestJit::test_enumerate_support, test/distributions/test_distributions.py::TestJit::test_log_prob, test/distributions/test_distributions.py::TestJit::test_mean, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_sample, test/distributions/test_distributions.py::TestJit::test_variance 2025-08-26T20:15:03.7318424Z 2025-08-26T20:15:03.7318678Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-08-26 20:15:03.713497] 2025-08-26T20:15:06.0051819Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:15:06.0053521Z import pkg_resources 2025-08-26T20:15:06.0685761Z running install 2025-08-26T20:15:06.0687856Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T20:15:06.0688969Z !! 2025-08-26T20:15:06.0689092Z 2025-08-26T20:15:06.0689352Z ******************************************************************************** 2025-08-26T20:15:06.0689736Z Please avoid running ``setup.py`` directly. 2025-08-26T20:15:06.0690212Z Instead, use pypa/build, pypa/installer or other 2025-08-26T20:15:06.0690595Z standards-based tools. 2025-08-26T20:15:06.0690835Z 2025-08-26T20:15:06.0691081Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T20:15:06.0691629Z or your builds will no longer be supported. 2025-08-26T20:15:06.0691873Z 2025-08-26T20:15:06.0692172Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T20:15:06.0692763Z ******************************************************************************** 2025-08-26T20:15:06.0693027Z 2025-08-26T20:15:06.0693161Z !! 2025-08-26T20:15:06.0693391Z self.initialize_options() 2025-08-26T20:15:06.0818799Z running build 2025-08-26T20:15:06.0819138Z running build_py 2025-08-26T20:15:06.0907929Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-26T20:15:06.0915145Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-26T20:15:06.0922809Z running build_ext 2025-08-26T20:15:06.0937058Z building 'torch_test_cpp_extension.cpp' extension 2025-08-26T20:15:06.0938900Z creating build/temp.linux-x86_64-cpython-313 2025-08-26T20:15:06.0943620Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c extension.cpp -o build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-26T20:15:07.3282467Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-08-26T20:15:07.3283488Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-08-26T20:15:07.3284452Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:9, 2025-08-26T20:15:07.3285018Z from extension.cpp:1: 2025-08-26T20:15:07.3314494Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-08-26T20:15:07.3315410Z extension.cpp:45:53: required from here 2025-08-26T20:15:07.3316985Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-08-26T20:15:07.3318453Z 2041 | class class_ : public detail::generic_type { 2025-08-26T20:15:07.3318812Z | ^~~~~~ 2025-08-26T20:15:07.3320458Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-08-26T20:15:07.3321857Z extension.cpp:45:53: required from here 2025-08-26T20:15:07.3324184Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:2139:28: warning: ‘pybind11::class_::class_<>(pybind11::handle, const char*)::’ declared with greater visibility than the type of its field ‘pybind11::class_::class_<>(pybind11::handle, const char*)::::’ [-Wattributes] 2025-08-26T20:15:07.3326281Z 2139 | with_internals([&](internals &internals) { 2025-08-26T20:15:07.3326680Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:07.3327205Z 2140 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-08-26T20:15:07.3327787Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:07.3328248Z 2141 | : internals.registered_types_cpp; 2025-08-26T20:15:07.3328648Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:07.3329077Z 2142 | instances[std::type_index(typeid(type_alias))] 2025-08-26T20:15:07.3329493Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:07.3329898Z 2143 | = instances[std::type_index(typeid(type))]; 2025-08-26T20:15:07.3330302Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:07.3330620Z 2144 | }); 2025-08-26T20:15:07.3330875Z | ~ 2025-08-26T20:15:07.3334277Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so 2025-08-26T20:15:07.9704622Z building 'torch_test_cpp_extension.maia' extension 2025-08-26T20:15:07.9708733Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-26T20:15:09.1734933Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so 2025-08-26T20:15:09.7671263Z building 'torch_test_cpp_extension.rng' extension 2025-08-26T20:15:09.7675193Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-26T20:15:11.1217411Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T20:15:11.1218821Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T20:15:11.1220129Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T20:15:11.1221758Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T20:15:11.1222932Z from rng_extension.cpp:6: 2025-08-26T20:15:11.1224762Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1478: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:11.1226203Z 1478 | #pragma unroll 2025-08-26T20:15:11.1226591Z | 2025-08-26T20:15:11.1227502Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-08-26T20:15:11.1229099Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530, 2025-08-26T20:15:11.1230788Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T20:15:11.1232208Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T20:15:11.1233599Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T20:15:11.1235191Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T20:15:11.1236469Z from rng_extension.cpp:6: 2025-08-26T20:15:11.1238363Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:11.1239739Z 59 | #pragma unroll 2025-08-26T20:15:11.1240171Z | 2025-08-26T20:15:11.1241626Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:11.1243026Z 72 | #pragma unroll 2025-08-26T20:15:11.1243444Z | 2025-08-26T20:15:11.1244880Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:11.1246152Z 87 | #pragma unroll 2025-08-26T20:15:11.1246532Z | 2025-08-26T20:15:11.1247495Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531, 2025-08-26T20:15:11.1249698Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T20:15:11.1251066Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T20:15:11.1251892Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T20:15:11.1252820Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T20:15:11.1253506Z from rng_extension.cpp:6: 2025-08-26T20:15:11.1254532Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:11.1255696Z 160 | #pragma unroll 2025-08-26T20:15:11.1256089Z | 2025-08-26T20:15:11.1256746Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.1257620Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.1258421Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.1259220Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.1259973Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.1260817Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.1261742Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.1262638Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.1263517Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.1264460Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.1265738Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.1266591Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1267149Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1268240Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.1269835Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.1271603Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.1273452Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.1275374Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.1277435Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.1283872Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.1294697Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.1300759Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.1301723Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.1302128Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.1308568Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.1315650Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.1316952Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.1317373Z | ^~~~~~~~ 2025-08-26T20:15:11.1318125Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.1319141Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.1320016Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.1320838Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.1321604Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.1322451Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.1323518Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.1324660Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.1325814Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.1326937Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.1327992Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.1328943Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.1329790Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1330337Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1331187Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.1331935Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.1332281Z | ^~~~ 2025-08-26T20:15:11.1332846Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.1333714Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.1334542Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.1335342Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.1336094Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.1336963Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.1337891Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.1338787Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.1339678Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.1340622Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.1341593Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.1342470Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1343056Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1344062Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.1345635Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.1347365Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.1349141Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.1351044Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.1353197Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.1359255Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.1369147Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.1374984Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.1375922Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.1376311Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.1382289Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.1388549Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.1389836Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.1390263Z | ^~~~~~~~ 2025-08-26T20:15:11.1390884Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.1391890Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.1392781Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.1393661Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.1394432Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.1395264Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.1396330Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.1397519Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.1398667Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.1399799Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.1400800Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.1401747Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.1402593Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1403188Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1404052Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.1404810Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.1405165Z | ^~~~ 2025-08-26T20:15:11.1405751Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.1406619Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.1407446Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.1408232Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.1408988Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.1409837Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.1410763Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.1426199Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.1427195Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.1428146Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.1429118Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.1429979Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1430547Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1431626Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.1433307Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.1435044Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.1436818Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.1438778Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.1440823Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.1447074Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.1457910Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.1463926Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.1464851Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.1465240Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.1471513Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.1478247Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.1479574Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.1479999Z | ^~~~~~~~ 2025-08-26T20:15:11.1480685Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.1481696Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.1482595Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.1483401Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.1484168Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.1485015Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.1486078Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.1487224Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.1488391Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.1489515Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.1490524Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.1491475Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.1492327Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1492886Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1493706Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.1494454Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.1494804Z | ^~~~ 2025-08-26T20:15:11.1495383Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.1496229Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.1497049Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.1497880Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.1498626Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.1499465Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.1500398Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.1501275Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.1502165Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.1503103Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.1504132Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.1504982Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1505529Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1506527Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.1508240Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.1509976Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.1511768Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.1513820Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.1515866Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.1522223Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.1532851Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.1538837Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.1539774Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.1540159Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.1546456Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.1553056Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.1554355Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.1554935Z | ^~~~~~~~ 2025-08-26T20:15:11.1555576Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.1556584Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.1557461Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.1558297Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.1559149Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.1559995Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.1561065Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.1562198Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.1563353Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.1564478Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.1565573Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.1566518Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.1567365Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1567910Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1568759Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.1569504Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.1569854Z | ^~~~ 2025-08-26T20:15:11.1570419Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.1571296Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.1572120Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.1572912Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.1573702Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.1574531Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.1575454Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.1576346Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.1577243Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.1578186Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.1579157Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.1579988Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1580543Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1581564Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.1583133Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.1584905Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.1586685Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.1588577Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.1590616Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.1597000Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.1607526Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.1613482Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.1614416Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.1614804Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.1621146Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.1627884Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.1629179Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.1629600Z | ^~~~~~~~ 2025-08-26T20:15:11.1630230Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.1631223Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.1632116Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.1632935Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.1633752Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.1634654Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.1635711Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.1636857Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.1638016Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.1639283Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.1640303Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.1641250Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.1642083Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1642639Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1643497Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.1644308Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.1644648Z | ^~~~ 2025-08-26T20:15:11.1645233Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.1646095Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.1646921Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.1647713Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.1648452Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.1649294Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.1650283Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.1651180Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.1652074Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.1653017Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.1653982Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.1654985Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1655549Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1656576Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.1658158Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.1659977Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.1661759Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.1663654Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.1665717Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.1671571Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.1681728Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.1687467Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.1688409Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.1688801Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.1694950Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.1701229Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.1702517Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.1702939Z | ^~~~~~~~ 2025-08-26T20:15:11.1703555Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.1704563Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.1705490Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.1706310Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.1707077Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.1707906Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.1708971Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.1710119Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.1711338Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.1712462Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.1713533Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.1714470Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.1715320Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1715879Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1716720Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.1717470Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.1717809Z | ^~~~ 2025-08-26T20:15:11.1718390Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.1719253Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.1720120Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.1720917Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.1721652Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.1722491Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.1723428Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.1724317Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.1725208Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.1726133Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.1727097Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.1727943Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1728499Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1729502Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.1731118Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.1732829Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.1734604Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.1736533Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.1738612Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.1744486Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.1754482Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.1760370Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.1761298Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.1761763Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.1767744Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.1774076Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.1775350Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.1775767Z | ^~~~~~~~ 2025-08-26T20:15:11.1776398Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.1777416Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.1778314Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.1779126Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.1779943Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.1780791Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.1781854Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.1782994Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.1784134Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.1785257Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.1786272Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.1787217Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.1788065Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1788620Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1789439Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.1790225Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.1790579Z | ^~~~ 2025-08-26T20:15:11.1791157Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.1792003Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.1792827Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.1793702Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.1794455Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.1795300Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.1796301Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.1797183Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.1798083Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.1799027Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.1799999Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.1800850Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1801396Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1802411Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.1803980Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.1805746Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.1807527Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.1809422Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.1811463Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.1817315Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.1827259Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.1833028Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.1833977Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.1834370Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.1840357Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.1846613Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.1847901Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.1848323Z | ^~~~~~~~ 2025-08-26T20:15:11.1848952Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.1849994Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.1850892Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.1851713Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.1852483Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.1853323Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.1854368Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.1856001Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.1857163Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.1858293Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.1859315Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.1860270Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.1861109Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1861666Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1862527Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.1863282Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.1863621Z | ^~~~ 2025-08-26T20:15:11.1864211Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.1865074Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.1865942Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.1866738Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.1867469Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.1868319Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.1869258Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.1870153Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.1871045Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.1871987Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.1872939Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.1873843Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1874403Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1875459Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.1877031Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.1878761Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.1880533Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.1882496Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.1884540Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.1890427Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.1900319Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.1905991Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.1906969Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.1907345Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.1913363Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.1919678Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.1920971Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.1921379Z | ^~~~~~~~ 2025-08-26T20:15:11.1922013Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.1923023Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.1923915Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.1924738Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.1925528Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.1926367Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.1927427Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.1928573Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.1929730Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.1930855Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.1931855Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.1932804Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.1933649Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1934265Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1935144Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.1935873Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.1936225Z | ^~~~ 2025-08-26T20:15:11.1936806Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.1937670Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.1938495Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.1939281Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.1940036Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.1940945Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.1942029Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.1942929Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.1943814Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.1944765Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.1945735Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.1946590Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.1947152Z from rng_extension.cpp:1: 2025-08-26T20:15:11.1948149Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.1949720Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.1951500Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.1953357Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.1955424Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.1957482Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.1963356Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.1973351Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.1979078Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.1980027Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.1980414Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.1986387Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.1992653Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.1993991Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.1994412Z | ^~~~~~~~ 2025-08-26T20:15:11.1995051Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.1996097Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.1996977Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.1997804Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.1998576Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.1999417Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2000477Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2001682Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2002820Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2003948Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2004964Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2005907Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2006752Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2007297Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2008139Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2008882Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2009229Z | ^~~~ 2025-08-26T20:15:11.2009808Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2010691Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2011510Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2012301Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2013050Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2013904Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2014816Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2015704Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2016596Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2017536Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2018501Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2019340Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2019930Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2020917Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2022493Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2024213Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2025984Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2027941Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2029982Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2035933Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2045812Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2051521Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2052494Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2052881Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2059113Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2065452Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2066746Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2067174Z | ^~~~~~~~ 2025-08-26T20:15:11.2067796Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2068800Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2069693Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2070565Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2071334Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2072161Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2073282Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2074434Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2075586Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2076716Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2077734Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2078669Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2079524Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2080144Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2080986Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2081732Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2082070Z | ^~~~ 2025-08-26T20:15:11.2082654Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2083522Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2084345Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2085143Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2085909Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2086784Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2087713Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2088609Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2089502Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2090493Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2091457Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2092303Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2092863Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2093856Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2095458Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2097176Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2098951Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2100854Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2102890Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2108765Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2118802Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2124528Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2125447Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2125834Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2131801Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2138073Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2139350Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2139822Z | ^~~~~~~~ 2025-08-26T20:15:11.2140454Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2141456Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2142346Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2143195Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2143961Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2144802Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2145862Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2147071Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2148225Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2149337Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2150352Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2151293Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2152138Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2152697Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2153579Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2154333Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2154870Z | ^~~~ 2025-08-26T20:15:11.2155554Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2156426Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2157233Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2158032Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2158786Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2159637Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2160567Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2161445Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2162338Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2163279Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2164241Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2165139Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2165691Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2166702Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2168277Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2170003Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2171779Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2173766Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2175810Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2182039Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2192549Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2198616Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2199555Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2199947Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2206262Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2212832Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2214121Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2214540Z | ^~~~~~~~ 2025-08-26T20:15:11.2215165Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2216203Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2217079Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2217913Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2218680Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2219534Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2220599Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2221752Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2222892Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2224018Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2225036Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2226024Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2226874Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2227416Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2228254Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2229007Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2229362Z | ^~~~ 2025-08-26T20:15:11.2229948Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2230803Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2231655Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2232480Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2233288Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2234134Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2235048Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2235949Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2236846Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2237788Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2238753Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2239584Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2240145Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2241177Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2242759Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2244480Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2246268Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2248166Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2250203Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2256719Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2267607Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2273986Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2274934Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2275320Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2281707Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2288364Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2289659Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2290082Z | ^~~~~~~~ 2025-08-26T20:15:11.2290716Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2291708Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2292664Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2293535Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2294301Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2295139Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2296203Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2297334Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2298490Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2299622Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2300634Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2301579Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2302458Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2302999Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2303831Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2304573Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2304926Z | ^~~~ 2025-08-26T20:15:11.2305497Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2306355Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2307172Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2307966Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2308713Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2309539Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2310464Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2311389Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2312276Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2313281Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2314249Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2315083Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2315641Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2316641Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2318282Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2320012Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2321793Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2323686Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2325806Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2332122Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2342791Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2348881Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2349850Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2350279Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2357038Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2363696Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2364990Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2365419Z | ^~~~~~~~ 2025-08-26T20:15:11.2366063Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2367064Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2367966Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2368794Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2369567Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2370413Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2371470Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2372680Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2373840Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2374978Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2375998Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2376952Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2377788Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2378391Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2379267Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2380014Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2380367Z | ^~~~ 2025-08-26T20:15:11.2380931Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2381792Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2382607Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2383399Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2384154Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2384990Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2385918Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2386815Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2387735Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2388678Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2389627Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2390475Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2391034Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2392027Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2393681Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2395414Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2397189Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2399134Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2401163Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2407530Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2418273Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2424315Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2425247Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2425638Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2432025Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2438803Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2440110Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2440529Z | ^~~~~~~~ 2025-08-26T20:15:11.2441141Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2442149Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2443041Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2443860Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2444627Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2445460Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2446522Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2447706Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2448862Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2449986Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2450999Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2451938Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2452790Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2453347Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2454181Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2455130Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2455463Z | ^~~~ 2025-08-26T20:15:11.2456041Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2456902Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2457846Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2458638Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2459372Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2460217Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2461142Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2462035Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2462927Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2463929Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2464901Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2465747Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2466308Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2467325Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2468903Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2470638Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2472400Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2474397Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2476448Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2482760Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2493517Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2499573Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2500507Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2500898Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2507305Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2513999Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2515292Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2515715Z | ^~~~~~~~ 2025-08-26T20:15:11.2516345Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2517343Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2518341Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2519169Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2519937Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2520784Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2521836Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2522989Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2524174Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2525326Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2526338Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2527283Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2528111Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2528666Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2529504Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2530250Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2530588Z | ^~~~ 2025-08-26T20:15:11.2531169Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2532026Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2532844Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2533665Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2534399Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2535242Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2536166Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2537067Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2537958Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2538904Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2539861Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2540708Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2541262Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2542254Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2543863Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2545584Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2547367Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2549242Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2551341Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2557894Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2568662Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2574709Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2575689Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2576077Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2582497Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2589148Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2590441Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2590873Z | ^~~~~~~~ 2025-08-26T20:15:11.2591489Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2592493Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2593438Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2594309Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2595084Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2595909Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2596974Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2598118Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2599268Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2600391Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2601403Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2602330Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2603177Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2603767Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2604605Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2605345Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2605679Z | ^~~~ 2025-08-26T20:15:11.2606258Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2607115Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2607930Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2608725Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2609522Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2610365Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2611297Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2612197Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2613089Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2614020Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2614980Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2615831Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2616389Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2617382Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2618995Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2620709Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2622483Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2624387Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2626433Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2632741Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2643558Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2649625Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2650565Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2650972Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2657538Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2664191Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2665558Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2665982Z | ^~~~~~~~ 2025-08-26T20:15:11.2666601Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2667612Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2668507Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2669331Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2670180Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2671013Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2672069Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2673306Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2674468Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2675593Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2676594Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2677547Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2678394Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2690665Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2691621Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2692363Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2692706Z | ^~~~ 2025-08-26T20:15:11.2693275Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2694127Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2695043Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2695836Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2696577Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2697414Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2698323Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2699202Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2700116Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2701083Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2702040Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2702875Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2703415Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2704427Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2706012Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2707738Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2709496Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2711417Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2713566Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2719878Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2730605Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2736658Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2737581Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2738008Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2744418Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2751029Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2752300Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2752719Z | ^~~~~~~~ 2025-08-26T20:15:11.2753395Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2754406Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2755573Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2756405Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2757176Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2758029Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2759095Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2760231Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2761512Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2762644Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2763661Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2764611Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2765457Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2766005Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2766855Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2767606Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2767963Z | ^~~~ 2025-08-26T20:15:11.2768542Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2769390Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2770255Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2771046Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2771790Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2772630Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2773547Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2774442Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2775333Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2776274Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2777238Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2778070Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2778622Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2779632Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2781258Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2782989Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2784764Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2786656Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2788790Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2795194Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2805900Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2811957Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2812941Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2813326Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2819740Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2826382Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2827672Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2828102Z | ^~~~~~~~ 2025-08-26T20:15:11.2828731Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2829720Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2830649Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2831469Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2832235Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2833130Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2834208Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2835338Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2836493Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2837624Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2838643Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2839595Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2840434Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2841038Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2841879Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2842628Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2842983Z | ^~~~ 2025-08-26T20:15:11.2843553Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2844416Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2845240Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2846036Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2846854Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2847687Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2848615Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2849507Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2850394Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2851337Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2852302Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2853136Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2853692Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2854914Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2856579Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2858314Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2860100Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2861995Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2864041Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2869888Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2879940Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2885669Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2886604Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2886990Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2892949Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2899210Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2900540Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2900947Z | ^~~~~~~~ 2025-08-26T20:15:11.2901576Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2902582Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2903475Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2904293Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2905059Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2905883Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2907020Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2908162Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2909315Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2910442Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2911441Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2912391Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2913302Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2913863Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2914705Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2915436Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2915788Z | ^~~~ 2025-08-26T20:15:11.2916406Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2917269Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2917613Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2917951Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2918257Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2918670Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2919066Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2919450Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2919846Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2920274Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2920745Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2921090Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2921217Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2921982Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2922844Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2923787Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2924766Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2925831Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2926931Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2932276Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2938275Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2939275Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2939441Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2939572Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2945779Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2947098Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2947325Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2947415Z | ^~~~~~~~ 2025-08-26T20:15:11.2947955Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2948386Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2948737Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2949104Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2949402Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2949821Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2950354Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2950854Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2951390Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2951861Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2952322Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2952727Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2953134Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2953252Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2953862Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2954015Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2954108Z | ^~~~ 2025-08-26T20:15:11.2954511Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2955162Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2955512Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2955854Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2956157Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2956587Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2956970Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2957368Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2957757Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2958188Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2958612Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2958962Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2959093Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2959870Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2960741Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2961680Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.2962621Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.2963664Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.2964762Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.2970206Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.2976284Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.2977120Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.2977292Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.2977413Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.2983584Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.2984886Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.2985111Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.2985203Z | ^~~~~~~~ 2025-08-26T20:15:11.2985687Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.2986164Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.2986533Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.2986878Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.2987172Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.2987607Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.2988127Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.2988647Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.2989175Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.2989663Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.2990107Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.2990513Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.2990844Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2990959Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2991577Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.2991718Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.2991824Z | ^~~~ 2025-08-26T20:15:11.2992211Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.2992556Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.2992915Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.2993298Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.2993614Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.2994028Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.2994465Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.2994842Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.2995220Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.2995667Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.2996069Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.2996396Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.2996537Z from rng_extension.cpp:1: 2025-08-26T20:15:11.2997352Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.2998216Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.2999165Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.3000079Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.3001142Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.3002234Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.3007592Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.3013601Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.3014497Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.3014671Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.3014788Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.3020982Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.3022273Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.3022489Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.3022588Z | ^~~~~~~~ 2025-08-26T20:15:11.3023053Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.3023468Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.3023831Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.3024173Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.3024480Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.3024902Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.3025476Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.3025976Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.3026501Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.3026988Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.3027400Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.3027846Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.3028194Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.3028323Z from rng_extension.cpp:1: 2025-08-26T20:15:11.3028924Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.3029061Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.3029174Z | ^~~~ 2025-08-26T20:15:11.3029563Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.3029923Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.3030266Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.3030687Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.3031004Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.3031416Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.3031850Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.3032235Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.3032630Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.3033127Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.3033558Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.3033875Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.3033992Z from rng_extension.cpp:1: 2025-08-26T20:15:11.3034794Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.3035659Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.3036603Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.3037574Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.3038633Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.3039718Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.3044632Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.3050264Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.3051080Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.3051248Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.3051368Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.3058956Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.3060470Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.3060722Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.3060828Z | ^~~~~~~~ 2025-08-26T20:15:11.3061295Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.3061715Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.3062083Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.3062426Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.3062733Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.3063160Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.3063697Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.3064203Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.3064769Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.3065252Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.3065665Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.3066087Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.3066403Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.3066529Z from rng_extension.cpp:1: 2025-08-26T20:15:11.3067130Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.3067269Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.3067377Z | ^~~~ 2025-08-26T20:15:11.3067762Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:11.3068121Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:11.3068466Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:11.3068834Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:11.3069133Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:11.3069544Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:11.3069943Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:11.3070323Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:11.3070718Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:11.3071147Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:11.3071636Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:11.3071952Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.3072065Z from rng_extension.cpp:1: 2025-08-26T20:15:11.3072849Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:11.3073791Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:11.3074737Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:11.3075662Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:11.3076762Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:11.3077853Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:11.3083207Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:11.3089267Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:11.3090124Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:11.3090279Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:11.3090393Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:11.3096565Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:11.3097854Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:11.3098062Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:11.3098162Z | ^~~~~~~~ 2025-08-26T20:15:11.3098629Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:11.3099059Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:11.3099412Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:11.3099804Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:11.3100099Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:11.3100516Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:11.3101050Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:11.3101551Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:11.3102089Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:11.3102616Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:11.3103047Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:11.3103453Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:11.3103770Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:11.3103897Z from rng_extension.cpp:1: 2025-08-26T20:15:11.3104491Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:11.3104643Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:11.3104735Z | ^~~~ 2025-08-26T20:15:11.3107929Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so 2025-08-26T20:15:11.7763957Z running install_lib 2025-08-26T20:15:11.7889985Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-08-26T20:15:11.7892944Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:11.7894340Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:11.7896065Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:11.7969952Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:11.8044033Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:11.8125749Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-313.pyc 2025-08-26T20:15:11.8128225Z running install_egg_info 2025-08-26T20:15:11.8312805Z running egg_info 2025-08-26T20:15:11.8386570Z creating torch_test_cpp_extension.egg-info 2025-08-26T20:15:11.8387547Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-26T20:15:11.8390806Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-26T20:15:11.8392346Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-26T20:15:11.8394459Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-26T20:15:11.8395887Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T20:15:11.8476831Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T20:15:11.8483912Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T20:15:11.8485583Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info 2025-08-26T20:15:11.8492388Z running install_scripts 2025-08-26T20:15:13.9961167Z running install 2025-08-26T20:15:13.9962612Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T20:15:13.9964021Z !! 2025-08-26T20:15:13.9964225Z 2025-08-26T20:15:13.9964456Z ******************************************************************************** 2025-08-26T20:15:13.9965115Z Please avoid running ``setup.py`` directly. 2025-08-26T20:15:13.9965810Z Instead, use pypa/build, pypa/installer or other 2025-08-26T20:15:13.9966501Z standards-based tools. 2025-08-26T20:15:13.9966849Z 2025-08-26T20:15:13.9967285Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T20:15:13.9968215Z or your builds will no longer be supported. 2025-08-26T20:15:13.9968700Z 2025-08-26T20:15:13.9969289Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T20:15:13.9970326Z ******************************************************************************** 2025-08-26T20:15:13.9970817Z 2025-08-26T20:15:13.9970967Z !! 2025-08-26T20:15:13.9971376Z self.initialize_options() 2025-08-26T20:15:14.0098815Z running build 2025-08-26T20:15:14.0099103Z running build_ext 2025-08-26T20:15:14.0427916Z building 'no_python_abi_suffix_test' extension 2025-08-26T20:15:14.0430994Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313 2025-08-26T20:15:14.1609244Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -std=c++17 2025-08-26T20:15:14.1655878Z creating build/lib.linux-x86_64-cpython-313 2025-08-26T20:15:14.1661593Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so 2025-08-26T20:15:14.2746715Z running install_lib 2025-08-26T20:15:14.2837153Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-08-26T20:15:14.2841274Z copying build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-08-26T20:15:14.2847085Z running install_egg_info 2025-08-26T20:15:14.3033956Z running egg_info 2025-08-26T20:15:14.3106229Z creating no_python_abi_suffix_test.egg-info 2025-08-26T20:15:14.3107283Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2025-08-26T20:15:14.3111993Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2025-08-26T20:15:14.3114450Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2025-08-26T20:15:14.3116060Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T20:15:14.3193899Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T20:15:14.3201606Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T20:15:14.3203206Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/no_python_abi_suffix_test-0.0.0-py3.13.egg-info 2025-08-26T20:15:14.3209587Z running install_scripts 2025-08-26T20:15:14.7126472Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:15:14.7129135Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:15:14.712663] 2025-08-26T20:15:17.8856216Z 2025-08-26T20:15:17.8857177Z test_cpp_extensions_aot_no_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_570fae26c645eb9c_.log 2025-08-26T20:15:17.8865840Z Running 21 items in this shard: test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_no_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_no_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_no_ninja.py::TestTorchLibrary::test_torch_library 2025-08-26T20:15:17.8873690Z 2025-08-26T20:15:17.8873920Z Running test_autoload_disable 1/1 ... [2025-08-26 20:15:17.885925] 2025-08-26T20:15:20.1795262Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:15:20.1798180Z import pkg_resources 2025-08-26T20:15:20.2435572Z running install 2025-08-26T20:15:20.2437718Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T20:15:20.2439463Z !! 2025-08-26T20:15:20.2439688Z 2025-08-26T20:15:20.2439889Z ******************************************************************************** 2025-08-26T20:15:20.2440638Z Please avoid running ``setup.py`` directly. 2025-08-26T20:15:20.2441355Z Instead, use pypa/build, pypa/installer or other 2025-08-26T20:15:20.2442035Z standards-based tools. 2025-08-26T20:15:20.2442390Z 2025-08-26T20:15:20.2442820Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T20:15:20.2443746Z or your builds will no longer be supported. 2025-08-26T20:15:20.2444224Z 2025-08-26T20:15:20.2444803Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T20:15:20.2445801Z ******************************************************************************** 2025-08-26T20:15:20.2446280Z 2025-08-26T20:15:20.2446431Z !! 2025-08-26T20:15:20.2446837Z self.initialize_options() 2025-08-26T20:15:20.2572370Z running build 2025-08-26T20:15:20.2572798Z running build_py 2025-08-26T20:15:20.2654473Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-26T20:15:20.2657339Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-26T20:15:20.2661640Z running build_ext 2025-08-26T20:15:20.2676643Z building 'torch_test_cpp_extension.cpp' extension 2025-08-26T20:15:20.2678050Z creating build/temp.linux-x86_64-cpython-313 2025-08-26T20:15:20.2683990Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c extension.cpp -o build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-26T20:15:21.3724058Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-08-26T20:15:21.3725741Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-08-26T20:15:21.3727245Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:9, 2025-08-26T20:15:21.3728184Z from extension.cpp:1: 2025-08-26T20:15:21.3729903Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-08-26T20:15:21.3730761Z extension.cpp:45:53: required from here 2025-08-26T20:15:21.3732250Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-08-26T20:15:21.3735612Z 2041 | class class_ : public detail::generic_type { 2025-08-26T20:15:21.3735981Z | ^~~~~~ 2025-08-26T20:15:21.3737688Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-08-26T20:15:21.3739109Z extension.cpp:45:53: required from here 2025-08-26T20:15:21.3741440Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:2139:28: warning: ‘pybind11::class_::class_<>(pybind11::handle, const char*)::’ declared with greater visibility than the type of its field ‘pybind11::class_::class_<>(pybind11::handle, const char*)::::’ [-Wattributes] 2025-08-26T20:15:21.3743579Z 2139 | with_internals([&](internals &internals) { 2025-08-26T20:15:21.3743971Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:21.3744495Z 2140 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-08-26T20:15:21.3745076Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:21.3745538Z 2141 | : internals.registered_types_cpp; 2025-08-26T20:15:21.3745940Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:21.3746371Z 2142 | instances[std::type_index(typeid(type_alias))] 2025-08-26T20:15:21.3746779Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:21.3747183Z 2143 | = instances[std::type_index(typeid(type))]; 2025-08-26T20:15:21.3747580Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:21.3747916Z 2144 | }); 2025-08-26T20:15:21.3748170Z | ~ 2025-08-26T20:15:21.3751958Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so 2025-08-26T20:15:22.0374327Z building 'torch_test_cpp_extension.maia' extension 2025-08-26T20:15:22.0377862Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-26T20:15:23.0990941Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so 2025-08-26T20:15:23.7045858Z building 'torch_test_cpp_extension.rng' extension 2025-08-26T20:15:23.7049339Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-26T20:15:24.9264862Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T20:15:24.9266444Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T20:15:24.9267941Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T20:15:24.9269583Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T20:15:24.9270839Z from rng_extension.cpp:6: 2025-08-26T20:15:24.9272786Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1478: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:24.9274379Z 1478 | #pragma unroll 2025-08-26T20:15:24.9274849Z | 2025-08-26T20:15:24.9275861Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-08-26T20:15:24.9277478Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530, 2025-08-26T20:15:24.9279731Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T20:15:24.9281240Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T20:15:24.9282692Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T20:15:24.9284375Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T20:15:24.9285587Z from rng_extension.cpp:6: 2025-08-26T20:15:24.9287428Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:24.9288579Z 59 | #pragma unroll 2025-08-26T20:15:24.9288835Z | 2025-08-26T20:15:24.9289667Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:24.9290448Z 72 | #pragma unroll 2025-08-26T20:15:24.9290701Z | 2025-08-26T20:15:24.9291526Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:24.9292311Z 87 | #pragma unroll 2025-08-26T20:15:24.9292547Z | 2025-08-26T20:15:24.9293091Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531, 2025-08-26T20:15:24.9294137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T20:15:24.9294960Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T20:15:24.9295764Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T20:15:24.9297136Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T20:15:24.9297817Z from rng_extension.cpp:6: 2025-08-26T20:15:24.9298782Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:24.9299590Z 160 | #pragma unroll 2025-08-26T20:15:24.9299840Z | 2025-08-26T20:15:24.9300418Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:24.9301347Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:24.9302168Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:24.9302958Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:24.9303704Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:24.9304532Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:24.9305460Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:24.9306354Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:24.9307251Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:24.9308193Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:24.9309148Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:24.9310035Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9310595Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9311664Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:24.9313333Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:24.9315082Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:24.9316868Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:24.9318757Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:24.9320811Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:24.9327215Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:24.9337995Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:24.9344033Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:24.9344971Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:24.9345363Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:24.9351734Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:24.9358785Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:24.9360086Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:24.9360514Z | ^~~~~~~~ 2025-08-26T20:15:24.9361230Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:24.9362293Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:24.9363177Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:24.9364009Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:24.9364786Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:24.9365635Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:24.9366705Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:24.9367862Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:24.9369006Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:24.9370137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:24.9371197Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:24.9372153Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:24.9373007Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9373556Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9374404Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:24.9375155Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:24.9375507Z | ^~~~ 2025-08-26T20:15:24.9376086Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:24.9376940Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:24.9377758Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:24.9378552Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:24.9379302Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:24.9380150Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:24.9381107Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:24.9381999Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:24.9382893Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:24.9383835Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:24.9384802Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:24.9385648Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9386228Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9387276Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:24.9388854Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:24.9390598Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:24.9392648Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:24.9394654Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:24.9396702Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:24.9402607Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:24.9412517Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:24.9418230Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:24.9419229Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:24.9419619Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:24.9425550Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:24.9431974Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:24.9433326Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:24.9433759Z | ^~~~~~~~ 2025-08-26T20:15:24.9434385Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:24.9435403Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:24.9436304Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:24.9437132Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:24.9437894Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:24.9438731Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:24.9439778Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:24.9440957Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:24.9442105Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:24.9443229Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:24.9444245Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:24.9445178Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:24.9446025Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9446613Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9447479Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:24.9448226Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:24.9448562Z | ^~~~ 2025-08-26T20:15:24.9449138Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:24.9450004Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:24.9450824Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:24.9451616Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:24.9452349Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:24.9453201Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:24.9454126Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:24.9455223Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:24.9456192Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:24.9457139Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:24.9458093Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:24.9458949Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9459525Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9460551Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:24.9462128Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:24.9463863Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:24.9465626Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:24.9467577Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:24.9469617Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:24.9475934Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:24.9486547Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:24.9492521Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:24.9493461Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:24.9493839Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:24.9500130Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:24.9506710Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:24.9508080Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:24.9508504Z | ^~~~~~~~ 2025-08-26T20:15:24.9509127Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:24.9510137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:24.9511039Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:24.9511865Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:24.9512637Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:24.9513518Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:24.9514601Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:24.9515752Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:24.9516939Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:24.9518068Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:24.9519068Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:24.9520013Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:24.9520865Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9521418Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9522253Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:24.9522981Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:24.9523335Z | ^~~~ 2025-08-26T20:15:24.9523911Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:24.9524769Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:24.9525587Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:24.9526408Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:24.9527159Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:24.9528001Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:24.9528929Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:24.9529824Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:24.9530706Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:24.9531653Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:24.9532680Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:24.9533533Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9534089Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9535089Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:24.9536646Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:24.9538370Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:24.9540150Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:24.9542038Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:24.9544107Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:24.9550332Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:24.9561188Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:24.9567258Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:24.9568201Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:24.9568577Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:24.9574879Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:24.9581440Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:24.9582729Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:24.9583137Z | ^~~~~~~~ 2025-08-26T20:15:24.9583770Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:24.9584780Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:24.9585670Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:24.9586495Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:24.9587293Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:24.9588135Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:24.9589194Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:24.9590341Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:24.9591492Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:24.9592634Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:24.9593772Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:24.9594721Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:24.9595569Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9596132Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9596957Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:24.9597703Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:24.9598051Z | ^~~~ 2025-08-26T20:15:24.9598627Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:24.9599496Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:24.9600306Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:24.9601102Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:24.9601852Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:24.9602736Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:24.9603671Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:24.9604551Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:24.9605446Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:24.9606391Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:24.9607356Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:24.9608207Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9608820Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9609799Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:24.9611426Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:24.9613228Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:24.9615004Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:24.9616906Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:24.9618952Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:24.9625235Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:24.9635860Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:24.9641835Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:24.9642772Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:24.9643166Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:24.9649485Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:24.9656268Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:24.9657566Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:24.9657996Z | ^~~~~~~~ 2025-08-26T20:15:24.9658633Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:24.9659645Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:24.9660538Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:24.9661364Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:24.9662129Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:24.9663035Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:24.9664099Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:24.9665244Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:24.9666380Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:24.9667510Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:24.9668522Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:24.9669471Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:24.9670320Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9670863Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9671703Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:24.9672446Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:24.9672843Z | ^~~~ 2025-08-26T20:15:24.9673483Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:24.9674338Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:24.9675165Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:24.9675972Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:24.9676727Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:24.9677593Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:24.9678554Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:24.9679487Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:24.9680380Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:24.9681326Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:24.9682293Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:24.9683139Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9683680Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9684682Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:24.9686266Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:24.9688038Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:24.9689814Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:24.9691702Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:24.9693750Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:24.9699609Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:24.9709568Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:24.9715368Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:24.9716303Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:24.9716700Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:24.9722692Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:24.9728961Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:24.9730255Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:24.9730676Z | ^~~~~~~~ 2025-08-26T20:15:24.9731291Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:24.9732305Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:24.9733233Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:24.9734051Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:24.9734813Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:24.9735655Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:24.9736701Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:24.9737842Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:24.9739057Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:24.9740189Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:24.9741202Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:24.9742137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:24.9742987Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9743544Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9744376Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:24.9745121Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:24.9745469Z | ^~~~ 2025-08-26T20:15:24.9746050Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:24.9746918Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:24.9747785Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:24.9748577Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:24.9761979Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:24.9762867Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:24.9763830Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:24.9764722Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:24.9765614Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:24.9766564Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:24.9767533Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:24.9768385Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9768930Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9770060Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:24.9771791Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:24.9773529Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:24.9775303Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:24.9777196Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:24.9779361Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:24.9785240Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:24.9795313Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:24.9801012Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:24.9801965Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:24.9802391Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:24.9808383Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:24.9814680Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:24.9815967Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:24.9816388Z | ^~~~~~~~ 2025-08-26T20:15:24.9817016Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:24.9818013Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:24.9818907Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:24.9819724Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:24.9820487Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:24.9821355Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:24.9822405Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:24.9823554Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:24.9824709Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:24.9825832Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:24.9826843Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:24.9827788Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:24.9828620Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9829175Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9830006Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:24.9830784Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:24.9831121Z | ^~~~ 2025-08-26T20:15:24.9831698Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:24.9832562Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:24.9833460Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:24.9834258Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:24.9834997Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:24.9835839Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:24.9836881Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:24.9837781Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:24.9838681Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:24.9839634Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:24.9840586Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:24.9841438Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9841994Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9843003Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:24.9844579Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:24.9846343Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:24.9848281Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:24.9850176Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:24.9852239Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:24.9858295Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:24.9868473Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:24.9874281Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:24.9875225Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:24.9875611Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:24.9881587Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:24.9887865Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:24.9889157Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:24.9889726Z | ^~~~~~~~ 2025-08-26T20:15:24.9890747Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:24.9891819Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:24.9892713Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:24.9893539Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:24.9894295Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:24.9895137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:24.9896207Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:24.9897351Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:24.9898565Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:24.9899678Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:24.9900688Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:24.9901634Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:24.9902480Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9903036Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9903897Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:24.9904635Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:24.9904982Z | ^~~~ 2025-08-26T20:15:24.9905563Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:24.9906424Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:24.9907305Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:24.9908107Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:24.9908861Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:24.9909704Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:24.9910643Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:24.9911543Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:24.9912423Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:24.9913446Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:24.9914415Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:24.9915265Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9915825Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9916865Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:24.9918438Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:24.9920175Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:24.9921959Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:24.9923883Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:24.9925962Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:24.9931968Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:24.9942087Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:24.9947786Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:24.9948769Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:24.9949161Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:24.9955406Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:24.9961741Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:24.9963038Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:24.9963456Z | ^~~~~~~~ 2025-08-26T20:15:24.9964082Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:24.9965103Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:24.9965982Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:24.9966803Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:24.9967615Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:24.9968458Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:24.9969519Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:24.9970651Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:24.9971810Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:24.9972933Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:24.9973946Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:24.9974889Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:24.9975735Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9976282Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9977120Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:24.9977911Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:24.9978261Z | ^~~~ 2025-08-26T20:15:24.9978825Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:24.9979690Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:24.9980516Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:24.9981322Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:24.9982072Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:24.9982952Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:24.9983905Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:24.9984802Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:24.9985696Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:24.9986644Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:24.9987611Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:24.9988443Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:24.9989005Z from rng_extension.cpp:1: 2025-08-26T20:15:24.9990005Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:24.9991578Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:24.9993427Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:24.9995223Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:24.9997132Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:24.9999176Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0005049Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0015004Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0020732Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0021684Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0022074Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0028059Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0034387Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0035671Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0036092Z | ^~~~~~~~ 2025-08-26T20:15:25.0036725Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0037779Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0038659Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0039484Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0040253Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0041096Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0042159Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0043362Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0044505Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0045635Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0046658Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0047614Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0048466Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0049010Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0049849Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0050597Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0050946Z | ^~~~ 2025-08-26T20:15:25.0051524Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0052405Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0053226Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0054018Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0054920Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0055780Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0056699Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0057600Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0058502Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0059448Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0060417Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0061248Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0061869Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0062878Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0064451Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0066184Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0067964Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0069962Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0072050Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0078015Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0087894Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0093564Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0094581Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0094969Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0100897Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0107234Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0108526Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0108943Z | ^~~~~~~~ 2025-08-26T20:15:25.0109562Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0110573Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0111462Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0112286Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0113053Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0113934Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0114998Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0116191Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0117346Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0118473Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0119488Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0120421Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0121270Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0121863Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0122734Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0123485Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0123819Z | ^~~~ 2025-08-26T20:15:25.0124396Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0125261Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0126079Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0126878Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0127617Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0128468Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0129395Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0130287Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0131216Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0132149Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0133113Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0133966Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0134529Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0135534Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0137103Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0138819Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0140594Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0142531Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0144578Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0150468Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0160709Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0166416Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0167350Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0167722Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0173667Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0179998Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0181270Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0181731Z | ^~~~~~~~ 2025-08-26T20:15:25.0182404Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0183420Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0184315Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0185127Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0185902Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0186751Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0187820Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0188979Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0190130Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0191288Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0192304Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0193310Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0194164Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0194729Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0195560Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0196310Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0196659Z | ^~~~ 2025-08-26T20:15:25.0197238Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0198107Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0198911Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0199703Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0200454Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0201353Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0202282Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0203161Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0207281Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0208283Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0209253Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0210169Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0210758Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0211855Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0213431Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0215196Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0216973Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0218880Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0220922Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0227111Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0237843Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0244058Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0244996Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0245383Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0251661Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0258579Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0259889Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0260311Z | ^~~~~~~~ 2025-08-26T20:15:25.0260949Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0261941Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0262845Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0263675Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0264442Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0265290Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0266457Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0267610Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0268826Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0269954Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0270968Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0272009Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0272843Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0273465Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0274314Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0275066Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0275418Z | ^~~~ 2025-08-26T20:15:25.0276002Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0276870Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0277695Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0278505Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0279261Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0280090Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0281025Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0281926Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0282829Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0283775Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0284753Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0285591Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0286157Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0287157Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0288738Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0290465Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0292309Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0294205Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0296297Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0302638Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0313446Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0319488Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0320425Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0320813Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0327268Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0333933Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0335223Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0335644Z | ^~~~~~~~ 2025-08-26T20:15:25.0336283Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0337275Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0338167Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0339000Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0339765Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0340609Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0341663Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0342810Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0343959Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0345086Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0346105Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0347053Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0347884Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0348446Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0349276Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0350027Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0350364Z | ^~~~ 2025-08-26T20:15:25.0350948Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0351858Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0352676Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0353655Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0354442Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0355417Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0356349Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0357356Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0358293Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0359236Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0360187Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0361037Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0361594Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0362626Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0364344Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0366082Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0367859Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0369733Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0371782Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0378086Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0388937Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0395068Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0396007Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0396401Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0402786Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0409407Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0410701Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0411122Z | ^~~~~~~~ 2025-08-26T20:15:25.0411748Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0412808Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0413706Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0414533Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0415350Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0416176Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0417243Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0418449Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0419609Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0420734Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0421750Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0422687Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0423536Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0424098Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0424937Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0425688Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0426029Z | ^~~~ 2025-08-26T20:15:25.0426611Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0427479Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0428311Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0429118Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0429859Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0430717Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0431653Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0432559Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0433516Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0434451Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0435423Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0436277Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0436889Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0437887Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0439456Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0441211Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0442989Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0444944Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0446979Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0453283Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0464163Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0470274Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0471208Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0471582Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0478116Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0484805Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0486106Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0486532Z | ^~~~~~~~ 2025-08-26T20:15:25.0487149Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0488161Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0489060Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0489879Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0490649Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0491484Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0492545Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0493694Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0494849Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0495977Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0496977Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0497967Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0498818Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0499374Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0500207Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0500938Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0501329Z | ^~~~ 2025-08-26T20:15:25.0501907Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0502764Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0503614Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0504424Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0505171Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0506011Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0506941Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0507835Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0508729Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0509661Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0510626Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0511469Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0512025Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0513023Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0514653Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0516386Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0518169Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0520085Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0522120Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0528505Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0539216Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0545265Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0546200Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0546577Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0552962Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0559851Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0561143Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0561619Z | ^~~~~~~~ 2025-08-26T20:15:25.0562251Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0563259Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0564229Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0565057Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0565808Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0566663Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0567736Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0568888Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0570044Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0571183Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0572186Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0573135Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0573990Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0574552Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0575391Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0576122Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0576482Z | ^~~~ 2025-08-26T20:15:25.0577075Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0577944Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0578766Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0579546Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0580310Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0581153Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0582086Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0583027Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0583911Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0584860Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0585826Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0586704Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0587266Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0588243Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0589874Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0591603Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0593464Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0595362Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0597401Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0603732Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0614434Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0620514Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0621515Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0621906Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0628281Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0634968Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0636263Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0636675Z | ^~~~~~~~ 2025-08-26T20:15:25.0637311Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0638314Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0639208Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0640015Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0640787Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0641631Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0642692Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0643891Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0645049Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0646160Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0647211Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0648160Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0649015Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0649602Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0650448Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0651190Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0651538Z | ^~~~ 2025-08-26T20:15:25.0652122Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0652990Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0653793Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0654726Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0655484Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0656337Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0657264Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0658142Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0659037Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0659974Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0660932Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0661783Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0662340Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0663330Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0664902Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0666632Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0668402Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0670384Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0672423Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0678879Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0689610Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0695670Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0696590Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0696976Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0703395Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0710144Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0711423Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0711852Z | ^~~~~~~~ 2025-08-26T20:15:25.0712482Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0713541Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0714438Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0715247Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0716023Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0716879Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0717948Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0719102Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0720245Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0721380Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0722405Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0723365Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0724219Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0724779Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0725606Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0726355Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0726710Z | ^~~~ 2025-08-26T20:15:25.0727294Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0728139Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0729009Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0729801Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0730544Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0731380Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0732340Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0733219Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0734114Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0735130Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0736092Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0736938Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0737482Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0738476Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0740049Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0741786Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0743561Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0745453Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0747492Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0753875Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0764889Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0770983Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0771925Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0772313Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0778697Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0785314Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0786610Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0787026Z | ^~~~~~~~ 2025-08-26T20:15:25.0787654Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0788658Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0789602Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0790425Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0791189Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0792033Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0793125Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0794329Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0795534Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0796664Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0797678Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0798626Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0799479Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0800019Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0800849Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0801596Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0801946Z | ^~~~ 2025-08-26T20:15:25.0802525Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0803372Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0804193Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0804994Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0805740Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0806580Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0807495Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0808393Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0809289Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0810235Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0811201Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0812034Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0812592Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0813586Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0815213Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0816941Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0818786Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0820683Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0822789Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0829083Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0839833Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0845883Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0846883Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0847275Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0853723Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0860723Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0862027Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0862456Z | ^~~~~~~~ 2025-08-26T20:15:25.0863093Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0864105Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0864982Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0866005Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0866778Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0867627Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0868700Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0869837Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0870995Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0872127Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0873204Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0874153Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0875004Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0875646Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0876487Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0877226Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0877576Z | ^~~~ 2025-08-26T20:15:25.0878139Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0879054Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0879875Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0880669Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0881510Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0882344Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0883272Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0884167Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0885062Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0886003Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0886977Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0887818Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0888381Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0889393Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0890971Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0892698Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0894474Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0896372Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0898408Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0904310Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0914346Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0920082Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0921024Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0921418Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0927476Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0933746Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0935040Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0935516Z | ^~~~~~~~ 2025-08-26T20:15:25.0936129Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0937227Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0938283Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0939149Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0939917Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0940742Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0941866Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0943009Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0944165Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0945287Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0946287Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0947232Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0948081Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0948641Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0949484Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0950211Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0950558Z | ^~~~ 2025-08-26T20:15:25.0951134Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0951995Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0952340Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0952672Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0952981Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0953473Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0953859Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0954240Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0954815Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0955246Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0955667Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0956069Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0956200Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0956987Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0957896Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0958853Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0959878Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0960934Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0962037Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.0967374Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.0973372Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.0974234Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.0974390Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.0974548Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.0980710Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.0982026Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.0982244Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.0982334Z | ^~~~~~~~ 2025-08-26T20:15:25.0982808Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.0983242Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.0983594Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.0983955Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.0984256Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.0984691Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.0985211Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.0985713Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.0986254Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.0986725Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.0987185Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.0987593Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.0987926Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0988042Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0988669Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.0988822Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.0988918Z | ^~~~ 2025-08-26T20:15:25.0989325Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.0989726Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.0990089Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.0990411Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.0990711Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.0991148Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.0991534Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.0991932Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.0992317Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.0992770Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.0993241Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.0993559Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.0993694Z from rng_extension.cpp:1: 2025-08-26T20:15:25.0994465Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.0995342Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.0996285Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.0997222Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.0998276Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.0999383Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.1004811Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.1010833Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.1011658Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.1011816Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.1011949Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.1018090Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.1019420Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.1019640Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.1019727Z | ^~~~~~~~ 2025-08-26T20:15:25.1020208Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.1020672Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.1031574Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.1031957Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.1032270Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.1032703Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.1033332Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.1033835Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.1034374Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.1034863Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.1035278Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.1035701Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.1036015Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.1036146Z from rng_extension.cpp:1: 2025-08-26T20:15:25.1036844Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.1036993Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.1037107Z | ^~~~ 2025-08-26T20:15:25.1037500Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.1037879Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.1038225Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.1038551Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.1038868Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.1039282Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.1039804Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.1040188Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.1040588Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.1041017Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.1041477Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.1041795Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.1041941Z from rng_extension.cpp:1: 2025-08-26T20:15:25.1042790Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.1043664Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.1044615Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.1045545Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.1046615Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.1047714Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.1053053Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.1059324Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.1060282Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.1060444Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.1060560Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.1066719Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.1067998Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.1068216Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.1068316Z | ^~~~~~~~ 2025-08-26T20:15:25.1068784Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.1069211Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.1069560Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.1069909Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.1070216Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.1070635Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.1071204Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.1071706Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.1072245Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.1072757Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.1073243Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.1073648Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.1074030Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.1074160Z from rng_extension.cpp:1: 2025-08-26T20:15:25.1074766Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.1074915Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.1075009Z | ^~~~ 2025-08-26T20:15:25.1075398Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.1075756Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.1076099Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.1076434Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.1076740Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.1077165Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.1077550Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.1077933Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.1078325Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.1078754Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.1079177Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.1079493Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.1079620Z from rng_extension.cpp:1: 2025-08-26T20:15:25.1080378Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.1081260Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.1082191Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.1083133Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.1084219Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.1085349Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.1090286Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.1099184Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.1100111Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.1100276Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.1100406Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.1106214Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.1107541Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.1107826Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.1107932Z | ^~~~~~~~ 2025-08-26T20:15:25.1108404Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.1108836Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.1109192Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.1109553Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.1109849Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.1110273Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.1110812Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.1111316Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.1111854Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.1112329Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.1112758Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.1113224Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.1113549Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.1113683Z from rng_extension.cpp:1: 2025-08-26T20:15:25.1114290Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.1114448Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.1114544Z | ^~~~ 2025-08-26T20:15:25.1114956Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:25.1115301Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:25.1115648Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:25.1116031Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:25.1116332Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:25.1116763Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:25.1117146Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:25.1117573Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:25.1117952Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:25.1118384Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:25.1118859Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:25.1119176Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.1119307Z from rng_extension.cpp:1: 2025-08-26T20:15:25.1120079Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:25.1120965Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:25.1121894Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:25.1122843Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:25.1123890Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:25.1124992Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:25.1130817Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:25.1136989Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:25.1137849Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:25.1138011Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:25.1138142Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:25.1144278Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:25.1145567Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:25.1145789Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:25.1145877Z | ^~~~~~~~ 2025-08-26T20:15:25.1146350Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:25.1146786Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:25.1147135Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:25.1147535Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:25.1147830Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:25.1148534Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:25.1149225Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:25.1149792Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:25.1150316Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:25.1150841Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:25.1151269Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:25.1151676Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:25.1152005Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:25.1152119Z from rng_extension.cpp:1: 2025-08-26T20:15:25.1152747Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:25.1152884Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:25.1152978Z | ^~~~ 2025-08-26T20:15:25.1156364Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so 2025-08-26T20:15:25.5622161Z running install_lib 2025-08-26T20:15:25.5749409Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:25.5829886Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:25.5912385Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:25.6000716Z running install_egg_info 2025-08-26T20:15:25.6184268Z running egg_info 2025-08-26T20:15:25.6259069Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-26T20:15:25.6262732Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-26T20:15:25.6275610Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-26T20:15:25.6287757Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-26T20:15:25.6376322Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T20:15:25.6385356Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T20:15:25.6397246Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info' (and everything under it) 2025-08-26T20:15:25.6399265Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info 2025-08-26T20:15:25.6405456Z running install_scripts 2025-08-26T20:15:28.6250312Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:15:28.6251895Z import pkg_resources 2025-08-26T20:15:28.6545032Z 2025-08-26T20:15:28.6545352Z Running tests... 2025-08-26T20:15:28.6545680Z ---------------------------------------------------------------------- 2025-08-26T20:15:28.6676875Z . 2025-08-26T20:15:28.6677399Z ---------------------------------------------------------------------- 2025-08-26T20:15:28.6677794Z Ran 1 test in 0.013s 2025-08-26T20:15:28.6677952Z 2025-08-26T20:15:28.6678051Z OK 2025-08-26T20:15:28.6678161Z 2025-08-26T20:15:28.6678283Z Generating XML reports... 2025-08-26T20:15:29.3379256Z Running test_autoload_enable 1/1 ... [2025-08-26 20:15:29.337398] 2025-08-26T20:15:31.6399459Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:15:31.6402298Z import pkg_resources 2025-08-26T20:15:31.7039525Z running install 2025-08-26T20:15:31.7041148Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T20:15:31.7041971Z !! 2025-08-26T20:15:31.7042098Z 2025-08-26T20:15:31.7042221Z ******************************************************************************** 2025-08-26T20:15:31.7042608Z Please avoid running ``setup.py`` directly. 2025-08-26T20:15:31.7043017Z Instead, use pypa/build, pypa/installer or other 2025-08-26T20:15:31.7043381Z standards-based tools. 2025-08-26T20:15:31.7043584Z 2025-08-26T20:15:31.7043812Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T20:15:31.7044313Z or your builds will no longer be supported. 2025-08-26T20:15:31.7044558Z 2025-08-26T20:15:31.7044874Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T20:15:31.7045409Z ******************************************************************************** 2025-08-26T20:15:31.7045652Z 2025-08-26T20:15:31.7045737Z !! 2025-08-26T20:15:31.7045962Z self.initialize_options() 2025-08-26T20:15:31.7173281Z running build 2025-08-26T20:15:31.7173548Z running build_py 2025-08-26T20:15:31.7256425Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-26T20:15:31.7258521Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-26T20:15:31.7262049Z running build_ext 2025-08-26T20:15:31.7276619Z building 'torch_test_cpp_extension.cpp' extension 2025-08-26T20:15:31.7278473Z creating build/temp.linux-x86_64-cpython-313 2025-08-26T20:15:31.7283178Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c extension.cpp -o build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-26T20:15:32.7704185Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-08-26T20:15:32.7705198Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-08-26T20:15:32.7706642Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:9, 2025-08-26T20:15:32.7707193Z from extension.cpp:1: 2025-08-26T20:15:32.7708531Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-08-26T20:15:32.7709388Z extension.cpp:45:53: required from here 2025-08-26T20:15:32.7711031Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-08-26T20:15:32.7712629Z 2041 | class class_ : public detail::generic_type { 2025-08-26T20:15:32.7713335Z | ^~~~~~ 2025-08-26T20:15:32.7715438Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-08-26T20:15:32.7716848Z extension.cpp:45:53: required from here 2025-08-26T20:15:32.7719220Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:2139:28: warning: ‘pybind11::class_::class_<>(pybind11::handle, const char*)::’ declared with greater visibility than the type of its field ‘pybind11::class_::class_<>(pybind11::handle, const char*)::::’ [-Wattributes] 2025-08-26T20:15:32.7721277Z 2139 | with_internals([&](internals &internals) { 2025-08-26T20:15:32.7721711Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:32.7722301Z 2140 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-08-26T20:15:32.7722930Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:32.7723389Z 2141 | : internals.registered_types_cpp; 2025-08-26T20:15:32.7723859Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:32.7724287Z 2142 | instances[std::type_index(typeid(type_alias))] 2025-08-26T20:15:32.7724764Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:32.7725216Z 2143 | = instances[std::type_index(typeid(type))]; 2025-08-26T20:15:32.7725616Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:32.7726002Z 2144 | }); 2025-08-26T20:15:32.7726261Z | ~ 2025-08-26T20:15:32.7729898Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so 2025-08-26T20:15:33.4003851Z building 'torch_test_cpp_extension.maia' extension 2025-08-26T20:15:33.4008270Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-26T20:15:34.4557883Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so 2025-08-26T20:15:35.0585532Z building 'torch_test_cpp_extension.rng' extension 2025-08-26T20:15:35.0590317Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-26T20:15:36.3098532Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T20:15:36.3100177Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T20:15:36.3101804Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T20:15:36.3103498Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T20:15:36.3104716Z from rng_extension.cpp:6: 2025-08-26T20:15:36.3106603Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1478: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:36.3108005Z 1478 | #pragma unroll 2025-08-26T20:15:36.3108399Z | 2025-08-26T20:15:36.3109102Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-08-26T20:15:36.3110549Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530, 2025-08-26T20:15:36.3111999Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T20:15:36.3113540Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T20:15:36.3114859Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T20:15:36.3116622Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T20:15:36.3117740Z from rng_extension.cpp:6: 2025-08-26T20:15:36.3119371Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:36.3120546Z 59 | #pragma unroll 2025-08-26T20:15:36.3120927Z | 2025-08-26T20:15:36.3122195Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:36.3123268Z 72 | #pragma unroll 2025-08-26T20:15:36.3123515Z | 2025-08-26T20:15:36.3124366Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:36.3125251Z 87 | #pragma unroll 2025-08-26T20:15:36.3125514Z | 2025-08-26T20:15:36.3126147Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531, 2025-08-26T20:15:36.3127056Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T20:15:36.3127880Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T20:15:36.3128682Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T20:15:36.3129611Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T20:15:36.3130295Z from rng_extension.cpp:6: 2025-08-26T20:15:36.3131409Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T20:15:36.3132309Z 160 | #pragma unroll 2025-08-26T20:15:36.3132559Z | 2025-08-26T20:15:36.3133077Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.3133925Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.3134742Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.3135538Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.3136287Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.3137129Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.3138044Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.3138944Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.3139835Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.3140777Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.3141744Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.3142597Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3143142Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3144215Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.3145883Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.3147616Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.3149434Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.3151342Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.3153600Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.3160182Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.3170909Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.3176958Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.3177978Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.3178356Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.3184855Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.3191538Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.3192839Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.3193330Z | ^~~~~~~~ 2025-08-26T20:15:36.3193951Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.3194958Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.3195849Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.3196675Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.3197443Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.3198266Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.3199336Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.3200484Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.3201635Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.3202767Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.3203776Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.3204721Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.3205567Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3206167Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3207006Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.3207733Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.3208081Z | ^~~~ 2025-08-26T20:15:36.3208658Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.3209552Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.3210375Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.3211158Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.3211979Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.3212819Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.3213745Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.3214642Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.3215541Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.3216476Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.3217445Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.3218297Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3218853Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3219859Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.3221417Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.3223148Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.3224928Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.3226830Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.3228885Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.3234859Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.3244823Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.3250554Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.3251475Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.3251869Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.3257998Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.3264294Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.3265599Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.3266105Z | ^~~~~~~~ 2025-08-26T20:15:36.3266740Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.3267753Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.3268651Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.3269505Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.3270277Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.3271121Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.3272262Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.3273508Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.3274647Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.3275777Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.3276791Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.3277740Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.3278593Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3279149Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3279976Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.3280720Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.3281066Z | ^~~~ 2025-08-26T20:15:36.3281645Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.3282497Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.3283322Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.3284117Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.3284882Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.3285730Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.3286642Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.3287542Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.3288438Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.3289379Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.3290345Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.3291261Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3291805Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3292805Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.3294420Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.3296159Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.3298009Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.3299910Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.3301953Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.3308192Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.3318811Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.3324813Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.3325745Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.3326129Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.3332441Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.3339028Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.3340318Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.3340739Z | ^~~~~~~~ 2025-08-26T20:15:36.3341368Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.3342381Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.3343258Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.3344077Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.3344851Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.3345731Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.3346790Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.3347921Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.3349076Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.3350194Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.3351238Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.3352211Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.3353058Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3353654Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3354494Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.3355516Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.3355869Z | ^~~~ 2025-08-26T20:15:36.3356433Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.3357301Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.3358140Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.3358942Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.3359694Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.3360524Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.3361452Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.3362348Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.3363246Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.3364193Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.3365159Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.3365990Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3366566Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3367597Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.3369173Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.3370919Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.3372770Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.3374670Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.3376711Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.3383165Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.3393776Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.3399797Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.3400746Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.3401141Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.3407601Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.3414276Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.3415574Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.3416047Z | ^~~~~~~~ 2025-08-26T20:15:36.3416669Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.3417684Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.3418585Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.3419431Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.3420203Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.3421050Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.3422107Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.3423256Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.3424416Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.3425557Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.3426577Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.3427534Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.3428368Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3428930Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3429768Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.3430528Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.3430866Z | ^~~~ 2025-08-26T20:15:36.3431503Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.3432369Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.3433248Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.3434053Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.3434838Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.3435691Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.3436621Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.3437589Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.3438546Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.3439500Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.3440455Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.3441312Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3441878Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3442893Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.3444476Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.3446211Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.3447980Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.3449875Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.3451932Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.3458386Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.3469143Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.3475216Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.3476165Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.3476568Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.3482837Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.3489404Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.3490696Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.3491114Z | ^~~~~~~~ 2025-08-26T20:15:36.3491728Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.3492795Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.3493685Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.3494510Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.3495278Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.3496158Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.3497223Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.3498435Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.3499592Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.3500717Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.3501714Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.3502667Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.3503518Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3504076Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3504921Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.3505650Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.3506000Z | ^~~~ 2025-08-26T20:15:36.3506577Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.3507440Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.3508268Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.3509050Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.3509803Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.3510652Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.3511581Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.3512483Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.3513438Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.3514371Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.3515337Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.3516189Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3516807Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3517831Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.3519392Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.3521169Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.3522953Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.3524932Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.3526988Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.3532857Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.3542720Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.3548405Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.3549377Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.3549769Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.3556083Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.3562489Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.3563778Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.3564198Z | ^~~~~~~~ 2025-08-26T20:15:36.3564827Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.3565839Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.3566727Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.3567532Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.3568303Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.3569144Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.3570208Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.3571361Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.3572501Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.3573627Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.3574641Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.3575586Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.3576435Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3576992Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3577873Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.3578615Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.3578965Z | ^~~~ 2025-08-26T20:15:36.3579548Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.3580400Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.3581256Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.3582048Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.3582802Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.3583715Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.3584631Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.3585528Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.3586427Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.3587372Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.3588339Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.3589185Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3589733Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3590730Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.3592297Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.3594110Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.3595886Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.3597800Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.3599846Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.3605703Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.3615732Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.3621442Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.3622390Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.3622782Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.3628734Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.3635060Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.3636354Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.3636778Z | ^~~~~~~~ 2025-08-26T20:15:36.3637395Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.3638448Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.3639342Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.3640161Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.3640955Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.3641801Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.3642850Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.3644056Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.3645265Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.3646394Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.3647416Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.3648372Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.3649224Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3649778Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3650625Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.3651375Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.3651735Z | ^~~~ 2025-08-26T20:15:36.3652305Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.3653173Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.3654002Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.3655075Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.3655836Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.3656685Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.3657619Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.3658520Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.3659416Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.3660357Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.3661317Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.3662152Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3662830Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3663846Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.3665416Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.3667198Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.3668980Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.3670979Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.3673021Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.3678936Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.3688809Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.3694500Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.3695483Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.3695879Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.3701870Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.3708164Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.3709451Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.3709880Z | ^~~~~~~~ 2025-08-26T20:15:36.3710498Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.3711502Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.3712392Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.3713261Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.3714036Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.3714873Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.3715941Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.3717098Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.3718253Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.3719377Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.3720393Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.3721326Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.3722169Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3722798Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3723638Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.3724386Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.3724722Z | ^~~~ 2025-08-26T20:15:36.3725297Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.3726205Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.3727025Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.3727804Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.3728588Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.3729459Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.3730389Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.3731284Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.3732177Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.3733104Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.3734067Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.3734918Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3735474Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3736466Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.3738016Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.3739745Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.3741522Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.3743426Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.3745458Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.3751359Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.3761658Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.3767403Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.3768325Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.3768718Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.3774651Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.3780904Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.3782179Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.3782652Z | ^~~~~~~~ 2025-08-26T20:15:36.3783283Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.3784289Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.3785180Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.3786061Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.3786836Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.3787685Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.3788792Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.3789980Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.3791127Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.3792260Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.3793342Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.3794295Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.3795151Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3795719Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3796550Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.3797301Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.3797654Z | ^~~~ 2025-08-26T20:15:36.3798235Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.3799085Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.3799908Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.3800712Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.3801468Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.3802320Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.3803234Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.3804130Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.3805026Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.3805968Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.3806934Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.3807824Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3808367Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3809362Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.3824266Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.3826379Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.3828177Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.3830164Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.3832217Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.3838177Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.3848066Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.3853847Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.3855074Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.3855468Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.3861556Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.3867863Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.3869159Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.3869584Z | ^~~~~~~~ 2025-08-26T20:15:36.3870217Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.3871223Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.3872099Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.3872920Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.3873779Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.3874623Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.3875689Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.3876821Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.3877974Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.3879102Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.3880118Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.3881069Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.3881924Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3882540Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3883381Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.3884131Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.3884479Z | ^~~~ 2025-08-26T20:15:36.3885043Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.3885941Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.3886769Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.3887562Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.3888373Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.3889203Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.3890136Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.3891029Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.3891925Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.3892866Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.3893833Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.3894669Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3895224Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3896230Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.3897802Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.3899534Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.3901317Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.3903223Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.3905262Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.3911143Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.3921209Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.3926931Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.3927867Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.3928254Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.3934181Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.3940442Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.3941737Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.3942198Z | ^~~~~~~~ 2025-08-26T20:15:36.3942810Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.3943816Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.3944705Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.3945552Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.3946321Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.3947149Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.3948271Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.3949422Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.3950578Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.3951708Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.3952705Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.3953714Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.3954722Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3955288Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3956134Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.3956863Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.3957213Z | ^~~~ 2025-08-26T20:15:36.3957798Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.3958674Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.3959498Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.3960276Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.3961038Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.3961878Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.3962806Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.3963696Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.3964577Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.3965517Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.3966482Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.3967413Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.3967976Z from rng_extension.cpp:1: 2025-08-26T20:15:36.3968977Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.3970586Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.3972318Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.3974188Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.3976090Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.3978126Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.3983991Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.3993902Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.3999650Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4000567Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4000955Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4006950Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4013234Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4014533Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4014952Z | ^~~~~~~~ 2025-08-26T20:15:36.4015582Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4016586Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4017463Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4018288Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4019056Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4019903Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4020976Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4022118Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4023257Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.4024383Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.4025398Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.4026343Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.4027234Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4027779Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4028611Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.4029353Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.4029701Z | ^~~~ 2025-08-26T20:15:36.4030313Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.4031165Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.4031986Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.4032822Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.4033673Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.4034523Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.4035436Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.4036335Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.4037234Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.4038178Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.4039146Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.4039998Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4040545Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4041552Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.4043126Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.4044856Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.4046648Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.4048545Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.4050586Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.4057153Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.4067824Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.4073846Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4074793Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4075183Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4081469Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4088053Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4089344Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4089764Z | ^~~~~~~~ 2025-08-26T20:15:36.4090396Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4091437Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4092317Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4093137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4093979Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4094825Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4095896Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4097050Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4098194Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.4099320Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.4100337Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.4101286Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.4102133Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4102679Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4103534Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.4104278Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.4104627Z | ^~~~ 2025-08-26T20:15:36.4105210Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.4106058Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.4106889Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.4107692Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.4108445Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.4109290Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.4110204Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.4111097Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.4111989Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.4112972Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.4114003Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.4114836Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4115402Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4116448Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.4118019Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.4119822Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.4121601Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.4123500Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.4125537Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.4131833Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.4142502Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.4148606Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4149536Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4149922Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4156668Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4163312Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4164607Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4165028Z | ^~~~~~~~ 2025-08-26T20:15:36.4165656Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4166664Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4167548Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4168370Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4169139Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4169986Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4171047Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4172178Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4173391Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.4174520Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.4175528Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.4176476Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.4177370Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4177915Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4178749Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.4179552Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.4179935Z | ^~~~ 2025-08-26T20:15:36.4180502Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.4181373Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.4182202Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.4183001Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.4183753Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.4184583Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.4185518Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.4186418Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.4187309Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.4188251Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.4189225Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.4190059Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4190621Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4191625Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.4193286Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.4195239Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.4197031Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.4198931Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.4201053Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.4207441Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.4218171Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.4224202Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4225138Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4225525Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4231913Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4238640Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4239965Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4240421Z | ^~~~~~~~ 2025-08-26T20:15:36.4241055Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4242053Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4242948Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4243774Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4244540Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4245381Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4246434Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4247580Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4248732Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.4249856Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.4250871Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.4251818Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.4252655Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4253213Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4254049Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.4255000Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.4255357Z | ^~~~ 2025-08-26T20:15:36.4255927Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.4256797Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.4257618Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.4258411Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.4259276Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.4260105Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.4261033Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.4261933Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.4262886Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.4263836Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.4264831Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.4265728Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4266292Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4267309Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.4268890Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.4270617Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.4272402Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.4274359Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.4276404Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.4282694Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.4293968Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.4300119Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4301054Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4301448Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4307811Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4314506Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4315801Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4316226Z | ^~~~~~~~ 2025-08-26T20:15:36.4316847Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4317857Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4318746Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4319569Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4320382Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4321227Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4322274Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4323450Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4324608Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.4325731Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.4326803Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.4327739Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.4328591Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4329147Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4329998Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.4330749Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.4331087Z | ^~~~ 2025-08-26T20:15:36.4331668Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.4332543Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.4333371Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.4334171Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.4334909Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.4335757Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.4336692Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.4337590Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.4338493Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.4339442Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.4340393Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.4341245Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4341807Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4342843Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.4344414Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.4346194Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.4347967Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.4349885Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.4351926Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.4358716Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.4369419Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.4375451Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4376387Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4376776Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4383273Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4389928Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4391216Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4391638Z | ^~~~~~~~ 2025-08-26T20:15:36.4392254Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4393326Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4394224Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4395048Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4395813Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4396642Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4397702Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4398847Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4400003Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.4401130Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.4402145Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.4403083Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.4403935Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4404491Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4405323Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.4406115Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.4406450Z | ^~~~ 2025-08-26T20:15:36.4407033Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.4407902Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.4408723Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.4409552Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.4410288Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.4411129Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.4412112Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.4413008Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.4413900Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.4414827Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.4415794Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.4416640Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4417201Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4418205Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.4419767Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.4421476Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.4423246Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.4425140Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.4427182Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.4433577Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.4444368Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.4450434Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4451367Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4451753Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4458288Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4464928Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4466301Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4466722Z | ^~~~~~~~ 2025-08-26T20:15:36.4467338Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4468346Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4469282Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4470106Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4470871Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4471699Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4472853Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4474089Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4475249Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.4476384Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.4477404Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.4478343Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.4479208Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4479770Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4480610Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.4481362Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.4481703Z | ^~~~ 2025-08-26T20:15:36.4482290Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.4483156Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.4483984Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.4484777Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.4485532Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.4486378Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.4487309Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.4488206Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.4489101Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.4490034Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.4491046Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.4491901Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4492460Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4493450Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.4495034Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.4496763Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.4498604Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.4500493Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.4502532Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.4508831Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.4519573Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.4525697Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4526661Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4527042Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4533425Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4540086Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4541374Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4541778Z | ^~~~~~~~ 2025-08-26T20:15:36.4542409Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4543412Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4544302Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4545135Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4545887Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4546728Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4547790Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4548938Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4550094Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.4551224Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.4552259Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.4553260Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.4554116Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4554872Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4555802Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.4556535Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.4556890Z | ^~~~ 2025-08-26T20:15:36.4557473Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.4558416Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.4559237Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.4560016Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.4560765Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.4561616Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.4562548Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.4563446Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.4564329Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.4565268Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.4566233Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.4567078Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4567636Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4568744Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.4570318Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.4572049Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.4573818Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.4575709Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.4577753Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.4584191Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.4594943Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.4601003Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4601939Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4602325Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4608706Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4615407Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4616696Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4617100Z | ^~~~~~~~ 2025-08-26T20:15:36.4617727Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4618799Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4619704Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4620529Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4621284Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4622134Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4623201Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4624356Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4625516Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.4626628Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.4627647Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.4628606Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.4629457Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4630020Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4630860Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.4631597Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.4631953Z | ^~~~ 2025-08-26T20:15:36.4632528Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.4633438Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.4634251Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.4635044Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.4635796Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.4636638Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.4637607Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.4638503Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.4639378Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.4640348Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.4641311Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.4642155Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4642744Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4643753Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.4645334Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.4647066Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.4648839Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.4650737Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.4652770Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.4659229Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.4670021Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.4676277Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4677200Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4677587Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4683973Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4690608Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4691890Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4692311Z | ^~~~~~~~ 2025-08-26T20:15:36.4692937Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4693942Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4694836Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4695644Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4696410Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4697262Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4698375Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4699518Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4700705Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.4701816Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.4702825Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.4703823Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.4704677Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4705233Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4706048Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.4706792Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.4707142Z | ^~~~ 2025-08-26T20:15:36.4707722Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.4708586Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.4709387Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.4710190Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.4710932Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.4711772Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.4712693Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.4713627Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.4714518Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.4715464Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.4716435Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.4717282Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4717823Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4718818Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.4720392Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.4722110Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.4723945Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.4725846Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.4727939Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.4733832Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.4743742Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.4749415Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4750352Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4750735Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4757009Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4763440Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4764775Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4765205Z | ^~~~~~~~ 2025-08-26T20:15:36.4765837Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4766832Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4767728Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4768554Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4769327Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4770186Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4771236Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4772386Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4773551Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.4774687Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.4775741Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.4776694Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.4777530Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4778087Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4778919Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.4779670Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.4780029Z | ^~~~ 2025-08-26T20:15:36.4780595Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.4781457Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.4782276Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.4783113Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.4783860Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.4784685Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.4785639Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.4786530Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.4787420Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.4788392Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.4789387Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.4790236Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4790792Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4791791Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.4793425Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.4795161Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.4796949Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.4798839Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.4800881Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.4807179Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.4817983Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.4824014Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4824956Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4825350Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4831704Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4838431Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4839725Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4840155Z | ^~~~~~~~ 2025-08-26T20:15:36.4840770Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4841777Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4842707Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4843562Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4844332Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4845170Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4846242Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4847389Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4848545Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.4849673Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.4850688Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.4851622Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.4852476Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4853032Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4853861Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.4854751Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.4855092Z | ^~~~ 2025-08-26T20:15:36.4855680Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.4856541Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.4857359Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.4858148Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.4858886Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.4859728Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.4860654Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.4861625Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.4862517Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.4863458Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.4864409Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.4865260Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4865821Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4866828Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.4868498Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.4870232Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.4872030Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.4873978Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.4876033Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.4882349Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.4893070Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.4899144Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4900134Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4900554Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4906947Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4913638Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4914934Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4915363Z | ^~~~~~~~ 2025-08-26T20:15:36.4915991Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4917004Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4917897Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4918731Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4919503Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4920332Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4921399Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4922598Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4923747Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.4924869Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.4925917Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.4926858Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.4927712Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4928298Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4929161Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.4929905Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.4930241Z | ^~~~ 2025-08-26T20:15:36.4930819Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.4931683Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.4932504Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.4933297Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.4934033Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.4934883Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.4935813Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.4936712Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.4937612Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.4938548Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.4939515Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.4940371Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.4940934Z from rng_extension.cpp:1: 2025-08-26T20:15:36.4941928Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.4943488Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.4945222Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.4947000Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.4948947Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.4950986Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.4957752Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.4968527Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.4974563Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.4975496Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.4975866Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.4982287Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.4988999Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.4990297Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.4990706Z | ^~~~~~~~ 2025-08-26T20:15:36.4991337Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.4992349Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.4993289Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.4994114Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.4994872Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.4995724Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.4996791Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.4997938Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.4999090Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.5000214Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.5001212Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.5002163Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.5003009Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.5003564Z from rng_extension.cpp:1: 2025-08-26T20:15:36.5004403Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.5005134Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.5005480Z | ^~~~ 2025-08-26T20:15:36.5006057Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.5006914Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.5007792Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.5008575Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.5009327Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.5010168Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.5011150Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.5012050Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.5012925Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.5013932Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.5014898Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.5015745Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.5016305Z from rng_extension.cpp:1: 2025-08-26T20:15:36.5017293Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.5018862Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.5020599Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.5022376Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.5024276Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.5026311Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.5032179Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.5042229Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.5047946Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.5048880Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.5049277Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.5055430Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.5061736Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.5063035Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.5063463Z | ^~~~~~~~ 2025-08-26T20:15:36.5064092Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.5065101Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.5065978Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.5066799Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.5067579Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.5068503Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.5069568Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.5070715Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.5071889Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.5073017Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.5074153Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.5075148Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.5075998Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.5076542Z from rng_extension.cpp:1: 2025-08-26T20:15:36.5077382Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.5078130Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.5078479Z | ^~~~ 2025-08-26T20:15:36.5079059Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T20:15:36.5079903Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T20:15:36.5080734Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T20:15:36.5092919Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T20:15:36.5093766Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T20:15:36.5094617Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T20:15:36.5095558Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T20:15:36.5096452Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T20:15:36.5097344Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T20:15:36.5097787Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T20:15:36.5098207Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T20:15:36.5098521Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.5098637Z from rng_extension.cpp:1: 2025-08-26T20:15:36.5099537Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T20:15:36.5100435Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T20:15:36.5101391Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T20:15:36.5102410Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T20:15:36.5103525Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T20:15:36.5104627Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T20:15:36.5110042Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T20:15:36.5116130Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T20:15:36.5116973Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T20:15:36.5117132Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T20:15:36.5117260Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T20:15:36.5123468Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T20:15:36.5124811Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T20:15:36.5125024Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T20:15:36.5125129Z | ^~~~~~~~ 2025-08-26T20:15:36.5125599Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T20:15:36.5126028Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T20:15:36.5126393Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T20:15:36.5126754Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T20:15:36.5127048Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T20:15:36.5127466Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T20:15:36.5128000Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T20:15:36.5128506Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T20:15:36.5129049Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T20:15:36.5129524Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T20:15:36.5129951Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T20:15:36.5130356Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T20:15:36.5130674Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-26T20:15:36.5130803Z from rng_extension.cpp:1: 2025-08-26T20:15:36.5131400Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T20:15:36.5131555Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T20:15:36.5131681Z | ^~~~ 2025-08-26T20:15:36.5134859Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so 2025-08-26T20:15:36.9905464Z running install_lib 2025-08-26T20:15:37.0038008Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:37.0121170Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:37.0205854Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:37.0297054Z running install_egg_info 2025-08-26T20:15:37.0484860Z running egg_info 2025-08-26T20:15:37.0568969Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-26T20:15:37.0572665Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-26T20:15:37.0574615Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-26T20:15:37.0576875Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-26T20:15:37.0659630Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T20:15:37.0668188Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T20:15:37.0669827Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info' (and everything under it) 2025-08-26T20:15:37.0671629Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info 2025-08-26T20:15:37.0683425Z running install_scripts 2025-08-26T20:15:40.0796010Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:15:40.0798989Z import pkg_resources 2025-08-26T20:15:40.1051829Z 2025-08-26T20:15:40.1052347Z Running tests... 2025-08-26T20:15:40.1052953Z ---------------------------------------------------------------------- 2025-08-26T20:15:40.1165571Z . 2025-08-26T20:15:40.1166095Z ---------------------------------------------------------------------- 2025-08-26T20:15:40.1166755Z Ran 1 test in 0.011s 2025-08-26T20:15:40.1167043Z 2025-08-26T20:15:40.1167189Z OK 2025-08-26T20:15:40.1167390Z 2025-08-26T20:15:40.1167601Z Generating XML reports... 2025-08-26T20:15:40.7751301Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-08-26 20:15:40.774789] 2025-08-26T20:15:43.1156540Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:15:43.1158339Z import pkg_resources 2025-08-26T20:15:43.1803861Z running install 2025-08-26T20:15:43.1806105Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T20:15:43.1806895Z !! 2025-08-26T20:15:43.1807023Z 2025-08-26T20:15:43.1807147Z ******************************************************************************** 2025-08-26T20:15:43.1807537Z Please avoid running ``setup.py`` directly. 2025-08-26T20:15:43.1807944Z Instead, use pypa/build, pypa/installer or other 2025-08-26T20:15:43.1808511Z standards-based tools. 2025-08-26T20:15:43.1808722Z 2025-08-26T20:15:43.1808953Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T20:15:43.1809450Z or your builds will no longer be supported. 2025-08-26T20:15:43.1809697Z 2025-08-26T20:15:43.1810080Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T20:15:43.1810684Z ******************************************************************************** 2025-08-26T20:15:43.1810930Z 2025-08-26T20:15:43.1811024Z !! 2025-08-26T20:15:43.1811248Z self.initialize_options() 2025-08-26T20:15:43.1943542Z running build 2025-08-26T20:15:43.1943792Z running build_py 2025-08-26T20:15:43.2028813Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-26T20:15:43.2030924Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-26T20:15:43.2034711Z running build_ext 2025-08-26T20:15:43.2369408Z building 'torch_test_cpp_extension.cpp' extension 2025-08-26T20:15:43.2370673Z creating /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313 2025-08-26T20:15:44.1391533Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/extension.o.d -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-26T20:15:44.1494861Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so 2025-08-26T20:15:44.6537014Z building 'torch_test_cpp_extension.maia' extension 2025-08-26T20:15:45.4181791Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/maia_extension.o.d -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/maia_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-26T20:15:45.4239536Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so 2025-08-26T20:15:45.9239956Z building 'torch_test_cpp_extension.rng' extension 2025-08-26T20:15:46.8250856Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/rng_extension.o.d -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-26T20:15:46.8307162Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so 2025-08-26T20:15:47.3565211Z running install_lib 2025-08-26T20:15:47.3692380Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:47.3738056Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:47.3783558Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-26T20:15:47.3834632Z running install_egg_info 2025-08-26T20:15:47.4019420Z running egg_info 2025-08-26T20:15:47.4093560Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-26T20:15:47.4096931Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-26T20:15:47.4098989Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-26T20:15:47.4101077Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-26T20:15:47.4181715Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T20:15:47.4189981Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T20:15:47.4191724Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info' (and everything under it) 2025-08-26T20:15:47.4193206Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info 2025-08-26T20:15:47.4199046Z running install_scripts 2025-08-26T20:15:49.5014391Z running install 2025-08-26T20:15:49.5016215Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T20:15:49.5017726Z !! 2025-08-26T20:15:49.5017902Z 2025-08-26T20:15:49.5018126Z ******************************************************************************** 2025-08-26T20:15:49.5018816Z Please avoid running ``setup.py`` directly. 2025-08-26T20:15:49.5019560Z Instead, use pypa/build, pypa/installer or other 2025-08-26T20:15:49.5020270Z standards-based tools. 2025-08-26T20:15:49.5020624Z 2025-08-26T20:15:49.5021074Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T20:15:49.5022001Z or your builds will no longer be supported. 2025-08-26T20:15:49.5022473Z 2025-08-26T20:15:49.5023045Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T20:15:49.5024075Z ******************************************************************************** 2025-08-26T20:15:49.5024580Z 2025-08-26T20:15:49.5024731Z !! 2025-08-26T20:15:49.5025136Z self.initialize_options() 2025-08-26T20:15:49.5150815Z running build 2025-08-26T20:15:49.5151236Z running build_ext 2025-08-26T20:15:49.5482630Z building 'no_python_abi_suffix_test' extension 2025-08-26T20:15:49.6071446Z ninja: no work to do. 2025-08-26T20:15:49.6119923Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so 2025-08-26T20:15:49.7216591Z running install_lib 2025-08-26T20:15:49.7305689Z copying build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-08-26T20:15:49.7310572Z running install_egg_info 2025-08-26T20:15:49.7496814Z running egg_info 2025-08-26T20:15:49.7569403Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2025-08-26T20:15:49.7573009Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2025-08-26T20:15:49.7575329Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2025-08-26T20:15:49.7652229Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T20:15:49.7660473Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T20:15:49.7662067Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/no_python_abi_suffix_test-0.0.0-py3.13.egg-info' (and everything under it) 2025-08-26T20:15:49.7664320Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/no_python_abi_suffix_test-0.0.0-py3.13.egg-info 2025-08-26T20:15:49.7668905Z running install_scripts 2025-08-26T20:15:50.1556724Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:15:50.1559836Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:15:50.155719] 2025-08-26T20:15:53.3497946Z 2025-08-26T20:15:53.3498954Z test_cpp_extensions_aot_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_ninja_1.1_f07f01afbd0b5b88_.log 2025-08-26T20:15:53.3508099Z Running 21 items in this shard: test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_ninja.py::TestTorchLibrary::test_torch_library 2025-08-26T20:15:53.3516390Z 2025-08-26T20:15:53.3516704Z Running inductor/test_aot_inductor_arrayref 1/1 ... [2025-08-26 20:15:53.350126] 2025-08-26T20:15:53.3517201Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:15:53.3518500Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:15:53.350448] 2025-08-26T20:16:00.3893145Z 2025-08-26T20:16:00.3894370Z inductor/test_aot_inductor_arrayref 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_1.1_a6c5e26c3d567e76_.log 2025-08-26T20:16:00.3895798Z 2025-08-26T20:16:00.3897733Z Running inductor/test_extension_backend 1/1 ... [2025-08-26 20:16:00.389577] 2025-08-26T20:16:00.3898452Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:16:00.3901742Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:16:00.389916] 2025-08-26T20:16:07.3824085Z 2025-08-26T20:16:07.3825081Z inductor/test_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_extension_backend_1.1_9b7daad04dc044ff_.log 2025-08-26T20:16:07.3825882Z 2025-08-26T20:16:07.3827804Z Running inductor/test_torchinductor_dynamic_shapes 1/1 ... [2025-08-26 20:16:07.382600] 2025-08-26T20:16:07.3828352Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:16:07.3831763Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:16:07.382931] 2025-08-26T20:16:14.3180878Z 2025-08-26T20:16:14.3182344Z inductor/test_torchinductor_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_1.1_ff8c4bcc9042eef8_.log 2025-08-26T20:16:14.3183468Z 2025-08-26T20:16:14.3184952Z Running inductor/test_triton_kernels 1/1 ... [2025-08-26 20:16:14.318312] 2025-08-26T20:16:14.3185484Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:16:14.3189142Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_kernels.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:16:14.318639] 2025-08-26T20:16:20.8020809Z 2025-08-26T20:16:20.8021814Z inductor/test_triton_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_kernels_1.1_4aac59b541ebac8e_.log 2025-08-26T20:16:20.8022584Z 2025-08-26T20:16:20.8024650Z Running dynamo/test_utils 1/1 ... [2025-08-26 20:16:20.802294] 2025-08-26T20:16:20.8025093Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:16:20.8028210Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:16:20.802611] 2025-08-26T20:16:23.8160385Z 2025-08-26T20:16:23.8161287Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_f08c54900bbf2a74_.log 2025-08-26T20:16:23.8161943Z 2025-08-26T20:16:23.8164412Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-08-26 20:16:23.816266] 2025-08-26T20:16:23.8164876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:16:23.8168449Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:16:23.816582] 2025-08-26T20:16:31.1611920Z 2025-08-26T20:16:31.1613446Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_ebef0425794a9650_.log 2025-08-26T20:16:31.1615015Z 2025-08-26T20:16:31.1618170Z Running inductor/test_compile_subprocess 1/1 ... [2025-08-26 20:16:31.161545] 2025-08-26T20:16:31.1618964Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:16:31.1623003Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:16:31.161957] 2025-08-26T20:16:38.1790913Z 2025-08-26T20:16:38.1791918Z inductor/test_compile_subprocess 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.1_107ba7a66abd89f5_.log 2025-08-26T20:16:38.1792849Z 2025-08-26T20:16:38.1795753Z Running inductor/test_memory 1/1 ... [2025-08-26 20:16:38.179299] 2025-08-26T20:16:38.1796453Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:16:38.1798198Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_memory.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:16:38.179613] 2025-08-26T20:16:44.6413503Z 2025-08-26T20:16:44.6414688Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_affcd0dfac07442b_.log 2025-08-26T20:16:44.6415621Z 2025-08-26T20:16:44.6417348Z Running inductor/test_inductor_freezing 1/1 ... [2025-08-26 20:16:44.641550] 2025-08-26T20:16:44.6418046Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:16:44.6421191Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_inductor_freezing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:16:44.641858] 2025-08-26T20:16:51.5579591Z 2025-08-26T20:16:51.5580665Z inductor/test_inductor_freezing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_freezing_1.1_961872dac86c1473_.log 2025-08-26T20:16:51.5581445Z 2025-08-26T20:16:51.5583247Z Running dynamo/test_package 1/1 ... [2025-08-26 20:16:51.558157] 2025-08-26T20:16:51.5583670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:16:51.5586783Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:16:51.558472] 2025-08-26T20:16:58.0334083Z 2025-08-26T20:16:58.0335416Z dynamo/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_package_1.1_dbabd62f666baba9_.log 2025-08-26T20:16:58.0336145Z 2025-08-26T20:16:58.0338724Z Running dynamo/test_logging 1/1 ... [2025-08-26 20:16:58.033676] 2025-08-26T20:16:58.0339182Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:16:58.0342184Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:16:58.034007] 2025-08-26T20:17:04.4874344Z 2025-08-26T20:17:04.4875304Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_22426360615cd58b_.log 2025-08-26T20:17:04.4875994Z 2025-08-26T20:17:04.4877988Z Running dynamo/test_structured_trace 1/1 ... [2025-08-26 20:17:04.487635] 2025-08-26T20:17:04.4878475Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:17:04.4882109Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_structured_trace.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:17:04.487961] 2025-08-26T20:17:10.9516860Z 2025-08-26T20:17:10.9517799Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_82e450e35fa0ca6c_.log 2025-08-26T20:17:10.9518573Z 2025-08-26T20:17:10.9520764Z Running inductor/test_torchbind 1/1 ... [2025-08-26 20:17:10.951928] 2025-08-26T20:17:10.9521311Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:17:10.9524959Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchbind.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:17:10.952265] 2025-08-26T20:17:17.4263241Z 2025-08-26T20:17:17.4264283Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_b175267a7ee0f575_.log 2025-08-26T20:17:17.4265028Z 2025-08-26T20:17:17.4267315Z Running dynamo/test_error_messages 1/1 ... [2025-08-26 20:17:17.426571] 2025-08-26T20:17:17.4267784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:17:17.4271514Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:17:17.426891] 2025-08-26T20:17:20.5920175Z 2025-08-26T20:17:20.5921366Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_7ae1b3347bce38ac_.log 2025-08-26T20:17:20.5922359Z 2025-08-26T20:17:20.5923666Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-08-26 20:17:20.592194] 2025-08-26T20:17:20.5924427Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:17:20.5927377Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_aot_autograd_cache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:17:20.592500] 2025-08-26T20:17:27.0784728Z 2025-08-26T20:17:27.0785738Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_6007600fbc01e198_.log 2025-08-26T20:17:27.0786505Z 2025-08-26T20:17:27.0788343Z Running dynamo/test_misc 1/1 ... [2025-08-26 20:17:27.078671] 2025-08-26T20:17:27.0788829Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:17:27.0792185Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_misc.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:17:27.078995] 2025-08-26T20:17:31.4754341Z 2025-08-26T20:17:31.4755353Z dynamo/test_misc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_misc_1.1_d073df28c2b2cdd4_.log 2025-08-26T20:17:31.4756067Z 2025-08-26T20:17:31.4758479Z Running dynamo/test_subclasses 1/1 ... [2025-08-26 20:17:31.475683] 2025-08-26T20:17:31.4758973Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:17:31.4762439Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_subclasses.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:17:31.476020] 2025-08-26T20:17:37.9534398Z 2025-08-26T20:17:37.9535653Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_de5e3780c82bb194_.log 2025-08-26T20:17:37.9536584Z 2025-08-26T20:17:37.9539265Z Running functorch/test_aotdispatch 2/6 ... [2025-08-26 20:17:37.953693] 2025-08-26T20:17:37.9539759Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:17:37.9543101Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=2', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:17:37.954056] 2025-08-26T20:17:43.0252110Z 2025-08-26T20:17:43.0253070Z functorch/test_aotdispatch 2/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_2.6_38b3a6d274964a9c_.log 2025-08-26T20:17:43.0253953Z Running 0 items in this shard: 2025-08-26T20:17:43.0254148Z 2025-08-26T20:17:43.0256888Z Running functorch/test_aotdispatch 6/6 ... [2025-08-26 20:17:43.025516] 2025-08-26T20:17:43.0257591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:17:43.0260839Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=6', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:17:43.025867] 2025-08-26T20:17:48.0969439Z 2025-08-26T20:17:48.0970484Z functorch/test_aotdispatch 6/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_6.6_0b7ded5b084921a1_.log 2025-08-26T20:17:48.0971579Z Running 0 items in this shard: 2025-08-26T20:17:48.0971780Z 2025-08-26T20:17:48.0973543Z Running test_indexing 1/1 ... [2025-08-26 20:17:48.097198] 2025-08-26T20:17:48.0973936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:17:48.0977650Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:17:48.097542] 2025-08-26T20:17:51.2661401Z 2025-08-26T20:17:51.2662375Z test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_indexing_1.1_009d3c61007c01ef_.log 2025-08-26T20:17:51.2663100Z Running 0 items in this shard: 2025-08-26T20:17:51.2663316Z 2025-08-26T20:17:51.2666833Z Running test_type_promotion 1/1 ... [2025-08-26 20:17:51.266445] 2025-08-26T20:17:51.2667504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:17:51.2670386Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_type_promotion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:17:51.266786] 2025-08-26T20:17:54.4855376Z 2025-08-26T20:17:54.4856615Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_e906e76200b1baa9_.log 2025-08-26T20:17:54.4857420Z Running 0 items in this shard: 2025-08-26T20:17:54.4857613Z 2025-08-26T20:17:54.4859312Z Running functorch/test_eager_transforms 1/1 ... [2025-08-26 20:17:54.485743] 2025-08-26T20:17:54.4859954Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:17:54.4863058Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:17:54.486052] 2025-08-26T20:17:59.0064519Z 2025-08-26T20:17:59.0065966Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_bb3bc63fc8b72c3c_.log 2025-08-26T20:17:59.0067452Z Running 0 items in this shard: 2025-08-26T20:17:59.0067701Z 2025-08-26T20:17:59.0069657Z Running inductor/test_flex_decoding 1/1 ... [2025-08-26 20:17:59.006780] 2025-08-26T20:17:59.0070139Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:17:59.0073812Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_flex_decoding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:17:59.007150] 2025-08-26T20:18:02.0395718Z 2025-08-26T20:18:02.0397250Z inductor/test_flex_decoding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_1.1_7f6586f1818b8264_.log 2025-08-26T20:18:02.0398641Z 2025-08-26T20:18:02.0401325Z Running export/test_export_training_ir_to_run_decomp 1/1 ... [2025-08-26 20:18:02.039911] 2025-08-26T20:18:02.0402182Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:02.0406352Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_training_ir_to_run_decomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:02.040314] 2025-08-26T20:18:08.6712332Z 2025-08-26T20:18:08.6713518Z export/test_export_training_ir_to_run_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_b561dd824e674adf_.log 2025-08-26T20:18:08.6714416Z 2025-08-26T20:18:08.6716453Z Running inductor/test_torchinductor_opinfo 1/1 ... [2025-08-26 20:18:08.671462] 2025-08-26T20:18:08.6717698Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:08.6720155Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:08.671776] 2025-08-26T20:18:16.6962872Z 2025-08-26T20:18:16.6964127Z inductor/test_torchinductor_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_1.1_96e763215c72efe0_.log 2025-08-26T20:18:16.6964957Z 2025-08-26T20:18:16.6967167Z Running dynamo/cpython/3_13/test_generator_stop 1/1 ... [2025-08-26 20:18:16.696540] 2025-08-26T20:18:16.6967766Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:16.6971034Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_generator_stop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:16.696880] 2025-08-26T20:18:19.8153348Z 2025-08-26T20:18:19.8155212Z dynamo/cpython/3_13/test_generator_stop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_generator_stop_1.1_ad5790046570763a_.log 2025-08-26T20:18:19.8157001Z Running 0 items in this shard: 2025-08-26T20:18:19.8157313Z 2025-08-26T20:18:19.8159627Z Running dynamo/cpython/3_13/test_exception_variations 1/1 ... [2025-08-26 20:18:19.815726] 2025-08-26T20:18:19.8160502Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:19.8165025Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_exception_variations.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:19.816141] 2025-08-26T20:18:22.9847709Z 2025-08-26T20:18:22.9848863Z dynamo/cpython/3_13/test_exception_variations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_exception_variations_1.1_ddec8b2a49b242ab_.log 2025-08-26T20:18:22.9849888Z Running 0 items in this shard: 2025-08-26T20:18:22.9850133Z 2025-08-26T20:18:22.9851670Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-08-26 20:18:22.984996] 2025-08-26T20:18:22.9852236Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:22.9855755Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:22.985333] 2025-08-26T20:18:29.5418396Z 2025-08-26T20:18:29.5419939Z dynamo/test_fx_graph_runnable 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_graph_runnable_1.1_520c5ef4de9523b7_.log 2025-08-26T20:18:29.5421136Z 2025-08-26T20:18:29.5422407Z Running dynamo/cpython/3_13/test_int_literal 1/1 ... [2025-08-26 20:18:29.542059] 2025-08-26T20:18:29.5423183Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:29.5428127Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_int_literal.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:29.542479] 2025-08-26T20:18:32.6609181Z 2025-08-26T20:18:32.6610198Z dynamo/cpython/3_13/test_int_literal 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_int_literal_1.1_677c9e4681e6117b_.log 2025-08-26T20:18:32.6611141Z Running 0 items in this shard: 2025-08-26T20:18:32.6611335Z 2025-08-26T20:18:32.6613788Z Running dynamo/cpython/3_13/test_itertools 1/1 ... [2025-08-26 20:18:32.661183] 2025-08-26T20:18:32.6614291Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:32.6617758Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_itertools.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:32.661532] 2025-08-26T20:18:35.8300116Z 2025-08-26T20:18:35.8301335Z dynamo/cpython/3_13/test_itertools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_itertools_1.1_27d289a14dfcb96b_.log 2025-08-26T20:18:35.8302272Z Running 0 items in this shard: 2025-08-26T20:18:35.8302467Z 2025-08-26T20:18:35.8304609Z Running dynamo/cpython/3_13/test_contextlib 1/1 ... [2025-08-26 20:18:35.830289] 2025-08-26T20:18:35.8305101Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:35.8308623Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_contextlib.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:35.830633] 2025-08-26T20:18:38.9991029Z 2025-08-26T20:18:38.9992382Z dynamo/cpython/3_13/test_contextlib 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_contextlib_1.1_5ac265f7600b4678_.log 2025-08-26T20:18:38.9993436Z Running 0 items in this shard: 2025-08-26T20:18:38.9993630Z 2025-08-26T20:18:38.9995459Z Running dynamo/cpython/3_13/test_numeric_tower 1/1 ... [2025-08-26 20:18:38.999381] 2025-08-26T20:18:38.9995980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:38.9999271Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_numeric_tower.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:38.999691] 2025-08-26T20:18:42.1180755Z 2025-08-26T20:18:42.1181794Z dynamo/cpython/3_13/test_numeric_tower 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_numeric_tower_1.1_31e6c2a521232aab_.log 2025-08-26T20:18:42.1182772Z Running 0 items in this shard: 2025-08-26T20:18:42.1182977Z 2025-08-26T20:18:42.1184452Z Running dynamo/cpython/3_13/test_ordered_dict 1/1 ... [2025-08-26 20:18:42.118294] 2025-08-26T20:18:42.1184958Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:42.1188273Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_ordered_dict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:42.118602] 2025-08-26T20:18:45.2369638Z 2025-08-26T20:18:45.2370721Z dynamo/cpython/3_13/test_ordered_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_ordered_dict_1.1_c7ca5c5fcc5996af_.log 2025-08-26T20:18:45.2371674Z Running 0 items in this shard: 2025-08-26T20:18:45.2371866Z 2025-08-26T20:18:45.2373693Z Running dynamo/cpython/3_13/test_with 1/1 ... [2025-08-26 20:18:45.237201] 2025-08-26T20:18:45.2374236Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:45.2377269Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_with.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:45.237506] 2025-08-26T20:18:48.3559648Z 2025-08-26T20:18:48.3560582Z dynamo/cpython/3_13/test_with 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_with_1.1_6e9bd1aae0a30549_.log 2025-08-26T20:18:48.3561467Z Running 0 items in this shard: 2025-08-26T20:18:48.3562278Z 2025-08-26T20:18:48.3563784Z Running dynamo/cpython/3_13/test_baseexception 1/1 ... [2025-08-26 20:18:48.356212] 2025-08-26T20:18:48.3564276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:48.3567758Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_baseexception.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:48.356542] 2025-08-26T20:18:51.4750724Z 2025-08-26T20:18:51.4751897Z dynamo/cpython/3_13/test_baseexception 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_baseexception_1.1_ac5197174d570bae_.log 2025-08-26T20:18:51.4752870Z Running 0 items in this shard: 2025-08-26T20:18:51.4753114Z 2025-08-26T20:18:51.4755795Z Running dynamo/cpython/3_13/test_exceptions 1/1 ... [2025-08-26 20:18:51.475336] 2025-08-26T20:18:51.4756345Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:51.4759517Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_exceptions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:51.475720] 2025-08-26T20:18:54.6444314Z 2025-08-26T20:18:54.6445375Z dynamo/cpython/3_13/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_exceptions_1.1_02f41897b59adaeb_.log 2025-08-26T20:18:54.6446300Z Running 0 items in this shard: 2025-08-26T20:18:54.6446509Z 2025-08-26T20:18:54.6448456Z Running dynamo/cpython/3_13/test_raise 1/1 ... [2025-08-26 20:18:54.644669] 2025-08-26T20:18:54.6448937Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:54.6452187Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_raise.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:54.644991] 2025-08-26T20:18:57.7636679Z 2025-08-26T20:18:57.7637930Z dynamo/cpython/3_13/test_raise 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_raise_1.1_cd51c24bb1e93722_.log 2025-08-26T20:18:57.7638861Z Running 0 items in this shard: 2025-08-26T20:18:57.7639057Z 2025-08-26T20:18:57.7640664Z Running dynamo/cpython/3_13/test_userlist 1/1 ... [2025-08-26 20:18:57.763849] 2025-08-26T20:18:57.7641221Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:18:57.7644020Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_userlist.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:57.764172] 2025-08-26T20:19:00.8827619Z 2025-08-26T20:19:00.8828814Z dynamo/cpython/3_13/test_userlist 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_userlist_1.1_1004f067afee4dfe_.log 2025-08-26T20:19:00.8829720Z Running 0 items in this shard: 2025-08-26T20:19:00.8829931Z 2025-08-26T20:19:00.8831592Z Running dynamo/cpython/3_13/test_generators 1/1 ... [2025-08-26 20:19:00.882983] 2025-08-26T20:19:00.8832298Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:00.8835252Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_generators.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:00.883299] 2025-08-26T20:19:04.0518389Z 2025-08-26T20:19:04.0519630Z dynamo/cpython/3_13/test_generators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_generators_1.1_a6a4c53ab0bc9f20_.log 2025-08-26T20:19:04.0520603Z Running 0 items in this shard: 2025-08-26T20:19:04.0520797Z 2025-08-26T20:19:04.0522164Z Running inductor/test_pattern_matcher 1/1 ... [2025-08-26 20:19:04.052063] 2025-08-26T20:19:04.0522622Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:04.0526043Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:04.052370] 2025-08-26T20:19:10.5391916Z 2025-08-26T20:19:10.5392982Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_d075b961591aaa24_.log 2025-08-26T20:19:10.5393803Z 2025-08-26T20:19:10.5395668Z Running inductor/test_analysis 1/1 ... [2025-08-26 20:19:10.539399] 2025-08-26T20:19:10.5396229Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:10.5399531Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_analysis.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:10.539700] 2025-08-26T20:19:17.1628405Z 2025-08-26T20:19:17.1629376Z inductor/test_analysis 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_analysis_1.1_20af060d85694cea_.log 2025-08-26T20:19:17.1630280Z Running 0 items in this shard: 2025-08-26T20:19:17.1630499Z 2025-08-26T20:19:17.1632191Z Running dynamo/cpython/3_13/test_int 1/1 ... [2025-08-26 20:19:17.163050] 2025-08-26T20:19:17.1632665Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:17.1636215Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_int.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:17.163376] 2025-08-26T20:19:20.2817399Z 2025-08-26T20:19:20.2818595Z dynamo/cpython/3_13/test_int 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_int_1.1_97799fcb8f61cb27_.log 2025-08-26T20:19:20.2819479Z Running 0 items in this shard: 2025-08-26T20:19:20.2819704Z 2025-08-26T20:19:20.2821419Z Running dynamo/cpython/3_13/test_userdict 1/1 ... [2025-08-26 20:19:20.281970] 2025-08-26T20:19:20.2821976Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:20.2825205Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_userdict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:20.282294] 2025-08-26T20:19:23.4507360Z 2025-08-26T20:19:23.4508412Z dynamo/cpython/3_13/test_userdict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_userdict_1.1_cb9a00b2068fc218_.log 2025-08-26T20:19:23.4509334Z Running 0 items in this shard: 2025-08-26T20:19:23.4509527Z 2025-08-26T20:19:23.4511561Z Running dynamo/cpython/3_13/test_defaultdict 1/1 ... [2025-08-26 20:19:23.450908] 2025-08-26T20:19:23.4512121Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:23.4514646Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_defaultdict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:23.451234] 2025-08-26T20:19:26.5695904Z 2025-08-26T20:19:26.5696970Z dynamo/cpython/3_13/test_defaultdict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_defaultdict_1.1_dfba4e90addf1f6a_.log 2025-08-26T20:19:26.5698175Z Running 0 items in this shard: 2025-08-26T20:19:26.5698393Z 2025-08-26T20:19:26.5700149Z Running dynamo/cpython/3_13/test_collections 1/1 ... [2025-08-26 20:19:26.569822] 2025-08-26T20:19:26.5700726Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:26.5703889Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_collections.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:26.570134] 2025-08-26T20:19:29.7886930Z 2025-08-26T20:19:29.7887957Z dynamo/cpython/3_13/test_collections 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_collections_1.1_058a0a7d57fe5a0e_.log 2025-08-26T20:19:29.7888911Z Running 0 items in this shard: 2025-08-26T20:19:29.7889122Z 2025-08-26T20:19:29.7891066Z Running dynamo/cpython/3_13/test_heapq 1/1 ... [2025-08-26 20:19:29.788934] 2025-08-26T20:19:29.7891648Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:29.7894845Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_heapq.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:29.789244] 2025-08-26T20:19:32.9578430Z 2025-08-26T20:19:32.9579432Z dynamo/cpython/3_13/test_heapq 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_heapq_1.1_0dc21bf0441dac90_.log 2025-08-26T20:19:32.9580327Z Running 0 items in this shard: 2025-08-26T20:19:32.9580541Z 2025-08-26T20:19:32.9582290Z Running dynamo/cpython/3_13/test_cmath 1/1 ... [2025-08-26 20:19:32.958047] 2025-08-26T20:19:32.9582772Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:32.9586125Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_cmath.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:32.958377] 2025-08-26T20:19:36.1771546Z 2025-08-26T20:19:36.1772597Z dynamo/cpython/3_13/test_cmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_cmath_1.1_d022d3106078a690_.log 2025-08-26T20:19:36.1773580Z Running 0 items in this shard: 2025-08-26T20:19:36.1773785Z 2025-08-26T20:19:36.1775567Z Running dynamo/cpython/3_13/test_operator 1/1 ... [2025-08-26 20:19:36.177375] 2025-08-26T20:19:36.1776087Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:36.1779222Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_operator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:36.177680] 2025-08-26T20:19:39.3963191Z 2025-08-26T20:19:39.3964781Z dynamo/cpython/3_13/test_operator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_operator_1.1_c6135a071915183f_.log 2025-08-26T20:19:39.3966434Z Running 0 items in this shard: 2025-08-26T20:19:39.3966730Z 2025-08-26T20:19:39.3969341Z Running dynamo/cpython/3_13/test_set 1/1 ... [2025-08-26 20:19:39.396681] 2025-08-26T20:19:39.3970672Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:39.3973988Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_set.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:39.397048] 2025-08-26T20:19:42.6659241Z 2025-08-26T20:19:42.6660188Z dynamo/cpython/3_13/test_set 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_set_1.1_6d60d1b701a0ba38_.log 2025-08-26T20:19:42.6661314Z Running 0 items in this shard: 2025-08-26T20:19:42.6661523Z 2025-08-26T20:19:42.6663095Z Running dynamo/cpython/3_13/test_math 1/1 ... [2025-08-26 20:19:42.666126] 2025-08-26T20:19:42.6663626Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:42.6667058Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_math.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:42.666452] 2025-08-26T20:19:45.8350205Z 2025-08-26T20:19:45.8351122Z dynamo/cpython/3_13/test_math 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_math_1.1_2032795d9938c5fe_.log 2025-08-26T20:19:45.8351999Z Running 0 items in this shard: 2025-08-26T20:19:45.8352193Z 2025-08-26T20:19:45.8354212Z Running dynamo/cpython/3_13/test_iter 1/1 ... [2025-08-26 20:19:45.835236] 2025-08-26T20:19:45.8354904Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:45.8358515Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_iter.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:45.835605] 2025-08-26T20:19:48.9539925Z 2025-08-26T20:19:48.9540910Z dynamo/cpython/3_13/test_iter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_iter_1.1_2852f201cca8f05c_.log 2025-08-26T20:19:48.9541781Z Running 0 items in this shard: 2025-08-26T20:19:48.9541993Z 2025-08-26T20:19:48.9543857Z Running dynamo/cpython/3_13/test_sys 1/1 ... [2025-08-26 20:19:48.954211] 2025-08-26T20:19:48.9544329Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:48.9547989Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_sys.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:48.954546] 2025-08-26T20:19:52.1732283Z 2025-08-26T20:19:52.1733220Z dynamo/cpython/3_13/test_sys 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_sys_1.1_977bfa1246df947e_.log 2025-08-26T20:19:52.1734249Z Running 0 items in this shard: 2025-08-26T20:19:52.1734458Z 2025-08-26T20:19:52.1735038Z Running dynamo/cpython/3_13/test_bool 1/1 ... [2025-08-26 20:19:52.173335] 2025-08-26T20:19:52.1735512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:52.1739120Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_bool.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:52.173674] 2025-08-26T20:19:55.2923086Z 2025-08-26T20:19:55.2924150Z dynamo/cpython/3_13/test_bool 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_bool_1.1_9916075155b1d84e_.log 2025-08-26T20:19:55.2925141Z Running 0 items in this shard: 2025-08-26T20:19:55.2925350Z 2025-08-26T20:19:55.2925610Z Running dynamo/cpython/3_13/test_list 1/1 ... [2025-08-26 20:19:55.292359] 2025-08-26T20:19:55.2926287Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:55.2929565Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_list.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:55.292720] 2025-08-26T20:19:58.4114326Z 2025-08-26T20:19:58.4115867Z dynamo/cpython/3_13/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_list_1.1_0abe4da55466cf6d_.log 2025-08-26T20:19:58.4117541Z Running 0 items in this shard: 2025-08-26T20:19:58.4117895Z 2025-08-26T20:19:58.4118735Z Running dynamo/cpython/3_13/test_float 1/1 ... [2025-08-26 20:19:58.411691] 2025-08-26T20:19:58.4119472Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:19:58.4124488Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_float.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:58.412112] 2025-08-26T20:20:01.5306155Z 2025-08-26T20:20:01.5307223Z dynamo/cpython/3_13/test_float 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_float_1.1_10ad9a986bbca951_.log 2025-08-26T20:20:01.5308131Z Running 0 items in this shard: 2025-08-26T20:20:01.5308343Z 2025-08-26T20:20:01.5310059Z Running dynamo/cpython/3_13/test_tuple 1/1 ... [2025-08-26 20:20:01.530851] 2025-08-26T20:20:01.5310557Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:01.5314013Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_tuple.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:01.531176] 2025-08-26T20:20:04.6495576Z 2025-08-26T20:20:04.6496573Z dynamo/cpython/3_13/test_tuple 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_tuple_1.1_3a1b66eb94464ede_.log 2025-08-26T20:20:04.6497479Z Running 0 items in this shard: 2025-08-26T20:20:04.6497677Z 2025-08-26T20:20:04.6499554Z Running dynamo/cpython/3_13/test_dict 1/1 ... [2025-08-26 20:20:04.649775] 2025-08-26T20:20:04.6500017Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:04.6503169Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_dict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:04.650087] 2025-08-26T20:20:07.8185907Z 2025-08-26T20:20:07.8186880Z dynamo/cpython/3_13/test_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_dict_1.1_876a7b8ce241e801_.log 2025-08-26T20:20:07.8187805Z Running 0 items in this shard: 2025-08-26T20:20:07.8188000Z 2025-08-26T20:20:07.8189690Z Running dynamo/cpython/3_13/test_complex 1/1 ... [2025-08-26 20:20:07.818812] 2025-08-26T20:20:07.8190178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:07.8193368Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_complex.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:07.819123] 2025-08-26T20:20:10.9383355Z 2025-08-26T20:20:10.9384454Z dynamo/cpython/3_13/test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_complex_1.1_f4d86578e0740103_.log 2025-08-26T20:20:10.9385467Z Running 0 items in this shard: 2025-08-26T20:20:10.9385777Z 2025-08-26T20:20:10.9386729Z Running inductor/test_external_callables 1/1 ... [2025-08-26 20:20:10.938499] 2025-08-26T20:20:10.9387491Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:10.9390193Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_external_callables.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:10.938781] 2025-08-26T20:20:13.9065455Z 2025-08-26T20:20:13.9066447Z inductor/test_external_callables 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_external_callables_1.1_c3f0bbdbb5c2bd8e_.log 2025-08-26T20:20:13.9067481Z 2025-08-26T20:20:13.9068833Z Running inductor/test_triton_syntax 1/1 ... [2025-08-26 20:20:13.906713] 2025-08-26T20:20:13.9069302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:13.9072439Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_syntax.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:13.907014] 2025-08-26T20:20:20.3770303Z 2025-08-26T20:20:20.3771268Z inductor/test_triton_syntax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_syntax_1.1_f94b34b231122055_.log 2025-08-26T20:20:20.3772025Z 2025-08-26T20:20:20.3774105Z Running inductor/test_pad_mm 1/1 ... [2025-08-26 20:20:20.377233] 2025-08-26T20:20:20.3774542Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:20.3778186Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_pad_mm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:20.377615] 2025-08-26T20:20:26.8931738Z 2025-08-26T20:20:26.8932610Z inductor/test_pad_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pad_mm_1.1_9173200b37156512_.log 2025-08-26T20:20:26.8933315Z 2025-08-26T20:20:26.8935717Z Running inductor/test_cpp_wrapper_hipify 1/1 ... [2025-08-26 20:20:26.893406] 2025-08-26T20:20:26.8936207Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:26.8939322Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpp_wrapper_hipify.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:26.893720] 2025-08-26T20:20:29.8944473Z 2025-08-26T20:20:29.8946070Z inductor/test_cpp_wrapper_hipify 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpp_wrapper_hipify_1.1_663dbe0c9971de3e_.log 2025-08-26T20:20:29.8949631Z 2025-08-26T20:20:29.8950086Z Running inductor/test_segmented_tree 1/1 ... [2025-08-26 20:20:29.894809] 2025-08-26T20:20:29.8950876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:29.8955313Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_segmented_tree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:29.895192] 2025-08-26T20:20:32.9136955Z 2025-08-26T20:20:32.9137908Z inductor/test_segmented_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_segmented_tree_1.1_2d363fb104045f93_.log 2025-08-26T20:20:32.9138668Z 2025-08-26T20:20:32.9141256Z Running inductor/test_triton_extension_backend 1/1 ... [2025-08-26 20:20:32.913939] 2025-08-26T20:20:32.9141775Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:32.9145071Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:32.914287] 2025-08-26T20:20:39.8677296Z 2025-08-26T20:20:39.8678319Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_1d7d7a0969035171_.log 2025-08-26T20:20:39.8679184Z 2025-08-26T20:20:39.8680947Z Running inductor/test_b2b_gemm 1/1 ... [2025-08-26 20:20:39.867937] 2025-08-26T20:20:39.8681401Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:39.8684720Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:39.868248] 2025-08-26T20:20:46.3634483Z 2025-08-26T20:20:46.3635526Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_a882c97b94deda7a_.log 2025-08-26T20:20:46.3636481Z 2025-08-26T20:20:46.3639532Z Running inductor/test_indexing 1/1 ... [2025-08-26 20:20:46.363759] 2025-08-26T20:20:46.3639992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:46.3643429Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:46.364123] 2025-08-26T20:20:52.8630419Z 2025-08-26T20:20:52.8631452Z inductor/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_indexing_1.1_3d336462afed58b9_.log 2025-08-26T20:20:52.8632245Z 2025-08-26T20:20:52.8634561Z Running inductor/test_fx_fusion 1/1 ... [2025-08-26 20:20:52.863270] 2025-08-26T20:20:52.8635015Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:52.8637916Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fx_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:52.863580] 2025-08-26T20:20:56.7142734Z 2025-08-26T20:20:56.7143577Z inductor/test_fx_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fx_fusion_1.1_efdb484bc1f2def2_.log 2025-08-26T20:20:56.7144411Z 2025-08-26T20:20:56.7145016Z Running export/test_functionalized_assertions 1/1 ... [2025-08-26 20:20:56.714362] 2025-08-26T20:20:56.7145561Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:56.7149122Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_functionalized_assertions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:56.714692] 2025-08-26T20:20:59.8332422Z 2025-08-26T20:20:59.8333508Z export/test_functionalized_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_functionalized_assertions_1.1_c332f0a8224bc9f9_.log 2025-08-26T20:20:59.8334472Z Running 0 items in this shard: 2025-08-26T20:20:59.8334663Z 2025-08-26T20:20:59.8336764Z Running export/test_unflatten_training_ir 1/1 ... [2025-08-26 20:20:59.833446] 2025-08-26T20:20:59.8337270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:20:59.8340319Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_unflatten_training_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:20:59.833760] 2025-08-26T20:21:02.7984675Z 2025-08-26T20:21:02.7985980Z export/test_unflatten_training_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_training_ir_1.1_658b49f8722159f1_.log 2025-08-26T20:21:02.7987004Z 2025-08-26T20:21:02.7988996Z Running inductor/test_ck_backend 1/1 ... [2025-08-26 20:21:02.798699] 2025-08-26T20:21:02.7989568Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:02.7992487Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_ck_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:02.799007] 2025-08-26T20:21:09.3096673Z 2025-08-26T20:21:09.3098135Z inductor/test_ck_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ck_backend_1.1_738f5380092243b9_.log 2025-08-26T20:21:09.3098870Z 2025-08-26T20:21:09.3100823Z Running dynamo/test_backends 1/1 ... [2025-08-26 20:21:09.309876] 2025-08-26T20:21:09.3101486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:09.3104807Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_backends.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:09.310225] 2025-08-26T20:21:15.7095526Z 2025-08-26T20:21:15.7096705Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_dd9794e526200efa_.log 2025-08-26T20:21:15.7097408Z 2025-08-26T20:21:15.7101827Z Running inductor/test_metrics 1/1 ... [2025-08-26 20:21:15.709756] 2025-08-26T20:21:15.7102638Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:15.7104013Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_metrics.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:15.710093] 2025-08-26T20:21:22.1806249Z 2025-08-26T20:21:22.1807561Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_b00962deed5e7397_.log 2025-08-26T20:21:22.1808258Z 2025-08-26T20:21:22.1810532Z Running inductor/test_autoheuristic 1/1 ... [2025-08-26 20:21:22.180850] 2025-08-26T20:21:22.1811198Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:22.1814746Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:22.181200] 2025-08-26T20:21:28.6203666Z 2025-08-26T20:21:28.6204996Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_c7dbc8db3f1c8373_.log 2025-08-26T20:21:28.6205784Z 2025-08-26T20:21:28.6207822Z Running dynamo/test_inline_and_install 1/1 ... [2025-08-26 20:21:28.620586] 2025-08-26T20:21:28.6208475Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:28.6211162Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_inline_and_install.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:28.620895] 2025-08-26T20:21:31.8582793Z 2025-08-26T20:21:31.8583757Z dynamo/test_inline_and_install 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_inline_and_install_1.1_bea7bf9ca4e41812_.log 2025-08-26T20:21:31.8584549Z 2025-08-26T20:21:31.8587401Z Running test_model_exports_to_core_aten 1/1 ... [2025-08-26 20:21:31.858516] 2025-08-26T20:21:31.8587906Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:31.8590405Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:31.858828] 2025-08-26T20:21:35.2779424Z 2025-08-26T20:21:35.2780708Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_185a2bff17eeaefd_.log 2025-08-26T20:21:35.2781566Z Running 0 items in this shard: 2025-08-26T20:21:35.2781776Z 2025-08-26T20:21:35.2783901Z Running export/test_tree_utils 1/1 ... [2025-08-26 20:21:35.278225] 2025-08-26T20:21:35.2784553Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:35.2787843Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_tree_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:35.278560] 2025-08-26T20:21:38.3970722Z 2025-08-26T20:21:38.3972181Z export/test_tree_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tree_utils_1.1_2d51e82f30a3275e_.log 2025-08-26T20:21:38.3973019Z Running 0 items in this shard: 2025-08-26T20:21:38.3973214Z 2025-08-26T20:21:38.3975284Z Running inductor/test_remote_cache 1/1 ... [2025-08-26 20:21:38.397348] 2025-08-26T20:21:38.3975749Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:38.3979117Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_remote_cache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:38.397697] 2025-08-26T20:21:41.4321992Z 2025-08-26T20:21:41.4323414Z inductor/test_remote_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_remote_cache_1.1_e5bb15c87f05af5f_.log 2025-08-26T20:21:41.4324693Z 2025-08-26T20:21:41.4325539Z Running inductor/test_minifier_utils 1/1 ... [2025-08-26 20:21:41.432338] 2025-08-26T20:21:41.4326277Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:41.4331301Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_minifier_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:41.432783] 2025-08-26T20:21:44.8016108Z 2025-08-26T20:21:44.8017313Z inductor/test_minifier_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_utils_1.1_386eef251516d7af_.log 2025-08-26T20:21:44.8018215Z Running 0 items in this shard: 2025-08-26T20:21:44.8018518Z 2025-08-26T20:21:44.8019785Z Running dynamo/test_decorators 1/1 ... [2025-08-26 20:21:44.801791] 2025-08-26T20:21:44.8020519Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:44.8023636Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_decorators.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:44.802102] 2025-08-26T20:21:47.9912918Z 2025-08-26T20:21:47.9914188Z dynamo/test_decorators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_decorators_1.1_e75915f07f466e74_.log 2025-08-26T20:21:47.9914901Z 2025-08-26T20:21:47.9917277Z Running inductor/test_utils 1/1 ... [2025-08-26 20:21:47.991508] 2025-08-26T20:21:47.9917987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:47.9922123Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:47.991879] 2025-08-26T20:21:51.1104139Z 2025-08-26T20:21:51.1105635Z inductor/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_utils_1.1_60863aaf9cfea592_.log 2025-08-26T20:21:51.1106500Z Running 0 items in this shard: 2025-08-26T20:21:51.1106748Z 2025-08-26T20:21:51.1108640Z Running inductor/test_subgraph_choice 1/1 ... [2025-08-26 20:21:51.110683] 2025-08-26T20:21:51.1109251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:51.1113104Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:51.111045] 2025-08-26T20:21:57.5824477Z 2025-08-26T20:21:57.5825634Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_ec6f16cc89cda0a8_.log 2025-08-26T20:21:57.5826773Z 2025-08-26T20:21:57.5828769Z Running export/test_serdes 1/1 ... [2025-08-26 20:21:57.582716] 2025-08-26T20:21:57.5829345Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:57.5833375Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_serdes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:57.583067] 2025-08-26T20:22:03.9935421Z 2025-08-26T20:22:03.9936762Z export/test_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serdes_1.1_368f2c04886a1cbc_.log 2025-08-26T20:22:03.9937998Z 2025-08-26T20:22:03.9941359Z Running inductor/test_cooperative_reductions 1/1 ... [2025-08-26 20:22:03.993859] 2025-08-26T20:22:03.9942153Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:22:03.9945569Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:22:03.994229] 2025-08-26T20:22:10.4561538Z 2025-08-26T20:22:10.4562582Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_b66d3e10dba75814_.log 2025-08-26T20:22:10.4563470Z 2025-08-26T20:22:10.4564766Z Running export/test_export_with_inline_and_install 1/1 ... [2025-08-26 20:22:10.456305] 2025-08-26T20:22:10.4565287Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:22:10.4568383Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_with_inline_and_install.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:22:10.456590] 2025-08-26T20:22:16.9890751Z 2025-08-26T20:22:16.9891778Z export/test_export_with_inline_and_install 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_with_inline_and_install_1.1_c77c3db667850388_.log 2025-08-26T20:22:16.9892637Z 2025-08-26T20:22:16.9894252Z Running dynamo/cpython/3_13/test_unittest/test_assertions 1/1 ... [2025-08-26 20:22:16.989237] 2025-08-26T20:22:16.9894815Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:22:16.9898446Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_unittest/test_assertions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:22:16.989562] 2025-08-26T20:22:20.1079890Z 2025-08-26T20:22:20.1081126Z dynamo/cpython/3_13/test_unittest/test_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_unittest.test_assertions_1.1_517458ceda436f15_.log 2025-08-26T20:22:20.1082594Z Running 0 items in this shard: 2025-08-26T20:22:20.1082808Z 2025-08-26T20:22:20.1084297Z Running inductor/test_foreach 1/1 ... [2025-08-26 20:22:20.108229] 2025-08-26T20:22:20.1084806Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:22:20.1087568Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_foreach.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:22:20.108545] 2025-08-26T20:22:27.0110388Z 2025-08-26T20:22:27.0111874Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_7bd2f57c8f0f302f_.log 2025-08-26T20:22:27.0112601Z 2025-08-26T20:22:27.0114510Z Running inductor/test_debug_trace 1/1 ... [2025-08-26 20:22:27.011274] 2025-08-26T20:22:27.0115086Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:22:27.0118495Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_debug_trace.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:22:27.011620] 2025-08-26T20:22:33.8853337Z 2025-08-26T20:22:33.8854940Z inductor/test_debug_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_debug_trace_1.1_56f8c8be4f188f72_.log 2025-08-26T20:22:33.8856327Z 2025-08-26T20:22:33.8859018Z Running dynamo/test_interop 1/1 ... [2025-08-26 20:22:33.885687] 2025-08-26T20:22:33.8859711Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:22:33.8863921Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_interop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:22:33.886076] 2025-08-26T20:22:37.1206959Z 2025-08-26T20:22:37.1207879Z dynamo/test_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_interop_1.1_3b1f6f556ba66bb0_.log 2025-08-26T20:22:37.1208551Z 2025-08-26T20:22:37.1210702Z Running inductor/test_fp8 1/1 ... [2025-08-26 20:22:37.120916] 2025-08-26T20:22:37.1211122Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:22:37.1214643Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fp8.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:22:37.121252] 2025-08-26T20:22:43.6031233Z 2025-08-26T20:22:43.6032242Z inductor/test_fp8 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fp8_1.1_4a0adaba6948667b_.log 2025-08-26T20:22:43.6032931Z 2025-08-26T20:22:43.6035084Z Running inductor/test_kernel_optimization 1/1 ... [2025-08-26 20:22:43.603320] 2025-08-26T20:22:43.6035599Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:22:43.6039062Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_kernel_optimization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:22:43.603672] 2025-08-26T20:22:50.0121218Z 2025-08-26T20:22:50.0129157Z inductor/test_kernel_optimization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_optimization_1.1_f8849d12836b33ca_.log 2025-08-26T20:22:50.0130713Z 2025-08-26T20:22:50.0131129Z Running inductor/test_memory_planning 1/1 ... [2025-08-26 20:22:50.012360] 2025-08-26T20:22:50.0131846Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:22:50.0133879Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_memory_planning.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:22:50.012702] 2025-08-26T20:22:56.9040031Z 2025-08-26T20:22:56.9040984Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_7cd17e12721cce02_.log 2025-08-26T20:22:56.9041763Z 2025-08-26T20:22:56.9043644Z Running dynamo/test_buffers_override 1/1 ... [2025-08-26 20:22:56.904201] 2025-08-26T20:22:56.9044161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:22:56.9047825Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_buffers_override.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:22:56.904535] 2025-08-26T20:22:59.7803437Z 2025-08-26T20:22:59.7804622Z dynamo/test_buffers_override 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_buffers_override_1.1_91699e87709ceff7_.log 2025-08-26T20:22:59.7805396Z 2025-08-26T20:22:59.7807011Z Running inductor/test_combo_kernels 1/1 ... [2025-08-26 20:22:59.780539] 2025-08-26T20:22:59.7807482Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:22:59.7811262Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_combo_kernels.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:22:59.780889] 2025-08-26T20:23:06.6816813Z 2025-08-26T20:23:06.6817763Z inductor/test_combo_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_combo_kernels_1.1_a4d809caf66e08be_.log 2025-08-26T20:23:06.6818530Z 2025-08-26T20:23:06.6820213Z Running inductor/test_best_config 1/1 ... [2025-08-26 20:23:06.681853] 2025-08-26T20:23:06.6820721Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:23:06.6823831Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:23:06.682154] 2025-08-26T20:23:13.0927377Z 2025-08-26T20:23:13.0928356Z inductor/test_best_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_best_config_1.1_ccff3423c9a14a92_.log 2025-08-26T20:23:13.0929087Z 2025-08-26T20:23:13.0930892Z Running dynamo/test_sdpa 1/1 ... [2025-08-26 20:23:13.092919] 2025-08-26T20:23:13.0931384Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:23:13.0934128Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_sdpa.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:23:13.093203] 2025-08-26T20:23:16.2236157Z 2025-08-26T20:23:16.2237038Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_a954df26f253f910_.log 2025-08-26T20:23:16.2237696Z 2025-08-26T20:23:16.2239870Z Running dynamo/test_ctx_manager 1/1 ... [2025-08-26 20:23:16.223819] 2025-08-26T20:23:16.2240326Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:23:16.2243537Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_ctx_manager.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:23:16.224131] 2025-08-26T20:23:22.7206893Z 2025-08-26T20:23:22.7207796Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_9ccf8968564d0748_.log 2025-08-26T20:23:22.7209585Z 2025-08-26T20:23:22.7211699Z Running export/test_tools 1/1 ... [2025-08-26 20:23:22.720954] 2025-08-26T20:23:22.7212144Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:23:22.7215189Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_tools.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:23:22.721270] 2025-08-26T20:23:25.9899025Z 2025-08-26T20:23:25.9900077Z export/test_tools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tools_1.1_cfcc9e15789c0520_.log 2025-08-26T20:23:25.9900864Z Running 0 items in this shard: 2025-08-26T20:23:25.9901056Z 2025-08-26T20:23:25.9903476Z Running dynamo/test_pre_dispatch 1/1 ... [2025-08-26 20:23:25.990168] 2025-08-26T20:23:25.9903929Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:23:25.9907524Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_pre_dispatch.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:23:25.990518] 2025-08-26T20:23:28.9045663Z 2025-08-26T20:23:28.9047127Z dynamo/test_pre_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pre_dispatch_1.1_873ef761eec9efe1_.log 2025-08-26T20:23:28.9048265Z 2025-08-26T20:23:28.9049082Z Running inductor/test_cutlass_evt 1/1 ... [2025-08-26 20:23:28.904736] 2025-08-26T20:23:28.9049825Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:23:28.9055103Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cutlass_evt.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:23:28.905167] 2025-08-26T20:23:35.3040265Z 2025-08-26T20:23:35.3041238Z inductor/test_cutlass_evt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_evt_1.1_b3af815c07aeb9d4_.log 2025-08-26T20:23:35.3041964Z 2025-08-26T20:23:35.3043298Z Running inductor/test_decompose_mem_bound_mm 1/1 ... [2025-08-26 20:23:35.304170] 2025-08-26T20:23:35.3043805Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:23:35.3046983Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_decompose_mem_bound_mm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:23:35.304496] 2025-08-26T20:23:41.9037106Z 2025-08-26T20:23:41.9038938Z inductor/test_decompose_mem_bound_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_decompose_mem_bound_mm_1.1_eb6af7f8a14880e8_.log 2025-08-26T20:23:41.9040403Z 2025-08-26T20:23:41.9041345Z Running inductor/test_helion_kernels 1/1 ... [2025-08-26 20:23:41.903948] 2025-08-26T20:23:41.9042141Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:23:41.9046220Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_helion_kernels.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:23:41.904288] 2025-08-26T20:23:48.3545737Z 2025-08-26T20:23:48.3546733Z inductor/test_helion_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_helion_kernels_1.1_88d08fd35c3263c1_.log 2025-08-26T20:23:48.3547489Z 2025-08-26T20:23:48.3549194Z Running dynamo/test_view 1/1 ... [2025-08-26 20:23:48.354746] 2025-08-26T20:23:48.3549679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:23:48.3552978Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_view.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:23:48.355079] 2025-08-26T20:23:51.2966563Z 2025-08-26T20:23:51.2967420Z dynamo/test_view 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_view_1.1_27c72c234d38cbfa_.log 2025-08-26T20:23:51.2968063Z 2025-08-26T20:23:51.2970362Z Running dynamo/test_subgraphs 1/1 ... [2025-08-26 20:23:51.296860] 2025-08-26T20:23:51.2970813Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:23:51.2974419Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_subgraphs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:23:51.297183] 2025-08-26T20:23:54.4851963Z 2025-08-26T20:23:54.4853437Z dynamo/test_subgraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subgraphs_1.1_46b4b8d7b155c406_.log 2025-08-26T20:23:54.4854277Z 2025-08-26T20:23:54.4858212Z Running inductor/test_multi_kernel 1/1 ... [2025-08-26 20:23:54.485478] 2025-08-26T20:23:54.4858777Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:23:54.4860349Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_multi_kernel.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:23:54.485793] 2025-08-26T20:24:00.8564485Z 2025-08-26T20:24:00.8565402Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_bcee82c472a7b8f5_.log 2025-08-26T20:24:00.8566173Z 2025-08-26T20:24:00.8568723Z Running inductor/test_inductor_scheduler 1/1 ... [2025-08-26 20:24:00.856662] 2025-08-26T20:24:00.8569467Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:24:00.8572056Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_inductor_scheduler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:24:00.856978] 2025-08-26T20:24:07.5303024Z 2025-08-26T20:24:07.5304116Z inductor/test_inductor_scheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_scheduler_1.1_633f1efbd0e4f932_.log 2025-08-26T20:24:07.5305153Z Running 0 items in this shard: 2025-08-26T20:24:07.5305352Z 2025-08-26T20:24:07.5306809Z Running inductor/test_split_cat_fx_passes 1/1 ... [2025-08-26 20:24:07.530498] 2025-08-26T20:24:07.5307296Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:24:07.5310513Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_split_cat_fx_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:24:07.530826] 2025-08-26T20:24:14.0211753Z 2025-08-26T20:24:14.0212767Z inductor/test_split_cat_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_passes_1.1_0111df65734da157_.log 2025-08-26T20:24:14.0213558Z 2025-08-26T20:24:14.0215561Z Running inductor/test_block_analysis 1/1 ... [2025-08-26 20:24:14.021384] 2025-08-26T20:24:14.0216024Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:24:14.0219446Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_block_analysis.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:24:14.021712] 2025-08-26T20:24:20.6456060Z 2025-08-26T20:24:20.6457216Z inductor/test_block_analysis 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_block_analysis_1.1_58cb4e2b89b87458_.log 2025-08-26T20:24:20.6458401Z Running 0 items in this shard: 2025-08-26T20:24:20.6458645Z 2025-08-26T20:24:20.6460425Z Running export/test_cpp_serdes 1/1 ... [2025-08-26 20:24:20.645861] 2025-08-26T20:24:20.6460876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:24:20.6464203Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_cpp_serdes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:24:20.646185] 2025-08-26T20:24:27.1733718Z 2025-08-26T20:24:27.1734961Z export/test_cpp_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_cpp_serdes_1.1_47fcd3e5921e082b_.log 2025-08-26T20:24:27.1735683Z 2025-08-26T20:24:27.1737730Z Running inductor/test_online_softmax 1/1 ... [2025-08-26 20:24:27.173593] 2025-08-26T20:24:27.1738212Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:24:27.1741377Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_online_softmax.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:24:27.173903] 2025-08-26T20:24:33.6316379Z 2025-08-26T20:24:33.6317908Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_3bb746884bfdbea8_.log 2025-08-26T20:24:33.6319341Z 2025-08-26T20:24:33.6319691Z Running inductor/test_cuda_repro 1/1 ... [2025-08-26 20:24:33.631748] 2025-08-26T20:24:33.6320383Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:24:33.6325033Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cuda_repro.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:24:33.632186] 2025-08-26T20:24:40.1273425Z 2025-08-26T20:24:40.1274326Z inductor/test_cuda_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_repro_1.1_85c48bfb4eae095d_.log 2025-08-26T20:24:40.1275062Z 2025-08-26T20:24:40.1277567Z Running dynamo/test_reconstruct 1/1 ... [2025-08-26 20:24:40.127568] 2025-08-26T20:24:40.1278028Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:24:40.1281494Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_reconstruct.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:24:40.127909] 2025-08-26T20:24:46.6686997Z 2025-08-26T20:24:46.6688214Z dynamo/test_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reconstruct_1.1_afdf3ddd39ae5cef_.log 2025-08-26T20:24:46.6689239Z 2025-08-26T20:24:46.6689618Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-08-26 20:24:46.668801] 2025-08-26T20:24:46.6690116Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:24:46.6693371Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_graph_region_tracker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:24:46.669114] 2025-08-26T20:24:49.8657757Z 2025-08-26T20:24:49.8658909Z dynamo/test_graph_region_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_region_tracker_1.1_8fc5e5df75194dde_.log 2025-08-26T20:24:49.8659760Z 2025-08-26T20:24:49.8661613Z Running inductor/test_fuzzer 1/1 ... [2025-08-26 20:24:49.865991] 2025-08-26T20:24:49.8662056Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:24:49.8665356Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fuzzer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:24:49.866315] 2025-08-26T20:24:56.3339798Z 2025-08-26T20:24:56.3340689Z inductor/test_fuzzer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fuzzer_1.1_8dc9e3028c623a43_.log 2025-08-26T20:24:56.3341378Z 2025-08-26T20:24:56.3343517Z Running dynamo/test_modules 1/1 ... [2025-08-26 20:24:56.334179] 2025-08-26T20:24:56.3343952Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:24:56.3347350Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:24:56.334512] 2025-08-26T20:25:02.8327014Z 2025-08-26T20:25:02.8328327Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_96db83a1bb565142_.log 2025-08-26T20:25:02.8329108Z 2025-08-26T20:25:02.8330611Z Running dynamo/test_config 1/1 ... [2025-08-26 20:25:02.832894] 2025-08-26T20:25:02.8331119Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:02.8334382Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:02.833221] 2025-08-26T20:25:06.0423052Z 2025-08-26T20:25:06.0423977Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_33e4c1d234d0fda2_.log 2025-08-26T20:25:06.0424725Z 2025-08-26T20:25:06.0427167Z Running export/test_package 1/1 ... [2025-08-26 20:25:06.042503] 2025-08-26T20:25:06.0427643Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:06.0430566Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:06.042831] 2025-08-26T20:25:09.1613084Z 2025-08-26T20:25:09.1614055Z export/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_package_1.1_f78b475428563fbe_.log 2025-08-26T20:25:09.1614876Z Running 0 items in this shard: 2025-08-26T20:25:09.1615073Z 2025-08-26T20:25:09.1616815Z Running dynamo/test_resume 1/1 ... [2025-08-26 20:25:09.161521] 2025-08-26T20:25:09.1617308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:09.1620660Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_resume.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:09.161843] 2025-08-26T20:25:12.1396609Z 2025-08-26T20:25:12.1397446Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_9bb0d50b30d4d847_.log 2025-08-26T20:25:12.1398122Z 2025-08-26T20:25:12.1400777Z Running dynamo/test_export_mutations 1/1 ... [2025-08-26 20:25:12.139920] 2025-08-26T20:25:12.1401252Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:12.1404970Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_export_mutations.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:12.140267] 2025-08-26T20:25:15.2970862Z 2025-08-26T20:25:15.2971840Z dynamo/test_export_mutations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_mutations_1.1_02e0dcf310d394be_.log 2025-08-26T20:25:15.2972831Z 2025-08-26T20:25:15.2974727Z Running inductor/test_control_flow 1/1 ... [2025-08-26 20:25:15.297324] 2025-08-26T20:25:15.2975195Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:15.2979040Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:15.297669] 2025-08-26T20:25:21.8079164Z 2025-08-26T20:25:21.8080081Z inductor/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_1.1_55e15b29302a9ad4_.log 2025-08-26T20:25:21.8080837Z 2025-08-26T20:25:21.8083056Z Running inductor/test_ordered_set 1/1 ... [2025-08-26 20:25:21.808129] 2025-08-26T20:25:21.8083661Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:21.8087149Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_ordered_set.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:21.808469] 2025-08-26T20:25:24.8021721Z 2025-08-26T20:25:24.8023036Z inductor/test_ordered_set 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ordered_set_1.1_4b77546f2388766f_.log 2025-08-26T20:25:24.8023781Z 2025-08-26T20:25:24.8026277Z Running export/test_db 1/1 ... [2025-08-26 20:25:24.802435] 2025-08-26T20:25:24.8026835Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:24.8030259Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_db.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:24.802773] 2025-08-26T20:25:27.9712897Z 2025-08-26T20:25:27.9713767Z export/test_db 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_db_1.1_bcc3820297923504_.log 2025-08-26T20:25:27.9714518Z Running 0 items in this shard: 2025-08-26T20:25:27.9714713Z 2025-08-26T20:25:27.9716935Z Running dynamo/test_compile 1/1 ... [2025-08-26 20:25:27.971522] 2025-08-26T20:25:27.9717437Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:27.9720454Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_compile.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:27.971834] 2025-08-26T20:25:31.1550810Z 2025-08-26T20:25:31.1551670Z dynamo/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compile_1.1_09d512d6f580890a_.log 2025-08-26T20:25:31.1552377Z 2025-08-26T20:25:31.1554366Z Running inductor/test_dependencies 1/1 ... [2025-08-26 20:25:31.155271] 2025-08-26T20:25:31.1554970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:31.1559990Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_dependencies.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:31.155670] 2025-08-26T20:25:37.7489810Z 2025-08-26T20:25:37.7490837Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_491a03651195b972_.log 2025-08-26T20:25:37.7491661Z 2025-08-26T20:25:37.7493802Z Running dynamo/test_guard_serialization 1/1 ... [2025-08-26 20:25:37.749196] 2025-08-26T20:25:37.7494305Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:37.7497304Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_guard_serialization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:37.749523] 2025-08-26T20:25:44.2208684Z 2025-08-26T20:25:44.2210079Z dynamo/test_guard_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_serialization_1.1_b0946cfc8cd9f703_.log 2025-08-26T20:25:44.2210883Z 2025-08-26T20:25:44.2212932Z Running dynamo/test_install_free_tensors 1/1 ... [2025-08-26 20:25:44.221062] 2025-08-26T20:25:44.2213827Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:44.2217237Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_install_free_tensors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:44.221452] 2025-08-26T20:25:47.4132756Z 2025-08-26T20:25:47.4134275Z dynamo/test_install_free_tensors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_install_free_tensors_1.1_51e92f654d64f28d_.log 2025-08-26T20:25:47.4135069Z 2025-08-26T20:25:47.4136330Z Running dynamo/test_after_aot 1/1 ... [2025-08-26 20:25:47.413454] 2025-08-26T20:25:47.4137053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:47.4140339Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_after_aot.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:47.413786] 2025-08-26T20:25:50.6035514Z 2025-08-26T20:25:50.6036591Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_3b1102ad20f19c4c_.log 2025-08-26T20:25:50.6037356Z 2025-08-26T20:25:50.6039734Z Running inductor/test_layout_optim 1/1 ... [2025-08-26 20:25:50.603782] 2025-08-26T20:25:50.6040222Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:50.6043195Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_layout_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:50.604108] 2025-08-26T20:25:57.1074089Z 2025-08-26T20:25:57.1075373Z inductor/test_layout_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_layout_optim_1.1_febfcf5ce8102458_.log 2025-08-26T20:25:57.1076115Z 2025-08-26T20:25:57.1077914Z Running export/test_passes 1/1 ... [2025-08-26 20:25:57.107629] 2025-08-26T20:25:57.1078347Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:25:57.1081497Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:57.107950] 2025-08-26T20:26:00.9772432Z 2025-08-26T20:26:00.9773368Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_f6d729d06cc31a58_.log 2025-08-26T20:26:00.9774250Z Running 0 items in this shard: 2025-08-26T20:26:00.9774463Z 2025-08-26T20:26:00.9776572Z Running inductor/test_mkldnn_pattern_matcher 1/1 ... [2025-08-26 20:26:00.977489] 2025-08-26T20:26:00.9777132Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:26:00.9780467Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:00.977824] 2025-08-26T20:26:07.9251039Z 2025-08-26T20:26:07.9252150Z inductor/test_mkldnn_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_07ac3d5ec342ce2b_.log 2025-08-26T20:26:07.9253276Z 2025-08-26T20:26:07.9254932Z Running dynamo/test_sources 1/1 ... [2025-08-26 20:26:07.925310] 2025-08-26T20:26:07.9255368Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:26:07.9259697Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_sources.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:07.925657] 2025-08-26T20:26:10.8630259Z 2025-08-26T20:26:10.8631105Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_e2c0cd09a6f488a9_.log 2025-08-26T20:26:10.8631800Z 2025-08-26T20:26:10.8634582Z Running inductor/test_padding 1/1 ... [2025-08-26 20:26:10.863271] 2025-08-26T20:26:10.8635055Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:26:10.8638342Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_padding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:10.863604] 2025-08-26T20:26:17.2912760Z 2025-08-26T20:26:17.2913786Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_b7e1be6e75eec2f4_.log 2025-08-26T20:26:17.2914567Z 2025-08-26T20:26:17.2916408Z Running export/test_export_opinfo 1/1 ... [2025-08-26 20:26:17.291482] 2025-08-26T20:26:17.2916922Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:26:17.2920371Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:17.291799] 2025-08-26T20:26:21.5617563Z 2025-08-26T20:26:21.5618708Z export/test_export_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_opinfo_1.1_3c5e7f5d56e1547c_.log 2025-08-26T20:26:21.5619548Z Running 0 items in this shard: 2025-08-26T20:26:21.5619766Z 2025-08-26T20:26:21.5621281Z Running inductor/test_needs_exact_strides 1/1 ... [2025-08-26 20:26:21.561942] 2025-08-26T20:26:21.5621837Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:26:21.5625256Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_needs_exact_strides.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:21.562271] 2025-08-26T20:26:28.0786366Z 2025-08-26T20:26:28.0787486Z inductor/test_needs_exact_strides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_needs_exact_strides_1.1_76b56432d1b0800d_.log 2025-08-26T20:26:28.0788368Z 2025-08-26T20:26:28.0789756Z Running nn/test_multihead_attention 1/1 ... [2025-08-26 20:26:28.078782] 2025-08-26T20:26:28.0790255Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:26:28.0793565Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:28.079106] 2025-08-26T20:26:31.1975337Z 2025-08-26T20:26:31.1976280Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_60b093d2b1ca553f_.log 2025-08-26T20:26:31.1977144Z Running 0 items in this shard: 2025-08-26T20:26:31.1977359Z 2025-08-26T20:26:31.1978812Z Running inductor/test_minifier_isolate 1/1 ... [2025-08-26 20:26:31.197704] 2025-08-26T20:26:31.1979515Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:26:31.1982415Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_minifier_isolate.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:31.198020] 2025-08-26T20:26:37.7477714Z 2025-08-26T20:26:37.7478984Z inductor/test_minifier_isolate 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_isolate_1.1_06c9abde5b6c36f5_.log 2025-08-26T20:26:37.7479874Z 2025-08-26T20:26:37.7481743Z Running export/test_upgrader 1/1 ... [2025-08-26 20:26:37.747978] 2025-08-26T20:26:37.7482463Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:26:37.7485985Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_upgrader.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:37.748318] 2025-08-26T20:26:40.6769970Z 2025-08-26T20:26:40.6771185Z export/test_upgrader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_upgrader_1.1_ccfe61c3b187d511_.log 2025-08-26T20:26:40.6771898Z 2025-08-26T20:26:40.6774120Z Running export/test_export 1/1 ... [2025-08-26 20:26:40.677234] 2025-08-26T20:26:40.6774794Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:26:40.6778333Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:40.677560] 2025-08-26T20:26:47.4542237Z 2025-08-26T20:26:47.4543168Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_f3e2ab0516a342c3_.log 2025-08-26T20:26:47.4543989Z Running 0 items in this shard: 2025-08-26T20:26:47.4544201Z 2025-08-26T20:26:47.4546269Z Running dynamo/test_backward_higher_order_ops 1/1 ... [2025-08-26 20:26:47.454431] 2025-08-26T20:26:47.4546794Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:26:47.4549873Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_backward_higher_order_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:47.454739] 2025-08-26T20:26:50.6240049Z 2025-08-26T20:26:50.6241207Z dynamo/test_backward_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backward_higher_order_ops_1.1_b14f2e92c11c683c_.log 2025-08-26T20:26:50.6242070Z 2025-08-26T20:26:50.6243895Z Running export/test_swap 1/1 ... [2025-08-26 20:26:50.624220] 2025-08-26T20:26:50.6244345Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:26:50.6247627Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_swap.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:50.624543] 2025-08-26T20:26:53.7950611Z 2025-08-26T20:26:53.7951459Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_2402dd9a45db5872_.log 2025-08-26T20:26:53.7952241Z Running 0 items in this shard: 2025-08-26T20:26:53.7952437Z 2025-08-26T20:26:53.7954519Z Running dynamo/test_export 1/1 ... [2025-08-26 20:26:53.795278] 2025-08-26T20:26:53.7955116Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:26:53.7958510Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_export.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:53.795627] 2025-08-26T20:26:57.0493969Z 2025-08-26T20:26:57.0494870Z dynamo/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_1.1_338f5b941de9118f_.log 2025-08-26T20:26:57.0495534Z 2025-08-26T20:26:57.0497559Z Running dynamo/test_flat_apply 1/1 ... [2025-08-26 20:26:57.049597] 2025-08-26T20:26:57.0497992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:26:57.0501458Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:57.049921] 2025-08-26T20:27:00.2254463Z 2025-08-26T20:27:00.2255500Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_575e21962e8dde70_.log 2025-08-26T20:27:00.2256539Z 2025-08-26T20:27:00.2259218Z Running dynamo/test_verify_correctness 1/1 ... [2025-08-26 20:27:00.225743] 2025-08-26T20:27:00.2259759Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:00.2262791Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:00.226066] 2025-08-26T20:27:03.4172253Z 2025-08-26T20:27:03.4173277Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_0801849ed816634b_.log 2025-08-26T20:27:03.4174132Z 2025-08-26T20:27:03.4176502Z Running inductor/test_unbacked_symints 1/1 ... [2025-08-26 20:27:03.417473] 2025-08-26T20:27:03.4177017Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:03.4180340Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_unbacked_symints.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:03.417814] 2025-08-26T20:27:09.8642948Z 2025-08-26T20:27:09.8644300Z inductor/test_unbacked_symints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_unbacked_symints_1.1_5fe515c9f183bead_.log 2025-08-26T20:27:09.8645102Z 2025-08-26T20:27:09.8647552Z Running dynamo/test_cudagraphs 1/1 ... [2025-08-26 20:27:09.864540] 2025-08-26T20:27:09.8648085Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:09.8651341Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:09.864864] 2025-08-26T20:27:13.0310422Z 2025-08-26T20:27:13.0311607Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_98483abcbaad69c8_.log 2025-08-26T20:27:13.0312317Z 2025-08-26T20:27:13.0314271Z Running export/test_unflatten 1/1 ... [2025-08-26 20:27:13.031210] 2025-08-26T20:27:13.0314746Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:13.0317506Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:13.031531] 2025-08-26T20:27:16.1498145Z 2025-08-26T20:27:16.1499284Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_85ba29e1b2a1c996_.log 2025-08-26T20:27:16.1500155Z Running 0 items in this shard: 2025-08-26T20:27:16.1500690Z 2025-08-26T20:27:16.1501518Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2025-08-26 20:27:16.149990] 2025-08-26T20:27:16.1502012Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:16.1505124Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:16.150288] 2025-08-26T20:27:23.1351224Z 2025-08-26T20:27:23.1352681Z inductor/test_efficient_conv_bn_eval 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_efficient_conv_bn_eval_1.1_b97d7deff639538e_.log 2025-08-26T20:27:23.1353597Z 2025-08-26T20:27:23.1355532Z Running export/test_nativert 1/1 ... [2025-08-26 20:27:23.135358] 2025-08-26T20:27:23.1355984Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:23.1359397Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_nativert.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:23.135703] 2025-08-26T20:27:29.5692386Z 2025-08-26T20:27:29.5693323Z export/test_nativert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_nativert_1.1_a022a861e86a2a28_.log 2025-08-26T20:27:29.5694138Z 2025-08-26T20:27:29.5696439Z Running inductor/test_mmdecomp 1/1 ... [2025-08-26 20:27:29.569473] 2025-08-26T20:27:29.5696983Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:29.5700316Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_mmdecomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:29.569807] 2025-08-26T20:27:36.1930397Z 2025-08-26T20:27:36.1931693Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_764174ddbedd0b62_.log 2025-08-26T20:27:36.1932531Z Running 0 items in this shard: 2025-08-26T20:27:36.1932724Z 2025-08-26T20:27:36.1934594Z Running dynamo/test_unspec 1/1 ... [2025-08-26 20:27:36.193285] 2025-08-26T20:27:36.1935022Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:36.1938554Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_unspec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:36.193638] 2025-08-26T20:27:39.4217826Z 2025-08-26T20:27:39.4218721Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_4832670c7e5eeef5_.log 2025-08-26T20:27:39.4219455Z 2025-08-26T20:27:39.4221919Z Running dynamo/test_compiler_bisector 1/1 ... [2025-08-26 20:27:39.422012] 2025-08-26T20:27:39.4222435Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:39.4225674Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:39.422354] 2025-08-26T20:27:45.8187306Z 2025-08-26T20:27:45.8188801Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_3e6f8de44cfa27e4_.log 2025-08-26T20:27:45.8189714Z 2025-08-26T20:27:45.8192393Z Running dynamo/test_graph_deduplication 1/1 ... [2025-08-26 20:27:45.818958] 2025-08-26T20:27:45.8193042Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:45.8196834Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:45.819346] 2025-08-26T20:27:48.9877310Z 2025-08-26T20:27:48.9878307Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_b8863204e8ea103d_.log 2025-08-26T20:27:48.9879114Z 2025-08-26T20:27:48.9881171Z Running export/test_schema 1/1 ... [2025-08-26 20:27:48.987951] 2025-08-26T20:27:48.9881666Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:48.9885163Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:48.988286] 2025-08-26T20:27:52.2067944Z 2025-08-26T20:27:52.2069040Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_23c4f3b83e36a618_.log 2025-08-26T20:27:52.2069869Z Running 0 items in this shard: 2025-08-26T20:27:52.2070077Z 2025-08-26T20:27:52.2071951Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-08-26 20:27:52.207022] 2025-08-26T20:27:52.2072512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:52.2075820Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_input_attr_tracking.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:52.207351] 2025-08-26T20:27:55.3734140Z 2025-08-26T20:27:55.3735462Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_409d4e9c53b70b6a_.log 2025-08-26T20:27:55.3736275Z 2025-08-26T20:27:55.3737816Z Running nn/test_pruning 1/1 ... [2025-08-26 20:27:55.373614] 2025-08-26T20:27:55.3738500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:55.3742050Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_pruning.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:55.373943] 2025-08-26T20:27:58.4925190Z 2025-08-26T20:27:58.4926036Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_2e89733db0505196_.log 2025-08-26T20:27:58.4926886Z Running 0 items in this shard: 2025-08-26T20:27:58.4927094Z 2025-08-26T20:27:58.4929616Z Running test_pruning_op 1/1 ... [2025-08-26 20:27:58.492777] 2025-08-26T20:27:58.4930093Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:27:58.4933412Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_pruning_op.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:58.493120] 2025-08-26T20:28:01.6616902Z 2025-08-26T20:28:01.6617740Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_4f3282a0e7290e44_.log 2025-08-26T20:28:01.6618483Z Running 0 items in this shard: 2025-08-26T20:28:01.6618692Z 2025-08-26T20:28:01.6620843Z Running export/test_hop 1/1 ... [2025-08-26 20:28:01.661921] 2025-08-26T20:28:01.6621344Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:01.6625118Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:01.662266] 2025-08-26T20:28:05.5318267Z 2025-08-26T20:28:05.5319517Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_ec4290aa2c478cf5_.log 2025-08-26T20:28:05.5321125Z Running 0 items in this shard: 2025-08-26T20:28:05.5321466Z 2025-08-26T20:28:05.5324517Z Running export/test_converter 1/1 ... [2025-08-26 20:28:05.532252] 2025-08-26T20:28:05.5325208Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:05.5329899Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_converter.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:05.532649] 2025-08-26T20:28:08.9516716Z 2025-08-26T20:28:08.9517588Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_9cb964349223d228_.log 2025-08-26T20:28:08.9518413Z Running 0 items in this shard: 2025-08-26T20:28:08.9518859Z 2025-08-26T20:28:08.9520629Z Running dynamo/test_torchrec 1/1 ... [2025-08-26 20:28:08.951885] 2025-08-26T20:28:08.9521180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:08.9525172Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:08.952247] 2025-08-26T20:28:12.1341156Z 2025-08-26T20:28:12.1342511Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_4de10efb0306d119_.log 2025-08-26T20:28:12.1343803Z 2025-08-26T20:28:12.1346850Z Running export/test_pass_infra 1/1 ... [2025-08-26 20:28:12.134473] 2025-08-26T20:28:12.1347581Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:12.1352077Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_pass_infra.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:12.134870] 2025-08-26T20:28:15.2033004Z 2025-08-26T20:28:15.2034444Z export/test_pass_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_pass_infra_1.1_f2e7419a8f39445a_.log 2025-08-26T20:28:15.2035913Z Running 0 items in this shard: 2025-08-26T20:28:15.2036204Z 2025-08-26T20:28:15.2038017Z Running dynamo/test_guard_manager 1/1 ... [2025-08-26 20:28:15.203618] 2025-08-26T20:28:15.2038717Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:15.2043693Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:15.204038] 2025-08-26T20:28:18.1807794Z 2025-08-26T20:28:18.1808746Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_5e90ebd007f4dd3c_.log 2025-08-26T20:28:18.1809482Z 2025-08-26T20:28:18.1812158Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-08-26 20:28:18.181035] 2025-08-26T20:28:18.1812680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:18.1816444Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:18.181354] 2025-08-26T20:28:24.6464883Z 2025-08-26T20:28:24.6466092Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_ab03f0f3f1e733af_.log 2025-08-26T20:28:24.6466930Z 2025-08-26T20:28:24.6468675Z Running dynamo/test_exc 1/1 ... [2025-08-26 20:28:24.646688] 2025-08-26T20:28:24.6469316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:24.6472655Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_exc.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:24.647000] 2025-08-26T20:28:27.6267896Z 2025-08-26T20:28:27.6268686Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_3d994eba1a01a542_.log 2025-08-26T20:28:27.6269332Z 2025-08-26T20:28:27.6271302Z Running export/test_lift_unlift 1/1 ... [2025-08-26 20:28:27.626964] 2025-08-26T20:28:27.6271764Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:27.6274932Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_lift_unlift.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:27.627260] 2025-08-26T20:28:30.7456412Z 2025-08-26T20:28:30.7457391Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_e05b5b7436e0cc37_.log 2025-08-26T20:28:30.7458217Z Running 0 items in this shard: 2025-08-26T20:28:30.7458428Z 2025-08-26T20:28:30.7460758Z Running export/test_serialize 1/1 ... [2025-08-26 20:28:30.745864] 2025-08-26T20:28:30.7461255Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:30.7464055Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_serialize.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:30.746188] 2025-08-26T20:28:34.0648542Z 2025-08-26T20:28:34.0649495Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_d15ca90e60d721f9_.log 2025-08-26T20:28:34.0650442Z Running 0 items in this shard: 2025-08-26T20:28:34.0650651Z 2025-08-26T20:28:34.0652481Z Running dynamo/test_hooks 1/1 ... [2025-08-26 20:28:34.065072] 2025-08-26T20:28:34.0652914Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:34.0656459Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:34.065397] 2025-08-26T20:28:37.3164454Z 2025-08-26T20:28:37.3165514Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_907f5c2df966e717_.log 2025-08-26T20:28:37.3166195Z 2025-08-26T20:28:37.3168053Z Running dynamo/test_reorder_logs 1/1 ... [2025-08-26 20:28:37.316640] 2025-08-26T20:28:37.3168555Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:37.3171446Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_reorder_logs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:37.316939] 2025-08-26T20:28:40.4967574Z 2025-08-26T20:28:40.4968506Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_24269e2684ea46c3_.log 2025-08-26T20:28:40.4969218Z 2025-08-26T20:28:40.4971505Z Running export/test_verifier 1/1 ... [2025-08-26 20:28:40.496978] 2025-08-26T20:28:40.4971937Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:40.4975136Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_verifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:40.497298] 2025-08-26T20:28:43.5656912Z 2025-08-26T20:28:43.5658337Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_5a42cdcc3f1336fc_.log 2025-08-26T20:28:43.5659816Z Running 0 items in this shard: 2025-08-26T20:28:43.5660180Z 2025-08-26T20:28:43.5662766Z Running export/test_sparse 1/1 ... [2025-08-26 20:28:43.566068] 2025-08-26T20:28:43.5663446Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:43.5667706Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_sparse.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:43.566477] 2025-08-26T20:28:46.7351035Z 2025-08-26T20:28:46.7352257Z export/test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.1_4a15b60eb62ed0d6_.log 2025-08-26T20:28:46.7353382Z Running 0 items in this shard: 2025-08-26T20:28:46.7353649Z 2025-08-26T20:28:46.7355523Z Running dynamo/test_python_autograd 1/1 ... [2025-08-26 20:28:46.735321] 2025-08-26T20:28:46.7356126Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:46.7359457Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_python_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:46.735670] 2025-08-26T20:28:49.8906598Z 2025-08-26T20:28:49.8907888Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_d239d7c4ac10be91_.log 2025-08-26T20:28:49.8908634Z 2025-08-26T20:28:49.8910049Z Running test_ao_sparsity 1/1 ... [2025-08-26 20:28:49.890826] 2025-08-26T20:28:49.8910728Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:49.8913970Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ao_sparsity.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:49.891153] 2025-08-26T20:28:53.4101641Z 2025-08-26T20:28:53.4102798Z test_ao_sparsity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ao_sparsity_1.1_fedf99f1a836c358_.log 2025-08-26T20:28:53.4103537Z Running 0 items in this shard: 2025-08-26T20:28:53.4103745Z 2025-08-26T20:28:53.4105439Z Running test_package 1/1 ... [2025-08-26 20:28:53.410378] 2025-08-26T20:28:53.4106074Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:53.4109667Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:53.410707] 2025-08-26T20:28:56.7293400Z 2025-08-26T20:28:56.7294366Z test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_package_1.1_6a55c8a0ab8f71ec_.log 2025-08-26T20:28:56.7295096Z Running 0 items in this shard: 2025-08-26T20:28:56.7295291Z 2025-08-26T20:28:56.7297351Z Running profiler/test_kineto 1/1 ... [2025-08-26 20:28:56.729557] 2025-08-26T20:28:56.7297859Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:56.7300867Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_kineto.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:56.729867] 2025-08-26T20:28:59.7984175Z 2025-08-26T20:28:59.7985238Z profiler/test_kineto 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_kineto_1.1_549e4955b39f9b82_.log 2025-08-26T20:28:59.7986068Z Running 0 items in this shard: 2025-08-26T20:28:59.7986475Z 2025-08-26T20:28:59.7986774Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-08-26 20:28:59.798428] 2025-08-26T20:28:59.7987262Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:28:59.7990257Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:59.798791] 2025-08-26T20:29:06.4217635Z 2025-08-26T20:29:06.4219026Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_0f8a78677f77388e_.log 2025-08-26T20:29:06.4220099Z Running 0 items in this shard: 2025-08-26T20:29:06.4220314Z 2025-08-26T20:29:06.4221093Z Running test_comparison_utils 1/1 ... [2025-08-26 20:29:06.421940] 2025-08-26T20:29:06.4221720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:06.4224817Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_comparison_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:06.422234] 2025-08-26T20:29:09.5406471Z 2025-08-26T20:29:09.5407452Z test_comparison_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_comparison_utils_1.1_3929814d5ec896a5_.log 2025-08-26T20:29:09.5408343Z Running 0 items in this shard: 2025-08-26T20:29:09.5408576Z 2025-08-26T20:29:09.5410628Z Running functorch/test_ac_logging 1/1 ... [2025-08-26 20:29:09.540887] 2025-08-26T20:29:09.5411236Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:09.5414925Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ac_logging.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:09.541243] 2025-08-26T20:29:12.6095409Z 2025-08-26T20:29:12.6096303Z functorch/test_ac_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_logging_1.1_361481b84eb71114_.log 2025-08-26T20:29:12.6097154Z Running 0 items in this shard: 2025-08-26T20:29:12.6097367Z 2025-08-26T20:29:12.6099815Z Running test_mkl_verbose 1/1 ... [2025-08-26 20:29:12.609821] 2025-08-26T20:29:12.6100238Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:12.6103795Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkl_verbose.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:12.610161] 2025-08-26T20:29:15.6785679Z 2025-08-26T20:29:15.6786896Z test_mkl_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkl_verbose_1.1_1b063c840f797c9a_.log 2025-08-26T20:29:15.6788256Z Running 0 items in this shard: 2025-08-26T20:29:15.6788619Z 2025-08-26T20:29:15.6791309Z Running test_decomp 1/1 ... [2025-08-26 20:29:15.678962] 2025-08-26T20:29:15.6791905Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:15.6796825Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:15.679362] 2025-08-26T20:29:21.3012092Z 2025-08-26T20:29:21.3013308Z test_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.1_902cfd6651f2e97a_.log 2025-08-26T20:29:21.3014616Z Running 0 items in this shard: 2025-08-26T20:29:21.3014974Z 2025-08-26T20:29:21.3017590Z Running test_mkldnn_verbose 1/1 ... [2025-08-26 20:29:21.301550] 2025-08-26T20:29:21.3018320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:21.3021155Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn_verbose.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:21.301890] 2025-08-26T20:29:24.4203673Z 2025-08-26T20:29:24.4204808Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_b994b13eb3cf062c_.log 2025-08-26T20:29:24.4205839Z Running 0 items in this shard: 2025-08-26T20:29:24.4206053Z 2025-08-26T20:29:24.4207709Z Running test_utils_config_module 1/1 ... [2025-08-26 20:29:24.420588] 2025-08-26T20:29:24.4208165Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:24.4211541Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_utils_config_module.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:24.420920] 2025-08-26T20:29:27.5393472Z 2025-08-26T20:29:27.5394380Z test_utils_config_module 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_config_module_1.1_89217c6d27a31b6b_.log 2025-08-26T20:29:27.5395203Z Running 0 items in this shard: 2025-08-26T20:29:27.5395414Z 2025-08-26T20:29:27.5398146Z Running test_ops_jit 1/2 ... [2025-08-26 20:29:27.539586] 2025-08-26T20:29:27.5398814Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:27.5402833Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_jit.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:27.539966] 2025-08-26T20:29:31.8099617Z 2025-08-26T20:29:31.8100721Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_8fa0e0f3ba762296_.log 2025-08-26T20:29:31.8101458Z Running 0 items in this shard: 2025-08-26T20:29:31.8101656Z 2025-08-26T20:29:31.8103314Z Running test_ops_jit 2/2 ... [2025-08-26 20:29:31.810153] 2025-08-26T20:29:31.8103981Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:31.8107047Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_jit.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:31.810472] 2025-08-26T20:29:36.0804191Z 2025-08-26T20:29:36.0805246Z test_ops_jit 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_2.2_0194e4a4e830eeab_.log 2025-08-26T20:29:36.0805959Z Running 0 items in this shard: 2025-08-26T20:29:36.0806150Z 2025-08-26T20:29:36.0808077Z Running test_dataloader 1/1 ... [2025-08-26 20:29:36.080629] 2025-08-26T20:29:36.0808783Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:36.0812128Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_dataloader.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:36.080951] 2025-08-26T20:29:39.2995241Z 2025-08-26T20:29:39.2996360Z test_dataloader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_1.1_e80711801efe0fcc_.log 2025-08-26T20:29:39.2997113Z Running 0 items in this shard: 2025-08-26T20:29:39.2997327Z 2025-08-26T20:29:39.2999371Z Running test_modules 1/2 ... [2025-08-26 20:29:39.299755] 2025-08-26T20:29:39.2999971Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:39.3003380Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:39.300085] 2025-08-26T20:29:43.8705036Z 2025-08-26T20:29:43.8705857Z test_modules 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.2_aac7b03a41806465_.log 2025-08-26T20:29:43.8706582Z Running 0 items in this shard: 2025-08-26T20:29:43.8706778Z 2025-08-26T20:29:43.8710446Z Running test_matmul_cuda 1/1 ... [2025-08-26 20:29:43.870806] 2025-08-26T20:29:43.8710945Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:43.8714689Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:43.871183] 2025-08-26T20:29:46.9716723Z 2025-08-26T20:29:46.9717997Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_c9badb6d84ceed07_.log 2025-08-26T20:29:46.9719662Z Running 0 items in this shard: 2025-08-26T20:29:46.9719995Z 2025-08-26T20:29:46.9722634Z Running torch_np/test_dtype 1/1 ... [2025-08-26 20:29:46.972034] 2025-08-26T20:29:46.9723179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:46.9727081Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_dtype.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:46.972443] 2025-08-26T20:29:50.0408026Z 2025-08-26T20:29:50.0408941Z torch_np/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_dtype_1.1_7e6f66a7a5c8a13a_.log 2025-08-26T20:29:50.0409731Z Running 0 items in this shard: 2025-08-26T20:29:50.0409925Z 2025-08-26T20:29:50.0412293Z Running test_datapipe 1/1 ... [2025-08-26 20:29:50.041062] 2025-08-26T20:29:50.0412705Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:50.0415921Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_datapipe.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:50.041384] 2025-08-26T20:29:53.1598637Z 2025-08-26T20:29:53.1599859Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_b948181548149f20_.log 2025-08-26T20:29:53.1601206Z Running 0 items in this shard: 2025-08-26T20:29:53.1601515Z 2025-08-26T20:29:53.1603536Z Running test_foreach 1/1 ... [2025-08-26 20:29:53.160166] 2025-08-26T20:29:53.1604184Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:29:53.1608633Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_foreach.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:53.160556] 2025-08-26T20:30:01.3860559Z 2025-08-26T20:30:01.3861398Z test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_foreach_1.1_5953d9fa413c960a_.log 2025-08-26T20:30:01.3862131Z Running 0 items in this shard: 2025-08-26T20:30:01.3862326Z 2025-08-26T20:30:01.3864731Z Running test_flop_counter 1/1 ... [2025-08-26 20:30:01.386279] 2025-08-26T20:30:01.3865209Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:01.3868716Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_flop_counter.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:01.386626] 2025-08-26T20:30:04.6051045Z 2025-08-26T20:30:04.6052095Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_ce1bcf83dd670f56_.log 2025-08-26T20:30:04.6053101Z Running 0 items in this shard: 2025-08-26T20:30:04.6053306Z 2025-08-26T20:30:04.6056064Z Running test_expanded_weights 1/1 ... [2025-08-26 20:30:04.605343] 2025-08-26T20:30:04.6056511Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:04.6059270Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_expanded_weights.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:04.605686] 2025-08-26T20:30:08.8256856Z 2025-08-26T20:30:08.8258284Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_1f90e5b068d8681d_.log 2025-08-26T20:30:08.8259121Z Running 0 items in this shard: 2025-08-26T20:30:08.8259314Z 2025-08-26T20:30:08.8261235Z Running test_file_check 1/1 ... [2025-08-26 20:30:08.825918] 2025-08-26T20:30:08.8261999Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:08.8265421Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_file_check.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:08.826256] 2025-08-26T20:30:11.9448549Z 2025-08-26T20:30:11.9449688Z test_file_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_file_check_1.1_04b64bcb29227931_.log 2025-08-26T20:30:11.9450640Z Running 0 items in this shard: 2025-08-26T20:30:11.9450883Z 2025-08-26T20:30:11.9451306Z Running test_functionalization 1/1 ... [2025-08-26 20:30:11.944965] 2025-08-26T20:30:11.9452030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:11.9455760Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functionalization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:11.945304] 2025-08-26T20:30:15.0137203Z 2025-08-26T20:30:15.0138454Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_a9fddf7014573063_.log 2025-08-26T20:30:15.0139284Z Running 0 items in this shard: 2025-08-26T20:30:15.0139494Z 2025-08-26T20:30:15.0141244Z Running test_testing 1/1 ... [2025-08-26 20:30:15.013951] 2025-08-26T20:30:15.0141960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:15.0145297Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_testing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:15.014275] 2025-08-26T20:30:19.3842513Z 2025-08-26T20:30:19.3843631Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_58cae5bf07597272_.log 2025-08-26T20:30:19.3844377Z Running 0 items in this shard: 2025-08-26T20:30:19.3844601Z 2025-08-26T20:30:19.3846748Z Running backends/xeon/test_launch 1/1 ... [2025-08-26 20:30:19.384487] 2025-08-26T20:30:19.3847219Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:19.3850192Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'backends/xeon/test_launch.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:19.384810] 2025-08-26T20:30:22.5030421Z 2025-08-26T20:30:22.5031454Z backends/xeon/test_launch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/backends.xeon.test_launch_1.1_4846f461fa62f88e_.log 2025-08-26T20:30:22.5032301Z Running 0 items in this shard: 2025-08-26T20:30:22.5032510Z 2025-08-26T20:30:22.5034602Z Running functorch/test_ops 1/8 ... [2025-08-26 20:30:22.503286] 2025-08-26T20:30:22.5035271Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:22.5038324Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:22.503616] 2025-08-26T20:30:28.6762057Z 2025-08-26T20:30:28.6762912Z functorch/test_ops 1/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.8_3b3d68a528c3ab43_.log 2025-08-26T20:30:28.6763693Z Running 0 items in this shard: 2025-08-26T20:30:28.6764112Z 2025-08-26T20:30:28.6765705Z Running functorch/test_ops 3/8 ... [2025-08-26 20:30:28.676394] 2025-08-26T20:30:28.6766135Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:28.6769442Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=3', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:28.676713] 2025-08-26T20:30:34.8491986Z 2025-08-26T20:30:34.8493247Z functorch/test_ops 3/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_3.8_db3cbcd27ae024ba_.log 2025-08-26T20:30:34.8494627Z Running 0 items in this shard: 2025-08-26T20:30:34.8494970Z 2025-08-26T20:30:34.8498290Z Running functorch/test_ops 5/8 ... [2025-08-26 20:30:34.849648] 2025-08-26T20:30:34.8498962Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:34.8503742Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=5', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:34.850046] 2025-08-26T20:30:41.0726956Z 2025-08-26T20:30:41.0727847Z functorch/test_ops 5/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_5.8_44a4917fa26f6826_.log 2025-08-26T20:30:41.0728672Z Running 0 items in this shard: 2025-08-26T20:30:41.0728866Z 2025-08-26T20:30:41.0731028Z Running functorch/test_ops 7/8 ... [2025-08-26 20:30:41.072945] 2025-08-26T20:30:41.0731446Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:41.0734617Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:41.073268] 2025-08-26T20:30:47.2958939Z 2025-08-26T20:30:47.2959795Z functorch/test_ops 7/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_7.8_a71e92015863b4ef_.log 2025-08-26T20:30:47.2960578Z Running 0 items in this shard: 2025-08-26T20:30:47.2960770Z 2025-08-26T20:30:47.2962867Z Running test_openmp 1/1 ... [2025-08-26 20:30:47.296090] 2025-08-26T20:30:47.2963300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:47.2966236Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_openmp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:47.296406] 2025-08-26T20:30:50.4149328Z 2025-08-26T20:30:50.4150473Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_096b9d1c231c7068_.log 2025-08-26T20:30:50.4151198Z Running 0 items in this shard: 2025-08-26T20:30:50.4151426Z 2025-08-26T20:30:50.4153528Z Running test_fx_experimental 1/1 ... [2025-08-26 20:30:50.415186] 2025-08-26T20:30:50.4153969Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:50.4157565Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_experimental.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:50.415533] 2025-08-26T20:30:54.8857857Z 2025-08-26T20:30:54.8858825Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_c4d1718e12ae62ac_.log 2025-08-26T20:30:54.8859613Z Running 0 items in this shard: 2025-08-26T20:30:54.8859835Z 2025-08-26T20:30:54.8862205Z Running torch_np/test_nep50_examples 1/1 ... [2025-08-26 20:30:54.886042] 2025-08-26T20:30:54.8862682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:54.8865978Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_nep50_examples.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:54.886352] 2025-08-26T20:30:58.1549329Z 2025-08-26T20:30:58.1550580Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_503ecded2c56a109_.log 2025-08-26T20:30:58.1551522Z Running 0 items in this shard: 2025-08-26T20:30:58.1551716Z 2025-08-26T20:30:58.1553229Z Running test_module_tracker 1/1 ... [2025-08-26 20:30:58.155146] 2025-08-26T20:30:58.1553662Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:30:58.1557032Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_module_tracker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:58.155491] 2025-08-26T20:31:01.2239144Z 2025-08-26T20:31:01.2240047Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_c42faff990e43c3c_.log 2025-08-26T20:31:01.2240831Z Running 0 items in this shard: 2025-08-26T20:31:01.2241040Z 2025-08-26T20:31:01.2243007Z Running test_ops 1/8 ... [2025-08-26 20:31:01.224134] 2025-08-26T20:31:01.2243484Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:31:01.2246592Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:31:01.224453] 2025-08-26T20:31:14.8577842Z 2025-08-26T20:31:14.8578612Z test_ops 1/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.8_263b5f006401cd2e_.log 2025-08-26T20:31:14.8579313Z Running 0 items in this shard: 2025-08-26T20:31:14.8579508Z 2025-08-26T20:31:14.8581961Z Running test_ops 4/8 ... [2025-08-26 20:31:14.858034] 2025-08-26T20:31:14.8582418Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:31:14.8585976Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=4', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:31:14.858379] 2025-08-26T20:31:28.5424237Z 2025-08-26T20:31:28.5425454Z test_ops 4/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.8_8e7695f642238f79_.log 2025-08-26T20:31:28.5426669Z Running 0 items in this shard: 2025-08-26T20:31:28.5427016Z 2025-08-26T20:31:28.5429769Z Running test_ops 5/8 ... [2025-08-26 20:31:28.542800] 2025-08-26T20:31:28.5430365Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:31:28.5435162Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=5', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:31:28.543191] 2025-08-26T20:31:42.2255776Z 2025-08-26T20:31:42.2256819Z test_ops 5/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_5.8_2d7345baf81f951b_.log 2025-08-26T20:31:42.2257889Z Running 0 items in this shard: 2025-08-26T20:31:42.2258113Z 2025-08-26T20:31:43.0048584Z Uploading artifacts took 0.78 seconds 2025-08-26T20:31:43.0052297Z Running test_ops 7/8 ... [2025-08-26 20:31:43.005036] 2025-08-26T20:31:43.0052899Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:31:43.0057878Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:31:43.005482] 2025-08-26T20:31:56.6883994Z 2025-08-26T20:31:56.6885137Z test_ops 7/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_7.8_372a8434f9228b92_.log 2025-08-26T20:31:56.6886286Z Running 0 items in this shard: 2025-08-26T20:31:56.6886621Z 2025-08-26T20:31:56.6889141Z Running xpu/test_gemm 1/1 ... [2025-08-26 20:31:56.688678] 2025-08-26T20:31:56.6890478Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:31:56.6894345Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'xpu/test_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:31:56.689069] 2025-08-26T20:31:59.9979743Z 2025-08-26T20:31:59.9980557Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_49f3b9293bdc6824_.log 2025-08-26T20:31:59.9981299Z Running 0 items in this shard: 2025-08-26T20:31:59.9981490Z 2025-08-26T20:31:59.9983194Z Running xpu/test_conv 1/1 ... [2025-08-26 20:31:59.998160] 2025-08-26T20:31:59.9983637Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:31:59.9987861Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'xpu/test_conv.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:31:59.998491] 2025-08-26T20:32:03.4934118Z 2025-08-26T20:32:03.4934899Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_d44c18f8b8c73ca2_.log 2025-08-26T20:32:03.4935626Z Running 0 items in this shard: 2025-08-26T20:32:03.4935819Z 2025-08-26T20:32:03.4937458Z Running test_stateless 1/1 ... [2025-08-26 20:32:03.493595] 2025-08-26T20:32:03.4937936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:03.4941848Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_stateless.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:03.493940] 2025-08-26T20:32:06.6122644Z 2025-08-26T20:32:06.6123927Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_58d6d07aeb71f2fa_.log 2025-08-26T20:32:06.6125279Z Running 0 items in this shard: 2025-08-26T20:32:06.6125652Z 2025-08-26T20:32:06.6128900Z Running functorch/test_ac 1/1 ... [2025-08-26 20:32:06.612648] 2025-08-26T20:32:06.6129453Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:06.6132638Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:06.613005] 2025-08-26T20:32:13.0988758Z 2025-08-26T20:32:13.0996694Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_173d9ef776248ef3_.log 2025-08-26T20:32:13.0997936Z 2025-08-26T20:32:13.0998224Z Running distributions/test_constraints 1/1 ... [2025-08-26 20:32:13.099107] 2025-08-26T20:32:13.0998717Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:13.0999914Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'distributions/test_constraints.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:13.099454] 2025-08-26T20:32:16.2678596Z 2025-08-26T20:32:16.2679593Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_4a2ef9a15a45072e_.log 2025-08-26T20:32:16.2680569Z Running 0 items in this shard: 2025-08-26T20:32:16.2680814Z 2025-08-26T20:32:16.2682726Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-08-26 20:32:16.268073] 2025-08-26T20:32:16.2683228Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:16.2686295Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_ufuncs_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:16.268416] 2025-08-26T20:32:19.4368984Z 2025-08-26T20:32:19.4370421Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_d21d23df3e2756ea_.log 2025-08-26T20:32:19.4371924Z Running 0 items in this shard: 2025-08-26T20:32:19.4372197Z 2025-08-26T20:32:19.4374105Z Running test_out_dtype_op 1/1 ... [2025-08-26 20:32:19.437214] 2025-08-26T20:32:19.4374723Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:19.4379629Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_out_dtype_op.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:19.437637] 2025-08-26T20:32:22.9065424Z 2025-08-26T20:32:22.9066463Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_9035eb9d60768a99_.log 2025-08-26T20:32:22.9067322Z Running 0 items in this shard: 2025-08-26T20:32:22.9067519Z 2025-08-26T20:32:22.9069840Z Running test_ops_gradients 1/2 ... [2025-08-26 20:32:22.906793] 2025-08-26T20:32:22.9070295Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:22.9073539Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:22.907121] 2025-08-26T20:32:28.0783060Z 2025-08-26T20:32:28.0784242Z test_ops_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.2_0fb214304bf7cf3c_.log 2025-08-26T20:32:28.0785022Z Running 0 items in this shard: 2025-08-26T20:32:28.0785218Z 2025-08-26T20:32:28.0786844Z Running test_ops_fwd_gradients 1/2 ... [2025-08-26 20:32:28.078504] 2025-08-26T20:32:28.0787539Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:28.0791017Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:28.078823] 2025-08-26T20:32:32.7494143Z 2025-08-26T20:32:32.7495331Z test_ops_fwd_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.2_44779a420405ca10_.log 2025-08-26T20:32:32.7496140Z Running 0 items in this shard: 2025-08-26T20:32:32.7496354Z 2025-08-26T20:32:32.7497982Z Running test_ops_fwd_gradients 2/2 ... [2025-08-26 20:32:32.749603] 2025-08-26T20:32:32.7498684Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:32.7501521Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:32.749907] 2025-08-26T20:32:37.4206167Z 2025-08-26T20:32:37.4207326Z test_ops_fwd_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_2.2_f33f1e4c094c902c_.log 2025-08-26T20:32:37.4208140Z Running 0 items in this shard: 2025-08-26T20:32:37.4208336Z 2025-08-26T20:32:37.4209956Z Running lazy/test_step_closures 1/1 ... [2025-08-26 20:32:37.420790] 2025-08-26T20:32:37.4210617Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:37.4213847Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_step_closures.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:37.421102] 2025-08-26T20:32:40.5896251Z 2025-08-26T20:32:40.5897700Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_c1e0e35ffff10923_.log 2025-08-26T20:32:40.5898518Z Running 0 items in this shard: 2025-08-26T20:32:40.5898725Z 2025-08-26T20:32:40.5900253Z Running test_sparse_semi_structured 1/1 ... [2025-08-26 20:32:40.589838] 2025-08-26T20:32:40.5900929Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:40.5904017Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sparse_semi_structured.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:40.590150] 2025-08-26T20:32:47.2188139Z 2025-08-26T20:32:47.2189338Z test_sparse_semi_structured 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_semi_structured_1.1_0e3ceec2dfd4a716_.log 2025-08-26T20:32:47.2190454Z Running 0 items in this shard: 2025-08-26T20:32:47.2190672Z 2025-08-26T20:32:47.2190966Z Running nn/test_packed_sequence 1/1 ... [2025-08-26 20:32:47.218862] 2025-08-26T20:32:47.2191416Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:47.2195056Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_packed_sequence.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:47.219246] 2025-08-26T20:32:50.2894768Z 2025-08-26T20:32:50.2896029Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_6b7db48d0c13e27d_.log 2025-08-26T20:32:50.2896854Z Running 0 items in this shard: 2025-08-26T20:32:50.2897061Z 2025-08-26T20:32:50.2898743Z Running profiler/test_record_function 1/1 ... [2025-08-26 20:32:50.289693] 2025-08-26T20:32:50.2899412Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:50.2902668Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_record_function.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:50.290007] 2025-08-26T20:32:53.3595333Z 2025-08-26T20:32:53.3596613Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_de96971e11656ba7_.log 2025-08-26T20:32:53.3597512Z Running 0 items in this shard: 2025-08-26T20:32:53.3597728Z 2025-08-26T20:32:53.3601596Z Running nn/test_lazy_modules 1/1 ... [2025-08-26 20:32:53.359780] 2025-08-26T20:32:53.3602191Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:53.3603412Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_lazy_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:53.360125] 2025-08-26T20:32:56.4786168Z 2025-08-26T20:32:56.4787170Z nn/test_lazy_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_lazy_modules_1.1_60d10f070fc827fb_.log 2025-08-26T20:32:56.4788060Z Running 0 items in this shard: 2025-08-26T20:32:56.4788262Z 2025-08-26T20:32:56.4789603Z Running test_fx_reinplace_pass 1/1 ... [2025-08-26 20:32:56.478782] 2025-08-26T20:32:56.4790060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:56.4795058Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_reinplace_pass.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:56.479101] 2025-08-26T20:32:59.5976386Z 2025-08-26T20:32:59.5977471Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_60a68e88a28dd08b_.log 2025-08-26T20:32:59.5978509Z Running 0 items in this shard: 2025-08-26T20:32:59.5978739Z 2025-08-26T20:32:59.5980364Z Running profiler/test_cpp_thread 1/1 ... [2025-08-26 20:32:59.597839] 2025-08-26T20:32:59.5980871Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:59.5983526Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_cpp_thread.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:59.598135] 2025-08-26T20:33:03.7680303Z 2025-08-26T20:33:03.7681759Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_489885e168593fee_.log 2025-08-26T20:33:03.7683302Z Running 0 items in this shard: 2025-08-26T20:33:03.7683626Z 2025-08-26T20:33:03.7686167Z Running test_cuda_expandable_segments 1/1 ... [2025-08-26 20:33:03.768399] 2025-08-26T20:33:03.7686948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:03.7691319Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:03.768814] 2025-08-26T20:33:08.0312122Z 2025-08-26T20:33:08.0313119Z test_cuda_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_expandable_segments_1.1_21bff3a0ad4f5267_.log 2025-08-26T20:33:08.0313882Z 2025-08-26T20:33:08.0315980Z Running test_numba_integration 1/1 ... [2025-08-26 20:33:08.031418] 2025-08-26T20:33:08.0316474Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:08.0319513Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_numba_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:08.031732] 2025-08-26T20:33:11.1000398Z 2025-08-26T20:33:11.1001255Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_f5be0d7126861ccb_.log 2025-08-26T20:33:11.1002094Z Running 0 items in this shard: 2025-08-26T20:33:11.1002288Z 2025-08-26T20:33:11.1004486Z Running test_segment_reductions 1/1 ... [2025-08-26 20:33:11.100281] 2025-08-26T20:33:11.1005003Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:11.1008108Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_segment_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:11.100600] 2025-08-26T20:33:14.2190109Z 2025-08-26T20:33:14.2191279Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_21b610baded21114_.log 2025-08-26T20:33:14.2192860Z Running 0 items in this shard: 2025-08-26T20:33:14.2193293Z 2025-08-26T20:33:14.2195252Z Running test_logging 1/1 ... [2025-08-26 20:33:14.219321] 2025-08-26T20:33:14.2195934Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:14.2199369Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_logging.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:14.219665] 2025-08-26T20:33:17.2880611Z 2025-08-26T20:33:17.2881523Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_e0d4425788351e49_.log 2025-08-26T20:33:17.2882249Z Running 0 items in this shard: 2025-08-26T20:33:17.2882447Z 2025-08-26T20:33:17.2884903Z Running test_functionalization_of_rng_ops 1/1 ... [2025-08-26 20:33:17.288293] 2025-08-26T20:33:17.2885612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:17.2888535Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functionalization_of_rng_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:17.288599] 2025-08-26T20:33:20.6071747Z 2025-08-26T20:33:20.6073051Z test_functionalization_of_rng_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_of_rng_ops_1.1_29082dc330fb57e2_.log 2025-08-26T20:33:20.6074058Z Running 0 items in this shard: 2025-08-26T20:33:20.6074252Z 2025-08-26T20:33:20.6076233Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-08-26 20:33:20.607397] 2025-08-26T20:33:20.6076890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:20.6080050Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aot_joint_with_descriptors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:20.607724] 2025-08-26T20:33:23.9264974Z 2025-08-26T20:33:23.9266574Z functorch/test_aot_joint_with_descriptors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aot_joint_with_descriptors_1.1_bc9553e447d00c74_.log 2025-08-26T20:33:23.9268349Z Running 0 items in this shard: 2025-08-26T20:33:23.9268616Z 2025-08-26T20:33:23.9270186Z Running test_subclass 1/1 ... [2025-08-26 20:33:23.926849] 2025-08-26T20:33:23.9270786Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:23.9275477Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_subclass.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:23.927258] 2025-08-26T20:33:26.9956688Z 2025-08-26T20:33:26.9957561Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_29600382bd6eaeee_.log 2025-08-26T20:33:26.9958296Z Running 0 items in this shard: 2025-08-26T20:33:26.9958503Z 2025-08-26T20:33:26.9960381Z Running test_itt 1/1 ... [2025-08-26 20:33:26.995868] 2025-08-26T20:33:26.9961083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:26.9964621Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_itt.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:26.996198] 2025-08-26T20:33:30.0645827Z 2025-08-26T20:33:30.0646889Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_1db5f0db5b4453da_.log 2025-08-26T20:33:30.0647597Z Running 0 items in this shard: 2025-08-26T20:33:30.0647807Z 2025-08-26T20:33:30.0649987Z Running profiler/test_torch_tidy 1/1 ... [2025-08-26 20:33:30.064803] 2025-08-26T20:33:30.0650666Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:30.0653834Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:30.065129] 2025-08-26T20:33:33.1335510Z 2025-08-26T20:33:33.1336951Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_c05394a071481584_.log 2025-08-26T20:33:33.1337815Z Running 0 items in this shard: 2025-08-26T20:33:33.1338025Z 2025-08-26T20:33:33.1339773Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-08-26 20:33:33.133780] 2025-08-26T20:33:33.1340501Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:33.1343827Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:33.134111] 2025-08-26T20:33:36.3028399Z 2025-08-26T20:33:36.3029822Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_8e86fff36443b26b_.log 2025-08-26T20:33:36.3031180Z Running 0 items in this shard: 2025-08-26T20:33:36.3031425Z 2025-08-26T20:33:36.3031640Z Running test_bundled_inputs 1/1 ... [2025-08-26 20:33:36.302895] 2025-08-26T20:33:36.3032064Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:36.3034751Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_bundled_inputs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:36.303224] 2025-08-26T20:33:39.4217165Z 2025-08-26T20:33:39.4218058Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_57765eacd0671dad_.log 2025-08-26T20:33:39.4218960Z Running 0 items in this shard: 2025-08-26T20:33:39.4219173Z 2025-08-26T20:33:39.4221284Z Running test_masked 1/1 ... [2025-08-26 20:33:39.421971] 2025-08-26T20:33:39.4221720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:39.4225283Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_masked.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:39.422291] 2025-08-26T20:33:43.5920989Z 2025-08-26T20:33:43.5921777Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_e9691713b2492adf_.log 2025-08-26T20:33:43.5922519Z Running 0 items in this shard: 2025-08-26T20:33:43.5922728Z 2025-08-26T20:33:43.5925201Z Running test_monitor 1/1 ... [2025-08-26 20:33:43.592361] 2025-08-26T20:33:43.5925603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:43.5929123Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_monitor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:43.592700] 2025-08-26T20:33:46.6609599Z 2025-08-26T20:33:46.6610430Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_320dd265cb5f9685_.log 2025-08-26T20:33:46.6611154Z Running 0 items in this shard: 2025-08-26T20:33:46.6611347Z 2025-08-26T20:33:46.6614032Z Running test_sympy_utils 1/1 ... [2025-08-26 20:33:46.661233] 2025-08-26T20:33:46.6614468Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:46.6617934Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sympy_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:46.661574] 2025-08-26T20:33:49.8299621Z 2025-08-26T20:33:49.8300901Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_2e66e4d4c406c840_.log 2025-08-26T20:33:49.8302272Z Running 0 items in this shard: 2025-08-26T20:33:49.8302641Z 2025-08-26T20:33:49.8305683Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-08-26 20:33:49.830340] 2025-08-26T20:33:49.8306555Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:49.8310467Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:49.830721] 2025-08-26T20:33:53.0994511Z 2025-08-26T20:33:53.0996223Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_12649f66cd6c3bff_.log 2025-08-26T20:33:53.0997993Z Running 0 items in this shard: 2025-08-26T20:33:53.0998276Z 2025-08-26T20:33:53.1000059Z Running functorch/test_vmap_registrations 1/1 ... [2025-08-26 20:33:53.099810] 2025-08-26T20:33:53.1000823Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:53.1005561Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap_registrations.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:53.100226] 2025-08-26T20:33:56.3689009Z 2025-08-26T20:33:56.3690627Z functorch/test_vmap_registrations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_registrations_1.1_4a4398f4064aaafd_.log 2025-08-26T20:33:56.3692321Z Running 0 items in this shard: 2025-08-26T20:33:56.3692584Z 2025-08-26T20:33:56.3694703Z Running torch_np/test_indexing 1/1 ... [2025-08-26 20:33:56.369247] 2025-08-26T20:33:56.3695417Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:56.3699529Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:56.369642] 2025-08-26T20:33:59.4381608Z 2025-08-26T20:33:59.4383000Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_74988f7502ab48d5_.log 2025-08-26T20:33:59.4384508Z Running 0 items in this shard: 2025-08-26T20:33:59.4384845Z 2025-08-26T20:33:59.4387719Z Running optim/test_swa_utils 1/1 ... [2025-08-26 20:33:59.438513] 2025-08-26T20:33:59.4388214Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:59.4391539Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'optim/test_swa_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:59.438865] 2025-08-26T20:34:02.4219660Z 2025-08-26T20:34:02.4220851Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_b9f372b0a89ba3e4_.log 2025-08-26T20:34:02.4221528Z 2025-08-26T20:34:02.4224481Z Running cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 ... [2025-08-26 20:34:02.422200] 2025-08-26T20:34:02.4225134Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:02.4228300Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:02.422539] 2025-08-26T20:34:05.4909082Z 2025-08-26T20:34:05.4910625Z cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic_1.1_61fcf5da9f31ce80_.log 2025-08-26T20:34:05.4912232Z Running 0 items in this shard: 2025-08-26T20:34:05.4912456Z 2025-08-26T20:34:05.4913254Z Running dynamo/test_nested_graph_breaks 1/1 ... [2025-08-26 20:34:05.491131] 2025-08-26T20:34:05.4913948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:05.4917106Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_nested_graph_breaks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:05.491447] 2025-08-26T20:34:08.6869221Z 2025-08-26T20:34:08.6870469Z dynamo/test_nested_graph_breaks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nested_graph_breaks_1.1_61bcbcf366159228_.log 2025-08-26T20:34:08.6871262Z 2025-08-26T20:34:08.6872813Z Running test_mkldnn_fusion 1/1 ... [2025-08-26 20:34:08.687107] 2025-08-26T20:34:08.6873536Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:08.6876815Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:08.687437] 2025-08-26T20:34:11.8058395Z 2025-08-26T20:34:11.8059576Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_cbad1357b8bb4645_.log 2025-08-26T20:34:11.8060375Z Running 0 items in this shard: 2025-08-26T20:34:11.8060586Z 2025-08-26T20:34:11.8062214Z Running test_import_stats 1/1 ... [2025-08-26 20:34:11.806056] 2025-08-26T20:34:11.8062907Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:11.8066755Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_import_stats.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:11.806420] 2025-08-26T20:34:14.9248138Z 2025-08-26T20:34:14.9249275Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_9959725c3068fc38_.log 2025-08-26T20:34:14.9250034Z Running 0 items in this shard: 2025-08-26T20:34:14.9250227Z 2025-08-26T20:34:14.9251951Z Running test_tensorboard 1/1 ... [2025-08-26 20:34:14.925024] 2025-08-26T20:34:14.9252649Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:14.9255914Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensorboard.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:14.925331] 2025-08-26T20:34:18.4943622Z 2025-08-26T20:34:18.4944803Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_e0cfa2eb072efcf2_.log 2025-08-26T20:34:18.4945592Z Running 0 items in this shard: 2025-08-26T20:34:18.4945788Z 2025-08-26T20:34:18.4947727Z Running nn/test_embedding 1/1 ... [2025-08-26 20:34:18.494592] 2025-08-26T20:34:18.4948444Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:18.4951517Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_embedding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:18.494912] 2025-08-26T20:34:21.6132487Z 2025-08-26T20:34:21.6133665Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_04096f83d11dd474_.log 2025-08-26T20:34:21.6134424Z Running 0 items in this shard: 2025-08-26T20:34:21.6134632Z 2025-08-26T20:34:21.6136734Z Running nn/test_dropout 1/1 ... [2025-08-26 20:34:21.613486] 2025-08-26T20:34:21.6137414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:21.6141121Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_dropout.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:21.613822] 2025-08-26T20:34:24.7823255Z 2025-08-26T20:34:24.7824318Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_875d1369011d3f27_.log 2025-08-26T20:34:24.7825170Z Running 0 items in this shard: 2025-08-26T20:34:24.7825384Z 2025-08-26T20:34:24.7827576Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-08-26 20:34:24.782565] 2025-08-26T20:34:24.7828099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:24.7831078Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:24.782879] 2025-08-26T20:34:27.9013044Z 2025-08-26T20:34:27.9014450Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_9044b2ccd6bfbce6_.log 2025-08-26T20:34:27.9015448Z Running 0 items in this shard: 2025-08-26T20:34:27.9015662Z 2025-08-26T20:34:27.9017609Z Running test_public_bindings 1/1 ... [2025-08-26 20:34:27.901541] 2025-08-26T20:34:27.9018247Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:27.9021349Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_public_bindings.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:27.901878] 2025-08-26T20:34:30.9701885Z 2025-08-26T20:34:30.9703105Z test_public_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_public_bindings_1.1_2049b0ab09737fdf_.log 2025-08-26T20:34:30.9703906Z Running 0 items in this shard: 2025-08-26T20:34:30.9704101Z 2025-08-26T20:34:30.9706532Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-08-26 20:34:30.970444] 2025-08-26T20:34:30.9707174Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:30.9710162Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:30.970758] 2025-08-26T20:34:34.0891517Z 2025-08-26T20:34:34.0892723Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_784fbb7895928036_.log 2025-08-26T20:34:34.0893692Z Running 0 items in this shard: 2025-08-26T20:34:34.0893905Z 2025-08-26T20:34:34.0895148Z Running test_maskedtensor 1/1 ... [2025-08-26 20:34:34.089344] 2025-08-26T20:34:34.0895574Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:34.0898640Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_maskedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:34.089666] 2025-08-26T20:34:38.3595071Z 2025-08-26T20:34:38.3596006Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_788e517c4f64a6f8_.log 2025-08-26T20:34:38.3596760Z Running 0 items in this shard: 2025-08-26T20:34:38.3596969Z 2025-08-26T20:34:38.3599037Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-08-26 20:34:38.359737] 2025-08-26T20:34:38.3599622Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:38.3602940Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:38.360063] 2025-08-26T20:34:41.4783655Z 2025-08-26T20:34:41.4785580Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_8653a8a41da6e8b8_.log 2025-08-26T20:34:41.4787318Z Running 0 items in this shard: 2025-08-26T20:34:41.4787627Z 2025-08-26T20:34:41.4788758Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-26 20:34:41.478694] 2025-08-26T20:34:41.4789405Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:41.4794684Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:41.479130] 2025-08-26T20:34:45.6990693Z 2025-08-26T20:34:45.6991949Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_59004d852fc47822_.log 2025-08-26T20:34:45.6993437Z Running 0 items in this shard: 2025-08-26T20:34:45.6993762Z 2025-08-26T20:34:45.6995926Z Running test_schema_check 1/1 ... [2025-08-26 20:34:45.699402] 2025-08-26T20:34:45.6996612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:45.7001033Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_schema_check.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:45.699794] 2025-08-26T20:34:50.7708832Z 2025-08-26T20:34:50.7709873Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_8e258c133df10ea0_.log 2025-08-26T20:34:50.7710736Z Running 0 items in this shard: 2025-08-26T20:34:50.7710946Z 2025-08-26T20:34:50.7712762Z Running functorch/test_vmap 2/2 ... [2025-08-26 20:34:50.771102] 2025-08-26T20:34:50.7713249Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:50.7716470Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:50.771439] 2025-08-26T20:34:55.3919902Z 2025-08-26T20:34:55.3921244Z functorch/test_vmap 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_2.2_104d26223a70af92_.log 2025-08-26T20:34:55.3922681Z Running 0 items in this shard: 2025-08-26T20:34:55.3922958Z 2025-08-26T20:34:55.3924850Z Running test_mkldnn 1/1 ... [2025-08-26 20:34:55.392299] 2025-08-26T20:34:55.3925471Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:55.3930080Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:55.392699] 2025-08-26T20:34:58.7618485Z 2025-08-26T20:34:58.7619320Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_6b2aa20b6d539495_.log 2025-08-26T20:34:58.7620280Z Running 0 items in this shard: 2025-08-26T20:34:58.7620474Z 2025-08-26T20:34:58.7622543Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-08-26 20:34:58.762083] 2025-08-26T20:34:58.7623053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:34:58.7626424Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:58.762404] 2025-08-26T20:35:01.9812649Z 2025-08-26T20:35:01.9813729Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_6010ffb7543e3d19_.log 2025-08-26T20:35:01.9815018Z Running 0 items in this shard: 2025-08-26T20:35:01.9815341Z 2025-08-26T20:35:01.9816187Z Running test_unary_ufuncs 1/1 ... [2025-08-26 20:35:01.981456] 2025-08-26T20:35:01.9816654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:01.9819821Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:01.981771] 2025-08-26T20:35:10.1073188Z 2025-08-26T20:35:10.1074086Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_04512dac24a6e4c3_.log 2025-08-26T20:35:10.1074924Z Running 0 items in this shard: 2025-08-26T20:35:10.1075138Z 2025-08-26T20:35:10.1077215Z Running test_accelerator 1/1 ... [2025-08-26 20:35:10.107530] 2025-08-26T20:35:10.1077665Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:10.1080819Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_accelerator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:10.107867] 2025-08-26T20:35:13.1060938Z 2025-08-26T20:35:13.1062258Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_2ee06076d0742a6e_.log 2025-08-26T20:35:13.1063453Z 2025-08-26T20:35:13.1066196Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-08-26 20:35:13.106429] 2025-08-26T20:35:13.1066962Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:13.1071293Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:13.106818] 2025-08-26T20:35:16.2755543Z 2025-08-26T20:35:16.2756538Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_2db4635287833095_.log 2025-08-26T20:35:16.2757431Z Running 0 items in this shard: 2025-08-26T20:35:16.2757643Z 2025-08-26T20:35:16.2759587Z Running test_jit_autocast 1/1 ... [2025-08-26 20:35:16.275803] 2025-08-26T20:35:16.2760065Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:16.2763278Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:16.276126] 2025-08-26T20:35:21.3472978Z 2025-08-26T20:35:21.3473868Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_fb13c532aab166e4_.log 2025-08-26T20:35:21.3474662Z Running 0 items in this shard: 2025-08-26T20:35:21.3474873Z 2025-08-26T20:35:21.3477276Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-08-26 20:35:21.347555] 2025-08-26T20:35:21.3477869Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:21.3480977Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:21.347879] 2025-08-26T20:35:24.5165773Z 2025-08-26T20:35:24.5167108Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_0c3d49c990b3fb74_.log 2025-08-26T20:35:24.5168097Z Running 0 items in this shard: 2025-08-26T20:35:24.5168311Z 2025-08-26T20:35:24.5170162Z Running test_dlpack 1/1 ... [2025-08-26 20:35:24.516844] 2025-08-26T20:35:24.5170734Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:24.5173804Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:24.517170] 2025-08-26T20:35:27.6858571Z 2025-08-26T20:35:27.6859754Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_389a8215915d3146_.log 2025-08-26T20:35:27.6861060Z Running 0 items in this shard: 2025-08-26T20:35:27.6861409Z 2025-08-26T20:35:27.6864036Z Running profiler/test_profiler_tree 1/1 ... [2025-08-26 20:35:27.686202] 2025-08-26T20:35:27.6864791Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:27.6868778Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:27.686568] 2025-08-26T20:35:30.7550479Z 2025-08-26T20:35:30.7551449Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_67979008cdd1cb9a_.log 2025-08-26T20:35:30.7552294Z Running 0 items in this shard: 2025-08-26T20:35:30.7552507Z 2025-08-26T20:35:30.7554293Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-08-26 20:35:30.755245] 2025-08-26T20:35:30.7554967Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:30.7558326Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:30.755600] 2025-08-26T20:35:33.8740890Z 2025-08-26T20:35:33.8742006Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_21bc6295e3ef9927_.log 2025-08-26T20:35:33.8742992Z Running 0 items in this shard: 2025-08-26T20:35:33.8743203Z 2025-08-26T20:35:33.8745074Z Running torch_np/test_reductions 1/1 ... [2025-08-26 20:35:33.874338] 2025-08-26T20:35:33.8745525Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:33.8748999Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:33.874675] 2025-08-26T20:35:37.1433024Z 2025-08-26T20:35:37.1434134Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_9c4ce1f3ddb6813a_.log 2025-08-26T20:35:37.1435069Z Running 0 items in this shard: 2025-08-26T20:35:37.1435284Z 2025-08-26T20:35:37.1436774Z Running lazy/test_reuse_ir 1/1 ... [2025-08-26 20:35:37.143512] 2025-08-26T20:35:37.1437217Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:37.1440553Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:37.143849] 2025-08-26T20:35:40.2622139Z 2025-08-26T20:35:40.2623315Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_59f18b11e4c4e0fc_.log 2025-08-26T20:35:40.2624149Z Running 0 items in this shard: 2025-08-26T20:35:40.2624416Z 2025-08-26T20:35:40.2626673Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-08-26 20:35:40.262498] 2025-08-26T20:35:40.2627203Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:40.2631024Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:40.262857] 2025-08-26T20:35:43.4313830Z 2025-08-26T20:35:43.4314835Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_dc23fcacbf24b173_.log 2025-08-26T20:35:43.4315780Z Running 0 items in this shard: 2025-08-26T20:35:43.4315991Z 2025-08-26T20:35:43.4317967Z Running test_quantization 1/4 ... [2025-08-26 20:35:43.431636] 2025-08-26T20:35:43.4318461Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:43.4322174Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:43.431996] 2025-08-26T20:35:48.4028456Z 2025-08-26T20:35:48.4029840Z test_quantization 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_1.4_d8ff57528ceb25ae_.log 2025-08-26T20:35:48.4031248Z Running 0 items in this shard: 2025-08-26T20:35:48.4031612Z 2025-08-26T20:35:48.4034305Z Running test_quantization 3/4 ... [2025-08-26 20:35:48.403226] 2025-08-26T20:35:48.4034966Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:48.4039252Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:48.403648] 2025-08-26T20:35:52.9240597Z 2025-08-26T20:35:52.9241698Z test_quantization 3/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_3.4_557dd4d2712f7415_.log 2025-08-26T20:35:52.9242513Z Running 0 items in this shard: 2025-08-26T20:35:52.9242708Z 2025-08-26T20:35:52.9244445Z Running test_quantization 4/4 ... [2025-08-26 20:35:52.924280] 2025-08-26T20:35:52.9245089Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:35:52.9248356Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:52.924585] 2025-08-26T20:35:57.4448886Z 2025-08-26T20:35:57.4449763Z test_quantization 4/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_4.4_a7b039ffee841d26_.log 2025-08-26T20:35:57.4450539Z Running 0 items in this shard: 2025-08-26T20:35:57.4450735Z 2025-08-26T20:35:59.9071248Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:35:59.9074609Z import pkg_resources 2025-08-26T20:35:59.9223876Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:35:59.9227039Z import pkg_resources 2025-08-26T20:35:59.9338712Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:35:59.9341881Z import pkg_resources 2025-08-26T20:36:00.0781432Z Running inductor/test_aot_inductor_arrayref 1/1 ... [2025-08-26 20:36:00.077735] 2025-08-26T20:36:00.0782318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:00.0784670Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:00.078101] 2025-08-26T20:36:00.0793423Z Running inductor/test_extension_backend 1/1 ... [2025-08-26 20:36:00.079054] 2025-08-26T20:36:00.0793994Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:00.0794576Z Running inductor/test_torchinductor_dynamic_shapes 1/1 ... [2025-08-26 20:36:00.079114] 2025-08-26T20:36:00.0795124Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:00.0797579Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:00.079484] 2025-08-26T20:36:00.0799872Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:00.079515] 2025-08-26T20:36:07.5529283Z 2025-08-26T20:36:07.5530610Z inductor/test_torchinductor_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_1.1_f5611c8ef71319de_.log 2025-08-26T20:36:07.5531648Z 2025-08-26T20:36:08.7139501Z 2025-08-26T20:36:08.7141035Z inductor/test_aot_inductor_arrayref 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_1.1_5cdf7553e0c55207_.log 2025-08-26T20:36:08.7142369Z 2025-08-26T20:36:10.4398868Z 2025-08-26T20:36:10.4400414Z inductor/test_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_extension_backend_1.1_82e0e2a93e41e6bb_.log 2025-08-26T20:36:10.4401232Z 2025-08-26T20:36:11.0538564Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:11.0541534Z import pkg_resources 2025-08-26T20:36:11.1785179Z Running inductor/test_triton_kernels 1/1 ... [2025-08-26 20:36:11.178116] 2025-08-26T20:36:11.1786012Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:11.1788251Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_kernels.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:11.178491] 2025-08-26T20:36:12.0243966Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:12.0246875Z import pkg_resources 2025-08-26T20:36:12.1475724Z Running dynamo/test_utils 1/1 ... [2025-08-26 20:36:12.147152] 2025-08-26T20:36:12.1476609Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:12.1479078Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:12.147560] 2025-08-26T20:36:13.6189040Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:13.6192221Z import pkg_resources 2025-08-26T20:36:13.7409573Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-08-26 20:36:13.740565] 2025-08-26T20:36:13.7410446Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:13.7412635Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:13.740945] 2025-08-26T20:36:15.3006184Z 2025-08-26T20:36:15.3007840Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_b451af714bd279f3_.log 2025-08-26T20:36:15.3009135Z 2025-08-26T20:36:18.1995466Z 2025-08-26T20:36:18.1996740Z inductor/test_triton_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_kernels_1.1_0b0b3bdeb55f5899_.log 2025-08-26T20:36:18.1997532Z 2025-08-26T20:36:18.5359772Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:18.5362707Z import pkg_resources 2025-08-26T20:36:18.6600986Z Running inductor/test_compile_subprocess 1/1 ... [2025-08-26 20:36:18.659732] 2025-08-26T20:36:18.6601556Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:18.6603748Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:18.660101] 2025-08-26T20:36:21.4327632Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:21.4330495Z import pkg_resources 2025-08-26T20:36:21.5568618Z Running inductor/test_memory 1/1 ... [2025-08-26 20:36:21.556487] 2025-08-26T20:36:21.5569386Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:21.5572261Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_memory.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:21.556884] 2025-08-26T20:36:21.5824328Z 2025-08-26T20:36:21.5825435Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_19c7f79ea19c857b_.log 2025-08-26T20:36:21.5826347Z 2025-08-26T20:36:24.8063557Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:24.8066458Z import pkg_resources 2025-08-26T20:36:24.9306420Z Running inductor/test_inductor_freezing 1/1 ... [2025-08-26 20:36:24.930240] 2025-08-26T20:36:24.9307527Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:24.9309576Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_inductor_freezing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:24.930617] 2025-08-26T20:36:26.2376104Z 2025-08-26T20:36:26.2377630Z inductor/test_compile_subprocess 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.1_f7337caf63bf20ab_.log 2025-08-26T20:36:26.2378910Z 2025-08-26T20:36:28.5994804Z 2025-08-26T20:36:28.5996193Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_fe3c6dfcba3ef3bf_.log 2025-08-26T20:36:28.5996889Z 2025-08-26T20:36:29.5613056Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:29.5615962Z import pkg_resources 2025-08-26T20:36:29.7013470Z Running dynamo/test_package 1/1 ... [2025-08-26 20:36:29.700921] 2025-08-26T20:36:29.7015137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:29.7024304Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:29.702032] 2025-08-26T20:36:31.8202708Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:31.8205605Z import pkg_resources 2025-08-26T20:36:31.9442855Z Running dynamo/test_logging 1/1 ... [2025-08-26 20:36:31.943879] 2025-08-26T20:36:31.9443539Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:31.9445376Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:31.944266] 2025-08-26T20:36:32.4480568Z 2025-08-26T20:36:32.4481894Z inductor/test_inductor_freezing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_freezing_1.1_176823a30055030c_.log 2025-08-26T20:36:32.4483164Z 2025-08-26T20:36:35.7414038Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:35.7417322Z import pkg_resources 2025-08-26T20:36:35.8653752Z Running dynamo/test_structured_trace 1/1 ... [2025-08-26 20:36:35.864982] 2025-08-26T20:36:35.8654963Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:35.8657767Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_structured_trace.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:35.865383] 2025-08-26T20:36:36.7232648Z 2025-08-26T20:36:36.7234003Z dynamo/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_package_1.1_2b0f83ed1b33c172_.log 2025-08-26T20:36:36.7234968Z 2025-08-26T20:36:39.1789399Z 2025-08-26T20:36:39.1791418Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_d2ec07a6016faff7_.log 2025-08-26T20:36:39.1792760Z 2025-08-26T20:36:39.9889546Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:39.9892378Z import pkg_resources 2025-08-26T20:36:40.1122023Z Running inductor/test_torchbind 1/1 ... [2025-08-26 20:36:40.111821] 2025-08-26T20:36:40.1122859Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:40.1125251Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchbind.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:40.112193] 2025-08-26T20:36:42.5111181Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:42.5114143Z import pkg_resources 2025-08-26T20:36:42.6359114Z Running dynamo/test_error_messages 1/1 ... [2025-08-26 20:36:42.635513] 2025-08-26T20:36:42.6359952Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:42.6362594Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:42.635911] 2025-08-26T20:36:42.9786325Z 2025-08-26T20:36:42.9787740Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_eae33328557e98f2_.log 2025-08-26T20:36:42.9788502Z 2025-08-26T20:36:46.1548574Z 2025-08-26T20:36:46.1549515Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_5efb888eefa8c32c_.log 2025-08-26T20:36:46.1550284Z 2025-08-26T20:36:46.2169149Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:46.2170723Z import pkg_resources 2025-08-26T20:36:46.3424141Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-08-26 20:36:46.342004] 2025-08-26T20:36:46.3424907Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:46.3426799Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_aot_autograd_cache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:46.342359] 2025-08-26T20:36:47.3420117Z 2025-08-26T20:36:47.3421557Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_346d60a1ba2301b2_.log 2025-08-26T20:36:47.3422961Z 2025-08-26T20:36:49.4387201Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:49.4388855Z import pkg_resources 2025-08-26T20:36:49.5619619Z Running dynamo/test_misc 1/1 ... [2025-08-26 20:36:49.561558] 2025-08-26T20:36:49.5621110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:49.5623154Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_misc.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:49.561930] 2025-08-26T20:36:50.6036253Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:50.6037805Z import pkg_resources 2025-08-26T20:36:50.7281554Z Running dynamo/test_subclasses 1/1 ... [2025-08-26 20:36:50.727788] 2025-08-26T20:36:50.7282137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:50.7284643Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_subclasses.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:50.728158] 2025-08-26T20:36:53.3619386Z 2025-08-26T20:36:53.3620738Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_b8428c83ede29bee_.log 2025-08-26T20:36:53.3621526Z 2025-08-26T20:36:54.3730802Z 2025-08-26T20:36:54.3731721Z dynamo/test_misc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_misc_1.1_269f28283d04ab1b_.log 2025-08-26T20:36:54.3732433Z 2025-08-26T20:36:56.8503098Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:56.8505771Z import pkg_resources 2025-08-26T20:36:56.9756424Z Running functorch/test_aotdispatch 2/6 ... [2025-08-26 20:36:56.975220] 2025-08-26T20:36:56.9757324Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:56.9761073Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=2', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:56.975736] 2025-08-26T20:36:57.5925725Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:36:57.5929120Z import pkg_resources 2025-08-26T20:36:57.7171402Z Running functorch/test_aotdispatch 6/6 ... [2025-08-26 20:36:57.716692] 2025-08-26T20:36:57.7172306Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:36:57.7174722Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=6', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:57.717107] 2025-08-26T20:36:57.8984538Z 2025-08-26T20:36:57.8986281Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_dd0a0c1fa2e177a5_.log 2025-08-26T20:36:57.8987266Z 2025-08-26T20:37:01.0681608Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:37:01.0684603Z import pkg_resources 2025-08-26T20:37:01.1915601Z Running test_indexing 1/1 ... [2025-08-26 20:37:01.191165] 2025-08-26T20:37:01.1916295Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:37:01.1918825Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:37:01.191558] 2025-08-26T20:37:10.7871900Z 2025-08-26T20:37:10.7873193Z test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_indexing_1.1_4bb2d33a9c36b91a_.log 2025-08-26T20:37:10.7931592Z Running 184 items in this shard: test/test_indexing.py::TestIndexingCPU::test_advancedindex_big_cpu, test/test_indexing.py::TestIndexingCPU::test_advancedindex_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_advancedindex_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_basic_advanced_combined_cpu, test/test_indexing.py::TestIndexingCPU::test_bool_indices_accumulate_cpu, test/test_indexing.py::TestIndexingCPU::test_bool_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_bool_mask_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask2d_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask_accumulate_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_tensor_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_cpu_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_cuda_broadcast_index_use_deterministic_algorithms_cpu, test/test_indexing.py::TestIndexingCPU::test_ellipsis_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_index_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_ndim_index_bool_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_ndim_index_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_slice_cpu, test/test_indexing.py::TestIndexingCPU::test_errors_index_copy_cpu, test/test_indexing.py::TestIndexingCPU::test_gather_take_along_dim_cross_device_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_getitem_scalars_cpu, test/test_indexing.py::TestIndexingCPU::test_index_add_deterministic_cpu, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_complex128, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_complex64, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_copy_deterministic_cpu, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_complex128, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_complex64, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_cpu, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_complex128, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_complex64, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_getitem_copy_bools_slices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_ind_dtype_cpu, test/test_indexing.py::TestIndexingCPU::test_index_limits_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_duplicate_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_empty_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_expanded_values_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_large_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_non_contiguous_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_deterministic_with_optional_tensors_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_large_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_non_accumulate_deterministic_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_complex128, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_complex64, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_scalar_with_bool_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_complex128, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_complex64, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float8_e4m3fn, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float8_e4m3fnuz, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float8_e5m2, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float8_e5m2fnuz, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_setitem_bools_slices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_int_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices2d_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices_broadcast_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_invalid_device_cpu, test/test_indexing.py::TestIndexingCPU::test_invalid_index_cpu, test/test_indexing.py::TestIndexingCPU::test_jit_indexing_cpu, test/test_indexing.py::TestIndexingCPU::test_list_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_multi_dimensional_bool_mask_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_multi_dimensional_bool_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_bool_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_byte_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_int_cpu, test/test_indexing.py::TestIndexingCPU::test_none_cpu, test/test_indexing.py::TestIndexingCPU::test_out_of_bound_index_cpu, test/test_indexing.py::TestIndexingCPU::test_set_item_to_scalar_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_setitem_expansion_error_cpu, test/test_indexing.py::TestIndexingCPU::test_setitem_scalars_cpu, test/test_indexing.py::TestIndexingCPU::test_single_int_cpu, test/test_indexing.py::TestIndexingCPU::test_step_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_step_cpu, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_invalid_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_invalid_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_unravel_index_errors_cpu, test/test_indexing.py::TestIndexingCPU::test_variable_slicing_cpu, test/test_indexing.py::TestIndexingCPU::test_zero_dim_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_assignment_value_mismatch_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_alldims_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_onedim_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_twodim_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_weirdness_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_weirdness_tensors_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_list_indexing_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_shape_mismatch_cpu, test/test_indexing.py::NumpyTestsCPU::test_broadcast_subspace_cpu, test/test_indexing.py::NumpyTestsCPU::test_broaderrors_indexing_cpu, test/test_indexing.py::NumpyTestsCPU::test_ellipsis_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_empty_fancy_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_empty_tuple_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_everything_returns_views_cpu, test/test_indexing.py::NumpyTestsCPU::test_index_is_larger_cpu, test/test_indexing.py::NumpyTestsCPU::test_index_no_floats_cpu, test/test_indexing.py::NumpyTestsCPU::test_none_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_single_bool_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_single_int_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_trivial_fancy_out_of_bounds_cpu, test/test_indexing.py::NumpyTestsCPU::test_truncate_leading_1s_cpu 2025-08-26T20:37:10.7987387Z 2025-08-26T20:37:14.1114385Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:37:14.1117362Z import pkg_resources 2025-08-26T20:37:14.2347590Z Running test_type_promotion 1/1 ... [2025-08-26 20:37:14.234395] 2025-08-26T20:37:14.2348079Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:37:14.2350130Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_type_promotion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:37:14.234759] 2025-08-26T20:37:21.8128457Z 2025-08-26T20:37:21.8129926Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_fa85f4ec7f29c10b_.log 2025-08-26T20:37:21.8318695Z Running 423 items in this shard: test/test_type_promotion.py::TestTypePromotionCPU::test_add_wrapped_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alpha_mismatch_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alternate_result_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_bfloat16_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_booleans_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_can_cast_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_out_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_int32, 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test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_int32, 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test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unsigned_cpu 2025-08-26T20:37:21.8492751Z 2025-08-26T20:37:25.2074340Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:37:25.2077232Z import pkg_resources 2025-08-26T20:37:25.3843881Z Running functorch/test_eager_transforms 1/1 ... [2025-08-26 20:37:25.384001] 2025-08-26T20:37:25.3844416Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:37:25.3847202Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:37:25.384408] 2025-08-26T20:37:48.4475379Z 2025-08-26T20:37:48.4484833Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_dae6ab4964a29267_.log 2025-08-26T20:37:48.4823239Z Running 355 items in this shard: test/functorch/test_eager_transforms.py::TestSliceArgnums::test_argnums_reorders, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_duplicate_argnums, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_negative_int_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_positive_int_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_tuple_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_invalid_argnum_type, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_not_enough_argnums, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_out_of_bounds_argnum_values, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_pytree_args, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_buffer_tying, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_combine_state_for_ensemble_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_combine_state_for_ensemble_smoke, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_correctness_mnist_mechanism_functional_call, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_correctness_mnist_mechanism_make_functional, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_disable_autograd_tracking_disable_autograd_tracking_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_disable_autograd_tracking_disable_autograd_tracking_True, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_make_functional_state_correctly_returned_after_forward_mechanism_functional_call, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_make_functional_state_correctly_returned_after_forward_mechanism_make_functional, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying_ensemble, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying_grad, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_leaf, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_mismatch_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_smoke, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_using_detach_functional_call_detach_params_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_using_detach_functional_call_detach_params_True, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_with_buffers_disable_autograd_tracking_disable_autograd_tracking_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_with_buffers_disable_autograd_tracking_disable_autograd_tracking_True, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_advanced_indexing_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composed_with_autograd_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_complicated_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_two_ops_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_conj_bit_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_dtype_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_escaped_wrappers_are_ignored_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_escaped_wrappers_are_marked_as_dead_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_fn_with_kwargs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_functional_init_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_functional_init_with_buffers_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_aux_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_aux_tensor_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_of_vjp_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_of_vjp_of_grad_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_pytree_inputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_captures_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_view_base_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_view_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_invalid_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_is_cuda_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_manual_seed_inside_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_negative_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_nesting_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_inside_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_mixed_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_nested_complicated_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_nested_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_fn_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_only_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_value_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_numel_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_out_of_order_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_primitive_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_print_captured_tensor_inside_transform_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_shape_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_ctor_inside_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_grad_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_vmap_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_hessian_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_vjp_multiple_inputs_outputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_view_inplace_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_views_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_aux_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_aux_tensor_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_of_grad_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_outputs_can_any_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_error_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_input_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_output_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_two_outputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_zero_grad_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_log_softmax_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_new_empty_materializes_tensor_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_new_zeros_materializes_tensor_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_embeddingnet_mechanism_functional_call_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_embeddingnet_mechanism_make_functional_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_inplace_view_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_simple_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_correctness_different_devices_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_correctness_different_devices_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_default_arg_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_default_arg_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_multi_input_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_multi_input_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_multi_input_multi_output_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_multi_input_multi_output_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_simple_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_simple_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_unrelated_outputs_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_unrelated_outputs_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_zero_dim_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_zero_dim_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_argnums_defaults_to_zero_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_argnums_defaults_to_zero_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_argnums_effect_on_return_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_argnums_effect_on_return_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_argnums_tuple_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_argnums_tuple_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_aux_pytree_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_aux_pytree_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_aux_tensor_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_aux_tensor_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_chunk_jacrev__preallocate_and_copy_False_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_chunk_jacrev__preallocate_and_copy_True_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_chunk_jacrev_chunksize_one__preallocate_and_copy_False_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_chunk_jacrev_chunksize_one__preallocate_and_copy_True_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_chunk_jacrev_composition__preallocate_and_copy_False_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_chunk_jacrev_composition__preallocate_and_copy_True_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_complex_error_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_diff_numel_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_diff_numel_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_dimensionality_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_dimensionality_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_empty_argnums_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_empty_argnums_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_empty_output_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_empty_output_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_float_argnums_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_float_argnums_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_hessian_simple_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_inplace_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_inplace_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_jac_with_non_tensor_args_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_jac_with_non_tensor_args_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_args_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_args_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_inputs_outputs_pytree_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_inputs_outputs_pytree_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_inputs_outputs_pytree_multidim_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_inputs_outputs_pytree_multidim_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_inputs_pytree_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_inputs_pytree_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_outputs_multiple_argnums_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_outputs_multiple_argnums_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_outputs_pytree_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_outputs_pytree_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_outputs_single_argnums_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_multiple_outputs_single_argnums_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_negative_argnums_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_negative_argnums_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_nested_jac_simple_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_nested_jac_simple_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_out_of_bounds_argnums_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_out_of_bounds_argnums_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_outputs_can_any_pytree_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_outputs_can_any_pytree_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_repeated_argnums_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_repeated_argnums_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_simple_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_simple_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_simple_not_flat_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_simple_not_flat_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_take_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_take_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_unrelated_input_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_unrelated_input_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_unrelated_output_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_unrelated_output_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_vmap_on_jac_simple_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_vmap_on_jac_simple_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_autograd_function_disables_fwd_grad_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_aux_pytree_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_aux_tensor_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_disable_fwd_grad_inside_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_disable_fwd_grad_mixed_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_disable_fwd_grad_outside_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_inplace_on_captures_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_inputs_are_tuples_of_tensors_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_jvp_inside_autograd_function_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_jvp_new_tensor_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_multiple_inputs_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_multiple_inputs_outputs_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_multiple_outputs_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_nonempty_primals_and_tangents_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_outputs_can_any_pytree_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_primals_tangents_length_mismatch_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_pytree_inputs_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_pytree_inputs_error_cases_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_simple_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_strict_mode_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_unrelated_input_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_unrelated_output_cpu, test/functorch/test_eager_transforms.py::TestJvpCPU::test_zerotensor_vmapjvp_interaction_cpu, test/functorch/test_eager_transforms.py::TestLinearizeCPU::test_linearize_basic_cpu_float32, test/functorch/test_eager_transforms.py::TestLinearizeCPU::test_linearize_composition_grad_cpu_float32, test/functorch/test_eager_transforms.py::TestLinearizeCPU::test_linearize_composition_vmap_cpu_float32, test/functorch/test_eager_transforms.py::TestLinearizeCPU::test_linearize_errors_cpu, test/functorch/test_eager_transforms.py::TestLinearizeCPU::test_linearize_nested_input_nested_output_cpu_float32, test/functorch/test_eager_transforms.py::TestLinearizeCPU::test_linearize_return_cpu_float32, test/functorch/test_eager_transforms.py::TestVmapJvpInplaceViewCPU::test_all_dual_base_inplace_cpu, test/functorch/test_eager_transforms.py::TestVmapJvpInplaceViewCPU::test_all_dual_base_view_inplace_cpu, test/functorch/test_eager_transforms.py::TestVmapJvpInplaceViewCPU::test_all_dual_no_view_cpu, test/functorch/test_eager_transforms.py::TestVmapJvpInplaceViewCPU::test_right_dual_base_prop_cpu, test/functorch/test_eager_transforms.py::TestVmapJvpInplaceViewCPU::test_right_dual_view_prop_cpu, test/functorch/test_eager_transforms.py::TestHessianCPU::test_hessian_vectorize_correctness_multi_input_cpu, test/functorch/test_eager_transforms.py::TestHessianCPU::test_hessian_vectorize_correctness_simple_cpu, test/functorch/test_eager_transforms.py::TestHessianCPU::test_hessian_vectorize_correctness_unrelated_outputs_cpu, test/functorch/test_eager_transforms.py::TestHessianCPU::test_jacfwd_different_levels_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_autograd_function_no_setup_context_transform_functionalize_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_autograd_function_no_setup_context_transform_grad_and_value_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_autograd_function_no_setup_context_transform_grad_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_autograd_function_no_setup_context_transform_hessian_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_autograd_function_no_setup_context_transform_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_autograd_function_no_setup_context_transform_jacrev_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_autograd_function_no_setup_context_transform_vmap_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_autograd_functional_jacfwd_inside_transform_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_autograd_functional_jacrev_inside_transform_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_autograd_functional_jvp_inside_transform_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_autograd_functional_vjp_inside_transform_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_can_use_functionalize_when_key_is_excluded_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_can_use_grad_when_key_is_excluded_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_can_use_vmap_when_key_is_excluded_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_deprecation_transforms_transform_functionalize_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_deprecation_transforms_transform_grad_and_value_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_deprecation_transforms_transform_grad_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_deprecation_transforms_transform_hessian_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_deprecation_transforms_transform_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_deprecation_transforms_transform_jacrev_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_deprecation_vmap_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_grad_grad_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_grad_vjp_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_grad_vmap_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_jvp_supports_saved_tensor_hooks_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_make_fx_jacrev_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_make_fx_vjp_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_make_fx_vmap_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_no_warning_on_import_functorch_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_requires_grad_inside_transform_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_retain_grad_inside_transform_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_transforms_dont_support_saved_tensor_hooks_transform_grad_and_value_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_transforms_dont_support_saved_tensor_hooks_transform_grad_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_transforms_dont_support_saved_tensor_hooks_transform_hessian_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_transforms_dont_support_saved_tensor_hooks_transform_jacrev_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_vjp_doesnt_support_saved_tensor_hooks_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_vjp_grad_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_vjp_vjp_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_vjp_vmap_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_vmap_grad_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_vmap_vjp_cpu, test/functorch/test_eager_transforms.py::TestComposabilityCPU::test_vmap_vmap_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_ensemble_regression_mechanism_functional_call_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_ensemble_regression_mechanism_make_functional_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_find_learning_rate_ensembling_AlphaDropout_mechanism_functional_call_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_find_learning_rate_ensembling_AlphaDropout_mechanism_make_functional_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_find_learning_rate_ensembling_Dropout_mechanism_functional_call_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_find_learning_rate_ensembling_Dropout_mechanism_make_functional_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_find_learning_rate_ensembling_FeatureAlphaDropout_mechanism_functional_call_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_find_learning_rate_ensembling_FeatureAlphaDropout_mechanism_make_functional_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_lennard_jones_batched_jac_jac_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_lennard_jones_batched_jac_jac_jacrev_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_maml_omniglot_mechanism_functional_call_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_maml_omniglot_mechanism_make_functional_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_maml_regression_mechanism_functional_call_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_maml_regression_mechanism_make_functional_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_resnet18_per_sample_grads_mechanism_functional_call_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_resnet18_per_sample_grads_mechanism_make_functional_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_update_batch_norm_mechanism_functional_call_originally_track_running_stats_False_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_update_batch_norm_mechanism_functional_call_originally_track_running_stats_True_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_update_batch_norm_mechanism_make_functional_originally_track_running_stats_False_cpu, test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_update_batch_norm_mechanism_make_functional_originally_track_running_stats_True_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_basic_sum_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_functional_call_multiple_dicts_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_grad_grad_sum_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_grad_name_wrapping_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_grad_sum_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_no_grad_inside_grad_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_no_grad_outside_grad_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_vmap_grad_sum_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_vmap_sum_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fake_tensors_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_multi_out_op_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_out_op_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_reapply_views_simple_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_simple_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_transpose_simple_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_grad_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_nonfunctional_output_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_opt_tensor_list_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_optional_tensorlist1_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_optional_tensorlist2_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_inplace_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_linear_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_multioutput_inplace_slice_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_multioutput_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_resize_program_inputs_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_simple_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_vmap_functionalize_jvp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_grad_fn_name_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_needs_input_grads_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_once_differentiable_autograd_vjp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_once_differentiable_grad_vjp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_set_materialize_grads_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_has_vmap_staticmethod_and_has_generate_vmap_rule_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_in_dims_multiple_inputs_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_in_dims_single_input_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_incompatible_out_dims_error_msg_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_info_object_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_kwarg_only_tensors_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_no_vmap_staticmethod_and_no_generate_vmap_rule_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_none_returns_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_should_have_two_returns_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_skips_empty_layer_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_error_if_name_collision_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_nesting_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_overrides_saved_tensors_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_passthrough_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_debug_unwrap_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_reductify_leaf_cpu, test/functorch/test_eager_transforms.py::TestCompileTransformsCPU::test_compile_vmap_hessian_cpu, test/functorch/test_eager_transforms.py::TestCompileTransformsCPU::test_grad_deprecated_api_cpu 2025-08-26T20:37:48.5157496Z 2025-08-26T20:37:51.8113481Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:37:51.8115059Z import pkg_resources 2025-08-26T20:37:51.9363384Z Running inductor/test_flex_decoding 1/1 ... [2025-08-26 20:37:51.935966] 2025-08-26T20:37:51.9363977Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:37:51.9366766Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_flex_decoding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:37:51.936355] 2025-08-26T20:37:55.1765530Z 2025-08-26T20:37:55.1767680Z inductor/test_flex_decoding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_1.1_e8a738fde20bd4df_.log 2025-08-26T20:37:55.1769190Z 2025-08-26T20:37:58.7710800Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:37:58.7713986Z import pkg_resources 2025-08-26T20:37:58.9292641Z Running export/test_export_training_ir_to_run_decomp 1/1 ... [2025-08-26 20:37:58.928800] 2025-08-26T20:37:58.9294924Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:37:58.9299408Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_training_ir_to_run_decomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:37:58.929240] 2025-08-26T20:38:07.9739293Z 2025-08-26T20:38:07.9741597Z export/test_export_training_ir_to_run_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_0f2ea83e9d1d170e_.log 2025-08-26T20:38:07.9743647Z 2025-08-26T20:38:12.3319199Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:38:12.3323006Z import pkg_resources 2025-08-26T20:38:12.5139262Z Running inductor/test_torchinductor_opinfo 1/1 ... [2025-08-26 20:38:12.513170] 2025-08-26T20:38:12.5140324Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:38:12.5145885Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:12.513599] 2025-08-26T20:38:25.1993233Z 2025-08-26T20:38:25.1994956Z inductor/test_torchinductor_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_1.1_92ae61b3d2d1fdad_.log 2025-08-26T20:38:25.1996829Z 2025-08-26T20:38:30.1367726Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:38:30.1370823Z import pkg_resources 2025-08-26T20:38:30.3156949Z Running dynamo/cpython/3_13/test_generator_stop 1/1 ... [2025-08-26 20:38:30.315153] 2025-08-26T20:38:30.3157921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:38:30.3163504Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_generator_stop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:30.315891] 2025-08-26T20:38:34.8383320Z 2025-08-26T20:38:34.8386476Z dynamo/cpython/3_13/test_generator_stop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_generator_stop_1.1_8943ed9ff2ebadea_.log 2025-08-26T20:38:34.8389912Z Running 2 items in this shard: test/dynamo/cpython/3_13/test_generator_stop.py::TestPEP479::test_stopiteration_wrapping, test/dynamo/cpython/3_13/test_generator_stop.py::TestPEP479::test_stopiteration_wrapping_context 2025-08-26T20:38:34.8391859Z 2025-08-26T20:38:38.7102617Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:38:38.7105638Z import pkg_resources 2025-08-26T20:38:38.8347539Z Running dynamo/cpython/3_13/test_exception_variations 1/1 ... [2025-08-26 20:38:38.834271] 2025-08-26T20:38:38.8349104Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:38:38.8355217Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_exception_variations.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:38.834724] 2025-08-26T20:38:42.7060482Z 2025-08-26T20:38:42.7062027Z dynamo/cpython/3_13/test_exception_variations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_exception_variations_1.1_1fc3df85a652a0d7_.log 2025-08-26T20:38:42.7070591Z Running 15 items in this shard: test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_else, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_exception_in_else, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_exception_in_except, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_exception_in_finally_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_exception_in_finally_with_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_else, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_else_finally, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_else_finally_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_else_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_finally, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_finally_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_finally_no_exception 2025-08-26T20:38:42.7078381Z 2025-08-26T20:38:46.6135617Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:38:46.6138992Z import pkg_resources 2025-08-26T20:38:46.7955313Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-08-26 20:38:46.795017] 2025-08-26T20:38:46.7956149Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:38:46.7959399Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:46.795495] 2025-08-26T20:38:54.1518276Z 2025-08-26T20:38:54.1520378Z dynamo/test_fx_graph_runnable 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_graph_runnable_1.1_d4d6727708ee9f75_.log 2025-08-26T20:38:54.1521773Z 2025-08-26T20:38:57.7320845Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:38:57.7324624Z import pkg_resources 2025-08-26T20:38:57.9163400Z Running dynamo/cpython/3_13/test_int_literal 1/1 ... [2025-08-26 20:38:57.915832] 2025-08-26T20:38:57.9164380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:38:57.9167614Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_int_literal.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:57.916380] 2025-08-26T20:39:01.8446084Z 2025-08-26T20:39:01.8447686Z dynamo/cpython/3_13/test_int_literal 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_int_literal_1.1_add91873ae197662_.log 2025-08-26T20:39:01.8453427Z Running 6 items in this shard: test/dynamo/cpython/3_13/test_int_literal.py::TestHexOctBin::test_bin_baseline, test/dynamo/cpython/3_13/test_int_literal.py::TestHexOctBin::test_bin_unsigned, test/dynamo/cpython/3_13/test_int_literal.py::TestHexOctBin::test_hex_baseline, test/dynamo/cpython/3_13/test_int_literal.py::TestHexOctBin::test_hex_unsigned, test/dynamo/cpython/3_13/test_int_literal.py::TestHexOctBin::test_oct_baseline, test/dynamo/cpython/3_13/test_int_literal.py::TestHexOctBin::test_oct_unsigned 2025-08-26T20:39:01.8458134Z 2025-08-26T20:39:05.3015209Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:39:05.3018412Z import pkg_resources 2025-08-26T20:39:05.4242554Z Running dynamo/cpython/3_13/test_itertools 1/1 ... [2025-08-26 20:39:05.423688] 2025-08-26T20:39:05.4243755Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:39:05.4246248Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_itertools.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:05.424130] 2025-08-26T20:39:14.0520172Z 2025-08-26T20:39:14.0522127Z dynamo/cpython/3_13/test_itertools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_itertools_1.1_01cf9846b6733a90_.log 2025-08-26T20:39:14.0570987Z Running 139 items in this shard: test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_StopIteration, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_accumulate, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_batched, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_bug_7244, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_chain, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_chain_from_iterable, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_chain_reducible, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_chain_setstate, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_overflow, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_with_replacement, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_with_replacement_overflow, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_with_replacement_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_with_replacement_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinatorics, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_compress, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_count, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_count_threading, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_count_with_step, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_count_with_step_threading, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_cycle, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_cycle_copy_pickle, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_cycle_setstate, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_cycle_unpickle_compat, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_dropwhile, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_filter, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_filterfalse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_groupby, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_immutable_types, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_islice, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_map, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_pairwise, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_pairwise_reenter, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_pairwise_reenter2, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_pairwise_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_permutations, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_permutations_overflow, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_permutations_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_permutations_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_issue_25021, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_overflow, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_pickling, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_repeat, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_repeat_with_negative_times, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_starmap, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_takewhile, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee_concurrent, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee_dealloc_segfault, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee_del_backward, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee_reenter, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_longest_bad_iterable, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_longest_pickling, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_longest_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_longest_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_ziplongest, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_accumulate, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_accumulate_reducible, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_accumulate_reducible_none, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_chain, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_chain_from_iterable, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_combinations, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_combinations_with_replacement, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_compress, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_count, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_cycle, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_dropwhile, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_filter, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_filterfalse, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_groupby, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_islice, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_map, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_permutations, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_product, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_repeat, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_stapmap, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_takewhile, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_zip, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_zip_longest, test/dynamo/cpython/3_13/test_itertools.py::TestPurePythonRoughEquivalents::test_batched_recipe, test/dynamo/cpython/3_13/test_itertools.py::TestPurePythonRoughEquivalents::test_islice_recipe, test/dynamo/cpython/3_13/test_itertools.py::TestPurePythonRoughEquivalents::test_tee_recipe, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_accumulate, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_batched, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_chain, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_chain_from_iterable, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_combinations, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_combinations_with_replacement, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_compress, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_count, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_cycle, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_dropwhile, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_filter, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_filterfalse, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_groupby, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_islice, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_issue2246, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_map, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_pairwise, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_permutations, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_product, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_repeat, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_starmap, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_takewhile, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_zip, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_zip_longest, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_accumulate, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_batched, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_chain, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_compress, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_cycle, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_dropwhile, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_filter, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_filterfalse, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_groupby, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_islice, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_map, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_pairwise, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_product, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_starmap, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_takewhile, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_tee, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_zip, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_ziplongest, test/dynamo/cpython/3_13/test_itertools.py::LengthTransparency::test_repeat, test/dynamo/cpython/3_13/test_itertools.py::LengthTransparency::test_repeat_with_negative_times, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_issue30347_1, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_issue30347_2, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_long_chain_of_empty_iterables, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_sf_793826, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_sf_950057, test/dynamo/cpython/3_13/test_itertools.py::SubclassWithKwargsTest::test_keywords_in_subclass 2025-08-26T20:39:14.0617696Z 2025-08-26T20:39:17.1591629Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:39:17.1594867Z import pkg_resources 2025-08-26T20:39:17.2816845Z Running dynamo/cpython/3_13/test_contextlib 1/1 ... [2025-08-26 20:39:17.281263] 2025-08-26T20:39:17.2817753Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:39:17.2820131Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_contextlib.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:17.281667] 2025-08-26T20:39:21.5669710Z 2025-08-26T20:39:21.5672662Z dynamo/cpython/3_13/test_contextlib 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_contextlib_1.1_2e04fbb5e1382aef_.log 2025-08-26T20:39:21.5738458Z Running 91 items in this shard: test/dynamo/cpython/3_13/test_contextlib.py::TestAbstractContextManager::test_enter, test/dynamo/cpython/3_13/test_contextlib.py::TestAbstractContextManager::test_exit_is_abstract, test/dynamo/cpython/3_13/test_contextlib.py::TestAbstractContextManager::test_slots, test/dynamo/cpython/3_13/test_contextlib.py::TestAbstractContextManager::test_structural_subclassing, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_attribs, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_do_not_unchain_non_stopiteration_exceptions, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_doc_attrib, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_except, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_except_pep479, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_except_stopiter, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_finally, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_no_reraise, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_non_normalised, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_plain, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_traceback, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_trap_no_yield, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_trap_second_yield, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_trap_yield_after_throw, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_wrap_runtimeerror, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_instance_docstring_given_cm_docstring, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_keywords, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_nokeepref, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_param_errors, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_recursive, test/dynamo/cpython/3_13/test_contextlib.py::ClosingTestCase::test_closing, test/dynamo/cpython/3_13/test_contextlib.py::ClosingTestCase::test_closing_error, test/dynamo/cpython/3_13/test_contextlib.py::ClosingTestCase::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::NullcontextTestCase::test_nullcontext, test/dynamo/cpython/3_13/test_contextlib.py::FileContextTestCase::testWithOpen, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithBoundedSemaphore, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithCondition, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithLock, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithRLock, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithSemaphore, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_contextdecorator, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_contextdecorator_as_mixin, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_contextdecorator_with_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_contextmanager_as_decorator, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_decorating_method, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_decorator, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_decorator_with_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_typo_enter, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_typo_exit, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_body_exception_suppress, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_callback, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_close, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_dont_reraise_RuntimeError, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_enter_context, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_enter_context_errors, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_excessive_nesting, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_chaining, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_chaining_reference, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_chaining_suppress, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_explicit_none_context, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_non_suppressing, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_traceback, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_with_correct_context, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_with_existing_context, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_raise, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_suppress, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_instance_bypass, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_no_resources, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_pop_all, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_push, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_cm_is_reentrant, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_cm_is_reusable, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_enter_result_is_target, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_no_redirect_in_init, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_redirect_to_string_io, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_cm_is_reentrant, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_cm_is_reusable, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_enter_result_is_target, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_no_redirect_in_init, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_redirect_to_string_io, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_cm_is_reentrant, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_exact_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_exception_groups, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_exception_hierarchy, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_multiple_exception_args, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_no_args, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_no_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_no_result_from_enter, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_other_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestChdir::test_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestChdir::test_reentrant, test/dynamo/cpython/3_13/test_contextlib.py::TestChdir::test_simple 2025-08-26T20:39:21.5805859Z 2025-08-26T20:39:25.0358244Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:39:25.0361109Z import pkg_resources 2025-08-26T20:39:25.1584128Z Running dynamo/cpython/3_13/test_numeric_tower 1/1 ... [2025-08-26 20:39:25.158011] 2025-08-26T20:39:25.1585135Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:39:25.1587933Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_numeric_tower.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:25.158446] 2025-08-26T20:39:28.5787255Z 2025-08-26T20:39:28.5788970Z dynamo/cpython/3_13/test_numeric_tower 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_numeric_tower_1.1_ad9fb9e77ae5352c_.log 2025-08-26T20:39:28.5794370Z Running 9 items in this shard: test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_binary_floats, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_bools, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_complex, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_decimals, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_fractions, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_hash_normalization, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_integers, test/dynamo/cpython/3_13/test_numeric_tower.py::ComparisonTest::test_complex, test/dynamo/cpython/3_13/test_numeric_tower.py::ComparisonTest::test_mixed_comparisons 2025-08-26T20:39:28.5798660Z 2025-08-26T20:39:32.3651592Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:39:32.3654761Z import pkg_resources 2025-08-26T20:39:32.5474718Z Running dynamo/cpython/3_13/test_ordered_dict 1/1 ... [2025-08-26 20:39:32.546938] 2025-08-26T20:39:32.5475541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:39:32.5480549Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_ordered_dict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:32.547550] 2025-08-26T20:39:52.1093055Z 2025-08-26T20:39:52.1094723Z dynamo/cpython/3_13/test_ordered_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_ordered_dict_1.1_6c2e652e6af6d138_.log 2025-08-26T20:39:52.1339376Z Running 295 items in this shard: test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_468, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_abc, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_clear, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_copying, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_delitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_delitem_hash_collision, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_detect_deletion_during_iteration, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_clear, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_delitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_setdefault, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_setitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_update, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_equality, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_free_after_iterating, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_fromkeys, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_highly_nested, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_highly_nested_subclass, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_init, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_init_calls, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_issue119004_attribute_error, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_issue24347, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_issue24348, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_issue24667, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_iterators, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_iterators_empty, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_merge_operator, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_move_to_end, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_move_to_end_issue25406, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_ordered_dict_items_result_gc, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_overridden_init, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_override_update, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_pickle_recursive, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_popitem_last, 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test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_override_update, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_pickle_recursive, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_popitem_last, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_reduce_not_too_fat, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_reference_loop, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_reinsert, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_repr, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_repr_recursive, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_repr_recursive_values, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_setdefault, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_setitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_sizeof, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_sizeof_exact, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_sorted_iterators, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_update, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_views, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_weakref_list_is_not_traversed, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_yaml_linkage, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictWithSlotsCopyingTests::test_copying, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictWithSlotsCopyingTests::test_copying, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_bool, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_constructor, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_get, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_getitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_items, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_keys, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_len, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_read, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_setdefault, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_update, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_values, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_write, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_bool, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_constructor, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_get, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_getitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_items, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_keys, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_len, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_read, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_setdefault, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_update, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_values, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_write, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_bool, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_constructor, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_get, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_getitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_items, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_keys, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_len, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_read, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_setdefault, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_update, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_values, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_write, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_bool, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_constructor, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_get, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_getitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_items, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_keys, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_len, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_read, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_setdefault, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_update, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_values, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_write, test/dynamo/cpython/3_13/test_ordered_dict.py::PySimpleLRUCacheTests::test_add_after_full, test/dynamo/cpython/3_13/test_ordered_dict.py::PySimpleLRUCacheTests::test_change_order_on_get, test/dynamo/cpython/3_13/test_ordered_dict.py::PySimpleLRUCacheTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::PySimpleLRUCacheTests::test_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CSimpleLRUCacheTests::test_add_after_full, test/dynamo/cpython/3_13/test_ordered_dict.py::CSimpleLRUCacheTests::test_change_order_on_get, test/dynamo/cpython/3_13/test_ordered_dict.py::CSimpleLRUCacheTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::CSimpleLRUCacheTests::test_popitem 2025-08-26T20:39:52.1559803Z 2025-08-26T20:39:55.2199627Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:39:55.2202986Z import pkg_resources 2025-08-26T20:39:55.3419043Z Running dynamo/cpython/3_13/test_with 1/1 ... [2025-08-26 20:39:55.341491] 2025-08-26T20:39:55.3419974Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:39:55.3422711Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_with.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:55.341905] 2025-08-26T20:39:58.7618388Z 2025-08-26T20:39:58.7620148Z dynamo/cpython/3_13/test_with 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_with_1.1_a756f2e78d17ca95_.log 2025-08-26T20:39:58.7662845Z Running 51 items in this shard: test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testAssignmentToNoneError, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testAssignmentToTupleContainingNoneError, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testAssignmentToTupleOnlyContainingNoneError, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testEnterAttributeError1, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testEnterAttributeError2, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testEnterThrows, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testExitAttributeError, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testExitThrows, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testNameError, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testBoundGenerator, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testInlineGeneratorBoundSyntax, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testInlineGeneratorBoundToDottedVariable, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testInlineGeneratorBoundToExistingVariable, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testInlineGeneratorSyntax, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testNestedSingleStatements, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testUnboundGenerator, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testMultipleArgBound, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testMultipleArgUnbound, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgBoundToMultipleElementTupleError, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgBoundToNonTuple, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgBoundToSingleElementParenthesizedList, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgInlineGeneratorSyntax, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgUnbound, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testErrorsInBool, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testExceptionNormalized, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testMultipleResourcesInSingleStatement, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testNestedExceptionAfterInnerStatement, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testNestedExceptionBeforeInnerStatement, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testNestedSingleStatements, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedGeneratorExit1, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedGeneratorExit2, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedStopIteration1, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedStopIteration2, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedStopIteration3, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testSingleResource, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithBreak, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithContinue, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithRaise, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithReturn, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithYield, test/dynamo/cpython/3_13/test_with.py::AssignmentTargetTestCase::testMultipleComplexTargets, test/dynamo/cpython/3_13/test_with.py::AssignmentTargetTestCase::testSingleComplexTarget, test/dynamo/cpython/3_13/test_with.py::AssignmentTargetTestCase::testWithExtendedTargets, test/dynamo/cpython/3_13/test_with.py::ExitSwallowsExceptionTestCase::testExitFalseDoesntSwallowException, test/dynamo/cpython/3_13/test_with.py::ExitSwallowsExceptionTestCase::testExitTrueSwallowsException, test/dynamo/cpython/3_13/test_with.py::NestedWith::testEnterReturnsTuple, test/dynamo/cpython/3_13/test_with.py::NestedWith::testExceptionInEnter, test/dynamo/cpython/3_13/test_with.py::NestedWith::testExceptionInExit, test/dynamo/cpython/3_13/test_with.py::NestedWith::testExceptionInExprList, test/dynamo/cpython/3_13/test_with.py::NestedWith::testExceptionLocation, test/dynamo/cpython/3_13/test_with.py::NestedWith::testNoExceptions 2025-08-26T20:39:58.7704605Z 2025-08-26T20:40:01.8385490Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:40:01.8387057Z import pkg_resources 2025-08-26T20:40:01.9612054Z Running dynamo/cpython/3_13/test_baseexception 1/1 ... [2025-08-26 20:40:01.960803] 2025-08-26T20:40:01.9612670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:40:01.9615482Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_baseexception.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:40:01.961226] 2025-08-26T20:40:05.4805670Z 2025-08-26T20:40:05.4807371Z dynamo/cpython/3_13/test_baseexception 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_baseexception_1.1_5f46bca606d5c5ee_.log 2025-08-26T20:40:05.4817680Z Running 11 items in this shard: test/dynamo/cpython/3_13/test_baseexception.py::ExceptionClassTests::test_builtins_new_style, test/dynamo/cpython/3_13/test_baseexception.py::ExceptionClassTests::test_inheritance, test/dynamo/cpython/3_13/test_baseexception.py::ExceptionClassTests::test_interface_multi_arg, test/dynamo/cpython/3_13/test_baseexception.py::ExceptionClassTests::test_interface_no_arg, test/dynamo/cpython/3_13/test_baseexception.py::ExceptionClassTests::test_interface_single_arg, test/dynamo/cpython/3_13/test_baseexception.py::ExceptionClassTests::test_setstate_refcount_no_crash, test/dynamo/cpython/3_13/test_baseexception.py::UsageTests::test_catch_BaseException_instance, test/dynamo/cpython/3_13/test_baseexception.py::UsageTests::test_catch_non_BaseException, test/dynamo/cpython/3_13/test_baseexception.py::UsageTests::test_catch_string, test/dynamo/cpython/3_13/test_baseexception.py::UsageTests::test_raise_new_style_non_exception, test/dynamo/cpython/3_13/test_baseexception.py::UsageTests::test_raise_string 2025-08-26T20:40:05.4827015Z 2025-08-26T20:40:08.6239845Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:40:08.6242819Z import pkg_resources 2025-08-26T20:40:08.7466935Z Running dynamo/cpython/3_13/test_exceptions 1/1 ... [2025-08-26 20:40:08.746320] 2025-08-26T20:40:08.7467496Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:40:08.7470259Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_exceptions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:40:08.746730] 2025-08-26T20:40:27.8691198Z 2025-08-26T20:40:27.8693452Z dynamo/cpython/3_13/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_exceptions_1.1_0122ab38fce4e9af_.log 2025-08-26T20:40:27.8776482Z Running 102 items in this shard: test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testAttributes, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testChainingAttrs, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testChainingDescriptors, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testExceptionCleanupState, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testInfiniteRecursion, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testInvalidTraceback, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testKeywordArgs, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testMemoryErrorBigSource, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testNoneClearsTracebackAttr, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testRaising, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testSettingException, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testSyntaxErrorMessage, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testSyntaxErrorMissingParens, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testSyntaxErrorOffset, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testWithTraceback, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_3114, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_MemoryError, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_WindowsError, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_assert_shadowing, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_badisinstance, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_context_of_exception_in_else_and_finally, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_context_of_exception_in_except_and_finally, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_context_of_exception_in_try_and_finally, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_errno_ENOTDIR, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_error_offset_continuation_characters, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_exception_cleanup_names, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_exception_cleanup_names2, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_exception_target_in_nested_scope, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_exception_with_doc, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_close_cleanup_exc_state, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_del_cleanup_exc_state, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_doesnt_retain_old_exc, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_doesnt_retain_old_exc2, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_finalizing_and_sys_exception, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_leaking, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_leaking2, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_leaking3, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_leaking4, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_next_cleanup_exc_state, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_send_cleanup_exc_state, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_throw_cleanup_exc_state, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_invalid_delattr, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_invalid_setattr, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_invalid_setstate, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_memory_error_cleanup, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_memory_error_in_PyErr_PrintEx, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_memory_error_in_subinterp, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_memory_error_subclasses, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_no_hang_on_context_chain_cycle1, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_no_hang_on_context_chain_cycle2, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_no_hang_on_context_chain_cycle3, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_notes, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_raise_does_not_create_context_chain_cycle, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_raise_in_generator, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_recursion_error_cleanup, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_recursion_in_except_handler, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_recursion_normalizing_exception, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_recursion_normalizing_infinite_exception, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_recursion_normalizing_with_no_memory, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_setstate, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_str, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_trashcan_recursion, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_unhandled, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_unicode_change_attributes, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_unicode_error_str_does_not_crash, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_unicode_errors_no_object, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_unraisable, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_windows_message, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_yield_in_nested_try_excepts, test/dynamo/cpython/3_13/test_exceptions.py::NameErrorTests::test_gh_111654, test/dynamo/cpython/3_13/test_exceptions.py::NameErrorTests::test_issue45826, test/dynamo/cpython/3_13/test_exceptions.py::NameErrorTests::test_issue45826_focused, test/dynamo/cpython/3_13/test_exceptions.py::NameErrorTests::test_name_error_has_name, test/dynamo/cpython/3_13/test_exceptions.py::AttributeErrorTests::test_attributes, test/dynamo/cpython/3_13/test_exceptions.py::AttributeErrorTests::test_getattr_has_name_and_obj, test/dynamo/cpython/3_13/test_exceptions.py::AttributeErrorTests::test_getattr_has_name_and_obj_for_method, test/dynamo/cpython/3_13/test_exceptions.py::ImportErrorTests::test_attributes, test/dynamo/cpython/3_13/test_exceptions.py::ImportErrorTests::test_copy_pickle, test/dynamo/cpython/3_13/test_exceptions.py::ImportErrorTests::test_non_str_argument, test/dynamo/cpython/3_13/test_exceptions.py::ImportErrorTests::test_reset_attributes, test/dynamo/cpython/3_13/test_exceptions.py::AssertionErrorTests::test_assertion_error_location, test/dynamo/cpython/3_13/test_exceptions.py::AssertionErrorTests::test_multiline_not_highlighted, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_attributes_new_constructor, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_attributes_old_constructor, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_encodings, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_file_source, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_incorrect_constructor, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_non_utf8, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_range_of_offsets, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_string_source, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_subclass, test/dynamo/cpython/3_13/test_exceptions.py::TestInvalidExceptionMatcher::test_except_star_invalid_exception_type, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_after_other_except, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_after_raise_in_except, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_after_raise_in_with_exit, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_after_raise_simple, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_after_with, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_in_finally_except, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_in_finally_normal, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_in_named_except, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_in_try, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_missing_lineno_shows_as_none 2025-08-26T20:40:27.8955148Z 2025-08-26T20:40:31.0169334Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:40:31.0172281Z import pkg_resources 2025-08-26T20:40:31.1404697Z Running dynamo/cpython/3_13/test_raise 1/1 ... [2025-08-26 20:40:31.140060] 2025-08-26T20:40:31.1405532Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:40:31.1408360Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_raise.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:40:31.140471] 2025-08-26T20:40:34.6607770Z 2025-08-26T20:40:34.6609228Z dynamo/cpython/3_13/test_raise 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_raise_1.1_7d9836c0526f7314_.log 2025-08-26T20:40:34.6631121Z Running 37 items in this shard: test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_assert_with_tuple_arg, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_erroneous_exception, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_except_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_finally_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_invalid_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_nested_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_new_returns_invalid_instance, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_raise_from_None, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_with_reraise1, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_with_reraise2, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_yield_reraise, test/dynamo/cpython/3_13/test_raise.py::TestCause::testCauseSyntax, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_class_cause, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_class_cause_nonexception_result, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_erroneous_cause, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_instance_cause, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_invalid_cause, test/dynamo/cpython/3_13/test_raise.py::TestTraceback::test_accepts_traceback, test/dynamo/cpython/3_13/test_raise.py::TestTraceback::test_sets_traceback, test/dynamo/cpython/3_13/test_raise.py::TestTracebackType::test_attrs, test/dynamo/cpython/3_13/test_raise.py::TestTracebackType::test_constructor, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_3118, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_3611, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_c_exception_context, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_c_exception_raise, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_class_context_class_raise, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_class_context_instance_raise, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_context_manager, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_cycle_broken, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_instance_context_instance_raise, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_noraise_finally, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_not_last, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_raise_finally, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_reraise_cycle_broken, test/dynamo/cpython/3_13/test_raise.py::TestRemovedFunctionality::test_strings, test/dynamo/cpython/3_13/test_raise.py::TestRemovedFunctionality::test_tuples 2025-08-26T20:40:34.6653148Z 2025-08-26T20:40:37.8433479Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:40:37.8436401Z import pkg_resources 2025-08-26T20:40:37.9668630Z Running dynamo/cpython/3_13/test_userlist 1/1 ... [2025-08-26 20:40:37.966423] 2025-08-26T20:40:37.9669459Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:40:37.9671701Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_userlist.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:40:37.966833] 2025-08-26T20:40:42.3397914Z 2025-08-26T20:40:42.3399451Z dynamo/cpython/3_13/test_userlist 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_userlist_1.1_f5b25e0e22a6c55f_.log 2025-08-26T20:40:42.3416679Z Running 51 items in this shard: test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_add_specials, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_addmul, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_append, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_bigrepeat, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_clear, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_constructor_exception_handling, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_constructors, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_contains, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_contains_fake, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_contains_order, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_copy, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_count, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_delitem, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_delslice, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_exhausted_iterator, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_extend, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_extendedslicing, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_free_after_iterating, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_getitem, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_getitem_error, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_getitemoverwriteiter, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_getslice, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_iadd, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_imul, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_index, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_init, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_insert, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_len, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_minmax, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_mixedadd, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_mixedcmp, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_pickle, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_pop, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_radd_specials, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_remove, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_repeat, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_repr, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_repr_deep, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_reverse, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_reversed, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_set_subscript, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_setitem, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_setitem_error, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_setslice, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_slice, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_slice_assign_iterator, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_slice_type, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_sort, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_subscript, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_truth, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_userlist_copy 2025-08-26T20:40:42.3432837Z 2025-08-26T20:40:45.7284895Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:40:45.7287372Z import pkg_resources 2025-08-26T20:40:45.8521793Z Running dynamo/cpython/3_13/test_generators 1/1 ... [2025-08-26 20:40:45.851325] 2025-08-26T20:40:45.8525803Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:40:45.8527939Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_generators.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:40:45.851770] 2025-08-26T20:40:52.5789651Z 2025-08-26T20:40:52.5791676Z dynamo/cpython/3_13/test_generators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_generators_1.1_76736096b71e6645_.log 2025-08-26T20:40:52.5831733Z Running 43 items in this shard: test/dynamo/cpython/3_13/test_generators.py::SignalAndYieldFromTest::test_raise_and_yield_from, test/dynamo/cpython/3_13/test_generators.py::FinalizationTest::test_frame_resurrect, test/dynamo/cpython/3_13/test_generators.py::FinalizationTest::test_lambda_generator, test/dynamo/cpython/3_13/test_generators.py::FinalizationTest::test_refcycle, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_ag_frame_f_back, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_copy, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_cr_frame_f_back, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_genexpr_only_calls_dunder_iter_once, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_gi_frame_f_back, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_handle_frame_object_in_creation, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_issue103488, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_name, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_pickle, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_send_non_none_to_new_gen, test/dynamo/cpython/3_13/test_generators.py::ModifyUnderlyingIterableTest::test_modify_f_locals, test/dynamo/cpython/3_13/test_generators.py::ModifyUnderlyingIterableTest::test_new_gen_from_gi_code, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_except_gen_except, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_except_next, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_except_throw, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_except_throw_bad_exception, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_except_throw_exception_context, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_gen_3_arg_deprecation_warning, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_nested_gen_except_loop, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_return_stopiteration, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_return_tuple, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_stopiteration_error, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_tutorial_stopiteration, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_closed, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_exhausted, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_no_return_value, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_not_catching_exit, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_not_started, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_raises, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_releases_frame_locals, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_return_value, test/dynamo/cpython/3_13/test_generators.py::GeneratorThrowTest::test_exception_context_with_yield, test/dynamo/cpython/3_13/test_generators.py::GeneratorThrowTest::test_exception_context_with_yield_from, test/dynamo/cpython/3_13/test_generators.py::GeneratorThrowTest::test_exception_context_with_yield_from_with_context_cycle, test/dynamo/cpython/3_13/test_generators.py::GeneratorThrowTest::test_exception_context_with_yield_inside_generator, test/dynamo/cpython/3_13/test_generators.py::GeneratorThrowTest::test_throw_after_none_exc_type, test/dynamo/cpython/3_13/test_generators.py::GeneratorStackTraceTest::test_send_with_yield_from, test/dynamo/cpython/3_13/test_generators.py::GeneratorStackTraceTest::test_throw_with_yield_from, test/dynamo/cpython/3_13/test_generators.py::YieldFromTests::test_generator_gi_yieldfrom 2025-08-26T20:40:52.5867140Z 2025-08-26T20:40:56.6832682Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:40:56.6836075Z import pkg_resources 2025-08-26T20:40:56.8605918Z Running inductor/test_pattern_matcher 1/1 ... [2025-08-26 20:40:56.860178] 2025-08-26T20:40:56.8607334Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:40:56.8610380Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:40:56.860619] 2025-08-26T20:41:04.5088517Z 2025-08-26T20:41:04.5090045Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_be407fa619dfb738_.log 2025-08-26T20:41:04.5092170Z 2025-08-26T20:41:07.9532432Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:41:07.9535990Z import pkg_resources 2025-08-26T20:41:08.0760355Z Running inductor/test_analysis 1/1 ... [2025-08-26 20:41:08.075628] 2025-08-26T20:41:08.0761051Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:41:08.0762798Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_analysis.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:41:08.075996] 2025-08-26T20:41:16.2546650Z 2025-08-26T20:41:16.2548198Z inductor/test_analysis 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_analysis_1.1_7a4b605ef0d439a0_.log 2025-08-26T20:41:16.2572568Z Running 28 items in this shard: test/inductor/test_analysis.py::TestUtils::test_tabulate2d, test/inductor/test_analysis.py::TestUtils::test_zip_dicts, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat0_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat0_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat1_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat1_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat2_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat2_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat3_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat3_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_helper_unit_cpu, test/inductor/test_analysis.py::TestAnalysisCPU::test_combine_profiles_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_combine_profiles_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_diff_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_diff_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_diff_cpu_float64, test/inductor/test_analysis.py::TestAnalysisCPU::test_noop_cpu, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat0_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat0_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat1_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat1_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat2_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat2_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat3_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat3_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_triton_has_metadata_maxat0_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_triton_has_metadata_maxat0_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_triton_has_metadata_maxat0_cpu_float64 2025-08-26T20:41:16.2584966Z 2025-08-26T20:41:19.5602568Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:41:19.5605838Z import pkg_resources 2025-08-26T20:41:19.6829219Z Running dynamo/cpython/3_13/test_int 1/1 ... [2025-08-26 20:41:19.682366] 2025-08-26T20:41:19.6830125Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:41:19.6833705Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_int.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:41:19.682941] 2025-08-26T20:41:25.7575147Z 2025-08-26T20:41:25.7576825Z dynamo/cpython/3_13/test_int 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_int_1.1_e027019f254be440_.log 2025-08-26T20:41:25.7597202Z Running 46 items in this shard: test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_basic, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_error_message, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_base_bad_types, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_base_indexable, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_base_limits, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_memoryview, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_returns_int_subclass, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_subclass_with_index, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_subclass_with_int, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_intconversion, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_invalid_signs, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_issue31619, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_keyword_args, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_no_args, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_non_numeric_input_types, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_small_ints, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_string_float, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_underscores, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_unicode, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_denial_of_service_prevented_int_to_str, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_denial_of_service_prevented_str_to_int, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_disabled_limit, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_int_from_other_bases, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_int_max_str_digits_is_per_interpreter, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_max_str_digits, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_max_str_digits_edge_cases, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_power_of_two_bases_unlimited, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_sign_not_counted, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_underscores_ignored, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_denial_of_service_prevented_int_to_str, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_denial_of_service_prevented_str_to_int, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_disabled_limit, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_int_from_other_bases, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_int_max_str_digits_is_per_interpreter, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_max_str_digits, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_max_str_digits_edge_cases, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_power_of_two_bases_unlimited, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_sign_not_counted, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_underscores_ignored, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_int_divmod, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_int_to_decimal, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_int_to_decimal_2, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_misbehavior_error_path_from_str, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_misbehavior_error_path_to_str, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_roundtrip, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_str_to_int 2025-08-26T20:41:25.7616030Z 2025-08-26T20:41:29.1358097Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:41:29.1359665Z import pkg_resources 2025-08-26T20:41:29.2599402Z Running dynamo/cpython/3_13/test_userdict 1/1 ... [2025-08-26 20:41:29.259555] 2025-08-26T20:41:29.2600022Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:41:29.2602709Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_userdict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:41:29.259941] 2025-08-26T20:41:32.6289843Z 2025-08-26T20:41:32.6291407Z dynamo/cpython/3_13/test_userdict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_userdict_1.1_06207be31c0da0a1_.log 2025-08-26T20:41:32.6299678Z Running 25 items in this shard: test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_all, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_bool, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_clear, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_constructor, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_contains, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_copy, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_eq, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_fromkeys, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_get, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_getitem, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_init, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_items, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_keys, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_len, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_missing, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_mutatingiteration, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_pop, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_popitem, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_read, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_repr, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_repr_deep, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_setdefault, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_update, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_values, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_write 2025-08-26T20:41:32.6307659Z 2025-08-26T20:41:35.8580689Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:41:35.8582263Z import pkg_resources 2025-08-26T20:41:35.9815683Z Running dynamo/cpython/3_13/test_defaultdict 1/1 ... [2025-08-26 20:41:35.981156] 2025-08-26T20:41:35.9816369Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:41:35.9818123Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_defaultdict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:41:35.981524] 2025-08-26T20:41:39.3012868Z 2025-08-26T20:41:39.3014623Z dynamo/cpython/3_13/test_defaultdict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_defaultdict_1.1_4cb1c62578513cd6_.log 2025-08-26T20:41:39.3023756Z Running 11 items in this shard: test/dynamo/cpython/3_13/test_defaultdict.py::TestDefaultDict::test_basic, test/dynamo/cpython/3_13/test_defaultdict.py::TestDefaultDict::test_callable_arg, test/dynamo/cpython/3_13/test_defaultdict.py::TestDefaultDict::test_copy, test/dynamo/cpython/3_13/test_defaultdict.py::TestDefaultDict::test_deep_copy, test/dynamo/cpython/3_13/test_defaultdict.py::TestDefaultDict::test_keyerror_without_factory, test/dynamo/cpython/3_13/test_defaultdict.py::TestDefaultDict::test_missing, test/dynamo/cpython/3_13/test_defaultdict.py::TestDefaultDict::test_pickling, test/dynamo/cpython/3_13/test_defaultdict.py::TestDefaultDict::test_recursive_repr, test/dynamo/cpython/3_13/test_defaultdict.py::TestDefaultDict::test_repr, test/dynamo/cpython/3_13/test_defaultdict.py::TestDefaultDict::test_shallow_copy, test/dynamo/cpython/3_13/test_defaultdict.py::TestDefaultDict::test_union 2025-08-26T20:41:39.3031583Z 2025-08-26T20:41:42.4354786Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:41:42.4357664Z import pkg_resources 2025-08-26T20:41:42.5577559Z Running dynamo/cpython/3_13/test_collections 1/1 ... [2025-08-26 20:41:42.557347] 2025-08-26T20:41:42.5578524Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:41:42.5580698Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_collections.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:41:42.557719] 2025-08-26T20:41:47.1294222Z 2025-08-26T20:41:47.1295987Z dynamo/cpython/3_13/test_collections 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_collections_1.1_df2a332cc1190ef8_.log 2025-08-26T20:41:47.1366108Z Running 100 items in this shard: test/dynamo/cpython/3_13/test_collections.py::TestUserObjects::test_dict_copy, test/dynamo/cpython/3_13/test_collections.py::TestUserObjects::test_dict_missing, test/dynamo/cpython/3_13/test_collections.py::TestUserObjects::test_dict_protocol, test/dynamo/cpython/3_13/test_collections.py::TestUserObjects::test_list_copy, test/dynamo/cpython/3_13/test_collections.py::TestUserObjects::test_list_protocol, test/dynamo/cpython/3_13/test_collections.py::TestUserObjects::test_str_protocol, test/dynamo/cpython/3_13/test_collections.py::TestChainMap::test_basics, test/dynamo/cpython/3_13/test_collections.py::TestChainMap::test_bool, test/dynamo/cpython/3_13/test_collections.py::TestChainMap::test_constructor, test/dynamo/cpython/3_13/test_collections.py::TestChainMap::test_dict_coercion, test/dynamo/cpython/3_13/test_collections.py::TestChainMap::test_iter_not_calling_getitem_on_maps, test/dynamo/cpython/3_13/test_collections.py::TestChainMap::test_missing, test/dynamo/cpython/3_13/test_collections.py::TestChainMap::test_new_child, test/dynamo/cpython/3_13/test_collections.py::TestChainMap::test_order_preservation, test/dynamo/cpython/3_13/test_collections.py::TestChainMap::test_ordering, test/dynamo/cpython/3_13/test_collections.py::TestChainMap::test_union_operators, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_copy, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_defaults, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_factory, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_factory_doc_attr, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_field_descriptor, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_field_doc, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_field_doc_reuse, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_field_repr, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_instance, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_keyword_only_arguments, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_large_size, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_match_args, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_module_parameter, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_name_conflicts, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_name_fixer, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_namedtuple_subclass_issue_24931, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_new_builtins_issue_43102, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_non_generic_subscript, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_odd_sizes, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_pickle, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_readonly, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_repr, test/dynamo/cpython/3_13/test_collections.py::TestNamedTuple::test_tupleness, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_AsyncGenerator, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_AsyncIterable, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_AsyncIterator, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_Awaitable, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_Callable, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_Collection, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_Container, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_Coroutine, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_Generator, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_Hashable, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_Iterable, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_Iterator, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_Reversible, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_Sized, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_direct_subclassing, test/dynamo/cpython/3_13/test_collections.py::TestOneTrickPonyABCs::test_registration, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_Buffer, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_ByteString, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_Mapping, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_MutableMapping, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_MutableMapping_subclass, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_MutableSequence, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_MutableSequence_mixins, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_MutableSet, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_Sequence, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_Sequence_mixins, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_Set, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_Set_from_iterable, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_Set_hash_matches_frozenset, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_Set_interoperability_with_real_sets, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_arithmetic_Set, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_equality_Set, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_hash_Set, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_illegal_patma_flags, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_isdisjoint_Set, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_issue16373, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_issue26915, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_issue8750, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_issue_4920, test/dynamo/cpython/3_13/test_collections.py::TestCollectionABCs::test_issue_5647, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_basics, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_conversions, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_copy_subclass, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_copying, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_eq, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_ge, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_gt, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_helper_function, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_init, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_inplace_operations, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_invariant_for_the_in_operator, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_le, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_lt, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_multiset_operations, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_multiset_operations_equivalent_to_set_operations, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_order_preservation, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_repr_nonsortable, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_subtract, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_total, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_unary, test/dynamo/cpython/3_13/test_collections.py::TestCounter::test_update 2025-08-26T20:41:47.1434019Z 2025-08-26T20:41:50.5173417Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:41:50.5176833Z import pkg_resources 2025-08-26T20:41:50.6963164Z Running dynamo/cpython/3_13/test_heapq 1/1 ... [2025-08-26 20:41:50.695370] 2025-08-26T20:41:50.6965090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:41:50.6967381Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_heapq.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:41:50.695924] 2025-08-26T20:41:54.5799941Z 2025-08-26T20:41:54.5801749Z dynamo/cpython/3_13/test_heapq 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_heapq_1.1_2077b1c9adcbaa67_.log 2025-08-26T20:41:54.5833844Z Running 50 items in this shard: test/dynamo/cpython/3_13/test_heapq.py::TestModules::test_c_functions, test/dynamo/cpython/3_13/test_heapq.py::TestModules::test_py_functions, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_comparison_operator, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_empty_merges, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_heapify, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_heappop_max, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_heappushpop, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_heapsort, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_merge, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_merge_does_not_suppress_index_error, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_merge_stability, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_naive_nbest, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_nbest, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_nbest_with_pushpop, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_nlargest, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_nsmallest, test/dynamo/cpython/3_13/test_heapq.py::TestHeapPython::test_push_pop, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_comparison_operator, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_empty_merges, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_heapify, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_heappop_max, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_heappushpop, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_heapsort, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_merge, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_merge_does_not_suppress_index_error, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_merge_stability, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_naive_nbest, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_nbest, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_nbest_with_pushpop, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_nlargest, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_nsmallest, test/dynamo/cpython/3_13/test_heapq.py::TestHeapC::test_push_pop, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingPython::test_arg_parsing, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingPython::test_cmp_err, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingPython::test_comparison_operator_modifiying_heap, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingPython::test_comparison_operator_modifiying_heap_two_heaps, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingPython::test_heappop_mutating_heap, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingPython::test_heappush_mutating_heap, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingPython::test_iterable_args, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingPython::test_len_only, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingPython::test_non_sequence, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingC::test_arg_parsing, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingC::test_cmp_err, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingC::test_comparison_operator_modifiying_heap, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingC::test_comparison_operator_modifiying_heap_two_heaps, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingC::test_heappop_mutating_heap, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingC::test_heappush_mutating_heap, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingC::test_iterable_args, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingC::test_len_only, test/dynamo/cpython/3_13/test_heapq.py::TestErrorHandlingC::test_non_sequence 2025-08-26T20:41:54.5864772Z 2025-08-26T20:41:57.6845560Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:41:57.6848826Z import pkg_resources 2025-08-26T20:41:57.8071472Z Running dynamo/cpython/3_13/test_cmath 1/1 ... [2025-08-26 20:41:57.806676] 2025-08-26T20:41:57.8072220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:41:57.8073528Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_cmath.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:41:57.807040] 2025-08-26T20:42:01.1762457Z 2025-08-26T20:42:01.1764002Z dynamo/cpython/3_13/test_cmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_cmath_1.1_7f948ee07318dff4_.log 2025-08-26T20:42:01.1785032Z Running 33 items in this shard: test/dynamo/cpython/3_13/test_cmath.py::CMathTests::testAtanSign, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::testAtanhSign, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::testTanhSign, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_abs, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_abs_overflows, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_cmath_matches_math, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_constants, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_infinity_and_nan_constants, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_input_type, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_isfinite, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_isinf, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_isnan, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_phase, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_polar, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_polar_errno, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_rect, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_specific_values, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_user_object, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_asymmetry, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_complex_near_zero, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_complex_special, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_complex_values, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_decimals, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_eight_decimal_places, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_fractions, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_identical, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_identical_infinite, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_inf_ninf_nan, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_integers, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_near_zero, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_negative_tolerances, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_reject_complex_tolerances, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_zero_tolerance 2025-08-26T20:42:01.1804759Z 2025-08-26T20:42:04.2989865Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:42:04.2992883Z import pkg_resources 2025-08-26T20:42:04.4220704Z Running dynamo/cpython/3_13/test_operator 1/1 ... [2025-08-26 20:42:04.421673] 2025-08-26T20:42:04.4221511Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:42:04.4223432Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_operator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:42:04.422026] 2025-08-26T20:42:08.0939257Z 2025-08-26T20:42:08.0940995Z dynamo/cpython/3_13/test_operator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_operator_1.1_10ad07c718827440_.log 2025-08-26T20:42:08.1010107Z Running 106 items in this shard: test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test___all__, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_abs, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_add, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_attrgetter, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_attrgetter_signature, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_bitwise_and, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_bitwise_or, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_bitwise_xor, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_call, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_concat, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_contains, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_countOf, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_delitem, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_dunder_is_original, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_eq, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_floordiv, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_ge, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_getitem, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_gt, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_iconcat_without_getitem, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_index, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_indexOf, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_inplace, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_invert, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_is, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_is_not, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_itemgetter, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_itemgetter_signature, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_le, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_length_hint, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_lshift, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_lt, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_matmul, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_methodcaller, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_methodcaller_signature, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_mod, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_mul, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_ne, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_neg, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_not_, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_pos, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_pow, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_rshift, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_setitem, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_sub, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_truediv, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_truth, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test___all__, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_abs, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_add, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_attrgetter, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_attrgetter_signature, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_bitwise_and, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_bitwise_or, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_bitwise_xor, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_call, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_concat, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_contains, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_countOf, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_delitem, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_dunder_is_original, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_eq, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_floordiv, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_ge, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_getitem, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_gt, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_iconcat_without_getitem, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_index, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_indexOf, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_inplace, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_invert, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_is, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_is_not, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_itemgetter, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_itemgetter_signature, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_le, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_length_hint, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_lshift, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_lt, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_matmul, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_methodcaller, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_methodcaller_signature, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_mod, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_mul, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_ne, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_neg, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_not_, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_pos, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_pow, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_rshift, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_setitem, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_sub, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_truediv, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_truth, test/dynamo/cpython/3_13/test_operator.py::PyPyOperatorPickleTestCase::test_attrgetter, test/dynamo/cpython/3_13/test_operator.py::PyPyOperatorPickleTestCase::test_itemgetter, test/dynamo/cpython/3_13/test_operator.py::PyPyOperatorPickleTestCase::test_methodcaller, test/dynamo/cpython/3_13/test_operator.py::PyCOperatorPickleTestCase::test_attrgetter, test/dynamo/cpython/3_13/test_operator.py::PyCOperatorPickleTestCase::test_itemgetter, test/dynamo/cpython/3_13/test_operator.py::PyCOperatorPickleTestCase::test_methodcaller, test/dynamo/cpython/3_13/test_operator.py::CPyOperatorPickleTestCase::test_attrgetter, test/dynamo/cpython/3_13/test_operator.py::CPyOperatorPickleTestCase::test_itemgetter, test/dynamo/cpython/3_13/test_operator.py::CPyOperatorPickleTestCase::test_methodcaller, test/dynamo/cpython/3_13/test_operator.py::CCOperatorPickleTestCase::test_attrgetter, test/dynamo/cpython/3_13/test_operator.py::CCOperatorPickleTestCase::test_itemgetter, test/dynamo/cpython/3_13/test_operator.py::CCOperatorPickleTestCase::test_methodcaller 2025-08-26T20:42:08.1080279Z 2025-08-26T20:42:11.9582049Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:42:11.9585128Z import pkg_resources 2025-08-26T20:42:12.1356746Z Running dynamo/cpython/3_13/test_set 1/1 ... [2025-08-26 20:42:12.135197] 2025-08-26T20:42:12.1357703Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:42:12.1360649Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_set.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:42:12.135678] 2025-08-26T20:42:22.6201785Z 2025-08-26T20:42:22.6203079Z dynamo/cpython/3_13/test_set 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_set_1.1_afd0c5b8b3adcbcf_.log 2025-08-26T20:42:22.6427622Z Running 623 items in this shard: test/dynamo/cpython/3_13/test_set.py::TestSet::test_add, test/dynamo/cpython/3_13/test_set.py::TestSet::test_and, test/dynamo/cpython/3_13/test_set.py::TestSet::test_badcmp, test/dynamo/cpython/3_13/test_set.py::TestSet::test_clear, test/dynamo/cpython/3_13/test_set.py::TestSet::test_constructor_identity, test/dynamo/cpython/3_13/test_set.py::TestSet::test_container_iterator, test/dynamo/cpython/3_13/test_set.py::TestSet::test_contains, test/dynamo/cpython/3_13/test_set.py::TestSet::test_copy, test/dynamo/cpython/3_13/test_set.py::TestSet::test_cyclical_repr, test/dynamo/cpython/3_13/test_set.py::TestSet::test_deepcopy, test/dynamo/cpython/3_13/test_set.py::TestSet::test_difference, test/dynamo/cpython/3_13/test_set.py::TestSet::test_difference_update, test/dynamo/cpython/3_13/test_set.py::TestSet::test_discard, test/dynamo/cpython/3_13/test_set.py::TestSet::test_do_not_rehash_dict_keys, test/dynamo/cpython/3_13/test_set.py::TestSet::test_equality, test/dynamo/cpython/3_13/test_set.py::TestSet::test_free_after_iterating, test/dynamo/cpython/3_13/test_set.py::TestSet::test_gc, test/dynamo/cpython/3_13/test_set.py::TestSet::test_hash, test/dynamo/cpython/3_13/test_set.py::TestSet::test_iand, test/dynamo/cpython/3_13/test_set.py::TestSet::test_init, test/dynamo/cpython/3_13/test_set.py::TestSet::test_inplace_on_self, test/dynamo/cpython/3_13/test_set.py::TestSet::test_intersection, test/dynamo/cpython/3_13/test_set.py::TestSet::test_intersection_update, test/dynamo/cpython/3_13/test_set.py::TestSet::test_ior, test/dynamo/cpython/3_13/test_set.py::TestSet::test_isdisjoint, 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test/dynamo/cpython/3_13/test_set.py::TestOnlySetsGenerator::test_sym_difference_update_operator, test/dynamo/cpython/3_13/test_set.py::TestOnlySetsGenerator::test_union, test/dynamo/cpython/3_13/test_set.py::TestOnlySetsGenerator::test_update, test/dynamo/cpython/3_13/test_set.py::TestOnlySetsGenerator::test_update_operator, test/dynamo/cpython/3_13/test_set.py::TestCopyingEmpty::test_copy, test/dynamo/cpython/3_13/test_set.py::TestCopyingEmpty::test_deep_copy, test/dynamo/cpython/3_13/test_set.py::TestCopyingSingleton::test_copy, test/dynamo/cpython/3_13/test_set.py::TestCopyingSingleton::test_deep_copy, test/dynamo/cpython/3_13/test_set.py::TestCopyingTriple::test_copy, test/dynamo/cpython/3_13/test_set.py::TestCopyingTriple::test_deep_copy, test/dynamo/cpython/3_13/test_set.py::TestCopyingTuple::test_copy, test/dynamo/cpython/3_13/test_set.py::TestCopyingTuple::test_deep_copy, test/dynamo/cpython/3_13/test_set.py::TestCopyingNested::test_copy, test/dynamo/cpython/3_13/test_set.py::TestCopyingNested::test_deep_copy, test/dynamo/cpython/3_13/test_set.py::TestIdentities::test_binopsVsSubsets, test/dynamo/cpython/3_13/test_set.py::TestIdentities::test_commutativity, test/dynamo/cpython/3_13/test_set.py::TestIdentities::test_exclusion, test/dynamo/cpython/3_13/test_set.py::TestIdentities::test_summations, test/dynamo/cpython/3_13/test_set.py::TestVariousIteratorArgs::test_constructor, test/dynamo/cpython/3_13/test_set.py::TestVariousIteratorArgs::test_inline_methods, test/dynamo/cpython/3_13/test_set.py::TestVariousIteratorArgs::test_inplace_methods, test/dynamo/cpython/3_13/test_set.py::TestWeirdBugs::test_8420_set_merge, test/dynamo/cpython/3_13/test_set.py::TestWeirdBugs::test_iter_and_mutate, test/dynamo/cpython/3_13/test_set.py::TestWeirdBugs::test_merge_and_mutate, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_and_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_eq_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_ge_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_gt_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_iadd_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_ior_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_isub_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_iteration_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_ixor_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_le_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_lt_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_ne_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_or_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_sub_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Set::test_xor_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_and_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_eq_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_ge_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_gt_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_iadd_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_ior_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_isub_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_iteration_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_ixor_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_le_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_lt_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_ne_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_or_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_sub_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Subclass::test_xor_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_and_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_eq_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_ge_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_gt_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_iadd_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_ior_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_isub_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_iteration_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_ixor_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_le_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_lt_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_ne_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_or_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_sub_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Set_Subclass::test_xor_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_and_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_eq_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_ge_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_gt_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_iadd_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_ior_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_isub_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_iteration_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_ixor_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_le_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_lt_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_ne_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_or_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_sub_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_xor_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_intersection_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_intersection_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_isdisjoint_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_issubset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_issuperset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_symmetric_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_symmetric_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_union_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_intersection_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_intersection_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_isdisjoint_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_issubset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_issuperset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_symmetric_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_symmetric_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_union_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_intersection_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_intersection_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_isdisjoint_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_issubset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_issuperset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_symmetric_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_symmetric_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_union_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_intersection_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_intersection_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_isdisjoint_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_issubset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_issuperset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_symmetric_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_symmetric_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_union_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_intersection_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_intersection_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_isdisjoint_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_issubset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_issuperset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_symmetric_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_symmetric_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_union_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_intersection_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_intersection_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_isdisjoint_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_issubset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_issuperset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_symmetric_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_symmetric_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_union_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestGraphs::test_cube, test/dynamo/cpython/3_13/test_set.py::TestGraphs::test_cuboctahedron 2025-08-26T20:42:22.6644976Z 2025-08-26T20:42:25.8283532Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:42:25.8287029Z import pkg_resources 2025-08-26T20:42:25.9518145Z Running dynamo/cpython/3_13/test_math 1/1 ... [2025-08-26 20:42:25.950921] 2025-08-26T20:42:25.9519404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:42:25.9521498Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_math.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:42:25.951337] 2025-08-26T20:42:55.2032023Z 2025-08-26T20:42:55.2035380Z dynamo/cpython/3_13/test_math 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_math_1.1_6e05d9707d72611c_.log 2025-08-26T20:42:55.2077838Z Running 84 items in this shard: test/dynamo/cpython/3_13/test_math.py::MathTests::testAcos, test/dynamo/cpython/3_13/test_math.py::MathTests::testAcosh, test/dynamo/cpython/3_13/test_math.py::MathTests::testAsin, test/dynamo/cpython/3_13/test_math.py::MathTests::testAsinh, test/dynamo/cpython/3_13/test_math.py::MathTests::testAtan, test/dynamo/cpython/3_13/test_math.py::MathTests::testAtan2, test/dynamo/cpython/3_13/test_math.py::MathTests::testAtanh, test/dynamo/cpython/3_13/test_math.py::MathTests::testCbrt, test/dynamo/cpython/3_13/test_math.py::MathTests::testCeil, test/dynamo/cpython/3_13/test_math.py::MathTests::testComb, test/dynamo/cpython/3_13/test_math.py::MathTests::testConstants, test/dynamo/cpython/3_13/test_math.py::MathTests::testCopysign, test/dynamo/cpython/3_13/test_math.py::MathTests::testCos, test/dynamo/cpython/3_13/test_math.py::MathTests::testCosh, test/dynamo/cpython/3_13/test_math.py::MathTests::testDegrees, test/dynamo/cpython/3_13/test_math.py::MathTests::testDist, test/dynamo/cpython/3_13/test_math.py::MathTests::testExp, test/dynamo/cpython/3_13/test_math.py::MathTests::testExp2, test/dynamo/cpython/3_13/test_math.py::MathTests::testFabs, test/dynamo/cpython/3_13/test_math.py::MathTests::testFactorial, test/dynamo/cpython/3_13/test_math.py::MathTests::testFactorialHugeInputs, test/dynamo/cpython/3_13/test_math.py::MathTests::testFactorialNonIntegers, test/dynamo/cpython/3_13/test_math.py::MathTests::testFloor, test/dynamo/cpython/3_13/test_math.py::MathTests::testFmod, test/dynamo/cpython/3_13/test_math.py::MathTests::testFrexp, test/dynamo/cpython/3_13/test_math.py::MathTests::testFsum, test/dynamo/cpython/3_13/test_math.py::MathTests::testGcd, test/dynamo/cpython/3_13/test_math.py::MathTests::testHypot, test/dynamo/cpython/3_13/test_math.py::MathTests::testHypotAccuracy, test/dynamo/cpython/3_13/test_math.py::MathTests::testIsfinite, test/dynamo/cpython/3_13/test_math.py::MathTests::testIsinf, test/dynamo/cpython/3_13/test_math.py::MathTests::testIsnan, test/dynamo/cpython/3_13/test_math.py::MathTests::testIsqrt, test/dynamo/cpython/3_13/test_math.py::MathTests::testLdexp, test/dynamo/cpython/3_13/test_math.py::MathTests::testLog, test/dynamo/cpython/3_13/test_math.py::MathTests::testLog10, test/dynamo/cpython/3_13/test_math.py::MathTests::testLog1p, test/dynamo/cpython/3_13/test_math.py::MathTests::testLog2, test/dynamo/cpython/3_13/test_math.py::MathTests::testLog2Exact, test/dynamo/cpython/3_13/test_math.py::MathTests::testModf, test/dynamo/cpython/3_13/test_math.py::MathTests::testPerm, test/dynamo/cpython/3_13/test_math.py::MathTests::testPow, test/dynamo/cpython/3_13/test_math.py::MathTests::testRadians, test/dynamo/cpython/3_13/test_math.py::MathTests::testRemainder, test/dynamo/cpython/3_13/test_math.py::MathTests::testSin, test/dynamo/cpython/3_13/test_math.py::MathTests::testSinh, test/dynamo/cpython/3_13/test_math.py::MathTests::testSqrt, test/dynamo/cpython/3_13/test_math.py::MathTests::testSumProd, test/dynamo/cpython/3_13/test_math.py::MathTests::testTan, test/dynamo/cpython/3_13/test_math.py::MathTests::testTanh, test/dynamo/cpython/3_13/test_math.py::MathTests::testTanhSign, test/dynamo/cpython/3_13/test_math.py::MathTests::test_exceptions, test/dynamo/cpython/3_13/test_math.py::MathTests::test_inf_constant, test/dynamo/cpython/3_13/test_math.py::MathTests::test_input_exceptions, test/dynamo/cpython/3_13/test_math.py::MathTests::test_issue39871, test/dynamo/cpython/3_13/test_math.py::MathTests::test_lcm, test/dynamo/cpython/3_13/test_math.py::MathTests::test_math_dist_leak, test/dynamo/cpython/3_13/test_math.py::MathTests::test_mtestfile, test/dynamo/cpython/3_13/test_math.py::MathTests::test_nan_constant, test/dynamo/cpython/3_13/test_math.py::MathTests::test_nextafter, test/dynamo/cpython/3_13/test_math.py::MathTests::test_prod, test/dynamo/cpython/3_13/test_math.py::MathTests::test_sumprod_accuracy, test/dynamo/cpython/3_13/test_math.py::MathTests::test_sumprod_extended_precision_accuracy, test/dynamo/cpython/3_13/test_math.py::MathTests::test_sumprod_stress, test/dynamo/cpython/3_13/test_math.py::MathTests::test_testfile, test/dynamo/cpython/3_13/test_math.py::MathTests::test_trunc, test/dynamo/cpython/3_13/test_math.py::MathTests::test_ulp, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_asymmetry, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_decimals, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_eight_decimal_places, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_fractions, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_identical, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_identical_infinite, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_inf_ninf_nan, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_integers, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_near_zero, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_negative_tolerances, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_zero_tolerance, test/dynamo/cpython/3_13/test_math.py::FMATests::test_fma_infinities, test/dynamo/cpython/3_13/test_math.py::FMATests::test_fma_nan_results, test/dynamo/cpython/3_13/test_math.py::FMATests::test_fma_overflow, test/dynamo/cpython/3_13/test_math.py::FMATests::test_fma_single_round, test/dynamo/cpython/3_13/test_math.py::FMATests::test_fma_zero_result, test/dynamo/cpython/3_13/test_math.py::FMATests::test_random 2025-08-26T20:42:55.2113721Z 2025-08-26T20:42:58.5253617Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:42:58.5257658Z import pkg_resources 2025-08-26T20:42:58.6486652Z Running dynamo/cpython/3_13/test_iter 1/1 ... [2025-08-26 20:42:58.648206] 2025-08-26T20:42:58.6489909Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:42:58.6492881Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_iter.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:42:58.648672] 2025-08-26T20:43:02.5188617Z 2025-08-26T20:43:02.5189821Z dynamo/cpython/3_13/test_iter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_iter_1.1_27f1340312a4ba92_.log 2025-08-26T20:43:02.5208566Z Running 57 items in this shard: test/dynamo/cpython/3_13/test_iter.py::TestCase::test_3720, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_builtin_filter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_builtin_list, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_builtin_map, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_builtin_max_min, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_builtin_tuple, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_builtin_zip, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_countOf, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_error_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_exception_function, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_exception_locations, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_exception_sequence, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_extending_list_with_iterator_does_not_segfault, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_free_after_iterating, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_in_and_not_in, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_indexOf, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_basic, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_big_range, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_callable, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_class_for, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_class_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_dict, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_empty, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_file, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_for_loop, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_function, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_function_concealing_reentrant_exhaustion, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_function_stop, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_idempotency, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_independence, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_neg_setstate, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_overflow, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_range, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_string, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_tuple, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_mutating_seq_class_exhausted_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_mutating_seq_class_iter_pickle, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_nested_comprehensions_for, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_nested_comprehensions_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_new_style_iter_class, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_reduce_mutating_builtins_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_ref_counting_behavior, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_seq_class_for, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_seq_class_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_callable, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_dict, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_enumerate, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_list, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_range, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_sequence, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_string, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_tuple, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_yield, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_stop_sequence, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_unicode_join_endcase, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_unpack_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_writelines 2025-08-26T20:43:02.5225554Z 2025-08-26T20:43:05.8523803Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:43:05.8526621Z import pkg_resources 2025-08-26T20:43:05.9745143Z Running dynamo/cpython/3_13/test_sys 1/1 ... [2025-08-26 20:43:05.974073] 2025-08-26T20:43:05.9746063Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:43:05.9748134Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_sys.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:43:05.974423] 2025-08-26T20:43:11.0968731Z 2025-08-26T20:43:11.0970062Z dynamo/cpython/3_13/test_sys 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_sys_1.1_159ab3e699628b87_.log 2025-08-26T20:43:11.1019064Z Running 79 items in this shard: test/dynamo/cpython/3_13/test_sys.py::DisplayHookTest::test_custom_displayhook, test/dynamo/cpython/3_13/test_sys.py::DisplayHookTest::test_lost_displayhook, test/dynamo/cpython/3_13/test_sys.py::DisplayHookTest::test_original_displayhook, test/dynamo/cpython/3_13/test_sys.py::ActiveExceptionTests::test_exc_info_no_exception, test/dynamo/cpython/3_13/test_sys.py::ActiveExceptionTests::test_exc_info_with_exception_instance, test/dynamo/cpython/3_13/test_sys.py::ActiveExceptionTests::test_exc_info_with_exception_type, test/dynamo/cpython/3_13/test_sys.py::ActiveExceptionTests::test_sys_exception_no_exception, test/dynamo/cpython/3_13/test_sys.py::ActiveExceptionTests::test_sys_exception_with_exception_instance, test/dynamo/cpython/3_13/test_sys.py::ActiveExceptionTests::test_sys_exception_with_exception_type, test/dynamo/cpython/3_13/test_sys.py::ExceptHookTest::test_excepthook, test/dynamo/cpython/3_13/test_sys.py::ExceptHookTest::test_excepthook_bytes_filename, test/dynamo/cpython/3_13/test_sys.py::ExceptHookTest::test_original_excepthook, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_43581, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test__enablelegacywindowsfsencoding, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_attributes, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_c_locale_surrogateescape, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_call_tracing, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_clear_type_cache, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_current_exceptions, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_current_frames, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_debugmallocstats, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_disable_gil_abi, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_dlopenflags, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_emscripten_info, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_executable, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_exit, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_exit_codes_under_repl, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getallocatedblocks, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getandroidapilevel, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getdefaultencoding, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getfilesystemencoding, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getframe, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getframemodulename, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getobjects, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getrecursionlimit, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getwindowsversion, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_implementation, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_intern, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_ioencoding, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_ioencoding_nonascii, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_is_finalizing, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_is_gil_enabled, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_issue20602, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_module_names, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_no_duplicates_in_meta_path, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_orig_argv, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_posix_locale_surrogateescape, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_pystats, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_racing_recursion_limit, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_recursionlimit_recovery, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_refcount, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_setrecursionlimit, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_setrecursionlimit_to_depth, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_stdlib_dir, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_subinterp_intern_dynamically_allocated, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_subinterp_intern_singleton, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_subinterp_intern_statically_allocated, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_switchinterval, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_sys_flags, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_sys_flags_no_instantiation, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_sys_getwindowsversion_no_instantiation, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_sys_ignores_cleaning_up_user_data, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_sys_tracebacklimit, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_sys_version_info_no_instantiation, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_thread_info, test/dynamo/cpython/3_13/test_sys.py::UnraisableHookTest::test_custom_unraisablehook, test/dynamo/cpython/3_13/test_sys.py::UnraisableHookTest::test_custom_unraisablehook_fail, test/dynamo/cpython/3_13/test_sys.py::UnraisableHookTest::test_original_unraisablehook, test/dynamo/cpython/3_13/test_sys.py::UnraisableHookTest::test_original_unraisablehook_err, test/dynamo/cpython/3_13/test_sys.py::UnraisableHookTest::test_original_unraisablehook_exception_qualname, test/dynamo/cpython/3_13/test_sys.py::UnraisableHookTest::test_original_unraisablehook_wrong_type, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_asyncgen_hooks, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_changing_sys_stderr_and_removing_reference, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_default, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_errors, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_gc_head_size, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_objecttypes, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_pythontypes, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_slots 2025-08-26T20:43:11.1062586Z 2025-08-26T20:43:14.2014156Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:43:14.2015873Z import pkg_resources 2025-08-26T20:43:14.3605273Z Running dynamo/cpython/3_13/test_bool 1/1 ... [2025-08-26 20:43:14.360082] 2025-08-26T20:43:14.3606150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:43:14.3613080Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_bool.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:43:14.360540] 2025-08-26T20:43:17.8303784Z 2025-08-26T20:43:17.8305825Z dynamo/cpython/3_13/test_bool 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_bool_1.1_d99d889e4ae430ff_.log 2025-08-26T20:43:17.8322502Z Running 31 items in this shard: test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_blocked, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_bool_called_at_least_once, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_bool_new, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_boolean, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_callable, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_complex, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_contains, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_convert, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_convert_to_bool, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_fileclosed, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_float, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_format, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_from_bytes, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_hasattr, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_int, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_interpreter_convert_to_bool_raises, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_isinstance, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_issubclass, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_keyword_args, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_marshal, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_math, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_operator, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_pickle, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_picklevalues, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_real_and_imag, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_repr, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_sane_len, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_str, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_string, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_subclass, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_types 2025-08-26T20:43:17.8338072Z 2025-08-26T20:43:21.0869707Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:43:21.0872800Z import pkg_resources 2025-08-26T20:43:21.2091625Z Running dynamo/cpython/3_13/test_list 1/1 ... [2025-08-26 20:43:21.208768] 2025-08-26T20:43:21.2093815Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:43:21.2095832Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_list.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:43:21.209190] 2025-08-26T20:43:25.8307041Z 2025-08-26T20:43:25.8308403Z dynamo/cpython/3_13/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_list_1.1_f4ca23c54477d6cc_.log 2025-08-26T20:43:25.8342623Z Running 65 items in this shard: test/dynamo/cpython/3_13/test_list.py::ListTest::test_addmul, test/dynamo/cpython/3_13/test_list.py::ListTest::test_append, test/dynamo/cpython/3_13/test_list.py::ListTest::test_basic, test/dynamo/cpython/3_13/test_list.py::ListTest::test_bigrepeat, test/dynamo/cpython/3_13/test_list.py::ListTest::test_clear, test/dynamo/cpython/3_13/test_list.py::ListTest::test_constructor_exception_handling, test/dynamo/cpython/3_13/test_list.py::ListTest::test_constructors, test/dynamo/cpython/3_13/test_list.py::ListTest::test_contains, test/dynamo/cpython/3_13/test_list.py::ListTest::test_contains_fake, test/dynamo/cpython/3_13/test_list.py::ListTest::test_contains_order, test/dynamo/cpython/3_13/test_list.py::ListTest::test_copy, test/dynamo/cpython/3_13/test_list.py::ListTest::test_count, test/dynamo/cpython/3_13/test_list.py::ListTest::test_count_index_remove_crashes, test/dynamo/cpython/3_13/test_list.py::ListTest::test_delitem, test/dynamo/cpython/3_13/test_list.py::ListTest::test_delslice, test/dynamo/cpython/3_13/test_list.py::ListTest::test_deopt_from_append_list, test/dynamo/cpython/3_13/test_list.py::ListTest::test_empty_slice, test/dynamo/cpython/3_13/test_list.py::ListTest::test_equal_operator_modifying_operand, test/dynamo/cpython/3_13/test_list.py::ListTest::test_exhausted_iterator, test/dynamo/cpython/3_13/test_list.py::ListTest::test_extend, test/dynamo/cpython/3_13/test_list.py::ListTest::test_extendedslicing, test/dynamo/cpython/3_13/test_list.py::ListTest::test_free_after_iterating, test/dynamo/cpython/3_13/test_list.py::ListTest::test_getitem, test/dynamo/cpython/3_13/test_list.py::ListTest::test_getitem_error, test/dynamo/cpython/3_13/test_list.py::ListTest::test_getitemoverwriteiter, test/dynamo/cpython/3_13/test_list.py::ListTest::test_getslice, test/dynamo/cpython/3_13/test_list.py::ListTest::test_iadd, test/dynamo/cpython/3_13/test_list.py::ListTest::test_identity, test/dynamo/cpython/3_13/test_list.py::ListTest::test_imul, test/dynamo/cpython/3_13/test_list.py::ListTest::test_index, test/dynamo/cpython/3_13/test_list.py::ListTest::test_init, test/dynamo/cpython/3_13/test_list.py::ListTest::test_insert, test/dynamo/cpython/3_13/test_list.py::ListTest::test_iterator_pickle, test/dynamo/cpython/3_13/test_list.py::ListTest::test_keyword_args, test/dynamo/cpython/3_13/test_list.py::ListTest::test_keywords_in_subclass, test/dynamo/cpython/3_13/test_list.py::ListTest::test_len, test/dynamo/cpython/3_13/test_list.py::ListTest::test_list_index_modifing_operand, test/dynamo/cpython/3_13/test_list.py::ListTest::test_list_resize_overflow, test/dynamo/cpython/3_13/test_list.py::ListTest::test_lt_operator_modifying_operand, test/dynamo/cpython/3_13/test_list.py::ListTest::test_minmax, test/dynamo/cpython/3_13/test_list.py::ListTest::test_no_comdat_folding, test/dynamo/cpython/3_13/test_list.py::ListTest::test_overflow, test/dynamo/cpython/3_13/test_list.py::ListTest::test_pickle, test/dynamo/cpython/3_13/test_list.py::ListTest::test_pop, test/dynamo/cpython/3_13/test_list.py::ListTest::test_preallocation, test/dynamo/cpython/3_13/test_list.py::ListTest::test_remove, test/dynamo/cpython/3_13/test_list.py::ListTest::test_repeat, test/dynamo/cpython/3_13/test_list.py::ListTest::test_repr, test/dynamo/cpython/3_13/test_list.py::ListTest::test_repr_deep, test/dynamo/cpython/3_13/test_list.py::ListTest::test_repr_large, test/dynamo/cpython/3_13/test_list.py::ListTest::test_repr_mutate, test/dynamo/cpython/3_13/test_list.py::ListTest::test_reverse, test/dynamo/cpython/3_13/test_list.py::ListTest::test_reversed, test/dynamo/cpython/3_13/test_list.py::ListTest::test_reversed_pickle, test/dynamo/cpython/3_13/test_list.py::ListTest::test_set_subscript, test/dynamo/cpython/3_13/test_list.py::ListTest::test_setitem, test/dynamo/cpython/3_13/test_list.py::ListTest::test_setitem_error, test/dynamo/cpython/3_13/test_list.py::ListTest::test_setslice, test/dynamo/cpython/3_13/test_list.py::ListTest::test_slice, test/dynamo/cpython/3_13/test_list.py::ListTest::test_slice_assign_iterator, test/dynamo/cpython/3_13/test_list.py::ListTest::test_sort, test/dynamo/cpython/3_13/test_list.py::ListTest::test_step_overflow, test/dynamo/cpython/3_13/test_list.py::ListTest::test_subscript, test/dynamo/cpython/3_13/test_list.py::ListTest::test_tier2_invalidates_iterator, test/dynamo/cpython/3_13/test_list.py::ListTest::test_truth 2025-08-26T20:43:25.8371927Z 2025-08-26T20:43:28.9278227Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:43:28.9279797Z import pkg_resources 2025-08-26T20:43:29.0494214Z Running dynamo/cpython/3_13/test_float 1/1 ... [2025-08-26 20:43:29.048970] 2025-08-26T20:43:29.0495123Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:43:29.0497113Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_float.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:43:29.049327] 2025-08-26T20:43:32.6691390Z 2025-08-26T20:43:32.6693214Z dynamo/cpython/3_13/test_float 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_float_1.1_6aa9449afd1f84b7_.log 2025-08-26T20:43:32.6723776Z Running 50 items in this shard: test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_error_message, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_ceil, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_containment, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_floor, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_memoryview, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_mod, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_pow, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_with_comma, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_floatasratio, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_floatconversion, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_hash, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_hash_nan, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_is_integer, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_keyword_args, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_keywords_in_subclass, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_noargs, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_non_numeric_input_types, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_underscores, test/dynamo/cpython/3_13/test_float.py::FormatFunctionsTestCase::test_getformat, test/dynamo/cpython/3_13/test_float.py::IEEEFormatTestCase::test_double_specials_do_unpack, test/dynamo/cpython/3_13/test_float.py::IEEEFormatTestCase::test_float_specials_do_unpack, test/dynamo/cpython/3_13/test_float.py::IEEEFormatTestCase::test_serialized_float_rounding, test/dynamo/cpython/3_13/test_float.py::FormatTestCase::test_format, test/dynamo/cpython/3_13/test_float.py::FormatTestCase::test_format_testfile, test/dynamo/cpython/3_13/test_float.py::FormatTestCase::test_issue35560, test/dynamo/cpython/3_13/test_float.py::FormatTestCase::test_issue5864, test/dynamo/cpython/3_13/test_float.py::ReprTestCase::test_repr, test/dynamo/cpython/3_13/test_float.py::ReprTestCase::test_short_repr, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_None_ndigits, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_format_specials, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_inf_nan, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_inf_nan_ndigits, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_large_n, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_matches_float_format, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_overflow, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_previous_round_bugs, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_small_n, test/dynamo/cpython/3_13/test_float.py::InfNanTest::test_inf_as_str, test/dynamo/cpython/3_13/test_float.py::InfNanTest::test_inf_from_str, test/dynamo/cpython/3_13/test_float.py::InfNanTest::test_inf_signs, test/dynamo/cpython/3_13/test_float.py::InfNanTest::test_nan_as_str, test/dynamo/cpython/3_13/test_float.py::InfNanTest::test_nan_from_str, test/dynamo/cpython/3_13/test_float.py::InfNanTest::test_nan_signs, test/dynamo/cpython/3_13/test_float.py::HexFloatTestCase::test_ends, test/dynamo/cpython/3_13/test_float.py::HexFloatTestCase::test_from_hex, test/dynamo/cpython/3_13/test_float.py::HexFloatTestCase::test_invalid_inputs, test/dynamo/cpython/3_13/test_float.py::HexFloatTestCase::test_roundtrip, test/dynamo/cpython/3_13/test_float.py::HexFloatTestCase::test_subclass, test/dynamo/cpython/3_13/test_float.py::HexFloatTestCase::test_whitespace 2025-08-26T20:43:32.6750707Z 2025-08-26T20:43:35.8179916Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:43:35.8182877Z import pkg_resources 2025-08-26T20:43:35.9406284Z Running dynamo/cpython/3_13/test_tuple 1/1 ... [2025-08-26 20:43:35.940187] 2025-08-26T20:43:35.9406958Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:43:35.9408795Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_tuple.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:43:35.940559] 2025-08-26T20:44:10.1770571Z 2025-08-26T20:44:10.1773899Z dynamo/cpython/3_13/test_tuple 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_tuple_1.1_77b4524df0cc0990_.log 2025-08-26T20:44:10.1793355Z Running 36 items in this shard: test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_addmul, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_bigrepeat, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_bug7466, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_constructors, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_contains, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_contains_fake, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_contains_order, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_count, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_free_after_iterating, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_getitem, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_getitem_error, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_getitemoverwriteiter, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_getslice, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_hash_exact, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_hash_optional, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_iadd, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_imul, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_index, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_iterator_pickle, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_keyword_args, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_keywords_in_subclass, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_len, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_lexicographic_ordering, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_minmax, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_no_comdat_folding, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_pickle, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_repeat, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_repr, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_repr_large, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_reversed_pickle, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_subscript, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_track_dynamic, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_track_literals, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_track_subtypes, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_truth, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_tupleresizebug 2025-08-26T20:44:10.1813094Z 2025-08-26T20:44:13.5844601Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:44:13.5848620Z import pkg_resources 2025-08-26T20:44:13.7760720Z Running dynamo/cpython/3_13/test_dict 1/1 ... [2025-08-26 20:44:13.775590] 2025-08-26T20:44:13.7761984Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:44:13.7765650Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_dict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:44:13.776144] 2025-08-26T20:44:28.2163119Z 2025-08-26T20:44:28.2165090Z functorch/test_aotdispatch 6/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_6.6_e0e050bd7e705371_.log 2025-08-26T20:44:28.2571002Z Running 356 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_autocast_disable_guard, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_buffer_copied_in_graph, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_compilation_context, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_embedding_bag_view_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_data_and_metadata_mutation, 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test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Embedding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_FractionalMaxPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Hardtanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_HingeEmbeddingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm1d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm2d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_L1Loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LSTM_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LogSoftmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MSELoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MaxPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MaxPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReflectionPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReflectionPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_SiLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_SoftMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softmax2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softplus_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerEncoder_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dupe_arg_torture, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dynamic_shape_output_not_in_bw_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_hidden_from_autograd_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_storage_resize_down_and_set_, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_storage_resize_up, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_dupe, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses_non_nested_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_and_returned_flipped, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_inplace_view_with_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_dict, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_some_outputs_dont_require_grad_non_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_squeeze_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_subclass_metadata_mutation_req_grad_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_on_grad_out, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_pass_autocast_off, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_buffer_batch_norm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dynamic_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_metadata_mutation_aliases, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_requires_grad_no_grad_detach_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_set__input_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_simple_with_none_and_nontensor, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_down, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_list_codegen, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mark_activations_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mutations_in_bw_detached_from_tangent, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_nested_subclasses_complicated_inps, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_nested_subclasses_non_nested_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_non_tensor_and_none_inputs, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_input_multi_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_multiple_inputs_get_correct_one, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_output_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_dict, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_subclasses_mixed_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_synthetic_base_base_attribute_is_none 2025-08-26T20:44:28.2977145Z 2025-08-26T20:44:31.7937445Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:44:31.7939770Z import pkg_resources 2025-08-26T20:44:31.9740293Z Running dynamo/cpython/3_13/test_complex 1/1 ... [2025-08-26 20:44:31.973123] 2025-08-26T20:44:31.9741423Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:44:31.9743519Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_complex.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:44:31.973568] 2025-08-26T20:44:33.9283098Z 2025-08-26T20:44:33.9284877Z dynamo/cpython/3_13/test_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_dict_1.1_aa9faef65ba7488e_.log 2025-08-26T20:44:33.9325809Z Running 112 items in this shard: test/dynamo/cpython/3_13/test_dict.py::DictTest::test_bad_key, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_bool, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_clear, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_constructor, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_container_iterator, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_contains, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_copy, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_copy_fuzz, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_copy_maintains_tracking, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_copy_noncompact, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dict_contain_use_after_free, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dict_copy_order, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dict_items_result_gc, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dict_items_result_gc_reversed, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dictitems_contains_use_after_free, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dictview_mixed_set_operations, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dictview_set_operations_on_items, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dictview_set_operations_on_keys, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_empty_presized_dict_in_freelist, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_eq, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_equal_operator_modifying_operand, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_errors_in_view_containment_check, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_free_after_iterating, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_fromkeys, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_fromkeys_operator_modifying_dict_operand, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_fromkeys_operator_modifying_set_operand, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_get, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_getitem, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_init_use_after_free, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_instance_dict_getattr_str_subclass, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_invalid_keyword_arguments, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_itemiterator_pickling, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_items, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_items_symmetric_difference, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_iterator_pickling, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_keys, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_keys_contained, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_len, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_literal_constructor, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_merge_and_mutate, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_merge_operator, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_missing, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_mutating_iteration, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_mutating_iteration_delete, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_mutating_iteration_delete_over_items, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_mutating_iteration_delete_over_values, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_mutating_lookup, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_object_set_item_single_instance_non_str_key, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_oob_indexing_dictiter_iternextitem, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_pop, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_popitem, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reentrant_insertion, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_repr, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_repr_deep, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_resize1, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_resize2, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reverse_iterator_for_empty_dict, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reverse_iterator_for_shared_shared_dicts, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reversed, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reverseitemiterator_pickling, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reverseiterator_pickling, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reversevaluesiterator_pickling, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_setdefault, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_setdefault_atomic, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_setitem_atomic_at_resize, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_del, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_pop, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_pop_pending, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_popitem, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_setdefault, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_to_generic_combinedtable, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_update, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_store_evilattr, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_str_nonstr, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_string_keys_can_track_values, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_track_dynamic, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_track_literals, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_track_subtypes, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_tuple_keyerror, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_update, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_values, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_valuesiterator_pickling, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_views_mapping, test/dynamo/cpython/3_13/test_dict.py::CAPITest::test_getitem_knownhash, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_bool, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_constructor, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_get, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_getitem, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_items, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_keys, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_len, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_pop, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_popitem, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_read, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_setdefault, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_update, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_values, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_write, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_bool, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_constructor, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_get, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_getitem, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_items, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_keys, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_len, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_pop, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_popitem, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_read, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_setdefault, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_update, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_values, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_write 2025-08-26T20:44:33.9361262Z 2025-08-26T20:44:35.6446893Z 2025-08-26T20:44:35.6449738Z dynamo/cpython/3_13/test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_complex_1.1_0f5926bd6170f3fa_.log 2025-08-26T20:44:35.6470536Z Running 35 items in this shard: test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test___complex__, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_abs, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_add, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_boolcontext, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_conjugate, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_constructor, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_constructor_from_string, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_constructor_negative_nans_from_string, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_constructor_special_numbers, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_divmod, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_divmod_zero_division, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_floordiv, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_floordiv_zero_division, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_format, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_getnewargs, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_hash, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_mod, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_mod_zero_division, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_mul, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_neg, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_negated_imaginary_literal, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_negative_zero_repr_str, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_overflow, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_plus_minus_0j, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_pos, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_pow, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_pow_with_small_integer_exponents, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_repr_roundtrip, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_repr_str, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_richcompare, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_richcompare_boundaries, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_sub, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_truediv, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_truediv_zero_division, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_underscores 2025-08-26T20:44:35.6491436Z 2025-08-26T20:44:37.6159401Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:44:37.6162733Z import pkg_resources 2025-08-26T20:44:37.7715479Z Running inductor/test_external_callables 1/1 ... [2025-08-26 20:44:37.771044] 2025-08-26T20:44:37.7716474Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:44:37.7719377Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_external_callables.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:44:37.771514] 2025-08-26T20:44:38.9355723Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:44:38.9358568Z import pkg_resources 2025-08-26T20:44:39.0695417Z Running inductor/test_triton_syntax 1/1 ... [2025-08-26 20:44:39.069074] 2025-08-26T20:44:39.0696584Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:44:39.0699294Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_syntax.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:44:39.069521] 2025-08-26T20:44:41.7521101Z 2025-08-26T20:44:41.7523021Z inductor/test_external_callables 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_external_callables_1.1_c6e697708a03d73a_.log 2025-08-26T20:44:45.7410516Z 2025-08-26T20:44:45.7413138Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:44:45.7416371Z import pkg_resources 2025-08-26T20:44:45.8970185Z Running inductor/test_pad_mm 1/1 ... [2025-08-26 20:44:45.896607] 2025-08-26T20:44:45.8971037Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:44:45.8973251Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_pad_mm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:44:45.896987] 2025-08-26T20:44:46.8777581Z 2025-08-26T20:44:46.8779225Z inductor/test_triton_syntax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_syntax_1.1_6c439e48937e8751_.log 2025-08-26T20:44:46.8780530Z 2025-08-26T20:44:50.1903785Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:44:50.1906661Z import pkg_resources 2025-08-26T20:44:50.3578070Z Running inductor/test_cpp_wrapper_hipify 1/1 ... [2025-08-26 20:44:50.357319] 2025-08-26T20:44:50.3579393Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:44:50.3581873Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpp_wrapper_hipify.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:44:50.357756] 2025-08-26T20:44:53.7776591Z 2025-08-26T20:44:53.7777980Z inductor/test_pad_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pad_mm_1.1_dab82286162c972e_.log 2025-08-26T20:44:53.7779353Z 2025-08-26T20:44:53.7852390Z 2025-08-26T20:44:53.7854005Z inductor/test_cpp_wrapper_hipify 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpp_wrapper_hipify_1.1_fd442bfb15d3fbef_.log 2025-08-26T20:44:53.7855569Z 2025-08-26T20:44:57.0924094Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:44:57.0928259Z import pkg_resources 2025-08-26T20:44:57.2151428Z Running inductor/test_segmented_tree 1/1 ... [2025-08-26 20:44:57.214596] 2025-08-26T20:44:57.2152267Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:44:57.2157823Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_segmented_tree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:44:57.215036] 2025-08-26T20:44:57.3244921Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:44:57.3246495Z import pkg_resources 2025-08-26T20:44:57.4830772Z Running inductor/test_triton_extension_backend 1/1 ... [2025-08-26 20:44:57.482594] 2025-08-26T20:44:57.4831792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:44:57.4835385Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:44:57.483053] 2025-08-26T20:45:00.9851415Z 2025-08-26T20:45:00.9852543Z inductor/test_segmented_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_segmented_tree_1.1_f3de1311e3a514d7_.log 2025-08-26T20:45:00.9853386Z 2025-08-26T20:45:04.4294644Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:45:04.4297503Z import pkg_resources 2025-08-26T20:45:04.5534061Z Running inductor/test_b2b_gemm 1/1 ... [2025-08-26 20:45:04.552995] 2025-08-26T20:45:04.5534911Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:45:04.5537040Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:45:04.553367] 2025-08-26T20:45:05.5143579Z 2025-08-26T20:45:05.5145303Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_371cb21154a1ac78_.log 2025-08-26T20:45:05.5146850Z 2025-08-26T20:45:08.7226777Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:45:08.7229694Z import pkg_resources 2025-08-26T20:45:08.8464456Z Running inductor/test_indexing 1/1 ... [2025-08-26 20:45:08.846041] 2025-08-26T20:45:08.8466054Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:45:08.8467989Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:45:08.846411] 2025-08-26T20:45:11.4880087Z 2025-08-26T20:45:11.4881177Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_7fd57af06c7323b3_.log 2025-08-26T20:45:11.4881900Z 2025-08-26T20:45:14.6758529Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:45:14.6761461Z import pkg_resources 2025-08-26T20:45:14.7973019Z Running inductor/test_fx_fusion 1/1 ... [2025-08-26 20:45:14.796829] 2025-08-26T20:45:14.7973863Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:45:14.7976319Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fx_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:45:14.797249] 2025-08-26T20:45:16.0631721Z 2025-08-26T20:45:16.0633029Z inductor/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_indexing_1.1_7588a6e6fadfcabc_.log 2025-08-26T20:45:16.0634253Z 2025-08-26T20:45:19.1323617Z 2025-08-26T20:45:19.1325254Z inductor/test_fx_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fx_fusion_1.1_4274c335cb429f5f_.log 2025-08-26T20:45:19.1326878Z 2025-08-26T20:45:19.1846901Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:45:19.1850015Z import pkg_resources 2025-08-26T20:45:19.3099466Z Running export/test_functionalized_assertions 1/1 ... [2025-08-26 20:45:19.309494] 2025-08-26T20:45:19.3104628Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:45:19.3107083Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_functionalized_assertions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:45:19.309934] 2025-08-26T20:45:22.6689871Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:45:22.6692745Z import pkg_resources 2025-08-26T20:45:22.7293489Z 2025-08-26T20:45:22.7295153Z export/test_functionalized_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_functionalized_assertions_1.1_2d4eb14fcea82409_.log 2025-08-26T20:45:22.7298741Z Running 2 items in this shard: test/export/test_functionalized_assertions.py::TestFuntionalAssertions::test_functional_assert_async_msg, test/export/test_functionalized_assertions.py::TestFuntionalAssertions::test_functional_sym_constrain_range 2025-08-26T20:45:22.7301049Z 2025-08-26T20:45:22.7935633Z Running export/test_unflatten_training_ir 1/1 ... [2025-08-26 20:45:22.793167] 2025-08-26T20:45:22.7936503Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:45:22.7939488Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_unflatten_training_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:45:22.793588] 2025-08-26T20:45:25.9285346Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:45:25.9288214Z import pkg_resources 2025-08-26T20:45:26.0367042Z 2025-08-26T20:45:26.0368658Z export/test_unflatten_training_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_training_ir_1.1_a4b8355b1e374e49_.log 2025-08-26T20:45:26.0370450Z 2025-08-26T20:45:26.0610330Z Running inductor/test_ck_backend 1/1 ... [2025-08-26 20:45:26.060654] 2025-08-26T20:45:26.0611493Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:45:26.0613898Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_ck_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:45:26.061033] 2025-08-26T20:45:29.1929407Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:45:29.1932261Z import pkg_resources 2025-08-26T20:45:29.3176601Z Running dynamo/test_backends 1/1 ... [2025-08-26 20:45:29.317270] 2025-08-26T20:45:29.3177455Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:45:29.3179870Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_backends.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:45:29.317660] 2025-08-26T20:45:33.0137421Z 2025-08-26T20:45:33.0138794Z inductor/test_ck_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ck_backend_1.1_80dcbc469e415a13_.log 2025-08-26T20:45:33.0139926Z 2025-08-26T20:45:36.1977734Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:45:36.1979330Z import pkg_resources 2025-08-26T20:45:36.2276922Z 2025-08-26T20:45:36.2278297Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_c2e4dfdb07bf31bc_.log 2025-08-26T20:45:36.2279536Z 2025-08-26T20:45:36.3221425Z Running inductor/test_metrics 1/1 ... [2025-08-26 20:45:36.321743] 2025-08-26T20:45:36.3222111Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:45:36.3224008Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_metrics.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:45:36.322129] 2025-08-26T20:45:39.4475768Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:45:39.4478824Z import pkg_resources 2025-08-26T20:45:39.5714153Z Running inductor/test_autoheuristic 1/1 ... [2025-08-26 20:45:39.570901] 2025-08-26T20:45:39.5715008Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:45:39.5717002Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:45:39.571271] 2025-08-26T20:45:43.5417602Z 2025-08-26T20:45:43.5418990Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_6ff053aa7c6b5d09_.log 2025-08-26T20:45:43.5419886Z 2025-08-26T20:45:46.9365985Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:45:46.9368984Z import pkg_resources 2025-08-26T20:45:47.0613091Z Running dynamo/test_inline_and_install 1/1 ... [2025-08-26 20:45:47.060954] 2025-08-26T20:45:47.0613992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:45:47.0616588Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_inline_and_install.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:45:47.061333] 2025-08-26T20:45:47.1834111Z 2025-08-26T20:45:47.1835455Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_9d2cfebe5bdb7b5d_.log 2025-08-26T20:45:47.1836369Z 2025-08-26T20:45:50.5193031Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:45:50.5196789Z import pkg_resources 2025-08-26T20:45:50.6448318Z Running test_model_exports_to_core_aten 1/1 ... [2025-08-26 20:45:50.644436] 2025-08-26T20:45:50.6449144Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:45:50.6451437Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:45:50.644829] 2025-08-26T20:45:50.6766574Z 2025-08-26T20:45:50.6767709Z dynamo/test_inline_and_install 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_inline_and_install_1.1_45b4f9b26d51d92f_.log 2025-08-26T20:45:50.6768501Z 2025-08-26T20:45:54.0463605Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:45:54.0466494Z import pkg_resources 2025-08-26T20:45:54.1710382Z Running export/test_tree_utils 1/1 ... [2025-08-26 20:45:54.170584] 2025-08-26T20:45:54.1711249Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:45:54.1714087Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_tree_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:45:54.170994] 2025-08-26T20:45:54.5654334Z 2025-08-26T20:45:54.5656301Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_37412e595c05a95b_.log 2025-08-26T20:45:54.5658709Z Running 1 items in this shard: test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export 2025-08-26T20:45:54.5659796Z 2025-08-26T20:45:57.6415116Z 2025-08-26T20:45:57.6416470Z export/test_tree_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tree_utils_1.1_bae19897c9b27b3c_.log 2025-08-26T20:45:57.6418825Z Running 2 items in this shard: test/export/test_tree_utils.py::TestTreeUtils::test_equivalence_check, test/export/test_tree_utils.py::TestTreeUtils::test_reorder_kwargs 2025-08-26T20:45:57.6419579Z 2025-08-26T20:45:57.7834634Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:45:57.7837652Z import pkg_resources 2025-08-26T20:45:57.9092386Z Running inductor/test_remote_cache 1/1 ... [2025-08-26 20:45:57.908806] 2025-08-26T20:45:57.9093208Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:45:57.9095222Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_remote_cache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:45:57.909181] 2025-08-26T20:46:00.9408855Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:46:00.9410468Z import pkg_resources 2025-08-26T20:46:01.0654823Z Running inductor/test_minifier_utils 1/1 ... [2025-08-26 20:46:01.065071] 2025-08-26T20:46:01.0655374Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:46:01.0659970Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_minifier_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:01.065698] 2025-08-26T20:46:01.2425302Z 2025-08-26T20:46:01.2426845Z inductor/test_remote_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_remote_cache_1.1_c74df6ddcbd63636_.log 2025-08-26T20:46:01.2427599Z 2025-08-26T20:46:04.5459052Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:46:04.5461926Z import pkg_resources 2025-08-26T20:46:04.6687507Z Running dynamo/test_decorators 1/1 ... [2025-08-26 20:46:04.668333] 2025-08-26T20:46:04.6688273Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:46:04.6690595Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_decorators.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:04.668716] 2025-08-26T20:46:08.1949382Z 2025-08-26T20:46:08.1950801Z dynamo/test_decorators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_decorators_1.1_5ed57cb063bb7c3e_.log 2025-08-26T20:46:08.1952109Z 2025-08-26T20:46:10.3460420Z 2025-08-26T20:46:10.3462023Z inductor/test_minifier_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_utils_1.1_29a63705aad48e91_.log 2025-08-26T20:46:10.3465456Z Running 3 items in this shard: test/inductor/test_minifier_utils.py::MinifierUtilsTests::test_convert_module_to_string, test/inductor/test_minifier_utils.py::MinifierUtilsTests::test_invalid_output, test/inductor/test_minifier_utils.py::MinifierUtilsTests::test_non_exportable 2025-08-26T20:46:10.3467598Z 2025-08-26T20:46:11.5451741Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:46:11.5453411Z import pkg_resources 2025-08-26T20:46:11.6699977Z Running inductor/test_utils 1/1 ... [2025-08-26 20:46:11.669611] 2025-08-26T20:46:11.6701535Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:46:11.6704460Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:11.669992] 2025-08-26T20:46:13.5336907Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:46:13.5339946Z import pkg_resources 2025-08-26T20:46:13.6569133Z Running inductor/test_subgraph_choice 1/1 ... [2025-08-26 20:46:13.656500] 2025-08-26T20:46:13.6570247Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:46:13.6573266Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:13.656908] 2025-08-26T20:46:15.1406400Z 2025-08-26T20:46:15.1407820Z inductor/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_utils_1.1_260549e26a440739_.log 2025-08-26T20:46:15.1412932Z Running 7 items in this shard: test/inductor/test_utils.py::TestUtilsCPU::testSympySubs_cpu, test/inductor/test_utils.py::TestUtilsCPU::test_flops_fx_cpu, test/inductor/test_utils.py::TestUtilsCPU::test_get_device_tflops_cpu_bfloat16, test/inductor/test_utils.py::TestUtilsCPU::test_get_device_tflops_cpu_float16, test/inductor/test_utils.py::TestUtilsCPU::test_get_device_tflops_cpu_float32, test/inductor/test_utils.py::TestUtilsCPU::test_sympy_str_cpu, test/inductor/test_utils.py::TestUtilsCPU::test_zip_schema_cpu 2025-08-26T20:46:15.1417047Z 2025-08-26T20:46:18.6280249Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:46:18.6283163Z import pkg_resources 2025-08-26T20:46:18.7525050Z Running export/test_serdes 1/1 ... [2025-08-26 20:46:18.752078] 2025-08-26T20:46:18.7525827Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:46:18.7528087Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_serdes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:18.752494] 2025-08-26T20:46:21.2439839Z 2025-08-26T20:46:21.2441265Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_f1f426b297d8c244_.log 2025-08-26T20:46:21.2442970Z 2025-08-26T20:46:24.4601778Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:46:24.4604635Z import pkg_resources 2025-08-26T20:46:24.5840010Z Running inductor/test_cooperative_reductions 1/1 ... [2025-08-26 20:46:24.583585] 2025-08-26T20:46:24.5841240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:46:24.5843415Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:24.583968] 2025-08-26T20:46:25.6244630Z 2025-08-26T20:46:25.6246272Z export/test_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serdes_1.1_7440a83ad567d364_.log 2025-08-26T20:46:25.6247542Z 2025-08-26T20:46:28.7985514Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:46:28.7988421Z import pkg_resources 2025-08-26T20:46:28.9208076Z Running export/test_export_with_inline_and_install 1/1 ... [2025-08-26 20:46:28.920401] 2025-08-26T20:46:28.9209078Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:46:28.9211713Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_with_inline_and_install.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:28.920815] 2025-08-26T20:46:31.5961158Z 2025-08-26T20:46:31.5962865Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_af54fd40ac6ef072_.log 2025-08-26T20:46:31.5964450Z 2025-08-26T20:46:34.9978346Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:46:34.9981510Z import pkg_resources 2025-08-26T20:46:35.1227593Z Running dynamo/cpython/3_13/test_unittest/test_assertions 1/1 ... [2025-08-26 20:46:35.122210] 2025-08-26T20:46:35.1228757Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:46:35.1234042Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_unittest/test_assertions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:35.122647] 2025-08-26T20:46:36.2950528Z 2025-08-26T20:46:36.2952235Z export/test_export_with_inline_and_install 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_with_inline_and_install_1.1_f1ef464ba58a1038_.log 2025-08-26T20:46:36.2953763Z 2025-08-26T20:46:39.5951147Z 2025-08-26T20:46:39.5953381Z dynamo/cpython/3_13/test_unittest/test_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_unittest.test_assertions_1.1_12aae9b2b42d3877_.log 2025-08-26T20:46:39.5984688Z Running 35 items in this shard: test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::testAssertNotRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::test_AlmostEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::test_AmostEqualWithDelta, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::test_assertRaises, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::test_assertRaises_frames_survival, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAlmostEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertDictEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertFalse, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertGreater, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertGreaterEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIn, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIs, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIsNone, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIsNot, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIsNotNone, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertLess, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertLessEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertMultiLineEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertNotIn, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertNotRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertRaises, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertRaisesRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertSequenceEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertSetEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertTrue, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertWarns, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertWarnsRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testDefault, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testNotAlmostEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testNotEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::test_assertNotWarns, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::test_baseAssertEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::test_formatMessage_unicode_error, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::test_formatMsg 2025-08-26T20:46:39.6010513Z 2025-08-26T20:46:39.9603956Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:46:39.9607470Z import pkg_resources 2025-08-26T20:46:40.1239275Z Running inductor/test_foreach 1/1 ... [2025-08-26 20:46:40.123487] 2025-08-26T20:46:40.1240032Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:46:40.1242511Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_foreach.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:40.123904] 2025-08-26T20:46:42.7897479Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:46:42.7900366Z import pkg_resources 2025-08-26T20:46:42.9136255Z Running inductor/test_debug_trace 1/1 ... [2025-08-26 20:46:42.913232] 2025-08-26T20:46:42.9137387Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:46:42.9139215Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_debug_trace.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:42.913633] 2025-08-26T20:46:48.2619456Z 2025-08-26T20:46:48.2621518Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_2defb6ae2a98ff12_.log 2025-08-26T20:46:48.2623258Z 2025-08-26T20:46:51.4180619Z 2025-08-26T20:46:51.4182085Z inductor/test_debug_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_debug_trace_1.1_62f5d8f00e0b518f_.log 2025-08-26T20:46:51.4183653Z 2025-08-26T20:46:51.8186734Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:46:51.8189539Z import pkg_resources 2025-08-26T20:46:51.9442463Z Running dynamo/test_interop 1/1 ... [2025-08-26 20:46:51.943706] 2025-08-26T20:46:51.9443467Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:46:51.9446373Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_interop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:51.944157] 2025-08-26T20:46:55.1000351Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:46:55.1002755Z import pkg_resources 2025-08-26T20:46:55.2247049Z Running inductor/test_fp8 1/1 ... [2025-08-26 20:46:55.224289] 2025-08-26T20:46:55.2247736Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:46:55.2249814Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fp8.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:55.224677] 2025-08-26T20:46:55.3960819Z 2025-08-26T20:46:55.3962178Z dynamo/test_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_interop_1.1_b4e06b40a49710c3_.log 2025-08-26T20:46:55.3963353Z 2025-08-26T20:46:58.5989970Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:46:58.5993012Z import pkg_resources 2025-08-26T20:46:58.7235519Z Running inductor/test_kernel_optimization 1/1 ... [2025-08-26 20:46:58.723089] 2025-08-26T20:46:58.7236195Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:46:58.7237879Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_kernel_optimization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:58.723509] 2025-08-26T20:47:02.2601924Z 2025-08-26T20:47:02.2603182Z inductor/test_fp8 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fp8_1.1_0e9fe86396a1a64a_.log 2025-08-26T20:47:02.2604091Z 2025-08-26T20:47:05.9241106Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:47:05.9244607Z import pkg_resources 2025-08-26T20:47:06.0488308Z Running inductor/test_memory_planning 1/1 ... [2025-08-26 20:47:06.048408] 2025-08-26T20:47:06.0489241Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:47:06.0491082Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_memory_planning.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:47:06.048788] 2025-08-26T20:47:06.6352729Z 2025-08-26T20:47:06.6354380Z inductor/test_kernel_optimization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_optimization_1.1_96e1eecd12d17be9_.log 2025-08-26T20:47:06.6360423Z 2025-08-26T20:47:10.4127149Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:47:10.4128773Z import pkg_resources 2025-08-26T20:47:10.5358204Z Running dynamo/test_buffers_override 1/1 ... [2025-08-26 20:47:10.535490] 2025-08-26T20:47:10.5358710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:47:10.5361679Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_buffers_override.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:47:10.535879] 2025-08-26T20:47:13.7415347Z 2025-08-26T20:47:13.7416727Z dynamo/test_buffers_override 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_buffers_override_1.1_c5ef5dde6f203c17_.log 2025-08-26T20:47:13.7417564Z 2025-08-26T20:47:13.8554767Z 2025-08-26T20:47:13.8555805Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_2e38eabd24edba9d_.log 2025-08-26T20:47:13.8556711Z 2025-08-26T20:47:16.9477649Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:47:16.9480521Z import pkg_resources 2025-08-26T20:47:17.0719704Z Running inductor/test_combo_kernels 1/1 ... [2025-08-26 20:47:17.071545] 2025-08-26T20:47:17.0720534Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:47:17.0723125Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_combo_kernels.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:47:17.071974] 2025-08-26T20:47:17.1017633Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:47:17.1019196Z import pkg_resources 2025-08-26T20:47:17.2254787Z Running inductor/test_best_config 1/1 ... [2025-08-26 20:47:17.225084] 2025-08-26T20:47:17.2255327Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:47:17.2258064Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:47:17.225487] 2025-08-26T20:47:24.4742217Z 2025-08-26T20:47:24.4743974Z inductor/test_combo_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_combo_kernels_1.1_f9eedf5abdf3ce4c_.log 2025-08-26T20:47:24.4745181Z 2025-08-26T20:47:25.5277130Z 2025-08-26T20:47:25.5278316Z inductor/test_best_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_best_config_1.1_d1e578bcffbaac8a_.log 2025-08-26T20:47:25.5279088Z 2025-08-26T20:47:27.6894244Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:47:27.6895814Z import pkg_resources 2025-08-26T20:47:27.8128527Z Running dynamo/test_sdpa 1/1 ... [2025-08-26 20:47:27.812461] 2025-08-26T20:47:27.8129025Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:47:27.8131634Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_sdpa.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:47:27.812867] 2025-08-26T20:47:28.7488069Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:47:28.7491041Z import pkg_resources 2025-08-26T20:47:28.8720700Z Running dynamo/test_ctx_manager 1/1 ... [2025-08-26 20:47:28.871703] 2025-08-26T20:47:28.8721429Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:47:28.8724976Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_ctx_manager.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:47:28.872125] 2025-08-26T20:47:31.1405846Z 2025-08-26T20:47:31.1407070Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_6b4171bd2221f342_.log 2025-08-26T20:47:31.1407759Z 2025-08-26T20:47:34.3562921Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:47:34.3565844Z import pkg_resources 2025-08-26T20:47:34.5115786Z Running export/test_tools 1/1 ... [2025-08-26 20:47:34.511130] 2025-08-26T20:47:34.5116951Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:47:34.5119538Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_tools.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:47:34.511585] 2025-08-26T20:47:35.9284596Z 2025-08-26T20:47:35.9285574Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_d322bd7ca8aa7e9b_.log 2025-08-26T20:47:35.9286557Z 2025-08-26T20:47:39.8302098Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:47:39.8305149Z import pkg_resources 2025-08-26T20:47:39.9928269Z Running dynamo/test_pre_dispatch 1/1 ... [2025-08-26 20:47:39.992427] 2025-08-26T20:47:39.9929499Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:47:39.9935072Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_pre_dispatch.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:47:39.993115] 2025-08-26T20:47:43.4488638Z 2025-08-26T20:47:43.4490212Z export/test_tools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tools_1.1_f4f71b4676fd3964_.log 2025-08-26T20:47:43.4492859Z Running 2 items in this shard: test/export/test_tools.py::TestExportTools::test_report_exportability_basic, test/export/test_tools.py::TestExportTools::test_report_exportability_with_issues 2025-08-26T20:47:43.4493731Z 2025-08-26T20:47:43.5185333Z 2025-08-26T20:47:43.5186597Z dynamo/test_pre_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pre_dispatch_1.1_032d3aa17e847132_.log 2025-08-26T20:47:43.5187731Z 2025-08-26T20:47:46.7566638Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:47:46.7569586Z import pkg_resources 2025-08-26T20:47:46.8809994Z Running inductor/test_cutlass_evt 1/1 ... [2025-08-26 20:47:46.880478] 2025-08-26T20:47:46.8810763Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:47:46.8813146Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cutlass_evt.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:47:46.880930] 2025-08-26T20:47:47.2650861Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:47:47.2652454Z import pkg_resources 2025-08-26T20:47:47.4293266Z Running inductor/test_decompose_mem_bound_mm 1/1 ... [2025-08-26 20:47:47.428836] 2025-08-26T20:47:47.4294238Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:47:47.4296955Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_decompose_mem_bound_mm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:47:47.429351] 2025-08-26T20:47:54.7006904Z 2025-08-26T20:47:54.7008466Z inductor/test_cutlass_evt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_evt_1.1_6c7c259327d9f5c9_.log 2025-08-26T20:47:54.7009527Z 2025-08-26T20:47:56.7760541Z 2025-08-26T20:47:56.7762082Z inductor/test_decompose_mem_bound_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_decompose_mem_bound_mm_1.1_378d9d2cb8d460e7_.log 2025-08-26T20:47:56.7768978Z 2025-08-26T20:47:58.1522840Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:47:58.1525854Z import pkg_resources 2025-08-26T20:47:58.2755581Z Running inductor/test_helion_kernels 1/1 ... [2025-08-26 20:47:58.275113] 2025-08-26T20:47:58.2756491Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:47:58.2760052Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_helion_kernels.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:47:58.275626] 2025-08-26T20:47:59.9203298Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:47:59.9206286Z import pkg_resources 2025-08-26T20:48:00.0439102Z Running dynamo/test_view 1/1 ... [2025-08-26 20:48:00.043012] 2025-08-26T20:48:00.0439569Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:00.0440748Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_view.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:00.043440] 2025-08-26T20:48:03.2113890Z 2025-08-26T20:48:03.2115277Z dynamo/test_view 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_view_1.1_72d27f6d669d495f_.log 2025-08-26T20:48:05.7443308Z 2025-08-26T20:48:05.7443325Z 2025-08-26T20:48:05.7444682Z inductor/test_helion_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_helion_kernels_1.1_a312cf17f7d91414_.log 2025-08-26T20:48:05.7445461Z 2025-08-26T20:48:06.3637539Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:48:06.3640475Z import pkg_resources 2025-08-26T20:48:06.4883964Z Running dynamo/test_subgraphs 1/1 ... [2025-08-26 20:48:06.487818] 2025-08-26T20:48:06.4884523Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:06.4888048Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_subgraphs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:06.488150] 2025-08-26T20:48:08.9202269Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:48:08.9205158Z import pkg_resources 2025-08-26T20:48:09.0420710Z Running inductor/test_multi_kernel 1/1 ... [2025-08-26 20:48:09.041675] 2025-08-26T20:48:09.0421594Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:09.0423376Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_multi_kernel.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:09.042033] 2025-08-26T20:48:09.8737895Z 2025-08-26T20:48:09.8739024Z dynamo/test_subgraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subgraphs_1.1_d05bdf11a66f8d2f_.log 2025-08-26T20:48:09.8739754Z 2025-08-26T20:48:13.0866675Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:48:13.0869789Z import pkg_resources 2025-08-26T20:48:13.2094966Z Running inductor/test_inductor_scheduler 1/1 ... [2025-08-26 20:48:13.209088] 2025-08-26T20:48:13.2095653Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:13.2098231Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_inductor_scheduler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:13.209460] 2025-08-26T20:48:16.0659023Z 2025-08-26T20:48:16.0660557Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_211722cc1bb4fa96_.log 2025-08-26T20:48:16.0661863Z 2025-08-26T20:48:19.2868515Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:48:19.2870122Z import pkg_resources 2025-08-26T20:48:19.4108679Z Running inductor/test_split_cat_fx_passes 1/1 ... [2025-08-26 20:48:19.410518] 2025-08-26T20:48:19.4109183Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:19.4112034Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_split_cat_fx_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:19.410913] 2025-08-26T20:48:20.2863599Z 2025-08-26T20:48:20.2865280Z inductor/test_inductor_scheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_scheduler_1.1_e554ff3fd368aee8_.log 2025-08-26T20:48:20.2869370Z Running 6 items in this shard: test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_disable_get_estimated_runtime_logging_cpu_float16, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_disable_get_estimated_runtime_logging_cpu_float32, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_flop_counter_op_options0_cpu_float16, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_flop_counter_op_options0_cpu_float32, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_flop_counter_op_options1_cpu_float16, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_flop_counter_op_options1_cpu_float32 2025-08-26T20:48:20.2872584Z 2025-08-26T20:48:23.4184792Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:48:23.4186371Z import pkg_resources 2025-08-26T20:48:23.5425278Z Running inductor/test_block_analysis 1/1 ... [2025-08-26 20:48:23.542148] 2025-08-26T20:48:23.5426087Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:23.5428675Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_block_analysis.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:23.542560] 2025-08-26T20:48:26.3677297Z 2025-08-26T20:48:26.3678600Z inductor/test_split_cat_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_passes_1.1_67a6469dc3b7cff5_.log 2025-08-26T20:48:26.3679622Z 2025-08-26T20:48:29.5426570Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:48:29.5428381Z import pkg_resources 2025-08-26T20:48:29.6666092Z Running export/test_cpp_serdes 1/1 ... [2025-08-26 20:48:29.666175] 2025-08-26T20:48:29.6666815Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:29.6668426Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_cpp_serdes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:29.666554] 2025-08-26T20:48:30.9189060Z 2025-08-26T20:48:30.9190997Z inductor/test_block_analysis 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_block_analysis_1.1_4057844eacf4d35f_.log 2025-08-26T20:48:30.9203190Z Running 10 items in this shard: test/inductor/test_block_analysis.py::BlockAnalysisTest::test_affine_identity_stride_3_symbol2_expr2, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_affine_identity_stride_4_symbol1_expr1, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_affine_identity_stride_5_symbol0_expr0, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_index_with_dynamic_shapes, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_mod_div_identity_dims0_strides0_symbol0_expr0, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_mod_div_identity_dims1_strides1_symbol1_expr1, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_mod_div_identity_dims2_strides2_symbol2_expr2, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_subexpr_identity_symbol0_expr0_subexpr0, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_subexpr_identity_symbol1_expr1_subexpr1, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_subexpr_identity_symbol2_expr2_subexpr2 2025-08-26T20:48:30.9214121Z 2025-08-26T20:48:34.0331045Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:48:34.0333457Z import pkg_resources 2025-08-26T20:48:34.1575459Z Running inductor/test_online_softmax 1/1 ... [2025-08-26 20:48:34.157133] 2025-08-26T20:48:34.1576224Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:34.1578411Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_online_softmax.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:34.157511] 2025-08-26T20:48:36.5947455Z 2025-08-26T20:48:36.5948738Z export/test_cpp_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_cpp_serdes_1.1_45c65ef2eb2e8b8d_.log 2025-08-26T20:48:36.5949530Z 2025-08-26T20:48:39.9944170Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:48:39.9947382Z import pkg_resources 2025-08-26T20:48:40.1179367Z Running inductor/test_cuda_repro 1/1 ... [2025-08-26 20:48:40.117521] 2025-08-26T20:48:40.1180122Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:40.1182872Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cuda_repro.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:40.117914] 2025-08-26T20:48:41.2681612Z 2025-08-26T20:48:41.2683290Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_88b074642a418284_.log 2025-08-26T20:48:44.4124151Z 2025-08-26T20:48:44.4127180Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:48:44.4129911Z import pkg_resources 2025-08-26T20:48:44.5377506Z Running dynamo/test_reconstruct 1/1 ... [2025-08-26 20:48:44.537293] 2025-08-26T20:48:44.5378454Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:44.5380583Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_reconstruct.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:44.537724] 2025-08-26T20:48:47.0853678Z 2025-08-26T20:48:47.0855301Z inductor/test_cuda_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_repro_1.1_70b908cdab978a13_.log 2025-08-26T20:48:47.0856600Z 2025-08-26T20:48:50.3059777Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:48:50.3061344Z import pkg_resources 2025-08-26T20:48:50.4322931Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-08-26 20:48:50.431890] 2025-08-26T20:48:50.4323448Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:50.4326347Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_graph_region_tracker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:50.432336] 2025-08-26T20:48:51.4422925Z 2025-08-26T20:48:51.4423964Z dynamo/test_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reconstruct_1.1_2383ac171c97000a_.log 2025-08-26T20:48:51.4424738Z 2025-08-26T20:48:53.8229670Z 2025-08-26T20:48:53.8230777Z dynamo/test_graph_region_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_region_tracker_1.1_7d0cee697085a652_.log 2025-08-26T20:48:53.8231637Z 2025-08-26T20:48:54.6789984Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:48:54.6791681Z import pkg_resources 2025-08-26T20:48:54.8035668Z Running inductor/test_fuzzer 1/1 ... [2025-08-26 20:48:54.803200] 2025-08-26T20:48:54.8036151Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:54.8038810Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fuzzer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:54.803608] 2025-08-26T20:48:56.5956221Z 2025-08-26T20:48:56.5957889Z functorch/test_aotdispatch 2/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_2.6_a0650eaaa173fb58_.log 2025-08-26T20:48:56.6167989Z Running 379 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_default_partitioner_saves_symints_not_tensors_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dynamic_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_metadata_mutation_aliases, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_output_view_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_return, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_storage_resize_before_set_, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_dupe_fake, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_dupe_left_bias, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_mark_outputs_dynamic_use_autograd_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_mark_outputs_dynamic_use_autograd_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned_flipped, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_multiple_mixed, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_some_outputs_dont_require_grad_non_view, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_functionalized_rng_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_dupes_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_mutation_on_input_requiring_grad_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_metadata_mutation_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_conv_and_bn, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_outdtype, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_reshape, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_with_cond_nested, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_simplified_pytrees_banned, test/functorch/test_aotdispatch.py::TestPartitioning::test_generate_gives_inference_graph, test/functorch/test_aotdispatch.py::TestPartitioning::test_min_cut_partitioner_output_tensor_shape_tensor, test/functorch/test_aotdispatch.py::TestPartitioning::test_min_cut_partitioner_raise_getitems, test/functorch/test_aotdispatch.py::TestPartitioning::test_preserve_random, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_simple, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_flex_attn_noncontiguous_tangents, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_grads_no_force_contiguous_dense, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_noncontig_nonmemformat_tangents_dynamic_shapes_True_test_subclasses_True_device_cuda, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_rrelu_with_noise_mutation, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_subclass_parameters_torture_case, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_tangent_type_coercion, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_jacrev_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_vjp_cpu, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___radd___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__segment_reduce_offsets_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__softmax_backward_data_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__unsafe_masked_index_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_abs_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_acos_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addmm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addr_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_alias_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_amax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_atan2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_block_diag_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_broadcast_shapes_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_broadcast_to_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_clamp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_clamp_max_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_column_stack_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_constant_pad_nd_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cummax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diagflat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diagonal_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diagonal_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_expand_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_expand_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_fftshift_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_ifft_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_ihfft_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_rfftn_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_flatten_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_float_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fmod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_full_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_grid_sampler_2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_hash_tensor_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_index_reduce_amin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_inner_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_isfinite_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_isnan_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_ldexp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_cholesky_ex_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_eigvalsh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_matrix_power_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_slogdet_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_solve_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_logdet_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_logical_xor_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_logsumexp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_lt_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_mT_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_masked_logsumexp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_masked_prod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_maximum_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_native_batch_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nextafter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_bilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_cross_entropy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_dropout3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_embedding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_glu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_hardtanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_l1_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_leaky_relu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_mish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_pad_constant_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_prelu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_relu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_softmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_softsign_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_tanhshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nonzero_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nonzero_static_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_qr_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_rand_like_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_randn_like_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_resize__cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_resolve_conj_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_round_decimals_neg_3_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_rsqrt_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_signal_windows_hamming_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_sort_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_bessel_y1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_spherical_bessel_j0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_std_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_svd_lowrank_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_t_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_take_along_dim_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_tanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_tensor_split_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_tensordot_cpu_float32, 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test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LogSoftmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MaxPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_NLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNN_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_SiLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Tanhshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Threshold_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_TransformerDecoderLayer_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ZeroPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveAvgPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveMaxPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AvgPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm3d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CircularPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConvTranspose3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CosineEmbeddingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GRUCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GRU_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Hardswish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm1d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm2d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LSTMCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Linear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LogSigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiheadAttention_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RNN_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RNN_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_SELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Sigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_SmoothL1Loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ZeroPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_pass_autocast_on, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_buffer_copied_in_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_buffer_copied_in_graph_with_different_shapes, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_default_partitioner_saves_symints_not_tensors_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dynamic_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_inplace_requires_grad_true, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_other_input2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_is_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_set__input_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inputs_overlapping_unsqueeze_with_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_multi_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses_non_homogenous, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_no_grad_input_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_and_returned_different_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_single, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_real_weights_in_symbolic_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_real_weights_in_symbolic_mode_with_inplace_ops, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_set__steals_view_chain, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_some_outputs_dont_require_grad_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_buffer_copied_in_graph_with_different_shapes, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_default_partitioner_saves_symints_not_tensors_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dupe_arg_returned_as_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dupe_arg_torture, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dynamic_shape_output_not_in_bw_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_inner_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_data_and_metadata_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_aliases_bases_out_of_order, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_and_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_hidden_from_autograd_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_modifies_autograd_meta_of_aliases, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_requires_grad_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_requires_grad_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_before_set_, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_up, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_output_view_mutate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mark_activations_dynamic_with_nested, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mem_leak_from_save_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mutation_of_input_in_fw_and_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_nested_subclasses_non_homogenous, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_new_inp_requires_grad_now, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_inplace_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_multiple_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_outputs_are_aliased, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_real_weights_in_symbolic_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__and_data_mutation_good, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_single_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_output_requires_grad_input_doesnt, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_outputs_dont_require_grad_non_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_outputs_dont_require_grad_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_squeeze_mutation 2025-08-26T20:48:56.6370224Z 2025-08-26T20:48:57.0598385Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:48:57.0600941Z import pkg_resources 2025-08-26T20:48:57.1844740Z Running dynamo/test_modules 1/1 ... [2025-08-26 20:48:57.184102] 2025-08-26T20:48:57.1845208Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:57.1848013Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:57.184518] 2025-08-26T20:48:59.8627762Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:48:59.8630669Z import pkg_resources 2025-08-26T20:48:59.9857126Z Running dynamo/test_config 1/1 ... [2025-08-26 20:48:59.985301] 2025-08-26T20:48:59.9857737Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:48:59.9859983Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:48:59.985696] 2025-08-26T20:49:01.8708019Z 2025-08-26T20:49:01.8709629Z inductor/test_fuzzer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fuzzer_1.1_2b81b0c45461de09_.log 2025-08-26T20:49:01.8710831Z 2025-08-26T20:49:03.5360268Z 2025-08-26T20:49:03.5361764Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_4d7d2392b368ca92_.log 2025-08-26T20:49:03.5362765Z 2025-08-26T20:49:04.3810830Z 2025-08-26T20:49:04.3812057Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_d985e2c1be8fc66e_.log 2025-08-26T20:49:04.3813159Z 2025-08-26T20:49:05.1398270Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:05.1401525Z import pkg_resources 2025-08-26T20:49:05.2635011Z Running export/test_package 1/1 ... [2025-08-26 20:49:05.263108] 2025-08-26T20:49:05.2635828Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:05.2637921Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:05.263473] 2025-08-26T20:49:06.7614778Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:06.7617729Z import pkg_resources 2025-08-26T20:49:06.8869248Z Running dynamo/test_resume 1/1 ... [2025-08-26 20:49:06.886517] 2025-08-26T20:49:06.8870303Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:06.8872345Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_resume.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:06.886894] 2025-08-26T20:49:07.6254083Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:07.6257225Z import pkg_resources 2025-08-26T20:49:07.7487944Z Running dynamo/test_export_mutations 1/1 ... [2025-08-26 20:49:07.748392] 2025-08-26T20:49:07.7488543Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:07.7490482Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_export_mutations.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:07.748774] 2025-08-26T20:49:09.0334518Z 2025-08-26T20:49:09.0335716Z export/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_package_1.1_49384d5678a0abc9_.log 2025-08-26T20:49:09.0338403Z Running 4 items in this shard: test/export/test_package.py::TestPackage::test_basic, test/export/test_package.py::TestPackage::test_error, test/export/test_package.py::TestPackage::test_more_than_once, test/export/test_package.py::TestPackage::test_overloads 2025-08-26T20:49:09.0340369Z 2025-08-26T20:49:10.1150030Z 2025-08-26T20:49:10.1156370Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_279da2a7e4db032f_.log 2025-08-26T20:49:10.1163487Z 2025-08-26T20:49:11.1660835Z 2025-08-26T20:49:11.1662421Z dynamo/test_export_mutations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_mutations_1.1_39f788b05d80c5e5_.log 2025-08-26T20:49:11.1663235Z 2025-08-26T20:49:12.3136477Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:12.3139527Z import pkg_resources 2025-08-26T20:49:12.4370338Z Running inductor/test_control_flow 1/1 ... [2025-08-26 20:49:12.436619] 2025-08-26T20:49:12.4371224Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:12.4373449Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:12.436982] 2025-08-26T20:49:13.4294000Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:13.4296927Z import pkg_resources 2025-08-26T20:49:13.5515366Z Running inductor/test_ordered_set 1/1 ... [2025-08-26 20:49:13.551178] 2025-08-26T20:49:13.5515934Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:13.5518827Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_ordered_set.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:13.551549] 2025-08-26T20:49:14.4011133Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:14.4012724Z import pkg_resources 2025-08-26T20:49:14.5239005Z Running export/test_db 1/1 ... [2025-08-26 20:49:14.523501] 2025-08-26T20:49:14.5239761Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:14.5242383Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_db.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:14.523896] 2025-08-26T20:49:16.7547042Z 2025-08-26T20:49:16.7548374Z inductor/test_ordered_set 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ordered_set_1.1_b3973c89740459dc_.log 2025-08-26T20:49:16.7549267Z 2025-08-26T20:49:19.4722076Z 2025-08-26T20:49:19.4723519Z inductor/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_1.1_7a02f6f75b37b9d4_.log 2025-08-26T20:49:19.4724397Z 2025-08-26T20:49:20.0657968Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:20.0660968Z import pkg_resources 2025-08-26T20:49:20.1903954Z Running dynamo/test_compile 1/1 ... [2025-08-26 20:49:20.190013] 2025-08-26T20:49:20.1904675Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:20.1908129Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_compile.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:20.190448] 2025-08-26T20:49:22.6785319Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:22.6788248Z import pkg_resources 2025-08-26T20:49:22.8028721Z Running inductor/test_dependencies 1/1 ... [2025-08-26 20:49:22.802446] 2025-08-26T20:49:22.8029645Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:22.8031898Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_dependencies.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:22.802823] 2025-08-26T20:49:23.6087902Z 2025-08-26T20:49:23.6088961Z dynamo/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compile_1.1_a10bb1e0bf8ff270_.log 2025-08-26T20:49:23.6089741Z 2025-08-26T20:49:26.8469680Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:26.8471262Z import pkg_resources 2025-08-26T20:49:26.9699421Z Running dynamo/test_guard_serialization 1/1 ... [2025-08-26 20:49:26.969536] 2025-08-26T20:49:26.9700110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:26.9701813Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_guard_serialization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:26.969908] 2025-08-26T20:49:29.8178421Z 2025-08-26T20:49:29.8179889Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_0741159086ad02f3_.log 2025-08-26T20:49:29.8181173Z 2025-08-26T20:49:32.9518979Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:32.9521831Z import pkg_resources 2025-08-26T20:49:33.0771727Z Running dynamo/test_install_free_tensors 1/1 ... [2025-08-26 20:49:33.076679] 2025-08-26T20:49:33.0772551Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:33.0774680Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_install_free_tensors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:33.077104] 2025-08-26T20:49:33.8751076Z 2025-08-26T20:49:33.8752632Z dynamo/test_guard_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_serialization_1.1_153763d00e2793e0_.log 2025-08-26T20:49:33.8753558Z 2025-08-26T20:49:36.4559440Z 2025-08-26T20:49:36.4560925Z dynamo/test_install_free_tensors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_install_free_tensors_1.1_f4973390f0001d0a_.log 2025-08-26T20:49:36.4561758Z 2025-08-26T20:49:37.0257494Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:37.0259067Z import pkg_resources 2025-08-26T20:49:37.1517883Z Running dynamo/test_after_aot 1/1 ... [2025-08-26 20:49:37.151376] 2025-08-26T20:49:37.1518769Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:37.1521144Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_after_aot.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:37.151789] 2025-08-26T20:49:39.7162801Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:39.7164646Z import pkg_resources 2025-08-26T20:49:39.8398803Z Running inductor/test_layout_optim 1/1 ... [2025-08-26 20:49:39.839484] 2025-08-26T20:49:39.8399731Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:39.8401976Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_layout_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:39.839841] 2025-08-26T20:49:40.5451084Z 2025-08-26T20:49:40.5452643Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_6012b60ffb4cd061_.log 2025-08-26T20:49:40.5454238Z 2025-08-26T20:49:42.2855420Z 2025-08-26T20:49:42.2857637Z export/test_db 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_db_1.1_2a969eec3ad7f339_.log 2025-08-26T20:49:42.2872132Z Running 36 items in this shard: test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_dynamic_shape_round, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_model_attr_mutation, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_optional_input, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_unsupported_operator, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_assume_constant_result, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_autograd_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_class_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_class_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_nested_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_nonlocal_variables, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_closed_over_variable, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_operands, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_predicate, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_constrain_as_size_example, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_constrain_as_value_example, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_decorator, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dictionary, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_assert, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_constructor, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_if_guard, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_map, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_slicing, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_view, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_fn_with_kwargs, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_list_contains, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_list_unpack, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_nested_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_null_context_manager, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_pytree_flatten, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_scalar_output, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_specialized_attribute, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_static_for_loop, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_static_if, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_tensor_setattr, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_type_reflection_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_user_input_mutation 2025-08-26T20:49:42.2885788Z 2025-08-26T20:49:43.7764069Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:43.7766989Z import pkg_resources 2025-08-26T20:49:43.8992971Z Running export/test_passes 1/1 ... [2025-08-26 20:49:43.898894] 2025-08-26T20:49:43.8993856Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:43.8996590Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:43.899299] 2025-08-26T20:49:45.5096836Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:45.5098376Z import pkg_resources 2025-08-26T20:49:45.6324394Z Running inductor/test_mkldnn_pattern_matcher 1/1 ... [2025-08-26 20:49:45.632040] 2025-08-26T20:49:45.6325099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:45.6327119Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:45.632415] 2025-08-26T20:49:46.7627684Z 2025-08-26T20:49:46.7629022Z inductor/test_layout_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_layout_optim_1.1_cad956dca459e995_.log 2025-08-26T20:49:46.7630231Z 2025-08-26T20:49:50.0006132Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:50.0009159Z import pkg_resources 2025-08-26T20:49:50.1237669Z Running dynamo/test_sources 1/1 ... [2025-08-26 20:49:50.123296] 2025-08-26T20:49:50.1238377Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:50.1240532Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_sources.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:50.123711] 2025-08-26T20:49:53.1726681Z 2025-08-26T20:49:53.1728175Z inductor/test_mkldnn_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_1a697f267f326af7_.log 2025-08-26T20:49:53.1729458Z 2025-08-26T20:49:53.2841635Z 2025-08-26T20:49:53.2842819Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_cb20e7bb6b533c9e_.log 2025-08-26T20:49:53.2843793Z 2025-08-26T20:49:56.4026693Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:56.4028538Z import pkg_resources 2025-08-26T20:49:56.5139910Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:49:56.5141600Z import pkg_resources 2025-08-26T20:49:56.5277405Z Running inductor/test_padding 1/1 ... [2025-08-26 20:49:56.527458] 2025-08-26T20:49:56.5277868Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:56.5281571Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_padding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:56.527834] 2025-08-26T20:49:56.6394002Z Running export/test_export_opinfo 1/1 ... [2025-08-26 20:49:56.638966] 2025-08-26T20:49:56.6395613Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:49:56.6397721Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:56.639397] 2025-08-26T20:50:03.5761189Z 2025-08-26T20:50:03.5762500Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_0e2ea8177b8bdf1f_.log 2025-08-26T20:50:03.5763636Z 2025-08-26T20:50:06.7919136Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:50:06.7922102Z import pkg_resources 2025-08-26T20:50:06.9169851Z Running inductor/test_needs_exact_strides 1/1 ... [2025-08-26 20:50:06.916570] 2025-08-26T20:50:06.9170709Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:50:06.9173148Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_needs_exact_strides.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:50:06.916975] 2025-08-26T20:50:13.9674994Z 2025-08-26T20:50:13.9676569Z inductor/test_needs_exact_strides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_needs_exact_strides_1.1_05b4a7c7410106f2_.log 2025-08-26T20:50:13.9677874Z 2025-08-26T20:50:17.0681832Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:50:17.0684815Z import pkg_resources 2025-08-26T20:50:17.1906054Z Running nn/test_multihead_attention 1/1 ... [2025-08-26 20:50:17.190138] 2025-08-26T20:50:17.1906920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:50:17.1908889Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:50:17.190525] 2025-08-26T20:50:21.8239459Z 2025-08-26T20:50:21.8240708Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_9fcae0fa10938f69_.log 2025-08-26T20:50:21.8260356Z Running 27 items in this shard: test/export/test_passes.py::TestPasses::test_constant_folding_pass, test/export/test_passes.py::TestPasses::test_custom_obj_tuple_out, test/export/test_passes.py::TestPasses::test_fakify_script_objects, test/export/test_passes.py::TestPasses::test_fakify_script_objects_properly_handle_containers, test/export/test_passes.py::TestPasses::test_functionalization_with_view_copy, test/export/test_passes.py::TestPasses::test_inline_, test/export/test_passes.py::TestPasses::test_math_ops, test/export/test_passes.py::TestPasses::test_move_device_submod, test/export/test_passes.py::TestPasses::test_move_device_to, test/export/test_passes.py::TestPasses::test_move_to_device_pass, test/export/test_passes.py::TestPasses::test_predispatch_autocast, test/export/test_passes.py::TestPasses::test_predispatch_autocast_and_set_grad, test/export/test_passes.py::TestPasses::test_predispatch_set_grad, test/export/test_passes.py::TestPasses::test_remove_auto_functionalized_pass, test/export/test_passes.py::TestPasses::test_remove_auto_functionalized_pass_tuple, test/export/test_passes.py::TestPasses::test_remove_effect_token_kwargs, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_cond, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_item, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_nonzero, test/export/test_passes.py::TestPasses::test_runtime_assert_multiple_dims, test/export/test_passes.py::TestPasses::test_runtime_assert_one_dim, test/export/test_passes.py::TestPasses::test_runtime_assert_some_dims_not_specified, test/export/test_passes.py::TestPasses::test_runtime_assert_some_inps_not_used, test/export/test_passes.py::TestPasses::test_sequential_split, test/export/test_passes.py::TestPasses::test_sequential_split_graph, test/export/test_passes.py::TestPasses::test_view_to_view_copy, test/export/test_passes.py::TestPasses::test_views_op_having_view_copy 2025-08-26T20:50:21.8277093Z 2025-08-26T20:50:24.9390183Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:50:24.9393622Z import pkg_resources 2025-08-26T20:50:25.0619196Z Running inductor/test_minifier_isolate 1/1 ... [2025-08-26 20:50:25.061360] 2025-08-26T20:50:25.0620456Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:50:25.0623131Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_minifier_isolate.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:50:25.061714] 2025-08-26T20:50:26.9224031Z 2025-08-26T20:50:26.9225882Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_ceecaf555a7b6c65_.log 2025-08-26T20:50:26.9252777Z Running 19 items in this shard: test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attention_average_attn_weights_False, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attention_average_attn_weights_True, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_3d_attn_mask, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_fast_path_invalid_shape, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_invalid_shape, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_nested_tensor_outside_fast_path, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_no_bias, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float16, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float32, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float16, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float32, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_fast_path_query_and_bias_have_different_dtypes_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_fast_path_small_test_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_in_proj_bias_none_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_in_proj_weight_none_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_self_attn_two_masks_fast_path_cpu, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_self_attn_two_masks_fast_path_mock_cpu 2025-08-26T20:50:26.9279683Z 2025-08-26T20:50:30.1689577Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:50:30.1691149Z import pkg_resources 2025-08-26T20:50:30.2930376Z Running export/test_upgrader 1/1 ... [2025-08-26 20:50:30.292699] 2025-08-26T20:50:30.2930868Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:50:30.2934550Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_upgrader.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:50:30.293055] 2025-08-26T20:50:32.0301439Z 2025-08-26T20:50:32.0303033Z inductor/test_minifier_isolate 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_isolate_1.1_acaf35d3e2f0dcc6_.log 2025-08-26T20:50:32.0304446Z 2025-08-26T20:50:33.4679680Z 2025-08-26T20:50:33.4680974Z export/test_upgrader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_upgrader_1.1_15518aeb65e84eef_.log 2025-08-26T20:50:33.4681745Z 2025-08-26T20:50:35.3046638Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:50:35.3048249Z import pkg_resources 2025-08-26T20:50:35.4270578Z Running export/test_export 1/1 ... [2025-08-26 20:50:35.426710] 2025-08-26T20:50:35.4271119Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:50:35.4273731Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:50:35.427073] 2025-08-26T20:50:36.7458422Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:50:36.7461508Z import pkg_resources 2025-08-26T20:50:36.8708912Z Running dynamo/test_backward_higher_order_ops 1/1 ... [2025-08-26 20:50:36.870449] 2025-08-26T20:50:36.8709914Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:50:36.8711869Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_backward_higher_order_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:50:36.870871] 2025-08-26T20:50:40.2930471Z 2025-08-26T20:50:40.2932209Z dynamo/test_backward_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backward_higher_order_ops_1.1_b00a4bd8d4b41d67_.log 2025-08-26T20:50:40.2933146Z 2025-08-26T20:50:43.4711519Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:50:43.4714577Z import pkg_resources 2025-08-26T20:50:43.5957921Z Running export/test_swap 1/1 ... [2025-08-26 20:50:43.595402] 2025-08-26T20:50:43.5958729Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:50:43.5961320Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_swap.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:50:43.595822] 2025-08-26T20:50:56.5804585Z 2025-08-26T20:50:56.5805925Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_fb04933b61d9a163_.log 2025-08-26T20:50:56.5823667Z Running 18 items in this shard: test/export/test_swap.py::TestSwap_nonstrict::test_custom_input_args, test/export/test_swap.py::TestSwap_nonstrict::test_custom_input_kwargs, test/export/test_swap.py::TestSwap_nonstrict::test_custom_output, test/export/test_swap.py::TestSwap_nonstrict::test_dedup_sym_size, test/export/test_swap.py::TestSwap_nonstrict::test_nested_leaf, test/export/test_swap.py::TestSwap_nonstrict::test_remove_duplicate_pytree_different_order, test/export/test_swap.py::TestSwap_nonstrict::test_remove_duplicate_pytree_simple, test/export/test_swap.py::TestSwap_nonstrict::test_unflatten_preserve_signature, test/export/test_swap.py::TestSwap_nonstrict::test_unflatten_preserve_with_unused_input, test/export/test_swap.py::TestSwap_strict::test_custom_input_args, test/export/test_swap.py::TestSwap_strict::test_custom_input_kwargs, test/export/test_swap.py::TestSwap_strict::test_custom_output, test/export/test_swap.py::TestSwap_strict::test_dedup_sym_size, test/export/test_swap.py::TestSwap_strict::test_nested_leaf, test/export/test_swap.py::TestSwap_strict::test_remove_duplicate_pytree_different_order, test/export/test_swap.py::TestSwap_strict::test_remove_duplicate_pytree_simple, test/export/test_swap.py::TestSwap_strict::test_unflatten_preserve_signature, test/export/test_swap.py::TestSwap_strict::test_unflatten_preserve_with_unused_input 2025-08-26T20:50:56.5835842Z 2025-08-26T20:51:00.7539292Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:51:00.7542708Z import pkg_resources 2025-08-26T20:51:00.9335819Z Running dynamo/test_export 1/1 ... [2025-08-26 20:51:00.933120] 2025-08-26T20:51:00.9336967Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:51:00.9344057Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_export.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:51:00.933567] 2025-08-26T20:51:05.2888678Z 2025-08-26T20:51:05.2890110Z dynamo/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_1.1_18a673eb48cf7c62_.log 2025-08-26T20:51:05.2891306Z 2025-08-26T20:51:08.4461842Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:51:08.4464737Z import pkg_resources 2025-08-26T20:51:08.5708621Z Running dynamo/test_flat_apply 1/1 ... [2025-08-26 20:51:08.570451] 2025-08-26T20:51:08.5709400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:51:08.5711916Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:51:08.570821] 2025-08-26T20:51:11.9584538Z 2025-08-26T20:51:11.9585661Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_afb3a9453041cc1c_.log 2025-08-26T20:51:11.9586416Z 2025-08-26T20:51:15.1229847Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:51:15.1231410Z import pkg_resources 2025-08-26T20:51:15.2462365Z Running dynamo/test_verify_correctness 1/1 ... [2025-08-26 20:51:15.245808] 2025-08-26T20:51:15.2462995Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:51:15.2465409Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:51:15.246246] 2025-08-26T20:51:18.6171566Z 2025-08-26T20:51:18.6173218Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_9146d651bc42f3ee_.log 2025-08-26T20:51:18.6174650Z 2025-08-26T20:51:21.8526419Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:51:21.8527996Z import pkg_resources 2025-08-26T20:51:21.9781246Z Running inductor/test_unbacked_symints 1/1 ... [2025-08-26 20:51:21.977723] 2025-08-26T20:51:21.9781957Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:51:21.9784329Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_unbacked_symints.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:51:21.978126] 2025-08-26T20:51:29.0674974Z 2025-08-26T20:51:29.0676497Z inductor/test_unbacked_symints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_unbacked_symints_1.1_07c03e227cc01443_.log 2025-08-26T20:51:29.0678061Z 2025-08-26T20:51:30.7879858Z 2025-08-26T20:51:30.7881502Z export/test_export_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_opinfo_1.1_c3fb831972ca4ccd_.log 2025-08-26T20:51:30.8417640Z Running 672 items in this shard: test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_H_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_T_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export___getitem___cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export___radd___cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export___rdiv___cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export___rmatmul___cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export___rmod___cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export___rmul___cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export___rpow___cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export___rsub___cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export__batch_norm_with_update_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export__chunk_cat_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export__native_batch_norm_legit_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export__segment_reduce_lengths_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export__segment_reduce_offsets_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export__softmax_backward_data_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export__unsafe_masked_index_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export__unsafe_masked_index_put_accumulate_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export__upsample_bilinear2d_aa_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_abs_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_acos_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_acosh_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_add_cpu_float32, 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test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_std_mean_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_std_mean_unbiased_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_std_unbiased_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_stft_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_sub_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_sum_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_sum_to_size_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_svd_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_svd_lowrank_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_t_copy_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_t_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_take_along_dim_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_take_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_tan_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_tanh_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_tensor_split_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_tensordot_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_tile_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_to_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_to_sparse_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_topk_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_torch_ops_aten__safe_softmax_default_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_trace_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_transpose_copy_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_transpose_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_trapezoid_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_trapz_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_triangular_solve_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_tril_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_triu_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_true_divide_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_trunc_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_unbind_copy_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_unbind_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_unflatten_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_unfold_copy_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_unfold_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_uniform_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_unique_consecutive_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_unique_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_unsafe_chunk_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_unsafe_split_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_unsqueeze_copy_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_unsqueeze_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_var_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_var_mean_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_var_mean_unbiased_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_var_unbiased_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_vdot_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_view_as_complex_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_view_as_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_view_copy_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_view_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_vsplit_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_vstack_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_where_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_xlogy_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_zero__cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_zeros_cpu_float32, test/export/test_export_opinfo.py::TestExportOpInfoCPU::test_fake_export_zeros_like_cpu_float32 2025-08-26T20:51:30.8861439Z 2025-08-26T20:51:32.3581440Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:51:32.3583009Z import pkg_resources 2025-08-26T20:51:32.4817870Z Running dynamo/test_cudagraphs 1/1 ... [2025-08-26 20:51:32.481320] 2025-08-26T20:51:32.4818459Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:51:32.4819768Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:51:32.481698] 2025-08-26T20:51:33.9793669Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:51:33.9796581Z import pkg_resources 2025-08-26T20:51:34.1044414Z Running export/test_unflatten 1/1 ... [2025-08-26 20:51:34.104018] 2025-08-26T20:51:34.1045185Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:51:34.1047314Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:51:34.104385] 2025-08-26T20:51:35.9875756Z 2025-08-26T20:51:35.9877027Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_7b0d3376024519f3_.log 2025-08-26T20:51:35.9878036Z 2025-08-26T20:51:39.2932066Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:51:39.2934936Z import pkg_resources 2025-08-26T20:51:39.4569276Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2025-08-26 20:51:39.456483] 2025-08-26T20:51:39.4570877Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:51:39.4574256Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:51:39.456917] 2025-08-26T20:51:47.2262597Z 2025-08-26T20:51:47.2264064Z inductor/test_efficient_conv_bn_eval 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_efficient_conv_bn_eval_1.1_e50a523629c9d315_.log 2025-08-26T20:51:47.2265411Z 2025-08-26T20:51:47.8786355Z Uploading artifacts took 0.65 seconds 2025-08-26T20:51:50.4387313Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:51:50.4390172Z import pkg_resources 2025-08-26T20:51:50.5633105Z Running export/test_nativert 1/1 ... [2025-08-26 20:51:50.562842] 2025-08-26T20:51:50.5633970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:51:50.5636022Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_nativert.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:51:50.563202] 2025-08-26T20:51:52.4987442Z 2025-08-26T20:51:52.4992058Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_b48d5480a67f4c0d_.log 2025-08-26T20:51:52.5003920Z Running 28 items in this shard: test/export/test_unflatten.py::TestUnflatten::test_assert_tensor_metadata_stack, test/export/test_unflatten.py::TestUnflatten::test_attr_as_submod_input, test/export/test_unflatten.py::TestUnflatten::test_dedup_sym_size, test/export/test_unflatten.py::TestUnflatten::test_double_nested_submodule, test/export/test_unflatten.py::TestUnflatten::test_duplicate_placeholder, test/export/test_unflatten.py::TestUnflatten::test_fx_trace, test/export/test_unflatten.py::TestUnflatten::test_nested_leaf_non_strict, test/export/test_unflatten.py::TestUnflatten::test_placeholder_and_get_attr_ordering_after_unflattened, test/export/test_unflatten.py::TestUnflatten::test_simple_alias, test/export/test_unflatten.py::TestUnflatten::test_unflatten_buffer_mutation, test/export/test_unflatten.py::TestUnflatten::test_unflatten_constant_obj, test/export/test_unflatten.py::TestUnflatten::test_unflatten_constant_tensor, test/export/test_unflatten.py::TestUnflatten::test_unflatten_container_type, test/export/test_unflatten.py::TestUnflatten::test_unflatten_eager, test/export/test_unflatten.py::TestUnflatten::test_unflatten_empty_branch, test/export/test_unflatten.py::TestUnflatten::test_unflatten_nested, test/export/test_unflatten.py::TestUnflatten::test_unflatten_nested_access, test/export/test_unflatten.py::TestUnflatten::test_unflatten_none, test/export/test_unflatten.py::TestUnflatten::test_unflatten_param_list_dict, test/export/test_unflatten.py::TestUnflatten::test_unflatten_preserve_signature, test/export/test_unflatten.py::TestUnflatten::test_unflatten_preserve_with_unused_input, test/export/test_unflatten.py::TestUnflatten::test_unflatten_requires_grad_param, test/export/test_unflatten.py::TestUnflatten::test_unflatten_shared_submodule, test/export/test_unflatten.py::TestUnflatten::test_unflatten_skipped_call_module, test/export/test_unflatten.py::TestUnflatten::test_unflatten_submodule_ordering, test/export/test_unflatten.py::TestUnflatten::test_unflatten_with_inplace_compile, test/export/test_unflatten.py::TestUnflatten::test_unflatten_wrong_input, test/export/test_unflatten.py::TestUnflatten::test_unflattened_module_nodes_has_meta_val 2025-08-26T20:51:52.5014405Z 2025-08-26T20:51:55.7116075Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:51:55.7118991Z import pkg_resources 2025-08-26T20:51:55.8358714Z Running inductor/test_mmdecomp 1/1 ... [2025-08-26 20:51:55.835447] 2025-08-26T20:51:55.8359272Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:51:55.8362282Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_mmdecomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:51:55.835914] 2025-08-26T20:51:57.9566758Z 2025-08-26T20:51:57.9567851Z export/test_nativert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_nativert_1.1_35c710282f013c93_.log 2025-08-26T20:51:57.9568836Z 2025-08-26T20:52:01.1627401Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:01.1629038Z import pkg_resources 2025-08-26T20:52:01.2854978Z Running dynamo/test_unspec 1/1 ... [2025-08-26 20:52:01.285088] 2025-08-26T20:52:01.2855575Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:01.2857073Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_unspec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:01.285413] 2025-08-26T20:52:03.9131372Z 2025-08-26T20:52:03.9132744Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_33805832319e3e62_.log 2025-08-26T20:52:03.9151320Z Running 24 items in this shard: test/inductor/test_mmdecomp.py::TestDecompCPU::test_batched_mm_float32_bs_10_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_batched_mm_float32_bs_1_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_batched_mm_float32_bs_2_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_batched_mm_float32_bs_4_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_bmm_batch2_last_dim_size_is_one_cpu, test/inductor/test_mmdecomp.py::TestDecompCPU::test_dynamic_shape_mm_bfloat16_cpu_bfloat16, test/inductor/test_mmdecomp.py::TestDecompCPU::test_dynamic_shape_mm_float32_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_simple_mm_bfloat16_cpu_bfloat16, test/inductor/test_mmdecomp.py::TestDecompCPU::test_simple_mm_float32_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_bfloat16_bs_10_cpu_bfloat16, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_bfloat16_bs_1_cpu_bfloat16, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_bfloat16_bs_2_cpu_bfloat16, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_bfloat16_bs_4_cpu_bfloat16, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_float32_bs_10_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_float32_bs_1_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_float32_bs_2_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_float32_bs_4_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_int32_bs_10_cpu_int32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_int32_bs_1_cpu_int32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_int32_bs_2_cpu_int32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_batched_int32_bs_4_cpu_int32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_bfloat16_cpu_bfloat16, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_float32_cpu_float32, test/inductor/test_mmdecomp.py::TestDecompCPU::test_some_int32_cpu_int32 2025-08-26T20:52:03.9169405Z 2025-08-26T20:52:04.8894107Z 2025-08-26T20:52:04.8895569Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_c46efc1c5deaf650_.log 2025-08-26T20:52:04.8896729Z 2025-08-26T20:52:07.1714656Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:07.1717493Z import pkg_resources 2025-08-26T20:52:07.2954924Z Running dynamo/test_compiler_bisector 1/1 ... [2025-08-26 20:52:07.295021] 2025-08-26T20:52:07.2955654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:07.2957280Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:07.295386] 2025-08-26T20:52:08.0970404Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:08.0973722Z import pkg_resources 2025-08-26T20:52:08.2195111Z Running dynamo/test_graph_deduplication 1/1 ... [2025-08-26 20:52:08.219089] 2025-08-26T20:52:08.2195929Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:08.2198667Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:08.219515] 2025-08-26T20:52:11.6257880Z 2025-08-26T20:52:11.6259231Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_03eea8b945352537_.log 2025-08-26T20:52:14.2924151Z 2025-08-26T20:52:14.2924171Z 2025-08-26T20:52:14.2925793Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_c175accc1963c18e_.log 2025-08-26T20:52:14.2926914Z 2025-08-26T20:52:14.8522791Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:14.8525201Z import pkg_resources 2025-08-26T20:52:14.9777933Z Running export/test_schema 1/1 ... [2025-08-26 20:52:14.977396] 2025-08-26T20:52:14.9778900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:14.9781059Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:14.977777] 2025-08-26T20:52:17.6287820Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:17.6290557Z import pkg_resources 2025-08-26T20:52:17.7536057Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-08-26 20:52:17.753167] 2025-08-26T20:52:17.7536799Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:17.7539082Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_input_attr_tracking.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:17.753566] 2025-08-26T20:52:18.4985679Z 2025-08-26T20:52:18.4986599Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_be7795ca18f4bd78_.log 2025-08-26T20:52:18.4988882Z Running 5 items in this shard: test/export/test_schema.py::TestSchema::test_schema_check, test/export/test_schema.py::TestSchema::test_schema_comparison, test/export/test_schema.py::TestSchema::test_schema_compatibility, test/export/test_schema.py::TestSchema::test_schema_diff, test/export/test_schema.py::TestSchema::test_thrift_schema_unchanged 2025-08-26T20:52:18.4990528Z 2025-08-26T20:52:21.2436303Z 2025-08-26T20:52:21.2437377Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_b946693201a18a1e_.log 2025-08-26T20:52:21.2438185Z 2025-08-26T20:52:21.7902739Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:21.7905424Z import pkg_resources 2025-08-26T20:52:21.9173781Z Running nn/test_pruning 1/1 ... [2025-08-26 20:52:21.916982] 2025-08-26T20:52:21.9174423Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:21.9176495Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_pruning.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:21.917375] 2025-08-26T20:52:22.8734284Z 2025-08-26T20:52:22.8735657Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_248af79f672e5b36_.log 2025-08-26T20:52:22.8988749Z Running 438 items in this shard: test/export/test_export.py::TestDynamismExpression::test_export_assume_static_by_default, test/export/test_export.py::TestDynamismExpression::test_export_constraints_error, test/export/test_export.py::TestDynamismExpression::test_export_constraints_error_not_in_range, test/export/test_export.py::TestDynamismExpression::test_export_inline_constraints, test/export/test_export.py::TestDynamismExpression::test_export_slice_maxsize, test/export/test_export.py::TestDynamismExpression::test_export_slice_unbacked_dim1, test/export/test_export.py::TestDynamismExpression::test_export_strict_narrow_unbacked_expr, test/export/test_export.py::TestDynamismExpression::test_no_grad_param_inplace, test/export/test_export.py::TestDynamismExpression::test_reshape_view_backed_size_oblivious, test/export/test_export.py::TestExport::test__scaled_dot_product_flash_attention, test/export/test_export.py::TestExport::test_additional_inputs_constants, test/export/test_export.py::TestExport::test_allow_explicit_guards_as_runtime_asserts, test/export/test_export.py::TestExport::test_args_type_checked, test/export/test_export.py::TestExport::test_aten_lift_fresh_copy, test/export/test_export.py::TestExport::test_attention, test/export/test_export.py::TestExport::test_attr_assignment_extra, test/export/test_export.py::TestExport::test_automatic_constrain_size, test/export/test_export.py::TestExport::test_automatic_dynamic_shapes_constant_relation, test/export/test_export.py::TestExport::test_automatic_dynamic_shapes_linear_relation, test/export/test_export.py::TestExport::test_automatic_dynamic_shapes_simple_equality, test/export/test_export.py::TestExport::test_baddbmm, test/export/test_export.py::TestExport::test_basic, test/export/test_export.py::TestExport::test_basic_non_strict_fake_tensor, test/export/test_export.py::TestExport::test_basic_non_strict_real_tensor, test/export/test_export.py::TestExport::test_bincount, test/export/test_export.py::TestExport::test_buffer_util, test/export/test_export.py::TestExport::test_capture_subclass_constructor, test/export/test_export.py::TestExport::test_capture_subclass_constructor_torch_ir, test/export/test_export.py::TestExport::test_capture_subclass_wrong, test/export/test_export.py::TestExport::test_ccode_python_mod, test/export/test_export.py::TestExport::test_check_specialized_int, test/export/test_export.py::TestExport::test_checks_to_constrain_range, test/export/test_export.py::TestExport::test_cleanup_dynamic_markers, test/export/test_export.py::TestExport::test_colin_unbacked_backed_vr_sub, test/export/test_export.py::TestExport::test_colon_parameter, test/export/test_export.py::TestExport::test_compiling_state, test/export/test_export.py::TestExport::test_cond_access_identical_symint_closure, test/export/test_export.py::TestExport::test_cond_branches_return_constant_int, test/export/test_export.py::TestExport::test_cond_branches_return_same_int, test/export/test_export.py::TestExport::test_cond_buffers, test/export/test_export.py::TestExport::test_cond_contains_unbacked_no_escape, test/export/test_export.py::TestExport::test_cond_int_closure, test/export/test_export.py::TestExport::test_cond_unflatten, test/export/test_export.py::TestExport::test_cond_with_module_stack_export_with, test/export/test_export.py::TestExport::test_cond_with_module_stack_export_with_unflatten, test/export/test_export.py::TestExport::test_constant_aliasing, test/export/test_export.py::TestExport::test_constant_input_naming, test/export/test_export.py::TestExport::test_constant_no_user_inp, test/export/test_export.py::TestExport::test_constant_output, test/export/test_export.py::TestExport::test_constant_output_dup, test/export/test_export.py::TestExport::test_constant_requires_grad_const, test/export/test_export.py::TestExport::test_constant_return, test/export/test_export.py::TestExport::test_constant_tensor_mutation, test/export/test_export.py::TestExport::test_constant_tensor_with_non_functional, test/export/test_export.py::TestExport::test_constant_tensor_with_non_functional_nested, test/export/test_export.py::TestExport::test_constrain_decomp, test/export/test_export.py::TestExport::test_constrain_size_in_eager, test/export/test_export.py::TestExport::test_constrain_size_with_constrain_value, test/export/test_export.py::TestExport::test_constrain_size_with_various_cases, test/export/test_export.py::TestExport::test_conv_dynamic, test/export/test_export.py::TestExport::test_crop_like, test/export/test_export.py::TestExport::test_cse_for_symint, test/export/test_export.py::TestExport::test_custom_op_auto_functionalize, test/export/test_export.py::TestExport::test_custom_op_auto_functionalize_pre_dispatch, test/export/test_export.py::TestExport::test_custom_op_auto_warn_pre_dispatch, test/export/test_export.py::TestExport::test_custom_op_preserve, test/export/test_export.py::TestExport::test_custom_pytree, test/export/test_export.py::TestExport::test_custom_tag_metadata_re_export, test/export/test_export.py::TestExport::test_decomp_batch_norm_functional_predispatch, test/export/test_export.py::TestExport::test_decomp_item_in_prim_after_decomposition, test/export/test_export.py::TestExport::test_decomp_item_in_prim_before_decomposition, test/export/test_export.py::TestExport::test_default_decomposition_core_cia_ops, test/export/test_export.py::TestExport::test_derived_dim_1_2, test/export/test_export.py::TestExport::test_derived_dim_basic, test/export/test_export.py::TestExport::test_derived_dim_integer, test/export/test_export.py::TestExport::test_derived_dim_nested, test/export/test_export.py::TestExport::test_derived_dim_out_of_order, test/export/test_export.py::TestExport::test_derived_dim_out_of_order_repeat_derived, test/export/test_export.py::TestExport::test_derived_dim_out_of_order_simplified, test/export/test_export.py::TestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived, test/export/test_export.py::TestExport::test_derived_dim_repeat_derived, test/export/test_export.py::TestExport::test_detect_leak_strict, test/export/test_export.py::TestExport::test_device_to_dynamic, test/export/test_export.py::TestExport::test_device_to_gpu, test/export/test_export.py::TestExport::test_device_to_mutation, test/export/test_export.py::TestExport::test_device_to_mutation_float, test/export/test_export.py::TestExport::test_device_to_static, test/export/test_export.py::TestExport::test_dim_1_2, test/export/test_export.py::TestExport::test_dim_auto_and_dim, test/export/test_export.py::TestExport::test_dim_dynamic, test/export/test_export.py::TestExport::test_dim_dynamic_divisibility, test/export/test_export.py::TestExport::test_dim_dynamic_specialization, test/export/test_export.py::TestExport::test_dim_hint_range_violations, test/export/test_export.py::TestExport::test_dim_hint_ranges, test/export/test_export.py::TestExport::test_disable_forced_specializations_errors, test/export/test_export.py::TestExport::test_disable_forced_specializations_ok, test/export/test_export.py::TestExport::test_distributed_all_gather, test/export/test_export.py::TestExport::test_distributed_all_gather_into_tensor, test/export/test_export.py::TestExport::test_distributed_all_reduce, test/export/test_export.py::TestExport::test_distributed_all_to_all_single, test/export/test_export.py::TestExport::test_distributed_reduce_scatter_tensor, test/export/test_export.py::TestExport::test_dont_duck_size_for_auto_dynamic, test/export/test_export.py::TestExport::test_double_lifted_constants, test/export/test_export.py::TestExport::test_draft_export_checks_aliasing, test/export/test_export.py::TestExport::test_draft_export_checks_mutation, test/export/test_export.py::TestExport::test_draft_export_checks_mutation_list, test/export/test_export.py::TestExport::test_draft_export_checks_mutation_with_nan, test/export/test_export.py::TestExport::test_draft_export_fake_kernel_inference_errors, test/export/test_export.py::TestExport::test_draft_export_infers_fake_kernel, test/export/test_export.py::TestExport::test_duplicate_modules_with_non_persistent_buffers, test/export/test_export.py::TestExport::test_dynamic_lr_shift, test/export/test_export.py::TestExport::test_dynamic_shapes_bounds, test/export/test_export.py::TestExport::test_dynamic_shapes_builder_basic, test/export/test_export.py::TestExport::test_dynamic_shapes_builder_kwargs, test/export/test_export.py::TestExport::test_dynamic_shapes_builder_pytree, test/export/test_export.py::TestExport::test_dynamic_shapes_dataclass, test/export/test_export.py::TestExport::test_dynamic_shapes_inferred_basic, test/export/test_export.py::TestExport::test_dynamic_shapes_serdes_generic, test/export/test_export.py::TestExport::test_dynamic_shapes_serdes_user_errors, test/export/test_export.py::TestExport::test_dynamic_shapes_serdes_various, test/export/test_export.py::TestExport::test_dynamic_shapes_spec_with_pytree, test/export/test_export.py::TestExport::test_dynamic_sym_round, test/export/test_export.py::TestExport::test_ends_of_bounds_oblivious, test/export/test_export.py::TestExport::test_error_does_not_reference_eager_fallback, test/export/test_export.py::TestExport::test_error_when_passing_mutating_primitive_op, test/export/test_export.py::TestExport::test_exception, test/export/test_export.py::TestExport::test_export_api_with_dynamic_shapes, test/export/test_export.py::TestExport::test_export_as_backend, test/export/test_export.py::TestExport::test_export_associative_scan_lifted_buffers, test/export/test_export.py::TestExport::test_export_associative_scan_symbol_dim, test/export/test_export.py::TestExport::test_export_associative_scan_symbol_scandim, test/export/test_export.py::TestExport::test_export_aten_to_unflatten, test/export/test_export.py::TestExport::test_export_aten_to_unflatten_subclass, test/export/test_export.py::TestExport::test_export_aten_to_unflatten_subclass_pre_dispatch, test/export/test_export.py::TestExport::test_export_cond_preserve_torch_fn_for_subgraphs, test/export/test_export.py::TestExport::test_export_cond_symbool_pred, test/export/test_export.py::TestExport::test_export_cond_warns_constant_pred, test/export/test_export.py::TestExport::test_export_custom_decomp_table_basic_pop, test/export/test_export.py::TestExport::test_export_custom_decomp_table_container_methods, test/export/test_export.py::TestExport::test_export_custom_op_lib, test/export/test_export.py::TestExport::test_export_custom_triton_kernel, test/export/test_export.py::TestExport::test_export_custom_triton_kernel_mutable, test/export/test_export.py::TestExport::test_export_decomp_torture_case_1, test/export/test_export.py::TestExport::test_export_decomp_torture_case_2, test/export/test_export.py::TestExport::test_export_decomps_dynamic, test/export/test_export.py::TestExport::test_export_decomps_simple, test/export/test_export.py::TestExport::test_export_dynamo_config, test/export/test_export.py::TestExport::test_export_for_training_run_decomp, test/export/test_export.py::TestExport::test_export_for_training_with_container_type, test/export/test_export.py::TestExport::test_export_for_training_with_dynamic_shapes, test/export/test_export.py::TestExport::test_export_for_training_with_mutation, test/export/test_export.py::TestExport::test_export_for_training_with_state_dict_hooks, test/export/test_export.py::TestExport::test_export_func_with_default_kwargs, test/export/test_export.py::TestExport::test_export_func_with_keyword_only_args, test/export/test_export.py::TestExport::test_export_func_with_kwargs, test/export/test_export.py::TestExport::test_export_func_with_pytree_kwargs, test/export/test_export.py::TestExport::test_export_func_with_var_keyword_args, test/export/test_export.py::TestExport::test_export_func_with_var_keyword_pytree_args, test/export/test_export.py::TestExport::test_export_func_with_var_postional_args, test/export/test_export.py::TestExport::test_export_function_schema, test/export/test_export.py::TestExport::test_export_graph_with_no_inputs, test/export/test_export.py::TestExport::test_export_input_mutation_bug, test/export/test_export.py::TestExport::test_export_input_mutation_dynamic_shape, test/export/test_export.py::TestExport::test_export_input_mutation_static_shape, test/export/test_export.py::TestExport::test_export_linear_preserve_dynamic_shape, test/export/test_export.py::TestExport::test_export_max_nonstrict, test/export/test_export.py::TestExport::test_export_max_onnx_reported, test/export/test_export.py::TestExport::test_export_method, test/export/test_export.py::TestExport::test_export_mod_constraints, test/export/test_export.py::TestExport::test_export_module, test/export/test_export.py::TestExport::test_export_preserve_linear_at_aot_level, test/export/test_export.py::TestExport::test_export_preserve_linear_but_not_custom_op, test/export/test_export.py::TestExport::test_export_scan_pytree_output, test/export/test_export.py::TestExport::test_export_script_module, test/export/test_export.py::TestExport::test_export_statically_known_true, test/export/test_export.py::TestExport::test_export_then_compile_tensor_ctor, test/export/test_export.py::TestExport::test_export_with_autocast, test/export/test_export.py::TestExport::test_export_with_fake_tensor_inputs, test/export/test_export.py::TestExport::test_export_with_fake_tensor_inputs_on_cuda_devices, test/export/test_export.py::TestExport::test_export_with_inline_constraints, test/export/test_export.py::TestExport::test_export_with_inline_constraints_complex, test/export/test_export.py::TestExport::test_export_with_set_grad_enabled, test/export/test_export.py::TestExport::test_export_with_wrong_inputs, test/export/test_export.py::TestExport::test_external_call_non_strict_real_tensor, test/export/test_export.py::TestExport::test_fake_inputs, test/export/test_export.py::TestExport::test_fake_weights, test/export/test_export.py::TestExport::test_filter_traceback_frames, test/export/test_export.py::TestExport::test_float_conversion, test/export/test_export.py::TestExport::test_float_conversion_from_int, test/export/test_export.py::TestExport::test_fqn, test/export/test_export.py::TestExport::test_from_node_metadata_export, test/export/test_export.py::TestExport::test_full_on_scalar_tensor, test/export/test_export.py::TestExport::test_hints_wrapper, test/export/test_export.py::TestExport::test_hoo_inline_users_issue, test/export/test_export.py::TestExport::test_if_functional, test/export/test_export.py::TestExport::test_if_post_autograd_op_preserved, test/export/test_export.py::TestExport::test_inline_script_class_method, test/export/test_export.py::TestExport::test_inline_script_class_method_recursive, test/export/test_export.py::TestExport::test_inline_script_function, test/export/test_export.py::TestExport::test_inline_script_method, test/export/test_export.py::TestExport::test_int_shape_specialization, test/export/test_export.py::TestExport::test_intermediate_shape_comp, test/export/test_export.py::TestExport::test_is_exporting, test/export/test_export.py::TestExport::test_is_non_negative_check_function, test/export/test_export.py::TestExport::test_is_nonzero, test/export/test_export.py::TestExport::test_isnonzero, test/export/test_export.py::TestExport::test_issue_113041, test/export/test_export.py::TestExport::test_issue_157289, test/export/test_export.py::TestExport::test_istft_op, test/export/test_export.py::TestExport::test_keep_composite_ops_invalid, test/export/test_export.py::TestExport::test_keep_composite_ops_linear_convd, test/export/test_export.py::TestExport::test_keep_composite_ops_linear_convd_for_training_ir, test/export/test_export.py::TestExport::test_kwarg_dynamic_shapes_diff_order, test/export/test_export.py::TestExport::test_kwargs_reorder, test/export/test_export.py::TestExport::test_layer_norm_unbacked_normalized_shape, test/export/test_export.py::TestExport::test_layer_sharing, test/export/test_export.py::TestExport::test_lazy_module_kwargs, test/export/test_export.py::TestExport::test_lifted_constants, test/export/test_export.py::TestExport::test_linear_conv, test/export/test_export.py::TestExport::test_malformed_fqn_from_source_name, test/export/test_export.py::TestExport::test_map, test/export/test_export.py::TestExport::test_map_buffers, test/export/test_export.py::TestExport::test_mask_nonzero_static, test/export/test_export.py::TestExport::test_masked_select_dynamic, test/export/test_export.py::TestExport::test_math_pow, test/export/test_export.py::TestExport::test_mismatched_dynamic_shapes, test/export/test_export.py::TestExport::test_mixed_input, test/export/test_export.py::TestExport::test_module, test/export/test_export.py::TestExport::test_module_dict_key, test/export/test_export.py::TestExport::test_module_input, test/export/test_export.py::TestExport::test_module_input_subclasses_parameterization_nested, test/export/test_export.py::TestExport::test_module_list_slice, test/export/test_export.py::TestExport::test_module_with_dict_container_inp_out, test/export/test_export.py::TestExport::test_modules_access_for_deleted_submodule, test/export/test_export.py::TestExport::test_more_multidimensional_slicing, test/export/test_export.py::TestExport::test_multidimensional_slicing, test/export/test_export.py::TestExport::test_multinomial_dynamic, test/export/test_export.py::TestExport::test_multiple_definitions_same_name_dim, test/export/test_export.py::TestExport::test_nested_dynamic_shapes_spec, test/export/test_export.py::TestExport::test_nested_module, test/export/test_export.py::TestExport::test_nested_module_with_constant_buffer, test/export/test_export.py::TestExport::test_nested_module_with_init_buffer, test/export/test_export.py::TestExport::test_nested_module_with_parameter, test/export/test_export.py::TestExport::test_nn_module_stack, test/export/test_export.py::TestExport::test_nn_module_stack_shared_submodule, test/export/test_export.py::TestExport::test_no_check_is_size_error, test/export/test_export.py::TestExport::test_no_suggested_fixes_for_data_dependent_errors, test/export/test_export.py::TestExport::test_no_tensor_computation, test/export/test_export.py::TestExport::test_no_tensor_computation_2, test/export/test_export.py::TestExport::test_no_tensor_computation_3, test/export/test_export.py::TestExport::test_no_tensor_computation_4, test/export/test_export.py::TestExport::test_non_arg_name_dynamic_shapes_api, test/export/test_export.py::TestExport::test_non_arg_name_dynamic_shapes_api_with_container_type, test/export/test_export.py::TestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg, test/export/test_export.py::TestExport::test_non_persistent_buffer, test/export/test_export.py::TestExport::test_non_strict_dynamic_shapes, test/export/test_export.py::TestExport::test_non_strict_dynamic_shapes_suggested_fixes, test/export/test_export.py::TestExport::test_none_buffers, test/export/test_export.py::TestExport::test_nonstrict_retrace_preserves_metadata, test/export/test_export.py::TestExport::test_nonzero_2, test/export/test_export.py::TestExport::test_nonzero_dynamic, test/export/test_export.py::TestExport::test_not_registered_parameter, test/export/test_export.py::TestExport::test_operator_aten_tensor_mode_variant, test/export/test_export.py::TestExport::test_output_node_name, test/export/test_export.py::TestExport::test_pad_sequence, test/export/test_export.py::TestExport::test_param_util, test/export/test_export.py::TestExport::test_partial_patched_forward, test/export/test_export.py::TestExport::test_placeholder_naming_collisions, test/export/test_export.py::TestExport::test_placeholder_naming_collisions_hoo_subgraphs, test/export/test_export.py::TestExport::test_placeholder_naming_order, test/export/test_export.py::TestExport::test_placeholder_naming_order_variadic, test/export/test_export.py::TestExport::test_placeholder_update_preserving, test/export/test_export.py::TestExport::test_predispatch_cond, test/export/test_export.py::TestExport::test_predispatch_grad_wrappers, test/export/test_export.py::TestExport::test_preserve_module_call_signature_unflatten_specialization, test/export/test_export.py::TestExport::test_preserve_requires_grad_placeholders, test/export/test_export.py::TestExport::test_preserve_shape_dynamism_for_unused_inputs, test/export/test_export.py::TestExport::test_profiling_code, test/export/test_export.py::TestExport::test_python_asserts_with_sym_int, test/export/test_export.py::TestExport::test_pytree_register_data_class, test/export/test_export.py::TestExport::test_pytree_register_nested_data_class, test/export/test_export.py::TestExport::test_raise_user_error_when_guard_on_data_dependent_operation, test/export/test_export.py::TestExport::test_range_constraints_with_replacement, test/export/test_export.py::TestExport::test_real_tensor_alias_dtype_mismatch, test/export/test_export.py::TestExport::test_real_tensor_bool_cast, test/export/test_export.py::TestExport::test_real_tensor_errors_on_aliasing_custom_op, test/export/test_export.py::TestExport::test_real_tensor_for_max_op, test/export/test_export.py::TestExport::test_real_tensor_size_mismatch, test/export/test_export.py::TestExport::test_redundant_assert_max_upper_bound, test/export/test_export.py::TestExport::test_redundant_asserts, test/export/test_export.py::TestExport::test_refine_dynamic_shapes_from_suggested_fixes, test/export/test_export.py::TestExport::test_register_constant, test/export/test_export.py::TestExport::test_repeat_interleave, test/export/test_export.py::TestExport::test_replace_unbacked_with_very_large_upperbound, test/export/test_export.py::TestExport::test_replaced_unbacked_bindings, test/export/test_export.py::TestExport::test_reshape_view_helper, test/export/test_export.py::TestExport::test_retracable_ep, test/export/test_export.py::TestExport::test_retrace_pre_autograd, test/export/test_export.py::TestExport::test_run_decomposition_supports_user_input_mutation, test/export/test_export.py::TestExport::test_run_decompositions_keep_metadata, test/export/test_export.py::TestExport::test_run_decompositions_keep_tensor_constant_metadata, test/export/test_export.py::TestExport::test_runtime_assert_for_prim, test/export/test_export.py::TestExport::test_runtime_assert_for_prm_str, test/export/test_export.py::TestExport::test_runtime_assert_with_size, test/export/test_export.py::TestExport::test_sdpa_gqa, test/export/test_export.py::TestExport::test_sequential_slicing, test/export/test_export.py::TestExport::test_set_example_inputs, test/export/test_export.py::TestExport::test_set_grad_as_side_effect, test/export/test_export.py::TestExport::test_set_grad_empty, test/export/test_export.py::TestExport::test_set_grad_unflatten, test/export/test_export.py::TestExport::test_setgrad_lifted_tensor, test/export/test_export.py::TestExport::test_shared_submodule_nn_module_stack, test/export/test_export.py::TestExport::test_simple_export_for_training, test/export/test_export.py::TestExport::test_simple_unbacked_view, test/export/test_export.py::TestExport::test_size_input, test/export/test_export.py::TestExport::test_slice_nn_module_stack, test/export/test_export.py::TestExport::test_solver_unsupported_sympy_function, test/export/test_export.py::TestExport::test_specialize_derived_dim_roots, test/export/test_export.py::TestExport::test_split_const_gm_with_lifted_constants, test/export/test_export.py::TestExport::test_stack_trace, test/export/test_export.py::TestExport::test_stack_trace_make_fx, test/export/test_export.py::TestExport::test_state_primitives, test/export/test_export.py::TestExport::test_state_shape_attribute_assignment, test/export/test_export.py::TestExport::test_state_tensors, test/export/test_export.py::TestExport::test_static_dim_constraints, test/export/test_export.py::TestExport::test_subclass_nested_attr_access, test/export/test_export.py::TestExport::test_subclass_nested_attr_access_complicated_metadata, test/export/test_export.py::TestExport::test_subclass_nested_attr_access_const_metadata, test/export/test_export.py::TestExport::test_subclass_nested_attr_access_const_metadata_not_top_level, test/export/test_export.py::TestExport::test_subclass_nested_attr_access_submodule, test/export/test_export.py::TestExport::test_subclasses_parameterization, test/export/test_export.py::TestExport::test_subclasses_parameterization_nested, test/export/test_export.py::TestExport::test_suggest_torch_checks_with_non_negative_check, test/export/test_export.py::TestExport::test_suggest_torch_checks_with_regular_check, test/export/test_export.py::TestExport::test_suggested_fixes_for_data_dependent_errors_basic, test/export/test_export.py::TestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers, test/export/test_export.py::TestExport::test_suggested_fixes_new_roots, test/export/test_export.py::TestExport::test_sym_float_operators, test/export/test_export.py::TestExport::test_sym_or_sym_and, test/export/test_export.py::TestExport::test_sym_sqrt, test/export/test_export.py::TestExport::test_symbool_item, test/export/test_export.py::TestExport::test_symfloat_item, test/export/test_export.py::TestExport::test_symint_input_additional_inputs, test/export/test_export.py::TestExport::test_symint_input_basic, test/export/test_export.py::TestExport::test_symint_input_ranges, test/export/test_export.py::TestExport::test_symint_input_shapes_collection, test/export/test_export.py::TestExport::test_symint_input_specialization, test/export/test_export.py::TestExport::test_symint_item, test/export/test_export.py::TestExport::test_symint_output, test/export/test_export.py::TestExport::test_symint_tensor_return, test/export/test_export.py::TestExport::test_tensor_attribute_zero_args, test/export/test_export.py::TestExport::test_tensor_constant_aten_to, test/export/test_export.py::TestExport::test_tensor_constant_with_wrapped_method, test/export/test_export.py::TestExport::test_to_module_with_mutated_buffer, test/export/test_export.py::TestExport::test_to_module_with_mutated_buffer_multiple, test/export/test_export.py::TestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later, test/export/test_export.py::TestExport::test_tolist, test/export/test_export.py::TestExport::test_torch_check_eq_commutativity, test/export/test_export.py::TestExport::test_torch_fn, test/export/test_export.py::TestExport::test_trace_under_fake, test/export/test_export.py::TestExport::test_train_eval_on_exported_preautograd_module, test/export/test_export.py::TestExport::test_unbacked_3d_matmul, test/export/test_export.py::TestExport::test_unbacked_bincount, test/export/test_export.py::TestExport::test_unbacked_bindings_for_divisible_u_symint, test/export/test_export.py::TestExport::test_unbacked_deferred_runtime_retrace, test/export/test_export.py::TestExport::test_unbacked_expand, test/export/test_export.py::TestExport::test_unbacked_infer_size, test/export/test_export.py::TestExport::test_unbacked_kth_value, test/export/test_export.py::TestExport::test_unbacked_linear_layer_norm_input, test/export/test_export.py::TestExport::test_unbacked_noncontig_lin, test/export/test_export.py::TestExport::test_unbacked_pad, test/export/test_export.py::TestExport::test_unbacked_scalar_constructor, test/export/test_export.py::TestExport::test_unbacked_slice, test/export/test_export.py::TestExport::test_unbacked_to_cond, test/export/test_export.py::TestExport::test_unbacked_to_cond_passthrough, test/export/test_export.py::TestExport::test_unbacked_unsqueeze, test/export/test_export.py::TestExport::test_unflatten_asserts, test/export/test_export.py::TestExport::test_unflatten_buffer_update_child2parent_swap, test/export/test_export.py::TestExport::test_unflatten_closure, test/export/test_export.py::TestExport::test_unflatten_isinstance, test/export/test_export.py::TestExport::test_unflatten_multiple_graphs_dispatch, test/export/test_export.py::TestExport::test_unflatten_multiple_graphs_preserve_signature_no_error, test/export/test_export.py::TestExport::test_unflatten_multiple_graphs_shared_submodule, test/export/test_export.py::TestExport::test_unflatten_multiple_graphs_state, test/export/test_export.py::TestExport::test_unflatten_no_unroll, test/export/test_export.py::TestExport::test_unflatten_placeholder_update_child2parent_swap, test/export/test_export.py::TestExport::test_unflatten_placeholder_update_grandchild2cousin_swap, test/export/test_export.py::TestExport::test_unflatten_random_dag_5, test/export/test_export.py::TestExport::test_unflatten_random_dag_6, test/export/test_export.py::TestExport::test_unflatten_random_dag_buf_8, test/export/test_export.py::TestExport::test_unflatten_random_dag_const_preserving_3, test/export/test_export.py::TestExport::test_unflatten_random_dag_const_preserving_3_1, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_4, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_6, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_9, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_10, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_4, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_5, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_7, test/export/test_export.py::TestExport::test_unflatten_random_dag_preserving_4, test/export/test_export.py::TestExport::test_unused_aliases, test/export/test_export.py::TestExport::test_unused_constant, test/export/test_export.py::TestExport::test_use_embedding_twice, test/export/test_export.py::TestExport::test_user_input_and_buffer_mutation, test/export/test_export.py::TestExport::test_vmap, test/export/test_export.py::TestExport::test_while_loop_assert_separation, test/export/test_export.py::TestExport::test_while_loop_index_assertions, test/export/test_export.py::TestExport::test_while_loop_simple, test/export/test_export.py::TestExport::test_while_loop_tensor_constant_idx, test/export/test_export.py::TestExport::test_wrapper_module, test/export/test_export.py::TestOneOffModelExportResult::test_assert_tensor_metadata_device_index, test/export/test_export.py::TestOneOffModelExportResult::test_constant_fqn, test/export/test_export.py::TestOneOffModelExportResult::test_constant_name, test/export/test_export.py::TestOneOffModelExportResult::test_duplicated_getitem, test/export/test_export.py::TestOneOffModelExportResult::test_hf_logging_logger, test/export/test_export.py::TestOneOffModelExportResult::test_input_output_no_stacktrace, test/export/test_export.py::TestOneOffModelExportResult::test_int_list_output, test/export/test_export.py::TestOneOffModelExportResult::test_logging_logger, test/export/test_export.py::TestOneOffModelExportResult::test_nested_retrace, test/export/test_export.py::TestOneOffModelExportResult::test_none_input_output, test/export/test_export.py::TestOneOffModelExportResult::test_primitive_constant_output, test/export/test_export.py::TestOneOffModelExportResult::test_print, test/export/test_export.py::TestOneOffModelExportResult::test_print_graph_signature, test/export/test_export.py::TestOneOffModelExportResult::test_scaled_dot_product_attention_cpu, test/export/test_export.py::TestOneOffModelExportResult::test_scaled_dot_product_attention_cuda, test/export/test_export.py::TestOneOffModelExportResult::test_strict_export_with_shared_parameters, test/export/test_export.py::TestOneOffModelExportResult::test_torchrec_jagged_tensor, test/export/test_export.py::TestOneOffModelExportResult::test_unbacked_sdpa, test/export/test_export.py::TestOneOffModelExportResult::test_warning, test/export/test_export.py::TestExportCustomClass::test_export_script_module, test/export/test_export.py::TestExportCustomClass::test_export_unbacked_lt, test/export/test_export.py::TestExportCustomClass::test_int_lift_constant, test/export/test_export.py::TestExportCustomClass::test_lift_custom_obj, test/export/test_export.py::TestExportCustomClass::test_preserve_cia_op, test/export/test_export.py::TestExportCustomClass::test_preserve_non_cia_op, test/export/test_export.py::TestExportCustomClass::test_unbacked_contiguous, test/export/test_export.py::TestExportCustomClass::test_unbacked_select_index 2025-08-26T20:52:22.9254289Z 2025-08-26T20:52:24.5108783Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:24.5111766Z import pkg_resources 2025-08-26T20:52:24.6337247Z Running test_pruning_op 1/1 ... [2025-08-26 20:52:24.633310] 2025-08-26T20:52:24.6338043Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:24.6340073Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_pruning_op.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:24.633668] 2025-08-26T20:52:25.5373698Z 2025-08-26T20:52:25.5375006Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_2404ad952a9e7161_.log 2025-08-26T20:52:25.5396299Z Running 34 items in this shard: test/nn/test_pruning.py::TestPruningNN::test_compute_nparams_to_prune, test/nn/test_pruning.py::TestPruningNN::test_custom_from_mask_pruning, test/nn/test_pruning.py::TestPruningNN::test_global_pruning, test/nn/test_pruning.py::TestPruningNN::test_global_pruning_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_identity_pruning, test/nn/test_pruning.py::TestPruningNN::test_l1_unstructured_pruning, test/nn/test_pruning.py::TestPruningNN::test_l1_unstructured_pruning_with_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_ln_structured_pruning, test/nn/test_pruning.py::TestPruningNN::test_ln_structured_pruning_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_multiple_pruning_calls, test/nn/test_pruning.py::TestPruningNN::test_prune, test/nn/test_pruning.py::TestPruningNN::test_prune_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_prune_importance_scores_mimic_default, test/nn/test_pruning.py::TestPruningNN::test_pruning_container, test/nn/test_pruning.py::TestPruningNN::test_pruning_container_compute_mask, test/nn/test_pruning.py::TestPruningNN::test_pruning_id_consistency, test/nn/test_pruning.py::TestPruningNN::test_pruning_rollback, test/nn/test_pruning.py::TestPruningNN::test_pruning_serialization_model, test/nn/test_pruning.py::TestPruningNN::test_pruning_serialization_state_dict, test/nn/test_pruning.py::TestPruningNN::test_random_pruning, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_0perc, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_forward, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_new_weight, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_orig, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_pickle, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_sizes, test/nn/test_pruning.py::TestPruningNN::test_random_structured_pruning_amount, test/nn/test_pruning.py::TestPruningNN::test_remove_pruning, test/nn/test_pruning.py::TestPruningNN::test_remove_pruning_exception, test/nn/test_pruning.py::TestPruningNN::test_remove_pruning_forward, test/nn/test_pruning.py::TestPruningNN::test_rnn_pruning, test/nn/test_pruning.py::TestPruningNN::test_unstructured_pruning_same_magnitude, test/nn/test_pruning.py::TestPruningNN::test_validate_pruning_amount, test/nn/test_pruning.py::TestPruningNN::test_validate_pruning_amount_init 2025-08-26T20:52:25.5416417Z 2025-08-26T20:52:26.0542058Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:26.0545566Z import pkg_resources 2025-08-26T20:52:26.1783511Z Running export/test_hop 1/1 ... [2025-08-26 20:52:26.177944] 2025-08-26T20:52:26.1784329Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:26.1786641Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:26.178380] 2025-08-26T20:52:28.4041343Z 2025-08-26T20:52:28.4042714Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_9a90690aa2ea2f6d_.log 2025-08-26T20:52:28.4045301Z Running 2 items in this shard: test/test_pruning_op.py::PruningOpTest::test_rowwise_prune_op_32bit_indices, test/test_pruning_op.py::PruningOpTest::test_rowwise_prune_op_64bit_indices 2025-08-26T20:52:28.4046863Z 2025-08-26T20:52:28.7649388Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:28.7652598Z import pkg_resources 2025-08-26T20:52:28.9225289Z Running export/test_converter 1/1 ... [2025-08-26 20:52:28.922177] 2025-08-26T20:52:28.9226039Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:28.9228879Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_converter.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:28.922566] 2025-08-26T20:52:31.6836899Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:31.6838476Z import pkg_resources 2025-08-26T20:52:31.8378649Z Running dynamo/test_torchrec 1/1 ... [2025-08-26 20:52:31.837403] 2025-08-26T20:52:31.8379423Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:31.8381915Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:31.837845] 2025-08-26T20:52:35.2609790Z 2025-08-26T20:52:35.2610831Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_40375ce3aab8c30a_.log 2025-08-26T20:52:35.2611521Z 2025-08-26T20:52:38.4092640Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:38.4095632Z import pkg_resources 2025-08-26T20:52:38.5328417Z Running export/test_pass_infra 1/1 ... [2025-08-26 20:52:38.532443] 2025-08-26T20:52:38.5329444Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:38.5331618Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_pass_infra.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:38.532830] 2025-08-26T20:52:45.2144684Z 2025-08-26T20:52:45.2145977Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_914274ce4d9b8c78_.log 2025-08-26T20:52:45.2171402Z Running 48 items in this shard: test/export/test_converter.py::TestConverter::test_aten___getitem___dict, test/export/test_converter.py::TestConverter::test_aten___getitem___list, test/export/test_converter.py::TestConverter::test_aten___is__, test/export/test_converter.py::TestConverter::test_aten___isnot__, test/export/test_converter.py::TestConverter::test_aten___not__, test/export/test_converter.py::TestConverter::test_aten_add_t, test/export/test_converter.py::TestConverter::test_aten_append_t, test/export/test_converter.py::TestConverter::test_aten_dim, test/export/test_converter.py::TestConverter::test_aten_floordiv, test/export/test_converter.py::TestConverter::test_aten_len, test/export/test_converter.py::TestConverter::test_aten_tensor_dtype_int, test/export/test_converter.py::TestConverter::test_aten_tensor_dynamic, test/export/test_converter.py::TestConverter::test_aten_tensor_prim_dtype, test/export/test_converter.py::TestConverter::test_aten_to_dtype_with_mutating_storage, test/export/test_converter.py::TestConverter::test_context_manager, test/export/test_converter.py::TestConverter::test_convert_func_without_param, test/export/test_converter.py::TestConverter::test_convert_if_basic, test/export/test_converter.py::TestConverter::test_convert_if_duplicate_attr_names, test/export/test_converter.py::TestConverter::test_convert_if_multiple_out, test/export/test_converter.py::TestConverter::test_convert_if_tuple_out, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_buffer, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_if_and_buffer, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_if_and_param, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_param, test/export/test_converter.py::TestConverter::test_convert_retrace_nested_scripted_modules, test/export/test_converter.py::TestConverter::test_convert_script_object, test/export/test_converter.py::TestConverter::test_get_tensor_constants, test/export/test_converter.py::TestConverter::test_hidden_input_name, test/export/test_converter.py::TestConverter::test_implicit_constant_to_tensor_handling, test/export/test_converter.py::TestConverter::test_prim_SetAttr, test/export/test_converter.py::TestConverter::test_prim_device, test/export/test_converter.py::TestConverter::test_prim_device_cuda, test/export/test_converter.py::TestConverter::test_prim_dtype, test/export/test_converter.py::TestConverter::test_prim_max, test/export/test_converter.py::TestConverter::test_prim_min, test/export/test_converter.py::TestConverter::test_prim_tolist, test/export/test_converter.py::TestConverter::test_profiler__record_function, test/export/test_converter.py::TestConverter::test_raise_exception, test/export/test_converter.py::TestConverter::test_ts2ep_convert_quantized_model, test/export/test_converter.py::TestConverter::test_ts2ep_convert_quantized_model_with_opcontext, test/export/test_converter.py::TestConverter::test_ts2ep_convert_quantized_model_with_opcontext_and_constant, test/export/test_converter.py::TestConverter::test_ts2ep_converter_basic, test/export/test_converter.py::TestConverter::test_ts2ep_converter_container_output, test/export/test_converter.py::TestConverter::test_ts2ep_converter_contains, test/export/test_converter.py::TestConverter::test_ts2ep_converter_custom_op, test/export/test_converter.py::TestConverter::test_ts2ep_converter_unpack, test/export/test_converter.py::TestConverter::test_ts2ep_multi_outputs_on_call_ops, test/export/test_converter.py::TestConverter::test_ts2ep_with_loop 2025-08-26T20:52:45.2195623Z 2025-08-26T20:52:45.5727718Z 2025-08-26T20:52:45.5729281Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_8221829fab656d2a_.log 2025-08-26T20:52:45.5744744Z Running 36 items in this shard: test/export/test_hop.py::TestHOPCPU::test_aot_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_while_loop_simple_cpu_float32 2025-08-26T20:52:45.5759093Z 2025-08-26T20:52:47.9186648Z 2025-08-26T20:52:47.9188208Z export/test_pass_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_pass_infra_1.1_7be3ec3954d2eb11_.log 2025-08-26T20:52:47.9192506Z Running 5 items in this shard: test/export/test_pass_infra.py::TestPassInfra::test_cond, test/export/test_pass_infra.py::TestPassInfra::test_export_pass_base, test/export/test_pass_infra.py::TestPassInfra::test_graph_signature_updated_after_transformation, test/export/test_pass_infra.py::TestPassInfra::test_node_name_stability, test/export/test_pass_infra.py::TestPassInfra::test_replace_hook_basic 2025-08-26T20:52:47.9196182Z 2025-08-26T20:52:48.4644499Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:48.4646210Z import pkg_resources 2025-08-26T20:52:48.5899257Z Running dynamo/test_guard_manager 1/1 ... [2025-08-26 20:52:48.589546] 2025-08-26T20:52:48.5899832Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:48.5902665Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:48.589965] 2025-08-26T20:52:48.8803801Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:48.8805520Z import pkg_resources 2025-08-26T20:52:49.1006747Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-08-26 20:52:49.100304] 2025-08-26T20:52:49.1007307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:49.1010598Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:49.100755] 2025-08-26T20:52:51.1272752Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:51.1274537Z import pkg_resources 2025-08-26T20:52:51.2512318Z Running dynamo/test_exc 1/1 ... [2025-08-26 20:52:51.250853] 2025-08-26T20:52:51.2512986Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:51.2515537Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_exc.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:51.251237] 2025-08-26T20:52:51.8006250Z 2025-08-26T20:52:51.8007821Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_3f0723a4c693d568_.log 2025-08-26T20:52:51.8008975Z 2025-08-26T20:52:54.5247903Z 2025-08-26T20:52:54.5249223Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_9cf562820e9205e2_.log 2025-08-26T20:52:54.5250409Z 2025-08-26T20:52:55.0577766Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:55.0580411Z import pkg_resources 2025-08-26T20:52:55.1839779Z Running export/test_lift_unlift 1/1 ... [2025-08-26 20:52:55.183578] 2025-08-26T20:52:55.1840987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:55.1842992Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_lift_unlift.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:55.183966] 2025-08-26T20:52:56.1466563Z 2025-08-26T20:52:56.1468306Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_d23d92068355d56e_.log 2025-08-26T20:52:56.1469996Z 2025-08-26T20:52:57.7732381Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:57.7735340Z import pkg_resources 2025-08-26T20:52:57.8980680Z Running export/test_serialize 1/1 ... [2025-08-26 20:52:57.897648] 2025-08-26T20:52:57.8981426Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:57.8983833Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_serialize.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:57.898015] 2025-08-26T20:52:58.9541358Z 2025-08-26T20:52:58.9542723Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_74161f1ed66dafa0_.log 2025-08-26T20:52:58.9546389Z Running 5 items in this shard: test/export/test_lift_unlift.py::TestLift::test_duplicate_constant_access, test/export/test_lift_unlift.py::TestLift::test_lift_basic, test/export/test_lift_unlift.py::TestLift::test_lift_nested, test/export/test_lift_unlift.py::TestLift::test_unlift_nonpersistent_buffer, test/export/test_lift_unlift.py::ConstantAttrMapTest::test_dict_api 2025-08-26T20:52:58.9549839Z 2025-08-26T20:52:59.3737200Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:52:59.3739833Z import pkg_resources 2025-08-26T20:52:59.4997536Z Running dynamo/test_hooks 1/1 ... [2025-08-26 20:52:59.499356] 2025-08-26T20:52:59.4998294Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:59.5001500Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:59.499797] 2025-08-26T20:53:02.2246055Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:53:02.2248462Z import pkg_resources 2025-08-26T20:53:02.3496459Z Running dynamo/test_reorder_logs 1/1 ... [2025-08-26 20:53:02.349253] 2025-08-26T20:53:02.3497314Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:53:02.3499843Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_reorder_logs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:53:02.349663] 2025-08-26T20:53:03.0046085Z 2025-08-26T20:53:03.0047385Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_f12ea3db994323a2_.log 2025-08-26T20:53:03.0048894Z 2025-08-26T20:53:05.7509135Z 2025-08-26T20:53:05.7510571Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_2b0c42f5fbc0d12a_.log 2025-08-26T20:53:05.7511982Z 2025-08-26T20:53:06.1738872Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:53:06.1741751Z import pkg_resources 2025-08-26T20:53:06.2997404Z Running export/test_verifier 1/1 ... [2025-08-26 20:53:06.299331] 2025-08-26T20:53:06.2998204Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:53:06.3000334Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_verifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:53:06.299698] 2025-08-26T20:53:08.9685179Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:53:08.9688119Z import pkg_resources 2025-08-26T20:53:09.0915412Z Running export/test_sparse 1/1 ... [2025-08-26 20:53:09.091148] 2025-08-26T20:53:09.0916162Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:53:09.0918521Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_sparse.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:53:09.091553] 2025-08-26T20:53:12.7118208Z 2025-08-26T20:53:12.7119599Z export/test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.1_0c6c7c323eb3aa0a_.log 2025-08-26T20:53:12.7242876Z Running 203 items in this shard: test/export/test_sparse.py::TestSparseProp::test_activation_coo, test/export/test_sparse.py::TestSparseProp::test_activation_csr, test/export/test_sparse.py::TestSparseProp::test_add, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCSR 2025-08-26T20:53:12.7403727Z 2025-08-26T20:53:15.8771712Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:53:15.8774610Z import pkg_resources 2025-08-26T20:53:15.9300182Z 2025-08-26T20:53:15.9301522Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_fd5d4a054f782358_.log 2025-08-26T20:53:15.9305873Z Running 10 items in this shard: test/export/test_verifier.py::TestVerifier::test_ep_verifier_basic, test/export/test_verifier.py::TestVerifier::test_ep_verifier_buffer_mutate, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_buffer, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_output, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_param, test/export/test_verifier.py::TestVerifier::test_verifier_basic, test/export/test_verifier.py::TestVerifier::test_verifier_call_module, test/export/test_verifier.py::TestVerifier::test_verifier_higher_order, test/export/test_verifier.py::TestVerifier::test_verifier_nested_invalid_module, test/export/test_verifier.py::TestVerifier::test_verifier_no_functional 2025-08-26T20:53:15.9309681Z 2025-08-26T20:53:16.0006766Z Running dynamo/test_python_autograd 1/1 ... [2025-08-26 20:53:16.000152] 2025-08-26T20:53:16.0007634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:53:16.0009771Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_python_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:53:16.000549] 2025-08-26T20:53:19.0958445Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:53:19.0960025Z import pkg_resources 2025-08-26T20:53:19.2199695Z Running test_ao_sparsity 1/1 ... [2025-08-26 20:53:19.219562] 2025-08-26T20:53:19.2200149Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:53:19.2203032Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ao_sparsity.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:53:19.219983] 2025-08-26T20:53:19.3930457Z 2025-08-26T20:53:19.3931727Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_55c085cadd4a873b_.log 2025-08-26T20:53:19.3932540Z 2025-08-26T20:53:22.6432645Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:53:22.6435751Z import pkg_resources 2025-08-26T20:53:22.8260904Z Running test_package 1/1 ... [2025-08-26 20:53:22.825025] 2025-08-26T20:53:22.8261633Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:53:22.8263753Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:53:22.825490] 2025-08-26T20:53:29.9020535Z 2025-08-26T20:53:29.9021719Z test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_package_1.1_539f3c63a9c897c4_.log 2025-08-26T20:53:29.9090480Z Running 137 items in this shard: test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestDependencyAPI::test_allow_empty_with_error, test/test_package.py::TestDependencyAPI::test_broken_dependency, test/test_package.py::TestDependencyAPI::test_deny, test/test_package.py::TestDependencyAPI::test_deny_glob, test/test_package.py::TestDependencyAPI::test_extern, test/test_package.py::TestDependencyAPI::test_extern_glob, test/test_package.py::TestDependencyAPI::test_extern_glob_allow_empty, test/test_package.py::TestDependencyAPI::test_externing_c_extension, test/test_package.py::TestDependencyAPI::test_implicit_intern, test/test_package.py::TestDependencyAPI::test_intern_error, test/test_package.py::TestDependencyAPI::test_invalid_import, test/test_package.py::TestDependencyAPI::test_mock, test/test_package.py::TestDependencyAPI::test_mock_glob, test/test_package.py::TestDependencyAPI::test_mock_glob_allow_empty, test/test_package.py::TestDependencyAPI::test_pickle_mocked, test/test_package.py::TestDependencyAPI::test_pickle_mocked_all, test/test_package.py::TestDependencyAPI::test_repackage_mocked_module, test/test_package.py::TestDependencyHooks::test_extern_and_mock_hook, test/test_package.py::TestDependencyHooks::test_multiple_extern_hooks, test/test_package.py::TestDependencyHooks::test_multiple_mock_hooks, test/test_package.py::TestDependencyHooks::test_remove_hooks, test/test_package.py::TestDependencyHooks::test_single_hook, test/test_package.py::TestDiGraph::test_all_paths, test/test_package.py::TestDiGraph::test_contains, test/test_package.py::TestDiGraph::test_contains_non_hashable, test/test_package.py::TestDiGraph::test_edges, test/test_package.py::TestDiGraph::test_forward_closure, test/test_package.py::TestDiGraph::test_iter, test/test_package.py::TestDiGraph::test_node_attr_update, test/test_package.py::TestDiGraph::test_node_attrs, test/test_package.py::TestDiGraph::test_predecessor_not_in_graph, test/test_package.py::TestDiGraph::test_predecessors, test/test_package.py::TestDiGraph::test_successor_not_in_graph, test/test_package.py::TestDiGraph::test_successors, test/test_package.py::DirectoryReaderTest::test_importer_access, test/test_package.py::DirectoryReaderTest::test_loading_has_record, test/test_package.py::DirectoryReaderTest::test_loading_module, test/test_package.py::DirectoryReaderTest::test_loading_pickle, test/test_package.py::DirectoryReaderTest::test_package_resource_access, test/test_package.py::DirectoryReaderTest::test_resource_access_by_path, test/test_package.py::DirectoryReaderTest::test_resource_reader, test/test_package.py::DirectoryReaderTest::test_scriptobject_failure_message, test/test_package.py::TestGlobGroup::test_exclude, test/test_package.py::TestGlobGroup::test_exclude_from_all, test/test_package.py::TestGlobGroup::test_invalid_raw, test/test_package.py::TestGlobGroup::test_list_include_exclude, test/test_package.py::TestGlobGroup::test_one_star, test/test_package.py::TestGlobGroup::test_one_star_middle, test/test_package.py::TestGlobGroup::test_one_star_multiple_in_component, test/test_package.py::TestGlobGroup::test_one_star_partial, test/test_package.py::TestGlobGroup::test_one_star_partial_extension, test/test_package.py::TestGlobGroup::test_raw_two_star, test/test_package.py::TestGlobGroup::test_two_star, test/test_package.py::TestGlobGroup::test_two_star_end, test/test_package.py::TestGlobGroup::test_two_star_middle, test/test_package.py::TestGlobGroup::test_two_star_multiple, test/test_package.py::TestImporter::test_ordered_importer_basic, test/test_package.py::TestImporter::test_ordered_importer_whichmodule, test/test_package.py::TestImporter::test_package_importer_whichmodule_no_dunder_module, test/test_package.py::TestImporter::test_single_ordered_importer, test/test_package.py::TestImporter::test_sys_importer, test/test_package.py::TestImporter::test_sys_importer_roundtrip, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_fx_module, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_nn_module, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_torchscript_module, test/test_package.py::TestMangling::test_demangle_base, test/test_package.py::TestMangling::test_demangler_multiple_manglers, test/test_package.py::TestMangling::test_is_mangled, test/test_package.py::TestMangling::test_mangle_empty_errors, test/test_package.py::TestMangling::test_mangle_prefix, test/test_package.py::TestMangling::test_mangler_is_consistent, test/test_package.py::TestMangling::test_package_mangler, test/test_package.py::TestMangling::test_roundtrip_mangling, test/test_package.py::TestMangling::test_unique_manglers, test/test_package.py::TestMangling::test_unique_module_names, test/test_package.py::TestMisc::test_dunder_package_present, test/test_package.py::TestMisc::test_dunder_package_works_from_package, test/test_package.py::TestMisc::test_exporter_content_lists, test/test_package.py::TestMisc::test_file_structure, test/test_package.py::TestMisc::test_file_structure_has_file, test/test_package.py::TestMisc::test_inspect_class, test/test_package.py::TestMisc::test_is_from_package, test/test_package.py::TestMisc::test_load_python_version_from_package, test/test_package.py::TestMisc::test_loaders_that_remap_files_work_ok, test/test_package.py::TestMisc::test_python_version, test/test_package.py::TestMisc::test_std_lib_sys_hackery_checks, test/test_package.py::ModelTest::test_model_save, test/test_package.py::ModelTest::test_resnet, test/test_package.py::ModelTest::test_script_resnet, test/test_package.py::TestPackageFX::test_package_fx_custom_tracer, test/test_package.py::TestPackageFX::test_package_fx_package, test/test_package.py::TestPackageFX::test_package_fx_simple, test/test_package.py::TestPackageFX::test_package_fx_with_imports, test/test_package.py::TestPackageFX::test_package_fx_wrap, test/test_package.py::TestPackageFX::test_package_gm_preserve_stack_trace, test/test_package.py::TestPackageFX::test_package_then_fx, test/test_package.py::TestPackageScript::test_different_package_interface, test/test_package.py::TestPackageScript::test_different_package_script_class, test/test_package.py::TestPackageScript::test_load_shared_scriptmodules, test/test_package.py::TestPackageScript::test_load_shared_tensors, test/test_package.py::TestPackageScript::test_load_shared_tensors_repackaged, test/test_package.py::TestPackageScript::test_mixing_packaged_and_inline_modules, test/test_package.py::TestPackageScript::test_mixing_packaged_and_inline_modules_shared_code, test/test_package.py::TestPackageScript::test_package_interface, test/test_package.py::TestPackageScript::test_package_script_class, test/test_package.py::TestPackageScript::test_package_script_class_referencing_self, test/test_package.py::TestPackageScript::test_save_eager_mods_sharing_scriptmodule, test/test_package.py::TestPackageScript::test_save_independent_scriptmodules, test/test_package.py::TestPackageScript::test_save_repeat_scriptmodules, test/test_package.py::TestPackageScript::test_save_scriptmodule, test/test_package.py::TestPackageScript::test_save_scriptmodule_file, test/test_package.py::TestPackageScript::test_save_scriptmodule_only_necessary_code, test/test_package.py::TestPackageScript::test_save_scriptmodule_with_submods, test/test_package.py::TestPackageScript::test_save_scriptmodules_in_container, test/test_package.py::TestPackageScript::test_save_scriptmodules_submod_redefinition, test/test_package.py::TestPackageScript::test_save_shared_tensors, test/test_package.py::TestPackageScript::test_saving_and_scripting_packaged_mod, test/test_package.py::TestPackageScript::test_scriptmodules_repeat_save, test/test_package.py::TestPackageScript::test_tensor_sharing_pickle, test/test_package.py::TestRepackage::test_repackage_import_indirectly_via_parent_module, test/test_package.py::TestResources::test_importer_access, test/test_package.py::TestResources::test_package_resource_access, test/test_package.py::TestResources::test_resource_access_by_path, test/test_package.py::TestResources::test_resource_reader, test/test_package.py::TestSaveLoad::test_bad_dunder_imports, test/test_package.py::TestSaveLoad::test_dunder_imports, test/test_package.py::TestSaveLoad::test_exporting_mismatched_code, test/test_package.py::TestSaveLoad::test_pickle, test/test_package.py::TestSaveLoad::test_pickle_long_name_with_protocol_4, test/test_package.py::TestSaveLoad::test_save_imported_module, test/test_package.py::TestSaveLoad::test_save_imported_module_using_package_importer, test/test_package.py::TestSaveLoad::test_save_load_fp8, test/test_package.py::TestSaveLoad::test_save_module, test/test_package.py::TestSaveLoad::test_save_module_binary, test/test_package.py::TestSaveLoad::test_saving_source, test/test_package.py::TestSaveLoad::test_saving_string 2025-08-26T20:53:29.9160696Z 2025-08-26T20:53:31.9045432Z 2025-08-26T20:53:31.9046592Z test_ao_sparsity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ao_sparsity_1.1_a5851a3d278e6494_.log 2025-08-26T20:53:31.9076362Z Running 88 items in this shard: test/test_ao_sparsity.py::TestQuantizedSparseKernels::test_sparse_qlinear, test/test_ao_sparsity.py::TestQuantizedSparseLayers::test_sparse_qlinear, test/test_ao_sparsity.py::TestQuantizedSparseLayers::test_sparse_qlinear_serdes, test/test_ao_sparsity.py::TestFakeSparsity::test_jit_trace, test/test_ao_sparsity.py::TestFakeSparsity::test_masking_logic, test/test_ao_sparsity.py::TestFakeSparsity::test_state_dict_preserved, test/test_ao_sparsity.py::TestFakeSparsity::test_weights_parametrized, test/test_ao_sparsity.py::TestCubicScheduler::test_constructor, test/test_ao_sparsity.py::TestCubicScheduler::test_step, test/test_ao_sparsity.py::TestScheduler::test_constructor, test/test_ao_sparsity.py::TestScheduler::test_lambda_scheduler, test/test_ao_sparsity.py::TestScheduler::test_order_of_steps, test/test_ao_sparsity.py::TestScheduler::test_step, test/test_ao_sparsity.py::TestBaseSparsifier::test_constructor, test/test_ao_sparsity.py::TestBaseSparsifier::test_convert, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash_with_params1, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash_with_params2, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash_with_params3, test/test_ao_sparsity.py::TestBaseSparsifier::test_prepare_config, test/test_ao_sparsity.py::TestBaseSparsifier::test_state_dict, test/test_ao_sparsity.py::TestBaseSparsifier::test_step, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_constructor, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_mask_squash, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_prepare, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_sparsity_levels, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_step, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_constructor, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_mask_squash, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_prepare, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_sparsity_levels, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_step, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_step_2_of_4, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_complex_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_constructor, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prepare_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prepare_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_activation_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_bias_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_padding_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_pool_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_linear_activation_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_linear_bias_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_linear_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_layernorm_linear_multiple_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_layernorm_linear_single_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_linear_multiple_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_linear_single_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_step_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_step_linear, test/test_ao_sparsity.py::TestFPGMPruner::test_compute_distance, test/test_ao_sparsity.py::TestFPGMPruner::test_update_mask, test/test_ao_sparsity.py::TestSaliencyPruner::test_lstm_saliency_pruner_update_mask, test/test_ao_sparsity.py::TestSaliencyPruner::test_saliency_pruner_update_mask, test/test_ao_sparsity.py::TestComposability::test_convert_without_squash_mask, test/test_ao_sparsity.py::TestComposability::test_fusion_before_s_prep, test/test_ao_sparsity.py::TestComposability::test_q_prep_before_s_prep, test/test_ao_sparsity.py::TestComposability::test_qat_prep_before_s_prep, test/test_ao_sparsity.py::TestComposability::test_s_prep_before_fusion, test/test_ao_sparsity.py::TestComposability::test_s_prep_before_q_prep, test/test_ao_sparsity.py::TestComposability::test_s_prep_before_qat_prep, test/test_ao_sparsity.py::TestFxComposability::test_q_prep_fx_before_s_prep, test/test_ao_sparsity.py::TestFxComposability::test_q_prep_fx_s_prep_ref_conv, test/test_ao_sparsity.py::TestFxComposability::test_s_prep_before_q_prep_fx, test/test_ao_sparsity.py::TestFxComposability::test_s_prep_before_qat_prep_fx, test/test_ao_sparsity.py::TestFxComposability::test_s_prep_q_prep_fx_ref, test/test_ao_sparsity.py::TestActivationSparsifier::test_activation_sparsifier, test/test_ao_sparsity.py::TestBaseDataScheduler::test_constructor, test/test_ao_sparsity.py::TestBaseDataScheduler::test_order_of_steps, test/test_ao_sparsity.py::TestBaseDataScheduler::test_state_dict, test/test_ao_sparsity.py::TestBaseDataScheduler::test_step, test/test_ao_sparsity.py::TestBaseDataSparsifier::test_nn_embeddings, test/test_ao_sparsity.py::TestBaseDataSparsifier::test_nn_parameters, test/test_ao_sparsity.py::TestBaseDataSparsifier::test_tensors, test/test_ao_sparsity.py::TestNormDataSparsifiers::test_nn_embeddings, test/test_ao_sparsity.py::TestNormDataSparsifiers::test_nn_parameters, test/test_ao_sparsity.py::TestNormDataSparsifiers::test_tensors, test/test_ao_sparsity.py::TestQuantizationUtils::test_ptq_quantize_first, test/test_ao_sparsity.py::TestQuantizationUtils::test_ptq_sparsify_first, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_fqn_to_module, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_fqn_to_module_fail, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_fqn_to_module_for_tensors, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_get_arg_info_from_tensor_fqn, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_get_arg_info_from_tensor_fqn_fail, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_module_to_fqn, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_module_to_fqn_fail, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_module_to_fqn_root 2025-08-26T20:53:31.9105220Z 2025-08-26T20:53:33.3605302Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:53:33.3606887Z import pkg_resources 2025-08-26T20:53:33.4842380Z Running profiler/test_kineto 1/1 ... [2025-08-26 20:53:33.483835] 2025-08-26T20:53:33.4843110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:53:33.4845064Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_kineto.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:53:33.484186] 2025-08-26T20:53:35.0391656Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:53:35.0394652Z import pkg_resources 2025-08-26T20:53:35.1634366Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-08-26 20:53:35.163016] 2025-08-26T20:53:35.1636265Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:53:35.1638144Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:53:35.163411] 2025-08-26T20:53:36.9540747Z 2025-08-26T20:53:36.9542287Z profiler/test_kineto 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_kineto_1.1_0b99b4f77d7c1563_.log 2025-08-26T20:53:36.9543945Z Running 1 items in this shard: test/profiler/test_kineto.py::SimpleKinetoInitializationTest::test_kineto_profiler_with_environment_variable 2025-08-26T20:53:36.9544690Z 2025-08-26T20:53:39.0963793Z 2025-08-26T20:53:39.0965367Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_d2e480bf8c2fd90a_.log 2025-08-26T20:53:39.1029305Z Running 103 items in this shard: test/export/test_serialize.py::TestSerialize::test_canonicalize, test/export/test_serialize.py::TestSerialize::test_export_example_inputs_preserved, test/export/test_serialize.py::TestSerialize::test_export_with_extension_op_serialization, test/export/test_serialize.py::TestSerialize::test_int_list, test/export/test_serialize.py::TestSerialize::test_kwargs_default, test/export/test_serialize.py::TestSerialize::test_metadata_parsing_with_layer_split, test/export/test_serialize.py::TestSerialize::test_metadata_run_decomp_serder, test/export/test_serialize.py::TestSerialize::test_multi_return_some_unused, test/export/test_serialize.py::TestSerialize::test_nested_layer_split, test/export/test_serialize.py::TestSerialize::test_nonfinite_inputs, test/export/test_serialize.py::TestSerialize::test_predispatch_export_with_autograd_op, test/export/test_serialize.py::TestSerialize::test_preserve_aliasing, test/export/test_serialize.py::TestSerialize::test_rational_ranges, test/export/test_serialize.py::TestSerialize::test_serialize_constant_outputs, test/export/test_serialize.py::TestSerialize::test_serialize_infinite_sym_int, test/export/test_serialize.py::TestSerialize::test_serialize_list_returns, test/export/test_serialize.py::TestSerialize::test_serialize_multiple_returns_from_node, test/export/test_serialize.py::TestSerialize::test_serialize_param_mutation, test/export/test_serialize.py::TestSerialize::test_serialize_sym_float, test/export/test_serialize.py::TestSerialize::test_serialize_sym_int, test/export/test_serialize.py::TestSerialize::test_symint_list, test/export/test_serialize.py::TestDeserialize::test_arg_from, test/export/test_serialize.py::TestDeserialize::test_auto_functionalize, test/export/test_serialize.py::TestDeserialize::test_basic, test/export/test_serialize.py::TestDeserialize::test_cond, test/export/test_serialize.py::TestDeserialize::test_constraints, test/export/test_serialize.py::TestDeserialize::test_custom_obj, test/export/test_serialize.py::TestDeserialize::test_custom_obj_list_out, test/export/test_serialize.py::TestDeserialize::test_custom_obj_tuple_out, test/export/test_serialize.py::TestDeserialize::test_device, test/export/test_serialize.py::TestDeserialize::test_dynamic, test/export/test_serialize.py::TestDeserialize::test_export_no_inputs, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_assume_constant_result, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_autograd_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_class_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_class_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_nested_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_nonlocal_variables, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_closed_over_variable, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_operands, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_predicate, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_constrain_as_size_example, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_constrain_as_value_example, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_decorator, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dictionary, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_assert, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_constructor, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_if_guard, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_map, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_slicing, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_view, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_fn_with_kwargs, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_list_contains, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_list_unpack, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_nested_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_null_context_manager, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_pytree_flatten, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_scalar_output, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_specialized_attribute, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_static_for_loop, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_static_if, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_tensor_setattr, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_type_reflection_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_user_input_mutation, test/export/test_serialize.py::TestDeserialize::test_forward_compatibility, test/export/test_serialize.py::TestDeserialize::test_get_attr, test/export/test_serialize.py::TestDeserialize::test_get_attr_list, test/export/test_serialize.py::TestDeserialize::test_hoo_symint_input, test/export/test_serialize.py::TestDeserialize::test_list_of_optional_tensors, test/export/test_serialize.py::TestDeserialize::test_map, test/export/test_serialize.py::TestDeserialize::test_module, test/export/test_serialize.py::TestDeserialize::test_module_meta, test/export/test_serialize.py::TestDeserialize::test_multi_return, test/export/test_serialize.py::TestDeserialize::test_multiple_getitem, test/export/test_serialize.py::TestDeserialize::test_none_input, test/export/test_serialize.py::TestDeserialize::test_optional_tuple, test/export/test_serialize.py::TestDeserialize::test_positional_argument_with_default_value, test/export/test_serialize.py::TestDeserialize::test_pytree_namedtuple, test/export/test_serialize.py::TestDeserialize::test_serialize_float8, test/export/test_serialize.py::TestDeserialize::test_shape, test/export/test_serialize.py::TestDeserialize::test_sym_bool, test/export/test_serialize.py::TestDeserialize::test_sym_bool_dynamic_shapes, test/export/test_serialize.py::TestDeserialize::test_sym_bool_torch_check_equal, test/export/test_serialize.py::TestDeserialize::test_sym_float, test/export/test_serialize.py::TestDeserialize::test_sym_int_torch_check_equal, test/export/test_serialize.py::TestDeserialize::test_sym_ite, test/export/test_serialize.py::TestDeserialize::test_tensor_tensor_list, test/export/test_serialize.py::TestDeserialize::test_unbacked_bindings_serialize, test/export/test_serialize.py::TestSchemaVersioning::test_error, test/export/test_serialize.py::TestSaveLoad::test_save_buffer, test/export/test_serialize.py::TestSaveLoad::test_save_constants, test/export/test_serialize.py::TestSaveLoad::test_save_extra, test/export/test_serialize.py::TestSaveLoad::test_save_file, test/export/test_serialize.py::TestSaveLoad::test_save_path, test/export/test_serialize.py::TestSaveLoad::test_version_error, test/export/test_serialize.py::TestSerializeCustomClass::test_backed_size_oblivious_serdes, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class_containing_fake_tensor, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class_input_to_function, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_copy, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_decomp, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_serialization, test/export/test_serialize.py::TestSerializeCustomClass::test_unbacked_range_serdes 2025-08-26T20:53:39.1093066Z 2025-08-26T20:53:40.3588901Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:53:40.3590619Z import pkg_resources 2025-08-26T20:53:40.4831201Z Running test_comparison_utils 1/1 ... [2025-08-26 20:53:40.482705] 2025-08-26T20:53:40.4831815Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:53:40.4834054Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_comparison_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:53:40.483085] 2025-08-26T20:53:42.3295333Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:53:42.3298656Z import pkg_resources 2025-08-26T20:53:42.4522154Z Running functorch/test_ac_logging 1/1 ... [2025-08-26 20:53:42.451816] 2025-08-26T20:53:42.4523032Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:53:42.4525310Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ac_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:53:42.452187] 2025-08-26T20:53:44.0032596Z 2025-08-26T20:53:44.0034142Z test_comparison_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_comparison_utils_1.1_a1d3a9d7e5a229e0_.log 2025-08-26T20:53:44.0040147Z Running 7 items in this shard: test/test_comparison_utils.py::TestComparisonUtils::test_all_equal_no_assert, test/test_comparison_utils.py::TestComparisonUtils::test_all_equal_no_assert_nones, test/test_comparison_utils.py::TestComparisonUtils::test_assert_device, test/test_comparison_utils.py::TestComparisonUtils::test_assert_dtype, test/test_comparison_utils.py::TestComparisonUtils::test_assert_layout, test/test_comparison_utils.py::TestComparisonUtils::test_assert_sizes, test/test_comparison_utils.py::TestComparisonUtils::test_assert_strides 2025-08-26T20:53:44.0044442Z 2025-08-26T20:53:45.8730990Z 2025-08-26T20:53:45.8731975Z functorch/test_ac_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_logging_1.1_82d0cf99d2f1b86c_.log 2025-08-26T20:53:45.8734627Z Running 4 items in this shard: test/functorch/test_ac_logging.py::TestAcLogging::test_create_activation_checkpointing_logging_structure_payload, test/functorch/test_ac_logging.py::TestAcLogging::test_create_joint_graph_edges, test/functorch/test_ac_logging.py::TestAcLogging::test_create_joint_graph_node_information, test/functorch/test_ac_logging.py::TestAcLogging::test_create_structured_trace_for_min_cut_info 2025-08-26T20:53:45.8736594Z 2025-08-26T20:53:47.2527698Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:53:47.2529600Z import pkg_resources 2025-08-26T20:53:47.3783745Z Running test_mkl_verbose 1/1 ... [2025-08-26 20:53:47.378006] 2025-08-26T20:53:47.3784214Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:53:47.3788152Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkl_verbose.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:53:47.378401] 2025-08-26T20:53:49.1620053Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:53:49.1621631Z import pkg_resources 2025-08-26T20:53:49.2858451Z Running test_decomp 1/1 ... [2025-08-26 20:53:49.285382] 2025-08-26T20:53:49.2859012Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:53:49.2861737Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:53:49.285848] 2025-08-26T20:53:55.2577914Z 2025-08-26T20:53:55.2579153Z test_mkl_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkl_verbose_1.1_e72011b112d3b2a8_.log 2025-08-26T20:53:55.2581389Z Running 2 items in this shard: test/test_mkl_verbose.py::TestMKLVerbose::test_verbose_off, test/test_mkl_verbose.py::TestMKLVerbose::test_verbose_on 2025-08-26T20:53:55.2582529Z 2025-08-26T20:53:58.8149185Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:53:58.8150762Z import pkg_resources 2025-08-26T20:53:58.9408295Z Running test_mkldnn_verbose 1/1 ... [2025-08-26 20:53:58.940458] 2025-08-26T20:53:58.9408780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:53:58.9411690Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn_verbose.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:53:58.940875] 2025-08-26T20:54:05.2663193Z 2025-08-26T20:54:05.2664430Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_885ecc41f7483e93_.log 2025-08-26T20:54:05.2666550Z Running 2 items in this shard: test/test_mkldnn_verbose.py::TestMKLDNNVerbose::test_verbose_off, test/test_mkldnn_verbose.py::TestMKLDNNVerbose::test_verbose_on 2025-08-26T20:54:05.2667784Z 2025-08-26T20:54:08.4907668Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:54:08.4909229Z import pkg_resources 2025-08-26T20:54:08.6147673Z Running test_utils_config_module 1/1 ... [2025-08-26 20:54:08.614350] 2025-08-26T20:54:08.6148535Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:54:08.6150582Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_utils_config_module.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:54:08.614705] 2025-08-26T20:54:12.1354372Z 2025-08-26T20:54:12.1355986Z test_utils_config_module 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_config_module_1.1_17e58ac0412a5b85_.log 2025-08-26T20:54:12.1364374Z Running 22 items in this shard: test/test_utils_config_module.py::TestConfigModule::test_alias, test/test_utils_config_module.py::TestConfigModule::test_bad_jk_type, test/test_utils_config_module.py::TestConfigModule::test_base_value_loading, test/test_utils_config_module.py::TestConfigModule::test_codegen_config, test/test_utils_config_module.py::TestConfigModule::test_codegen_config_function, test/test_utils_config_module.py::TestConfigModule::test_dict_copy_semantics, test/test_utils_config_module.py::TestConfigModule::test_env_name_semantics, test/test_utils_config_module.py::TestConfigModule::test_env_name_string_semantics, test/test_utils_config_module.py::TestConfigModule::test_get_hash, test/test_utils_config_module.py::TestConfigModule::test_invalid_config_float, test/test_utils_config_module.py::TestConfigModule::test_invalid_config_int, test/test_utils_config_module.py::TestConfigModule::test_make_closur_patcher, test/test_utils_config_module.py::TestConfigModule::test_multi_env, test/test_utils_config_module.py::TestConfigModule::test_none_override_semantics, test/test_utils_config_module.py::TestConfigModule::test_overrides, test/test_utils_config_module.py::TestConfigModule::test_patch, test/test_utils_config_module.py::TestConfigModule::test_reference_is_default, test/test_utils_config_module.py::TestConfigModule::test_reference_semantics, test/test_utils_config_module.py::TestConfigModule::test_save_config, test/test_utils_config_module.py::TestConfigModule::test_save_config_portable, test/test_utils_config_module.py::TestConfigModule::test_type_loading, test/test_utils_config_module.py::TestConfigModule::test_unittest_patch 2025-08-26T20:54:12.1372338Z 2025-08-26T20:54:15.3343139Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:54:15.3345883Z import pkg_resources 2025-08-26T20:54:15.4574954Z Running test_ops_jit 1/2 ... [2025-08-26 20:54:15.457101] 2025-08-26T20:54:15.4575749Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:54:15.4578342Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_jit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:54:15.457456] 2025-08-26T20:54:35.6288071Z 2025-08-26T20:54:35.6290089Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_c41faafeac36598c_.log 2025-08-26T20:54:35.6323718Z Running 67 items in this shard: test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_aot_function, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_multiple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_simple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_auto_functionalize, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_autograd_function, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_buffer_mutation_errors_under_training, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_buffer_mutation_works_under_no_grad, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_bwd_partitioning, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_complex, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_const_tensor, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dce, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dedupe, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_different_strides_in_backward, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_different_symint, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_differing_strides_for_grad_outs, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_div, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dropout_checks_joint_graph, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dropout_checks_joint_graph_inference, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dynamic, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_fail_with_direct_invoke_subgraph, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_fake_tensor_checking, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_gen_schema, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_gen_schema_with_buffer_mutation, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_input_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_inference_mode, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_mutiple_times, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_mutiple_times_fake_tensor_cahche_hit, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_output_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_kwargs_only, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_list, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_mod_attr_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module_forward, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_nonlocal_update, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_normalize_gm, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_output_output_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_preserves_output_strides, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_preserves_strides, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_redundant_compile_region, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_none, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_none_from_fwd, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_simple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_simple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_symint_from_fwd_to_bwd, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_triton_kernel_native, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_tuple_of_tuple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked_symbol, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_view_to_reshape, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_simple_func, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_simple_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_simple_func, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_simple_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_unbacked, test/higher_order_ops/test_invoke_subgraph.py::NegativeTesting::test_graph_break 2025-08-26T20:54:35.6352649Z 2025-08-26T20:54:38.9137383Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:54:38.9140565Z import pkg_resources 2025-08-26T20:54:39.0358547Z Running test_ops_jit 2/2 ... [2025-08-26 20:54:39.034995] 2025-08-26T20:54:39.0359291Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:54:39.0361466Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_jit.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:54:39.035359] 2025-08-26T20:58:37.1721372Z 2025-08-26T20:58:37.1722638Z test_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.1_27c06b2e80cdd6a1_.log 2025-08-26T20:58:37.7118718Z Running 9020 items in this shard: test/test_decomp.py::TestDecompCPU::test_arange_graph_cpu, test/test_decomp.py::TestDecompCPU::test_batch_norm_unflatten_weight_bias_cpu, test/test_decomp.py::TestDecompCPU::test_bernoulli_default_cpu, test/test_decomp.py::TestDecompCPU::test_broadcasting_index_copy_cpu, test/test_decomp.py::TestDecompCPU::test_cat_single_input_cpu, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__native_batch_norm_legit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__native_batch_norm_legit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__native_batch_norm_legit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__native_batch_norm_legit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_lengths_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_lengths_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_lengths_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_lengths_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_complex64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_int16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_exponential_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exponential_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exponential_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exponential_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lcm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lcm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lcm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lcm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lcm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_ex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_ex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_triangular_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_triangular_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_triangular_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_triangular_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_log_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_log_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_log_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_log_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logaddexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logaddexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logaddexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logaddexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmin_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_int16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_indices_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_indices_cpu_int32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_bfloat16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_real_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_real_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_masked_fill_cpu, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_grid_sampler_2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_grid_sampler_2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_grid_sampler_2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_grid_sampler_2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int16, 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test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_complex64, 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test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int32, 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test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tril_indices_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_tril_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_triu_indices_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_triu_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_GRU_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_GRU_eval_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_GRU_train_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_GRU_train_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_eval_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_train_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_train_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_eval_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_train_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_train_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_uniform_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_amp_batch_norm_backward_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_contiguous_log_softmax_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_contiguous_softmax_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_elu_backward_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_exponential_non_inf_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_native_layer_norm_cpu_decomp_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_rms_norm_decomp_cuda_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_decomp.py::DecompOneOffTestsCPU::test_threshold_backward_dtype_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_weight_norm_interface_cpu, test/test_decomp.py::HasDecompTest::test_aten_core_operators, test/test_decomp.py::HasDecompTest::test_has_decomposition 2025-08-26T20:58:38.1244065Z 2025-08-26T20:58:40.5873596Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T20:58:40.5876692Z import pkg_resources 2025-08-26T20:58:40.7103725Z Running test_dataloader 1/1 ... [2025-08-26 20:58:40.709880] 2025-08-26T20:58:40.7104845Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:58:40.7106902Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_dataloader.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:58:40.710269] 2025-08-26T21:02:14.0055162Z 2025-08-26T21:02:14.0056547Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_01834e8ca9434583_.log 2025-08-26T21:02:14.0458924Z Running 598 items in this shard: test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_acos_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_asin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_atan2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_clamp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_div_trunc_rounding_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_erfinv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_exp2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_expm1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_ge_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_i0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_igamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_igammac_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_lgamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_det_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_lt_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_matmul_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_matrix_exp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_min_binary_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_movedim_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_neg_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose1d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose2d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_group_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_layer_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_rms_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_outer_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_sigmoid_cpu_float32, 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test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_fill_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_logaddexp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_logsumexp_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_mean_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_median_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_prod_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_prod_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_select_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_softmin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_std_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_masked_sum_cpu_complex64, 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test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_min_binary_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_min_reduction_with_dim_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_movedim_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_multinomial_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mv_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nanmean_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nanmedian_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nanquantile_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_narrow_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_native_batch_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_native_layer_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ne_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_neg_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_empty_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_full_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_ones_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_ones_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_new_zeros_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nextafter_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_alpha_dropout_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_bilinear_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_celu_cpu_float32, 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test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tile_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tile_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_sparse_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trace_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapz_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triangular_solve_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tril_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triu_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trunc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_uniform_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unique_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsafe_chunk_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsafe_split_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsafe_split_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsqueeze_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_unbiased_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_unbiased_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_unbiased_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_real_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vsplit_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_where_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zero__cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zero__cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_like_cpu_float32 2025-08-26T21:02:14.0845279Z 2025-08-26T21:02:17.3704687Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:02:17.3707626Z import pkg_resources 2025-08-26T21:02:17.4952333Z Running test_modules 1/2 ... [2025-08-26 21:02:17.494770] 2025-08-26T21:02:17.4953270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:02:17.4956907Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:02:17.495180] 2025-08-26T21:03:03.6226537Z 2025-08-26T21:03:03.6227805Z test_ops_jit 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_2.2_801e988405818557_.log 2025-08-26T21:03:03.6786045Z Running 540 items in this shard: test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_abs_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_acosh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_asinh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_atan_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_atanh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_cat_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_digamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_div_floor_rounding_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_div_no_rounding_mode_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_erf_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_erfc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_gt_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_le_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_householder_product_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_inv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_matrix_power_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_log1p_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_log_softmax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_log_softmax_with_dtype_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_logit_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_logsumexp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mH_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_max_binary_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mul_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_ne_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv1d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv2d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv3d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose3d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_neg_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_softmax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_transpose_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_trunc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_vstack_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_T_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___getitem___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___getitem___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rdiv___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmatmul___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmul___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmul___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__batch_norm_with_update_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__chunk_cat_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__native_batch_norm_legit_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__segment_reduce_lengths_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__unsafe_masked_index_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_abs_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acos_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acos_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acosh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_add_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addbmm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcdiv_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcmul_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_alias_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_all_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_amax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_aminmax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_any_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argsort_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argwhere_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_scatter_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_scatter_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asin_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asinh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atanh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atanh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_2d_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_3d_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_3d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_baddbmm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bernoulli_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bfloat16_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bfloat16_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_block_diag_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_shapes_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_byte_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_byte_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cartesian_prod_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cat_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cauchy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cdist_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cdouble_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_chalf_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_char_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_char_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_solve_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clamp_min_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clone_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clone_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_column_stack_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_combinations_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_physical_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_constant_pad_nd_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cos_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cosh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_count_nonzero_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cross_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cross_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cummin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumprod_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumsum_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumsum_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumulative_trapezoid_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumulative_trapezoid_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_deg2rad_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagflat_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagonal_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagonal_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagonal_scatter_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diff_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dist_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_div_floor_rounding_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_div_no_rounding_mode_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_div_no_rounding_mode_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dot_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_double_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dsplit_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dstack_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_einsum_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_permuted_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_permuted_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_strided_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_eq_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_equal_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_equal_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_erf_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_exp2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expand_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expand_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expand_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expm1_cpu_complex64, 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test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_interpolate_nearest_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_l1_loss_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_layer_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_leaky_relu_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_logsigmoid_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_max_pool1d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_max_unpool1d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_multi_margin_loss_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_normalize_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_circular_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_reflect_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_replicate_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_replicate_negative_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pairwise_distance_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pdist_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pixel_shuffle_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_prelu_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_relu6_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_relu_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_rms_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_selu_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_silu_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_soft_margin_loss_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softmin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_softsign_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_threshold_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_triplet_margin_loss_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nonzero_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nonzero_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_nonzero_static_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_fro_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_nuc_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_norm_nuc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_normal_in_place_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_normal_number_mean_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ones_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ones_like_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ones_like_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ormqr_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_outer_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_permute_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_permute_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_permute_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polygamma_polygamma_n_2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polygamma_polygamma_n_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_polygamma_polygamma_n_4_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_positive_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_positive_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_pow_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_prod_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_qr_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_qr_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rad2deg_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rand_like_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rand_like_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_randn_like_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ravel_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_real_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reciprocal_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_remainder_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_renorm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_repeat_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_repeat_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_repeat_interleave_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_repeat_interleave_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_reshape_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resize_as__cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resize_as__cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resolve_conj_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resolve_neg_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_resolve_neg_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_roll_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rot90_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_round_decimals_0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rsqrt_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_rsub_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scalar_tensor_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_scatter_reduce_sum_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_searchsorted_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_select_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sgn_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sgn_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_short_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sign_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_signal_windows_bartlett_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_signal_windows_blackman_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_signal_windows_general_hamming_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_signal_windows_hamming_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_signal_windows_hann_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_signal_windows_kaiser_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sinh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_slice_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sparse_sampled_addmm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sparse_sampled_addmm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_bessel_j0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_bessel_j1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_bessel_y1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_hermite_polynomial_h_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_i0e_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_i1e_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_legendre_polynomial_p_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_log_ndtr_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_modified_bessel_k0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_modified_bessel_k1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_ndtri_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_scaled_modified_bessel_k1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_zeta_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_with_sizes_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sqrt_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_square_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_squeeze_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_squeeze_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_squeeze_multiple_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_stack_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_mean_unbiased_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_unbiased_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_unbiased_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_stft_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sub_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_to_size_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_to_size_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_svd_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_t_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_along_dim_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_along_dim_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_take_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tan_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensor_split_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensordot_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensordot_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_sparse_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_topk_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trace_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapezoid_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapezoid_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapz_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triangular_solve_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tril_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triu_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_true_divide_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_true_divide_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unflatten_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unflatten_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_uniform_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unique_consecutive_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsafe_chunk_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsqueeze_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsqueeze_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsqueeze_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_unbiased_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vdot_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vdot_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_complex_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vsplit_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vstack_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vstack_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_where_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_xlogy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_like_cpu_complex64 2025-08-26T21:03:03.7231939Z 2025-08-26T21:03:07.3286423Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:03:07.3289917Z import pkg_resources 2025-08-26T21:03:07.4530506Z Running test_matmul_cuda 1/1 ... [2025-08-26 21:03:07.452299] 2025-08-26T21:03:07.4531343Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:03:07.4536419Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:03:07.452732] 2025-08-26T21:03:12.1083461Z 2025-08-26T21:03:12.1086604Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_c81264d4ccfcf363_.log 2025-08-26T21:03:12.1089026Z Running 0 items in this shard: 2025-08-26T21:03:12.1090226Z 2025-08-26T21:03:16.2648814Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:03:16.2651748Z import pkg_resources 2025-08-26T21:03:16.4488932Z Running torch_np/test_dtype 1/1 ... [2025-08-26 21:03:16.448373] 2025-08-26T21:03:16.4494465Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:03:16.4496767Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_dtype.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:03:16.449047] 2025-08-26T21:03:21.1904535Z 2025-08-26T21:03:21.1906104Z torch_np/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_dtype_1.1_35e4ba695d7c0e06_.log 2025-08-26T21:03:21.1936023Z Running 44 items in this shard: test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'bool_', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'complex128', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'complex64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'float16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'float32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'float64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'int16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'int32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'int64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'int8', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'uint16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'uint32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'uint64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'uint8', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_bool, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'bool_', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'complex128', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'complex64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'float16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'float32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'float64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'int16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'int32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'int64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'int8', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'uint16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'uint32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'uint64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'uint8', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.bool_, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.complex128, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.complex64, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.dtype('bool'), test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.float16, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.float32, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.float64, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.int16, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.int32, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.int64, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.int8, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.uint16, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.uint32, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.uint64, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.uint8 2025-08-26T21:03:21.1965402Z 2025-08-26T21:03:24.5813432Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:03:24.5816721Z import pkg_resources 2025-08-26T21:03:24.7054407Z Running test_datapipe 1/1 ... [2025-08-26 21:03:24.705023] 2025-08-26T21:03:24.7055327Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:03:24.7058582Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_datapipe.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:03:24.705407] 2025-08-26T21:03:42.3865456Z 2025-08-26T21:03:42.3866761Z test_dataloader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_1.1_df6ee15c95a48803_.log 2025-08-26T21:03:42.3936266Z Running 186 items in this shard: test/test_dataloader.py::TestDatasetRandomSplit::test_incomplete_fractional_splits, test/test_dataloader.py::TestDatasetRandomSplit::test_lengths_must_equal_dataset_size, test/test_dataloader.py::TestDatasetRandomSplit::test_slicing_of_subset_of_dataset, test/test_dataloader.py::TestDatasetRandomSplit::test_slicing_of_subset_of_subset, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_are_mutually_exclusive, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_generator, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_have_correct_size, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_indexing_type, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_reproducibility, test/test_dataloader.py::TestTensorDataset::test_getitem, test/test_dataloader.py::TestTensorDataset::test_getitem_1d, test/test_dataloader.py::TestTensorDataset::test_len, test/test_dataloader.py::TestTensorDataset::test_many_tensors, test/test_dataloader.py::TestTensorDataset::test_single_tensor, test/test_dataloader.py::TestStackDataset::test_empty, test/test_dataloader.py::TestStackDataset::test_getitem, test/test_dataloader.py::TestStackDataset::test_getitems, test/test_dataloader.py::TestStackDataset::test_getitems_raises_index_error, test/test_dataloader.py::TestStackDataset::test_getitems_value_error, test/test_dataloader.py::TestStackDataset::test_len, test/test_dataloader.py::TestStackDataset::test_mixed, test/test_dataloader.py::TestStackDataset::test_single, test/test_dataloader.py::TestStackDataset::test_size_mismatch, test/test_dataloader.py::TestConcatDataset::test_add_dataset, test/test_dataloader.py::TestConcatDataset::test_concat_raises_index_error, test/test_dataloader.py::TestConcatDataset::test_concat_two_non_singletons, test/test_dataloader.py::TestConcatDataset::test_concat_two_non_singletons_with_empty, test/test_dataloader.py::TestConcatDataset::test_concat_two_singletons, test/test_dataloader.py::TestConcatDataset::test_iterable_dataset_err, test/test_dataloader.py::TestDataLoader::test_batch_sampler, test/test_dataloader.py::TestDataLoader::test_builtin_collection_conversion, test/test_dataloader.py::TestDataLoader::test_bulk_loading_nobatch, test/test_dataloader.py::TestDataLoader::test_chain_iterable_style_dataset, test/test_dataloader.py::TestDataLoader::test_default_collate_bad_numpy_types, test/test_dataloader.py::TestDataLoader::test_default_collate_bad_sequence_type, test/test_dataloader.py::TestDataLoader::test_default_collate_dtype, test/test_dataloader.py::TestDataLoader::test_default_collate_mapping_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_numpy_memmap, test/test_dataloader.py::TestDataLoader::test_default_collate_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_sequence_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_shared_tensor, test/test_dataloader.py::TestDataLoader::test_default_convert_mapping_keep_type, test/test_dataloader.py::TestDataLoader::test_default_convert_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoader::test_default_convert_sequence_keep_type, test/test_dataloader.py::TestDataLoader::test_distributed_sampler_invalid_rank, test/test_dataloader.py::TestDataLoader::test_duplicating_data_with_drop_last, test/test_dataloader.py::TestDataLoader::test_error, test/test_dataloader.py::TestDataLoader::test_error_in_init, test/test_dataloader.py::TestDataLoader::test_error_workers, test/test_dataloader.py::TestDataLoader::test_excessive_thread_creation_warning, test/test_dataloader.py::TestDataLoader::test_fd_limit_exceeded, test/test_dataloader.py::TestDataLoader::test_get_worker_info, test/test_dataloader.py::TestDataLoader::test_growing_dataset, test/test_dataloader.py::TestDataLoader::test_invalid_assign_after_init, test/test_dataloader.py::TestDataLoader::test_invalid_ctor_args_combinations, test/test_dataloader.py::TestDataLoader::test_iterable_style_dataset, test/test_dataloader.py::TestDataLoader::test_iterabledataset_len, test/test_dataloader.py::TestDataLoader::test_large_sampler_indices, test/test_dataloader.py::TestDataLoader::test_len, test/test_dataloader.py::TestDataLoader::test_multi_epochs_reproducibility, test/test_dataloader.py::TestDataLoader::test_multiple_dataloaders, test/test_dataloader.py::TestDataLoader::test_multiprocessing_contexts, test/test_dataloader.py::TestDataLoader::test_multiprocessing_iterdatapipe, test/test_dataloader.py::TestDataLoader::test_multiprocessing_iterdatapipe_with_dill, test/test_dataloader.py::TestDataLoader::test_no_segfault, test/test_dataloader.py::TestDataLoader::test_numpy, test/test_dataloader.py::TestDataLoader::test_numpy_gen_state, test/test_dataloader.py::TestDataLoader::test_numpy_scalars, test/test_dataloader.py::TestDataLoader::test_partial_workers, test/test_dataloader.py::TestDataLoader::test_proper_exit, test/test_dataloader.py::TestDataLoader::test_random_sampler, test/test_dataloader.py::TestDataLoader::test_random_sampler_len_with_replacement, test/test_dataloader.py::TestDataLoader::test_random_sampler_len_without_replacement, test/test_dataloader.py::TestDataLoader::test_sampler, test/test_dataloader.py::TestDataLoader::test_sampler_reproducibility, test/test_dataloader.py::TestDataLoader::test_segfault, test/test_dataloader.py::TestDataLoader::test_seqential_batch_workers, test/test_dataloader.py::TestDataLoader::test_seqential_batch_workers_prefetch, test/test_dataloader.py::TestDataLoader::test_sequential_batch, test/test_dataloader.py::TestDataLoader::test_sequential_nonbatch, test/test_dataloader.py::TestDataLoader::test_sequential_pin_memory, test/test_dataloader.py::TestDataLoader::test_sequential_workers, test/test_dataloader.py::TestDataLoader::test_shuffle, test/test_dataloader.py::TestDataLoader::test_shuffle_batch, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_none, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_workers, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_workers_prefetch, test/test_dataloader.py::TestDataLoader::test_shuffle_pin_memory, test/test_dataloader.py::TestDataLoader::test_shuffle_reproducibility, test/test_dataloader.py::TestDataLoader::test_shuffle_workers, test/test_dataloader.py::TestDataLoader::test_timeout, test/test_dataloader.py::TestDataLoader::test_typing, test/test_dataloader.py::TestDataLoader::test_worker_init_fn, test/test_dataloader.py::TestDataLoader::test_worker_seed, test/test_dataloader.py::TestDataLoader::test_worker_seed_reproducibility, test/test_dataloader.py::IntegrationTestDataLoaderDataPipe::test_shuffler_iterdatapipe, test/test_dataloader.py::TestStringDataLoader::test_shuffle_pin_memory, test/test_dataloader.py::TestDictDataLoader::test_pin_memory, test/test_dataloader.py::TestDictDataLoader::test_pin_memory_device, test/test_dataloader.py::TestDictDataLoader::test_pin_memory_no_cuda, test/test_dataloader.py::TestDictDataLoader::test_pin_memory_with_only_device, test/test_dataloader.py::TestDictDataLoader::test_sequential_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_batch_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_builtin_collection_conversion, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_bulk_loading_nobatch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_chain_iterable_style_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_dataset_not_reset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_bad_numpy_types, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_bad_sequence_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_dtype, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_mapping_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_numpy_memmap, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_sequence_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_shared_tensor, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_mapping_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_sequence_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_distributed_sampler_invalid_rank, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_duplicating_data_with_drop_last, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_early_exit, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error_in_init, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_excessive_thread_creation_warning, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_fd_limit_exceeded, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_get_worker_info, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_growing_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_invalid_assign_after_init, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_invalid_ctor_args_combinations, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_iterable_style_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_iterabledataset_len, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_large_sampler_indices, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_len, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multi_epochs_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiple_dataloaders, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_contexts, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_iterdatapipe, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_iterdatapipe_with_dill, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_no_segfault, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy_gen_state, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy_scalars, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_partial_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_proper_exit, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler_len_with_replacement, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler_len_without_replacement, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sampler_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_segfault, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_seqential_batch_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_seqential_batch_workers_prefetch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_nonbatch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_pin_memory, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_none, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_workers_prefetch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_pin_memory, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_timeout, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_typing, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_init_fn, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_seed, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_seed_reproducibility, test/test_dataloader.py::TestNamedTupleDataLoader::test_dataloader_with_namedtuple, test/test_dataloader.py::TestCustomPinFn::test_custom_batch_pin, test/test_dataloader.py::TestCustomPinFn::test_custom_batch_pin_worker, test/test_dataloader.py::TestIndividualWorkerQueue::test_ind_worker_queue, test/test_dataloader.py::TestSetAffinity::test_set_affinity_in_worker_init, test/test_dataloader.py::TestConvAfterFork::test_conv_after_fork, test/test_dataloader.py::TestOutOfOrderDataLoader::test_in_order_index_ds, test/test_dataloader.py::TestOutOfOrderDataLoader::test_in_order_iterable_ds, test/test_dataloader.py::TestOutOfOrderDataLoader::test_out_of_order_index_ds, test/test_dataloader.py::TestOutOfOrderDataLoader::test_out_of_order_iterable_ds, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_nested_tensor_multiprocessing_context_fork_cpu, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_nested_tensor_multiprocessing_context_forkserver_cpu, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_nested_tensor_multiprocessing_context_spawn_cpu, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_sparse_tensor_multiprocessing_context_fork_cpu, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_sparse_tensor_multiprocessing_context_forkserver_cpu, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_sparse_tensor_multiprocessing_context_spawn_cpu 2025-08-26T21:03:42.4000134Z 2025-08-26T21:03:43.6685567Z 2025-08-26T21:03:43.6687042Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_00623bc8084e5234_.log 2025-08-26T21:03:43.6722009Z Running 94 items in this shard: test/test_datapipe.py::TestDataChunk::test_as_string, test/test_datapipe.py::TestDataChunk::test_getitem, test/test_datapipe.py::TestDataChunk::test_iter, test/test_datapipe.py::TestDataChunk::test_len, test/test_datapipe.py::TestDataChunk::test_random_shuffle, test/test_datapipe.py::TestDataChunk::test_reverse, test/test_datapipe.py::TestDataChunk::test_sort, test/test_datapipe.py::TestStreamWrapper::test_api, test/test_datapipe.py::TestStreamWrapper::test_dir, test/test_datapipe.py::TestStreamWrapper::test_pickle, test/test_datapipe.py::TestStreamWrapper::test_repr, test/test_datapipe.py::TestIterableDataPipeBasic::test_demux_mux_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_groupby_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_listdirfiles_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_listdirfilesdeterministic_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_map_with_col_file_handle_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_openfilesfromdisk_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_routeddecoder_iterable_datapipe, test/test_datapipe.py::TestCaptureDataFrame::test_basic_capture, test/test_datapipe.py::TestDataFramesPipes::test_batch, test/test_datapipe.py::TestDataFramesPipes::test_capture, test/test_datapipe.py::TestDataFramesPipes::test_collate, test/test_datapipe.py::TestDataFramesPipes::test_filter, test/test_datapipe.py::TestDataFramesPipes::test_shuffle, test/test_datapipe.py::TestDataFramesPipes::test_unbatch, test/test_datapipe.py::TestFunctionalIterDataPipe::test_batch_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_collate_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_concat_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_demux_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_docstring, test/test_datapipe.py::TestFunctionalIterDataPipe::test_filter_datapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_fork_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_iterable_wrapper_datapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_dict_with_col_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_tuple_list_with_col_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_mux_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_sampler_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_serializable, test/test_datapipe.py::TestFunctionalIterDataPipe::test_serializable_with_dill, test/test_datapipe.py::TestFunctionalIterDataPipe::test_shuffler_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_stream_reader_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_unbatch_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_zip_iterdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_batch_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_concat_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_docstring, test/test_datapipe.py::TestFunctionalMapDataPipe::test_map_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_sequence_wrapper_datapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_serializable, test/test_datapipe.py::TestFunctionalMapDataPipe::test_serializable_with_dill, test/test_datapipe.py::TestFunctionalMapDataPipe::test_shuffler_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_zip_mapdatapipe, test/test_datapipe.py::TestTyping::test_compile_time, test/test_datapipe.py::TestTyping::test_construct_time, test/test_datapipe.py::TestTyping::test_isinstance, test/test_datapipe.py::TestTyping::test_issubinstance, test/test_datapipe.py::TestTyping::test_protocol, test/test_datapipe.py::TestTyping::test_reinforce, test/test_datapipe.py::TestTyping::test_runtime, test/test_datapipe.py::TestTyping::test_subtype, test/test_datapipe.py::TestGraph::test_simple_traverse, test/test_datapipe.py::TestGraph::test_traverse_circular_datapipe, test/test_datapipe.py::TestGraph::test_traverse_forked, test/test_datapipe.py::TestGraph::test_traverse_mapdatapipe, test/test_datapipe.py::TestGraph::test_traverse_mixdatapipe, test/test_datapipe.py::TestGraph::test_traverse_unhashable_datapipe, test/test_datapipe.py::TestSerialization::test_spawn_lambdas_iter, test/test_datapipe.py::TestSerialization::test_spawn_lambdas_map, test/test_datapipe.py::TestCircularSerialization::test_circular_serialization_with_dill, test/test_datapipe.py::TestCircularSerialization::test_circular_serialization_with_pickle, test/test_datapipe.py::TestSharding::test_legacy_custom_sharding, test/test_datapipe.py::TestSharding::test_legacy_custom_sharding_with_old_dataloader, test/test_datapipe.py::TestSharding::test_multi_sharding, test/test_datapipe.py::TestSharding::test_old_dataloader, test/test_datapipe.py::TestSharding::test_sharding_groups, test/test_datapipe.py::TestSharding::test_sharding_groups_in_legacy_grouping_package, test/test_datapipe.py::TestSharding::test_sharding_length, test/test_datapipe.py::TestSharding::test_simple_sharding, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_buggy, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_constraint_multiple_outputs, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_generator, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_new_object, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_self_next, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_generator_function, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_generator_function_exception, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_next, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_next_exception, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_return_self, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_custom_non_generator, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_custom_self_next, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph_repeated, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph_with_serialization 2025-08-26T21:03:43.6753316Z 2025-08-26T21:03:45.5788331Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:03:45.5791514Z import pkg_resources 2025-08-26T21:03:45.7030378Z Running test_foreach 1/1 ... [2025-08-26 21:03:45.702653] 2025-08-26T21:03:45.7031146Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:03:45.7033639Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_foreach.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:03:45.703034] 2025-08-26T21:03:46.8841066Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:03:46.8843988Z import pkg_resources 2025-08-26T21:03:47.0068725Z Running test_flop_counter 1/1 ... [2025-08-26 21:03:47.006495] 2025-08-26T21:03:47.0069571Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:03:47.0072067Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_flop_counter.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:03:47.006856] 2025-08-26T21:03:51.3274718Z 2025-08-26T21:03:51.3276091Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_607574fd4aa3ed4e_.log 2025-08-26T21:03:51.3286864Z Running 22 items in this shard: test/test_flop_counter.py::TestFlopCounter::test_addmm_out, test/test_flop_counter.py::TestFlopCounter::test_autograd_op, test/test_flop_counter.py::TestFlopCounter::test_backward, test/test_flop_counter.py::TestFlopCounter::test_backward_reset, test/test_flop_counter.py::TestFlopCounter::test_conv_backwards_as_decomposition, test/test_flop_counter.py::TestFlopCounter::test_conv_transpose_loop, test/test_flop_counter.py::TestFlopCounter::test_convs, test/test_flop_counter.py::TestFlopCounter::test_custom, test/test_flop_counter.py::TestFlopCounter::test_custom_op, test/test_flop_counter.py::TestFlopCounter::test_flop_counter_variety, test/test_flop_counter.py::TestFlopCounter::test_hook_registration, test/test_flop_counter.py::TestFlopCounter::test_inference_mode, test/test_flop_counter.py::TestFlopCounter::test_module, test/test_flop_counter.py::TestFlopCounter::test_nested_attention_fake_tensors, test/test_flop_counter.py::TestFlopCounter::test_noop, test/test_flop_counter.py::TestFlopCounter::test_op, test/test_flop_counter.py::TestFlopCounter::test_pytrees, test/test_flop_counter.py::TestFlopCounter::test_scaled_mm, test/test_flop_counter.py::TestFlopCounter::test_sdpa, test/test_flop_counter.py::TestFlopCounter::test_sdpa_nested_tensor, test/test_flop_counter.py::TestFlopCounter::test_torchscript, test/test_flop_counter.py::TestFlopCounter::test_warning 2025-08-26T21:03:51.3297783Z 2025-08-26T21:03:54.5708156Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:03:54.5711164Z import pkg_resources 2025-08-26T21:03:54.6938263Z Running test_expanded_weights 1/1 ... [2025-08-26 21:03:54.693451] 2025-08-26T21:03:54.6939017Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:03:54.6941871Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_expanded_weights.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:03:54.693830] 2025-08-26T21:04:12.0476407Z 2025-08-26T21:04:12.0477685Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_96927edd5824941f_.log 2025-08-26T21:04:12.0584680Z Running 189 items in this shard: test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_forward_helper_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_forward_helper_failure_args_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_set_grad_sample_if_exists_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_set_grad_sample_if_exists_failure_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_sum_over_all_but_batch_and_last_n_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_failure_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_with_custom_function_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_cnn_model_mean_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_cnn_model_sum_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_embedding_model_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_error_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int8, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_uint8, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_error_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_model_num_dim_1_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_model_num_dim_2_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_model_num_dim_3_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_instance_norm_model_num_dim_1_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_instance_norm_model_num_dim_2_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_instance_norm_model_num_dim_3_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_layer_norm_model_num_dim_1_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_layer_norm_model_num_dim_2_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_layer_norm_model_num_dim_3_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_circular_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_circular_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1size1_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1size1_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad2size1_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad2size1_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_reflect_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_reflect_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_replicate_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_replicate_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_stride_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_stride_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zero_batch_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zero_batch_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zeros_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zeros_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_circular_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_circular_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_dilated_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_dilated_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_no_bias_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_no_bias_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_padding_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_padding_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_reflect_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_reflect_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_replicate_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_replicate_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_strided_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_strided_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_zero_batch_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_zero_batch_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_zeros_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_zeros_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_1x1x1_no_bias_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_1x1x1_no_bias_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_circular_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_circular_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_no_bias_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_no_bias_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_replicate_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_replicate_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_stride_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_stride_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_stride_padding_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_stride_padding_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_zero_batch_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_zero_batch_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_zeros_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_zeros_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Embedding_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Embedding_discontiguous_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Embedding_discontiguous_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Embedding_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_LayerNorm_3d_no_affine_large_feature_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_LayerNorm_3d_no_affine_large_feature_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_no_batch_dim_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_no_batch_dim_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_no_bias_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_no_bias_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_GRU_eval_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_GRU_eval_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_GRU_train_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_GRU_train_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_LSTM_eval_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_LSTM_eval_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_LSTM_train_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_LSTM_train_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_RNN_eval_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_RNN_eval_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_RNN_train_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_RNN_train_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_per_sample_api_compute_batch_size_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_per_sample_api_compute_batch_size_not_pytreeable_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_per_sample_api_failing_cpu 2025-08-26T21:04:12.0681043Z 2025-08-26T21:04:16.1917183Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:04:16.1918759Z import pkg_resources 2025-08-26T21:04:16.3140342Z Running test_file_check 1/1 ... [2025-08-26 21:04:16.313662] 2025-08-26T21:04:16.3140799Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:04:16.3143467Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_file_check.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:04:16.314063] 2025-08-26T21:04:21.7922792Z 2025-08-26T21:04:21.7923977Z test_file_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_file_check_1.1_325aec3b90e6097c_.log 2025-08-26T21:04:21.7928887Z Running 2 items in this shard: test/test_file_check.py::TestFileCheck::test_all_python_api, test/test_file_check.py::TestFileCheck::test_not_run 2025-08-26T21:04:21.7929908Z 2025-08-26T21:04:24.9481544Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:04:24.9485265Z import pkg_resources 2025-08-26T21:04:25.0718411Z Running test_functionalization 1/1 ... [2025-08-26 21:04:25.070842] 2025-08-26T21:04:25.0719427Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:04:25.0721998Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functionalization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:04:25.071281] 2025-08-26T21:04:35.4121743Z 2025-08-26T21:04:35.4123175Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_1146899118e1f01e_.log 2025-08-26T21:04:35.4219265Z Running 112 items in this shard: test/test_functionalization.py::TestFunctionalization::test_advanced_indexing, test/test_functionalization.py::TestFunctionalization::test_advanced_indexing_correct_strides, test/test_functionalization.py::TestFunctionalization::test_aliases_maintained_after_pass_when_reapplying_views, test/test_functionalization.py::TestFunctionalization::test_as_strided, test/test_functionalization.py::TestFunctionalization::test_batch_norm, test/test_functionalization.py::TestFunctionalization::test_cat, test/test_functionalization.py::TestFunctionalization::test_channels_last_contiguous, test/test_functionalization.py::TestFunctionalization::test_copy_, test/test_functionalization.py::TestFunctionalization::test_copy_stride_mismatch, test/test_functionalization.py::TestFunctionalization::test_diagonal, test/test_functionalization.py::TestFunctionalization::test_diagonal_mutated_input, test/test_functionalization.py::TestFunctionalization::test_everything, test/test_functionalization.py::TestFunctionalization::test_expand_symint, test/test_functionalization.py::TestFunctionalization::test_fill_, test/test_functionalization.py::TestFunctionalization::test_freeze, test/test_functionalization.py::TestFunctionalization::test_index_mutation_on_non_input, test/test_functionalization.py::TestFunctionalization::test_inplace_on_non_view, test/test_functionalization.py::TestFunctionalization::test_instance_norm, test/test_functionalization.py::TestFunctionalization::test_metadata_change, test/test_functionalization.py::TestFunctionalization::test_metadata_change_out_op, test/test_functionalization.py::TestFunctionalization::test_mixed_wrappers_invalid, test/test_functionalization.py::TestFunctionalization::test_mixed_wrappers_valid, test/test_functionalization.py::TestFunctionalization::test_multi_out, test/test_functionalization.py::TestFunctionalization::test_multiple_views_of_same_base, test/test_functionalization.py::TestFunctionalization::test_mutable_op_not_inplace_or_other, test/test_functionalization.py::TestFunctionalization::test_mutation_overlapping_mem, test/test_functionalization.py::TestFunctionalization::test_nested_functions_propagate_updates, test/test_functionalization.py::TestFunctionalization::test_only_one_view, test/test_functionalization.py::TestFunctionalization::test_optional_tensor_list, test/test_functionalization.py::TestFunctionalization::test_python_functionalization, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_conj, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_is_conj, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_is_neg, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_lift_fresh, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_lift_fresh_storage, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_neg, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_zero_tensor, test/test_functionalization.py::TestFunctionalization::test_reapply_views_simple, test/test_functionalization.py::TestFunctionalization::test_resize_larger_invalid, test/test_functionalization.py::TestFunctionalization::test_resize_larger_valid, test/test_functionalization.py::TestFunctionalization::test_resize_same_size_diff_rank, test/test_functionalization.py::TestFunctionalization::test_resize_smaller, test/test_functionalization.py::TestFunctionalization::test_save_for_backwards_segfault, test/test_functionalization.py::TestFunctionalization::test_scalars, test/test_functionalization.py::TestFunctionalization::test_set_, test/test_functionalization.py::TestFunctionalization::test_simple, test/test_functionalization.py::TestFunctionalization::test_simple_out, test/test_functionalization.py::TestFunctionalization::test_slice, test/test_functionalization.py::TestFunctionalization::test_split, test/test_functionalization.py::TestFunctionalization::test_split_with_sizes, test/test_functionalization.py::TestFunctionalization::test_tensor_ctr, test/test_functionalization.py::TestFunctionalization::test_tensor_list_composite, test/test_functionalization.py::TestFunctionalization::test_tensor_list_mixed_functional_nonfunctional, test/test_functionalization.py::TestFunctionalization::test_unbind, test/test_functionalization.py::TestFunctionalization::test_view_clone_view_inplace, test/test_functionalization.py::TestFunctionalization::test_view_inplace, test/test_functionalization.py::TestCrossRefFunctionalization::test_advanced_indexing, test/test_functionalization.py::TestCrossRefFunctionalization::test_advanced_indexing_correct_strides, test/test_functionalization.py::TestCrossRefFunctionalization::test_aliases_maintained_after_pass_when_reapplying_views, test/test_functionalization.py::TestCrossRefFunctionalization::test_as_strided, test/test_functionalization.py::TestCrossRefFunctionalization::test_batch_norm, test/test_functionalization.py::TestCrossRefFunctionalization::test_cat, test/test_functionalization.py::TestCrossRefFunctionalization::test_channels_last_contiguous, test/test_functionalization.py::TestCrossRefFunctionalization::test_copy_, test/test_functionalization.py::TestCrossRefFunctionalization::test_copy_stride_mismatch, test/test_functionalization.py::TestCrossRefFunctionalization::test_diagonal, test/test_functionalization.py::TestCrossRefFunctionalization::test_diagonal_mutated_input, test/test_functionalization.py::TestCrossRefFunctionalization::test_everything, test/test_functionalization.py::TestCrossRefFunctionalization::test_expand_symint, test/test_functionalization.py::TestCrossRefFunctionalization::test_fill_, test/test_functionalization.py::TestCrossRefFunctionalization::test_freeze, test/test_functionalization.py::TestCrossRefFunctionalization::test_index_mutation_on_non_input, test/test_functionalization.py::TestCrossRefFunctionalization::test_inplace_on_non_view, test/test_functionalization.py::TestCrossRefFunctionalization::test_instance_norm, test/test_functionalization.py::TestCrossRefFunctionalization::test_metadata_change, test/test_functionalization.py::TestCrossRefFunctionalization::test_metadata_change_out_op, test/test_functionalization.py::TestCrossRefFunctionalization::test_mixed_wrappers_invalid, test/test_functionalization.py::TestCrossRefFunctionalization::test_mixed_wrappers_valid, test/test_functionalization.py::TestCrossRefFunctionalization::test_multi_out, test/test_functionalization.py::TestCrossRefFunctionalization::test_multiple_views_of_same_base, test/test_functionalization.py::TestCrossRefFunctionalization::test_mutable_op_not_inplace_or_other, test/test_functionalization.py::TestCrossRefFunctionalization::test_mutation_overlapping_mem, test/test_functionalization.py::TestCrossRefFunctionalization::test_nested_functions_propagate_updates, test/test_functionalization.py::TestCrossRefFunctionalization::test_only_one_view, test/test_functionalization.py::TestCrossRefFunctionalization::test_optional_tensor_list, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_conj, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_is_conj, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_is_neg, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_lift_fresh, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_lift_fresh_storage, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_neg, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_zero_tensor, test/test_functionalization.py::TestCrossRefFunctionalization::test_reapply_views_simple, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_larger_invalid, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_larger_valid, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_same_size_diff_rank, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_smaller, test/test_functionalization.py::TestCrossRefFunctionalization::test_save_for_backwards_segfault, test/test_functionalization.py::TestCrossRefFunctionalization::test_scalars, test/test_functionalization.py::TestCrossRefFunctionalization::test_set_, test/test_functionalization.py::TestCrossRefFunctionalization::test_simple, test/test_functionalization.py::TestCrossRefFunctionalization::test_simple_out, test/test_functionalization.py::TestCrossRefFunctionalization::test_slice, test/test_functionalization.py::TestCrossRefFunctionalization::test_split, test/test_functionalization.py::TestCrossRefFunctionalization::test_split_with_sizes, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_ctr, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_list_composite, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_list_mixed_functional_nonfunctional, test/test_functionalization.py::TestCrossRefFunctionalization::test_unbind, test/test_functionalization.py::TestCrossRefFunctionalization::test_view_clone_view_inplace, test/test_functionalization.py::TestCrossRefFunctionalization::test_view_inplace 2025-08-26T21:04:35.4310245Z 2025-08-26T21:04:39.7246907Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:04:39.7251309Z import pkg_resources 2025-08-26T21:04:39.9322992Z Running test_testing 1/1 ... [2025-08-26 21:04:39.931885] 2025-08-26T21:04:39.9323778Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:04:39.9329675Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_testing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:04:39.932377] 2025-08-26T21:04:57.3124393Z 2025-08-26T21:04:57.3125657Z test_modules 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.2_8761a3d6799fe0a0_.log 2025-08-26T21:04:57.3897268Z Running 1800 items in this shard: test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_forward_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNN_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNN_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerEncoder_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_repr_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_repr_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_repr_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_save_load_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_save_load_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BCELoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BCEWithLogitsLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm2d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm3d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm3d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Bilinear_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Bilinear_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CELU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CELU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CTCLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CosineEmbeddingLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CrossEntropyLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Embedding_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GELU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRUCell_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRUCell_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRU_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardswish_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardtanh_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_HuberLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_HuberLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm1d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm3d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm3d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_KLDivLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_L1Loss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTMCell_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTM_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTM_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LayerNorm_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LeakyReLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LeakyReLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Linear_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Linear_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LocalResponseNorm_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LocalResponseNorm_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LogSigmoid_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MSELoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Mish_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Mish_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiLabelSoftMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiMarginLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiheadAttention_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_NLLLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_NLLLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_PReLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNNCell_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReLU6_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SELU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Sigmoid_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SmoothL1Loss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SoftMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SoftMarginLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmin_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softplus_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softplus_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softshrink_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softsign_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Tanh_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Tanhshrink_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Threshold_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerDecoderLayer_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoderLayer_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoderLayer_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Transformer_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Transformer_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_True_set_grad_True_cpu_float32 2025-08-26T21:04:57.4586740Z 2025-08-26T21:05:00.4703564Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:05:00.4706521Z import pkg_resources 2025-08-26T21:05:00.5929959Z Running backends/xeon/test_launch 1/1 ... [2025-08-26 21:05:00.592584] 2025-08-26T21:05:00.5930878Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:05:00.5933165Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'backends/xeon/test_launch.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:05:00.592981] 2025-08-26T21:05:05.6147728Z 2025-08-26T21:05:05.6150082Z backends/xeon/test_launch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/backends.xeon.test_launch_1.1_47384e3a44f8b349_.log 2025-08-26T21:05:05.6152652Z Running 2 items in this shard: test/backends/xeon/test_launch.py::TestTorchrun::test_cpu_info, test/backends/xeon/test_launch.py::TestTorchrun::test_multi_threads 2025-08-26T21:05:05.6153945Z 2025-08-26T21:05:08.7744647Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:05:08.7746335Z import pkg_resources 2025-08-26T21:05:08.9040323Z Running functorch/test_ops 1/8 ... [2025-08-26 21:05:08.903661] 2025-08-26T21:05:08.9040800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:05:08.9043777Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:05:08.904107] 2025-08-26T21:05:25.1530767Z 2025-08-26T21:05:25.1532026Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_e4f233cf8dab43ce_.log 2025-08-26T21:05:25.3343458Z Running 2070 items in this shard: test/test_testing.py::TestTestingCPU::test_assertEqual_longMessage_cpu, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_bool, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_complex128, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_complex64, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_float16, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_float32, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_float64, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int16, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int32, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int64, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int8, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_uint8, test/test_testing.py::TestTestingCPU::test_cuda_assert_should_not_stop_common_distributed_test_suite_cpu, test/test_testing.py::TestTestingCPU::test_cuda_assert_should_stop_common_device_type_test_suite_cpu, test/test_testing.py::TestTestingCPU::test_cuda_assert_should_stop_common_utils_test_suite_cpu, test/test_testing.py::TestTestingCPU::test_get_supported_dtypes_cpu, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_bool, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_float16, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_float32, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_float64, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int16, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int32, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int64, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int8, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_uint8, test/test_testing.py::TestTestingCPU::test_isclose_bool_cpu, test/test_testing.py::TestTestingCPU::test_isclose_complex_cpu_complex128, test/test_testing.py::TestTestingCPU::test_isclose_complex_cpu_complex64, test/test_testing.py::TestTestingCPU::test_isclose_equality_shortcut_cpu, test/test_testing.py::TestTestingCPU::test_isclose_float_cpu_float16, test/test_testing.py::TestTestingCPU::test_isclose_float_cpu_float32, test/test_testing.py::TestTestingCPU::test_isclose_float_cpu_float64, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int16, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int32, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int64, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int8, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_uint8, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_complex128, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_complex64, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_float16, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_float32, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_float64, test/test_testing.py::TestTestingCPU::test_setup_and_teardown_run_for_device_specific_tests_cpu, test/test_testing.py::TestTestingCPU::test_supported_dtypes_abs_cpu, test/test_testing.py::TestFrameworkUtils::test_filtering_env_var, test/test_testing.py::TestAssertClose::test_bool, test/test_testing.py::TestAssertClose::test_default_tolerance_selection_mismatching_dtypes, test/test_testing.py::TestAssertClose::test_docstring_examples, test/test_testing.py::TestAssertClose::test_matching, test/test_testing.py::TestAssertClose::test_matching_atol, test/test_testing.py::TestAssertClose::test_matching_conjugate_bit, test/test_testing.py::TestAssertClose::test_matching_nan, test/test_testing.py::TestAssertClose::test_matching_nan_with_equal_nan, test/test_testing.py::TestAssertClose::test_matching_rtol, test/test_testing.py::TestAssertClose::test_meta, test/test_testing.py::TestAssertClose::test_mismatching_dtype, test/test_testing.py::TestAssertClose::test_mismatching_dtype_no_check, test/test_testing.py::TestAssertClose::test_mismatching_layout, test/test_testing.py::TestAssertClose::test_mismatching_layout_no_check, test/test_testing.py::TestAssertClose::test_mismatching_shape, test/test_testing.py::TestAssertClose::test_mismatching_stride, test/test_testing.py::TestAssertClose::test_mismatching_stride_no_check, test/test_testing.py::TestAssertClose::test_mismatching_types, test/test_testing.py::TestAssertClose::test_mismatching_types_subclasses, test/test_testing.py::TestAssertClose::test_mismatching_types_type_equality, test/test_testing.py::TestAssertClose::test_mismatching_values, test/test_testing.py::TestAssertClose::test_mismatching_values_atol, test/test_testing.py::TestAssertClose::test_mismatching_values_rtol, test/test_testing.py::TestAssertClose::test_none, test/test_testing.py::TestAssertClose::test_none_mismatch, test/test_testing.py::TestAssertClose::test_numpy, test/test_testing.py::TestAssertClose::test_only_atol, test/test_testing.py::TestAssertClose::test_only_rtol, test/test_testing.py::TestAssertClose::test_scalar, test/test_testing.py::TestAssertClose::test_unexpected_error_compare, test/test_testing.py::TestAssertClose::test_unexpected_error_originate, test/test_testing.py::TestAssertClose::test_unknown_layout, test/test_testing.py::TestAssertClose::test_unknown_type, test/test_testing.py::TestAssertCloseErrorMessage::test_abs_diff, test/test_testing.py::TestAssertCloseErrorMessage::test_abs_diff_scalar, test/test_testing.py::TestAssertCloseErrorMessage::test_atol, test/test_testing.py::TestAssertCloseErrorMessage::test_identifier_scalars, test/test_testing.py::TestAssertCloseErrorMessage::test_identifier_tensor_likes, test/test_testing.py::TestAssertCloseErrorMessage::test_mismatched_elements, test/test_testing.py::TestAssertCloseErrorMessage::test_msg_callable, test/test_testing.py::TestAssertCloseErrorMessage::test_msg_str, test/test_testing.py::TestAssertCloseErrorMessage::test_not_close, test/test_testing.py::TestAssertCloseErrorMessage::test_not_equal, test/test_testing.py::TestAssertCloseErrorMessage::test_rel_diff, test/test_testing.py::TestAssertCloseErrorMessage::test_rel_diff_scalar, test/test_testing.py::TestAssertCloseErrorMessage::test_rtol, test/test_testing.py::TestAssertCloseErrorMessage::test_small_float_dtype, test/test_testing.py::TestAssertCloseErrorMessage::test_zero_div_zero, test/test_testing.py::TestAssertCloseContainer::test_mapping_mismatching_keys, test/test_testing.py::TestAssertCloseContainer::test_mapping_mismatching_values_msg, test/test_testing.py::TestAssertCloseContainer::test_sequence_mismatching_len, test/test_testing.py::TestAssertCloseContainer::test_sequence_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseCOO::test_matching_coalesced, test/test_testing.py::TestAssertCloseSparseCOO::test_matching_uncoalesced, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_indices_msg, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_nnz, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_sparse_dims, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseCSR::test_matching, test/test_testing.py::TestAssertCloseSparseCSR::test_mismatching_col_indices_msg, test/test_testing.py::TestAssertCloseSparseCSR::test_mismatching_crow_indices_msg, test/test_testing.py::TestAssertCloseSparseCSR::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseCSC::test_matching, test/test_testing.py::TestAssertCloseSparseCSC::test_mismatching_ccol_indices_msg, test/test_testing.py::TestAssertCloseSparseCSC::test_mismatching_row_indices_msg, test/test_testing.py::TestAssertCloseSparseCSC::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseBSR::test_matching, test/test_testing.py::TestAssertCloseSparseBSR::test_mismatching_col_indices_msg, test/test_testing.py::TestAssertCloseSparseBSR::test_mismatching_crow_indices_msg, test/test_testing.py::TestAssertCloseSparseBSR::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseBSC::test_matching, test/test_testing.py::TestAssertCloseSparseBSC::test_mismatching_ccol_indices_msg, test/test_testing.py::TestAssertCloseSparseBSC::test_mismatching_row_indices_msg, test/test_testing.py::TestAssertCloseSparseBSC::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseQuantized::test_matching_per_channel, test/test_testing.py::TestAssertCloseQuantized::test_matching_per_tensor, test/test_testing.py::TestAssertCloseQuantized::test_mismatching_is_quantized, test/test_testing.py::TestAssertCloseQuantized::test_mismatching_qscheme, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_uint8, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types0_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types0_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types0_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types0_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types0_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types0_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types0_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types0_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types0_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types0_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types0_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types0_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types0_cpu_uint8, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_uint8, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types2_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types2_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types2_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types2_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types2_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types2_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types2_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types2_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types2_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types2_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types2_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types2_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types2_cpu_uint8, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types3_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types3_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types3_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types3_cpu_complex32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_linalg_lstsq_grad_oriented_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_linspace_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_linspace_tensor_overload_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_log_normal_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_logaddexp_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_logcumsumexp_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_logical_and_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_logical_or_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_logical_xor_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_logspace_cpu, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cummin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cumprod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cumsum_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cumulative_trapezoid_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_deg2rad_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diag_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diag_embed_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diagflat_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diagonal_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diagonal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diagonal_scatter_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diff_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_digamma_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_dist_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_div_floor_rounding_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_div_no_rounding_mode_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_div_trunc_rounding_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_dot_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_expm1_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_exponential_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_eye_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_fft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_fft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_fftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_fftshift_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_hfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_hfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_hfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifftshift_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ihfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ihfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ihfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_irfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_irfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_irfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_rfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_rfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_rfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fill_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_flatten_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_flip_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fliplr_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_flipud_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_float_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_float_power_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_floor_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_floor_divide_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fmin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fmod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_frac_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_frexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_full_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_full_like_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gather_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gcd_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_ge_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_geometric_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_geqrf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gradient_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_fill_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_put_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_reduce_amax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_reduce_amin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_reduce_mean_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_reduce_prod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_select_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_inner_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_int_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_diagonal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_eig_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_eigh_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_eigvals_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_eigvalsh_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_householder_product_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_inv_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_inv_ex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_ldl_factor_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_ldl_factor_ex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_ldl_solve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lstsq_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lstsq_grad_oriented_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lu_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lu_factor_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lu_factor_ex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lu_solve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_matrix_norm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_matrix_power_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_matrix_rank_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_matrix_rank_hermitian_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_multi_dot_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_norm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_norm_subgradients_at_zero_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_pinv_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_pinv_hermitian_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_pinv_singular_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_qr_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_slogdet_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_solve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_solve_ex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_solve_triangular_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_svd_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_svdvals_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_tensorinv_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_tensorsolve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_vander_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_vecdot_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_vector_norm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linspace_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linspace_tensor_overload_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log10_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log1p_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log_normal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log_softmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log_softmax_with_dtype_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logaddexp2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logaddexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logcumsumexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logdet_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logical_and_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logical_not_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logical_or_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logical_xor_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logit_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logspace_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logspace_tensor_overload_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logsumexp_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_argmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_argmin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_cumprod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_cumsum_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_fill_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_log_softmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_logaddexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_logsumexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_mean_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_polygamma_polygamma_n_2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_polygamma_polygamma_n_3_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_polygamma_polygamma_n_4_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_positive_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_pow_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_prod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_put_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_qr_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_quantile_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_rad2deg_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_rand_like_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_randint_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_randint_like_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_randn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_randn_like_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_ravel_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_real_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_reciprocal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_remainder_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_renorm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_repeat_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_repeat_interleave_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_reshape_as_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_reshape_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_resize__cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_resize_as__cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_resolve_conj_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_resolve_neg_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_roll_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_rot90_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_round_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_round_decimals_0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_round_decimals_3_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_round_decimals_neg_3_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_rsqrt_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_rsub_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_scalar_tensor_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_scatter_add_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_scatter_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_scatter_reduce_amax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_scatter_reduce_amin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_scatter_reduce_mean_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_scatter_reduce_prod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_scatter_reduce_sum_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_searchsorted_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_select_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_select_scatter_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sgn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_short_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sigmoid_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sign_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_bartlett_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_blackman_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_cosine_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_exponential_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_gaussian_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_general_cosine_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_general_hamming_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_hamming_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_hann_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_kaiser_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_nuttall_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signbit_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sinc_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sinh_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_slice_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_slice_scatter_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_softmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_softmax_with_dtype_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sort_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sparse_mm_reduce_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sparse_sampled_addmm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_airy_ai_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_bessel_j0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_bessel_j1_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_bessel_y0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_bessel_y1_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_chebyshev_polynomial_t_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_chebyshev_polynomial_u_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_chebyshev_polynomial_v_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_chebyshev_polynomial_w_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_entr_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_erfcx_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_hermite_polynomial_h_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_hermite_polynomial_he_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_i0e_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_i1_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_i1e_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_laguerre_polynomial_l_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_legendre_polynomial_p_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_log_ndtr_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_modified_bessel_i0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_modified_bessel_i1_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_modified_bessel_k0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_modified_bessel_k1_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_ndtr_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_ndtri_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_scaled_modified_bessel_k0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_scaled_modified_bessel_k1_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_spherical_bessel_j0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_xlog1py_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_zeta_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_split_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_split_list_args_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_split_with_sizes_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_split_with_sizes_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sqrt_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_square_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_squeeze_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_squeeze_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_squeeze_multiple_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_stack_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_std_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_std_mean_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_std_mean_unbiased_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_std_unbiased_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_stft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sub_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sum_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sum_to_size_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_svd_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_svd_lowrank_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_t_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_t_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_take_along_dim_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_take_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tan_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tanh_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tensor_split_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tensordot_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tile_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_to_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_to_sparse_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_topk_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_torch__scaled_mm_cpu_float8_e4m3fn, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_trace_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_transpose_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_transpose_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_trapezoid_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_trapz_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_triangular_solve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tril_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tril_indices_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_triu_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_triu_indices_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_true_divide_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_trunc_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unbind_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unbind_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unflatten_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unfold_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unfold_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_uniform_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unique_consecutive_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unique_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unravel_index_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsafe_chunk_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsafe_split_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsqueeze_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsqueeze_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_mean_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_mean_unbiased_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_unbiased_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_vdot_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_as_complex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_as_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_as_real_cpu_complex64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_vsplit_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_vstack_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_where_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_xlogy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_zero__cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_zeros_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_zeros_like_cpu_float32 2025-08-26T21:05:25.5125837Z 2025-08-26T21:05:28.4003320Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:05:28.4006657Z import pkg_resources 2025-08-26T21:05:28.5330324Z Running functorch/test_ops 3/8 ... [2025-08-26 21:05:28.532086] 2025-08-26T21:05:28.5331195Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:05:28.5333361Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=3', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:05:28.532526] 2025-08-26T21:05:52.7238447Z 2025-08-26T21:05:52.7240025Z test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_foreach_1.1_a6c03f7bbf45a0aa_.log 2025-08-26T21:05:53.0560884Z Running 3577 items in this shard: test/test_foreach.py::TestForeachCPU::test_0dim_tensor_overload_cpu_ok_cpu, test/test_foreach.py::TestForeachCPU::test_0dim_tensor_overload_exception_cpu, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float32, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int32, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int8, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_abs_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_acos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_add_cpu_float32, 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test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_uint8 2025-08-26T21:05:53.3348909Z 2025-08-26T21:05:57.2378611Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:05:57.2382147Z import pkg_resources 2025-08-26T21:05:57.4126203Z Running functorch/test_ops 5/8 ... [2025-08-26 21:05:57.412177] 2025-08-26T21:05:57.4127844Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:05:57.4130834Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=5', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:05:57.412611] 2025-08-26T21:13:55.0674266Z 2025-08-26T21:13:55.0761753Z functorch/test_ops 1/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.8_cd37d322b95846ee_.log 2025-08-26T21:13:55.1942317Z Running 1271 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_data_write_errors_under_transform_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_cross_entropy_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_l1_loss_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_log_softmax_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_mse_loss_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_argmax_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_floor_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_floor_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_lt_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_conj_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_contiguous_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_flatten_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_hsplit_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_split_list_args_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_split_list_args_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_reshape_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_neg_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unsqueeze_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unsqueeze_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_amin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_block_diag_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_broadcast_to_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cdouble_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_inverse_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cross_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumulative_trapezoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_permuted_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfinv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fill_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ge_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histogram_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_int_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isfinite_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isposinf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_unary_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lerp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lgamma_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cholesky_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cond_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cross_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_householder_product_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_factor_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_svd_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_softmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_and_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matmul_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_binary_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_multinomial_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_3_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_channel_shuffle_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_no_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_bag_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_instance_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_kl_div_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool1d_grad_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_head_attention_forward_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pdist_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_scaled_dot_product_attention_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_threshold_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nonzero_static_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_fro_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ops_aten_index_put_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_outer_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_positive_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_as_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scalar_tensor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sgn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_hamming_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sparse_sampled_addmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_airy_ai_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_v_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i1e_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_ndtr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sqrt_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_mean_unbiased_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsafe_split_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_argmin_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_div_no_rounding_mode_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_isnan_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyCubeAutogradFunction_cpu_float32 2025-08-26T21:13:55.3039675Z 2025-08-26T21:13:56.3254813Z Uploading artifacts took 1.25 seconds 2025-08-26T21:13:59.8845300Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:13:59.8848638Z import pkg_resources 2025-08-26T21:14:00.1019252Z Running functorch/test_ops 7/8 ... [2025-08-26 21:14:00.101458] 2025-08-26T21:14:00.1021915Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:14:00.1024830Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:14:00.101941] 2025-08-26T21:14:39.2836935Z 2025-08-26T21:14:39.2837861Z functorch/test_ops 3/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_3.8_0acab458b388f2bf_.log 2025-08-26T21:14:39.3362168Z Running 1295 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_layer_norm_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_softmax_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ceil_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_grad_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_solve_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_amax_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_amin_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_argmax_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_argmin_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_ge_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_lt_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_minimum_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_minimum_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_sort_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_sort_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_diagonal_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_expand_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_flatten_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_special_grad_op_vjp_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_squeeze_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_squeeze_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_squeeze_multiple_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unflatten_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unflatten_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_as_complex_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyTakeAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___getitem___functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___radd___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__unsafe_masked_index_put_accumulate_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_allclose_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_angle_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_baddbmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_broadcast_tensors_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_chunk_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_complex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cosh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_no_rounding_mode_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_trunc_rounding_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fftshift_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifftshift_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gt_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_put_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_4inputs_with_extra_args_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cholesky_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_hermitian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_norm_subgradients_at_zero_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vander_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linspace_tensor_overload_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logaddexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_cumsum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_logaddexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_select_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mode_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_neg_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_empty_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_zeros_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_padding_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_ctc_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_glu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardsigmoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardswish_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_linear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_trilinear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mish_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_nll_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_replicate_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_smooth_l1_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_soft_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ravel_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resize_as__cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rot90_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_neg_3_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_searchsorted_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_exponential_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_slice_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sparse_mm_reduce_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_y1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_hermite_polynomial_he_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_legendre_polynomial_p_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_scaled_modified_bessel_k0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_w_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_zeta_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sum_to_size_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_along_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tensordot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tile_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tril_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_triu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vdot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_as_complex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zeros_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_conj_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_svdvals_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cholesky_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32 2025-08-26T21:14:39.4224408Z 2025-08-26T21:14:43.3294652Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:14:43.3297966Z import pkg_resources 2025-08-26T21:14:43.4535314Z Running test_openmp 1/1 ... [2025-08-26 21:14:43.453132] 2025-08-26T21:14:43.4536522Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:14:43.4539044Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_openmp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:14:43.453574] 2025-08-26T21:14:55.7139511Z 2025-08-26T21:14:55.7141526Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_923d2c909a2be81c_.log 2025-08-26T21:14:55.7143487Z Running 2 items in this shard: test/test_openmp.py::TestOpenMP_ParallelFor::test_n_threads, test/test_openmp.py::TestOpenMP_ParallelFor::test_one_thread 2025-08-26T21:14:55.7144533Z 2025-08-26T21:14:59.8940786Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:14:59.8943640Z import pkg_resources 2025-08-26T21:15:00.1428420Z Running test_fx_experimental 1/1 ... [2025-08-26 21:15:00.142407] 2025-08-26T21:15:00.1430172Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:15:00.1433678Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_experimental.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:15:00.142988] 2025-08-26T21:16:39.2235494Z 2025-08-26T21:16:39.2236930Z functorch/test_ops 5/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_5.8_ec5d224a69fbb7e7_.log 2025-08-26T21:16:39.3393986Z Running 1328 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_nll_loss_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_bool_raises_argmax_cpu_bool, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_bool_raises_argmin_cpu_bool, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_bool_raises_ceil_cpu_bool, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_maximum_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_dsplit_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_conj_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_neg_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_select_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_squeeze_multiple_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unfold_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atleast_1d_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_hypot_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_gelu_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logspace_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rdiv___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__segment_reduce_lengths_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_acosh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argsort_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bernoulli_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_byte_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ceil_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clone_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_combinations_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_constant_pad_nd_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cov_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exponential_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_geometric_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_grid_sampler_2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hash_tensor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_inner_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_int_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isreal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_kthvalue_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_inv_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lstsq_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_multi_dot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_hermitian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_qr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_triangular_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_tensorsolve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vecdot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vector_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logdet_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_not_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_median_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_median_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_meshgrid_variadic_tensors_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanquantile_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nansum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_alpha_dropout_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_no_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cross_entropy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_elu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_gelu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_huber_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bicubic_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_leaky_relu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_margin_ranking_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_circular_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_constant_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pairwise_distance_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_silu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softplus_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_tanhshrink_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_nuc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polar_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pow_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randint_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reciprocal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_remainder_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resolve_neg_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_hamming_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signbit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_erfcx_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_hermite_polynomial_h_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_log_ndtr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_k1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_svd_lowrank_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_transpose_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unbind_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unflatten_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsafe_chunk_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsqueeze_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vsplit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_dstack_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_le_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_hardtanh_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpySortAutogradFunction_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_SortGenVmapAutogradFunction_cpu_float32 2025-08-26T21:16:39.4515475Z 2025-08-26T21:16:44.1425845Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:16:44.1428949Z import pkg_resources 2025-08-26T21:16:44.2659320Z Running torch_np/test_nep50_examples 1/1 ... [2025-08-26 21:16:44.265425] 2025-08-26T21:16:44.2660116Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:16:44.2665471Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_nep50_examples.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:16:44.265891] 2025-08-26T21:16:50.0403864Z 2025-08-26T21:16:50.0406262Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_e4eb8a88f36ee7a0_.log 2025-08-26T21:16:50.1794970Z Running 1573 items in this shard: test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_3j + array(3, complex64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_True + uint8(2), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array(1_0, float32) + 1e-14 == 1_0, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([0_1], float32) == float64(0_1), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([100], uint8) + 200, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 1, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 200, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 300, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + array(1, int64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + int64(1), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_0], float32) + 1e-14 == 1_0, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + 3, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + array(1_, float64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + float64(1_), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + int64(3), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_bool_(True) + 1, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(1) + 1j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(1) + 3e100, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(5) + 5j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int16(2) + 2, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int16(4) + 4j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int32(1) + 5j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(1) + 2, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(1) + 300, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(100) + 200, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar27_array27, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar28_array28, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar29_array29, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar30_array30, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar31_array31, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar32_array32, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar33_array33, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar34_array34, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar35_array35, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array10, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array11, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array12, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array13, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array14, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array15, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array16, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array17, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array9, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array18, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array19, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array20, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array21, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array22, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array23, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array24, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array25, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array26, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array0, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array1, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array2, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array3, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array4, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array5, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array6, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array8, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar27_array27, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar28_array28, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar29_array29, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar30_array30, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar31_array31, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar32_array32, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar33_array33, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar34_array34, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar35_array35, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array10, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array11, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array12, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array13, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array14, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array15, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array16, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array17, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array9, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array18, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array19, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array20, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array21, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array22, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array23, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array24, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array25, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array26, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array0, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array1, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array2, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array3, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array4, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array5, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array6, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array8, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar27_array27, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar28_array28, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar29_array29, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar30_array30, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar31_array31, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar32_array32, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar33_array33, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar34_array34, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar35_array35, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array10, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array11, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array12, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array13, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array14, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array15, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array16, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array17, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array9, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_2_0_array18, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_2_0_array19, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_2_0_array20, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_2_0_array21, 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test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_right_shift_scalar_True_array2, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_right_shift_scalar_True_array3, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_right_shift_scalar_True_array4, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_right_shift_scalar_True_array5, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_right_shift_scalar_True_array6, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_right_shift_scalar_True_array7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_right_shift_scalar_True_array8, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar27_array27, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar28_array28, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar29_array29, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar30_array30, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar31_array31, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar32_array32, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar33_array33, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar34_array34, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar35_array35, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_1_array10, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_1_array11, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_1_array12, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_1_array13, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_1_array14, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_1_array15, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_1_array16, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_1_array17, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_1_array9, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_2_0_array18, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_2_0_array19, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_2_0_array20, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_2_0_array21, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_2_0_array22, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_2_0_array23, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_2_0_array24, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_2_0_array25, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_2_0_array26, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_True_array0, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_True_array1, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_True_array2, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_True_array3, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_True_array4, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_True_array5, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_True_array6, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_True_array7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_subtract_scalar_True_array8, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar27_array27, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar28_array28, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar29_array29, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar30_array30, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar31_array31, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar32_array32, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar33_array33, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar34_array34, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar35_array35, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_1_array10, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_1_array11, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_1_array12, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_1_array13, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_1_array14, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_1_array15, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_1_array16, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_1_array17, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_1_array9, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_2_0_array18, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_2_0_array19, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_2_0_array20, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_2_0_array21, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_2_0_array22, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_2_0_array23, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_2_0_array24, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_2_0_array25, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_2_0_array26, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array0, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array1, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array2, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array3, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array4, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array5, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array6, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array8, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar27_array27_dtype27, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar28_array28_dtype28, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar29_array29_dtype29, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar30_array30_dtype30, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar31_array31_dtype31, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar32_array32_dtype32, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar33_array33_dtype33, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar34_array34_dtype34, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar35_array35_dtype35, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array10_dtype10, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array11_dtype11, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array12_dtype12, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array13_dtype13, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array14_dtype14, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array15_dtype15, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array16_dtype16, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array17_dtype17, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array9_dtype9, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array18_dtype18, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array19_dtype19, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array20_dtype20, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array21_dtype21, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array22_dtype22, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array23_dtype23, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array24_dtype24, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array25_dtype25, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array26_dtype26, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array0_dtype0, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array1_dtype1, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array2_dtype2, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array3_dtype3, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array4_dtype4, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array5_dtype5, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array6_dtype6, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array7_dtype7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array8_dtype8 2025-08-26T21:16:50.3146035Z 2025-08-26T21:16:53.7042565Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:16:53.7045584Z import pkg_resources 2025-08-26T21:16:53.8286230Z Running test_module_tracker 1/1 ... [2025-08-26 21:16:53.828229] 2025-08-26T21:16:53.8286975Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:16:53.8289407Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_module_tracker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:16:53.828605] 2025-08-26T21:16:57.4068625Z 2025-08-26T21:16:57.4070196Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_3587d135b2005e17_.log 2025-08-26T21:16:57.4071894Z Running 3 items in this shard: test/test_module_tracker.py::TestModuleTracker::test_bw_detection, test/test_module_tracker.py::TestModuleTracker::test_confused_hierarchy, test/test_module_tracker.py::TestModuleTracker::test_module_hierarchy 2025-08-26T21:16:57.4073712Z 2025-08-26T21:16:59.2598692Z 2025-08-26T21:16:59.2599566Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_b415f8d5194e2b34_.log 2025-08-26T21:16:59.3067803Z Running 724 items in this shard: test/test_fx_experimental.py::TestFXExperimental::test_annotate_getitem_node, test/test_fx_experimental.py::TestFXExperimental::test_annotate_returns_with_schema, test/test_fx_experimental.py::TestFXExperimental::test_aot_based_partition, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_no_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_empty_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_multiline_message, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_mixed_dtype, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_not_running_state, test/test_fx_experimental.py::TestFXExperimental::test_cost_aware_partition, test/test_fx_experimental.py::TestFXExperimental::test_fetch, test/test_fx_experimental.py::TestFXExperimental::test_find_single_partition, test/test_fx_experimental.py::TestFXExperimental::test_lack_of_devices, test/test_fx_experimental.py::TestFXExperimental::test_large_node_error, test/test_fx_experimental.py::TestFXExperimental::test_merge_matmuls, test/test_fx_experimental.py::TestFXExperimental::test_meta_tracer, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args_perserve_type, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args_preserve_meta, test/test_fx_experimental.py::TestFXExperimental::test_normalize_binary_operators, test/test_fx_experimental.py::TestFXExperimental::test_normalize_modules_exhaustive, test/test_fx_experimental.py::TestFXExperimental::test_optimize_for_inference_cpu, test/test_fx_experimental.py::TestFXExperimental::test_optimize_for_inference_cpu_torchvision, test/test_fx_experimental.py::TestFXExperimental::test_partition_device_mapping, test/test_fx_experimental.py::TestFXExperimental::test_partition_latency, test/test_fx_experimental.py::TestFXExperimental::test_partition_node_manipulation, test/test_fx_experimental.py::TestFXExperimental::test_replace_target_nodes_with, test/test_fx_experimental.py::TestFXExperimental::test_saturate_host, test/test_fx_experimental.py::TestFXExperimental::test_size_based_partition, test/test_fx_experimental.py::TestFXExperimental::test_sparse_nn_partition, test/test_fx_experimental.py::TestFXExperimental::test_split_module_dead_code, test/test_fx_experimental.py::TestFXExperimental::test_split_module_default_arg, test/test_fx_experimental.py::TestFXExperimental::test_split_module_input_names, test/test_fx_experimental.py::TestFXExperimental::test_split_module_keep_original_order_and_noop_graph, test/test_fx_experimental.py::TestFXExperimental::test_split_module_kwargs_expansion, test/test_fx_experimental.py::TestFXExperimental::test_split_module_return_node, test/test_fx_experimental.py::TestFXExperimental::test_split_module_symint_dependency_handling, test/test_fx_experimental.py::TestFXExperimental::test_split_qualname_mapping, test/test_fx_experimental.py::TestFXExperimental::test_subgraph_creation, test/test_fx_experimental.py::TestFXExperimental::test_subgraph_trivial_resnet, test/test_fx_experimental.py::TestFXExperimental::test_subgraph_uniquename, test/test_fx_experimental.py::TestFXExperimental::test_to_folder, test/test_fx_experimental.py::TestFXExperimental::test_traceable_function_with_nonstandard_name, test/test_fx_experimental.py::TestFXExperimental::test_type_matches, test/test_fx_experimental.py::TestTranslationValidation::test_sat, test/test_fx_experimental.py::TestTranslationValidation::test_sat_bitwise, test/test_fx_experimental.py::TestTranslationValidation::test_sympy_to_z3, test/test_fx_experimental.py::TestTranslationValidation::test_unsat, test/test_fx_experimental.py::TestTranslationValidation::test_z3str, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_args_op_overload_cpu, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_H_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_T_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___getitem___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___radd___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rdiv___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rmatmul___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rmod___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rmul___cpu_float32, 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test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_i1_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_i1e_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_log_ndtr_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_ndtr_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_ndtri_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_xlog1py_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_special_zeta_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_split_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_split_list_args_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_split_with_sizes_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_split_with_sizes_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_sqrt_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_square_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_squeeze_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_squeeze_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_squeeze_multiple_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_stack_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_std_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_std_mean_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_std_mean_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_std_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_stft_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_sub_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_sum_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_sum_to_size_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_svd_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_svd_lowrank_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_t_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_t_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_take_along_dim_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_take_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tan_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tanh_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tensor_split_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tensordot_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tile_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_to_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_to_sparse_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_topk_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_trace_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_transpose_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_transpose_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_trapezoid_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_trapz_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_triangular_solve_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tril_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_triu_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_true_divide_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_trunc_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unbind_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unbind_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unflatten_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unfold_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unfold_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_uniform_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unique_consecutive_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unique_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsafe_chunk_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsafe_split_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsqueeze_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsqueeze_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_mean_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vdot_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_as_complex_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_as_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vsplit_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vstack_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_where_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_xlogy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zero__cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zeros_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zeros_like_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_quantized_eb_cpu 2025-08-26T21:16:59.3456050Z 2025-08-26T21:17:00.6779452Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:17:00.6782336Z import pkg_resources 2025-08-26T21:17:00.8019015Z Running test_ops 1/8 ... [2025-08-26 21:17:00.801496] 2025-08-26T21:17:00.8019701Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:17:00.8021950Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:17:00.801855] 2025-08-26T21:17:02.4460814Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:17:02.4462376Z import pkg_resources 2025-08-26T21:17:02.5694558Z Running test_ops 4/8 ... [2025-08-26 21:17:02.569064] 2025-08-26T21:17:02.5695241Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:17:02.5697829Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=4', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:17:02.569453] 2025-08-26T21:25:45.8090755Z 2025-08-26T21:25:45.8092352Z functorch/test_ops 7/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_7.8_ee4881d0cada9d0f_.log 2025-08-26T21:25:45.9276547Z Running 1307 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_grad_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_ceil_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_ceil_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_lt_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_maximum_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_expand_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_unbind_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_mT_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_narrow_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_select_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_special_grad_op_jvp_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_H_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ScaleGradGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___getitem___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rsub___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__softmax_backward_data_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_acos_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmm_decomposed_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_aminmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_partial_views_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atanh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_byte_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cartesian_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_char_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_conj_physical_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumprod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_digamma_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_eq_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_power_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_floor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_frac_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gather_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_heaviside_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histogramdd_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hsplit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hstack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_fill_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_2inputs_2outputs_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ldexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigvals_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lstsq_grad_oriented_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linspace_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log10_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_softmax_with_dtype_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lt_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mT_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_softmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_std_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_sum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_var_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_maximum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_no_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_minimum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanmean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanmedian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_dropout_backward_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_batch_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cosine_similarity_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardshrink_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bilinear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool3d_grad_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mse_loss_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pixel_unshuffle_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_unfold_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pinverse_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rand_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_roll_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_sum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_select_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_blackman_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_gaussian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_cosine_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_j0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_y0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_w_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_entr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_laguerre_polynomial_l_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_t_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_spherical_bessel_j0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_list_args_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tan_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trunc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unbind_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_mean_unbiased_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_as_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zeros_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_clamp_max_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyTakeAutogradFunction_cpu_float32 2025-08-26T21:25:46.0214525Z 2025-08-26T21:25:50.3928561Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:25:50.3931716Z import pkg_resources 2025-08-26T21:25:50.5748957Z Running test_ops 5/8 ... [2025-08-26 21:25:50.573708] 2025-08-26T21:25:50.5749683Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:25:50.5751639Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=5', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:25:50.574163] 2025-08-26T21:25:54.0661209Z 2025-08-26T21:25:54.0662346Z test_ops 1/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.8_9278c37992fd7a76_.log 2025-08-26T21:25:54.2274879Z Running 4308 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu___getitem___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmatmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__batch_norm_with_update_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_int_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_flip_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fliplr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_log_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_narrow_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_new_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_vsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__unsafe_masked_index_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_baddbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_block_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cauchy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cholesky_inverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_corrcoef_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cummin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_double_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_geometric_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_grid_sampler_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_solve_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_lu_unpack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_pinverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_rand_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scalar_tensor_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_svd_lowrank_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_to_sparse_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_triangular_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unique_cpu_float32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_H_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_as_strided_scatter_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_cat_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_chunk_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_conj_physical_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_contiguous_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_double_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_eq_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_isreal_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_linalg_diagonal_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_mH_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_neg_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_new_zeros_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_repeat_interleave_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_select_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_slice_cpu_complex32, test/test_ops.py::TestCommonCPU::test_dtypes___rsub___cpu, test/test_ops.py::TestCommonCPU::test_dtypes__native_batch_norm_legit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_complex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_float_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_acosh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_addcmul_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_addr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_arange_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_atleast_1d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_chunk_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_conj_physical_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cosh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_dot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_dsplit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_empty_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_equal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_expand_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_fftshift_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_ifft2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_ifftshift_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_irfftn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_rfft2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fill_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fliplr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_hypot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_igamma_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_index_add_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_lgamma_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_linalg_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_log2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_log_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nan_to_num_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_alpha_dropout_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_channel_shuffle_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_group_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_hardtanh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_layer_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_smooth_l1_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_normal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_pow_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_randn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_reshape_as_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_rsub_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_bessel_j0_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_entr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_erfcx_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_multigammaln_mvlgamma_p_1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_take_along_dim_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_tensor_split_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_triu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_unfold_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_unsqueeze_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_view_as_complex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__unsafe_masked_index_put_accumulate_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_abs_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_addcmul_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_addmm_decomposed_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_asin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bmm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bool_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_chalf_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_clamp_max_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_clone_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_combinations_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_constant_pad_nd_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cross_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_diagonal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_empty_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_equal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_expand_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_eye_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fft_hfft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fft_ifft2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_flipud_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_floor_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fmax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_frexp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_index_reduce_amax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_int_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_isinf_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_cholesky_ex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_cond_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_diagonal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_ldl_solve_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_lu_factor_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_qr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_solve_ex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_vector_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logaddexp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logspace_tensor_overload_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_logsumexp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_select_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_softmax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_meshgrid_variadic_tensors_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_minimum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_mvlgamma_mvlgamma_p_1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nanquantile_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_native_dropout_backward_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_new_empty_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_adaptive_avg_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_adaptive_max_pool1d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_adaptive_max_pool2d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_conv_transpose3d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_ctc_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_feature_alpha_dropout_with_train_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_grid_sample_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_interpolate_bicubic_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_interpolate_nearest_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_logsigmoid_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_max_unpool1d_grad_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pad_constant_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pad_replicate_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pad_replicate_negative_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pdist_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_silu_complex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_smooth_l1_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_softmin_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_softplus_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_tanhshrink_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_unfold_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_upsample_bilinear_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nonzero_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_ormqr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_polygamma_polygamma_n_2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_resolve_conj_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_round_decimals_3_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_scatter_add_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_scatter_reduce_amin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_scatter_reduce_mean_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signal_windows_bartlett_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signal_windows_general_hamming_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_sinh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_sparse_mm_reduce_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_chebyshev_polynomial_u_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_chebyshev_polynomial_w_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_laguerre_polynomial_l_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_modified_bessel_i0_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_sqrt_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_squeeze_multiple_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_svd_lowrank_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_to_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unfold_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unsqueeze_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_var_unbiased_cpu, test/test_ops.py::TestCommonCPU::test_errors___rmul___cpu, test/test_ops.py::TestCommonCPU::test_errors___ror___cpu, test/test_ops.py::TestCommonCPU::test_errors_cauchy_cpu, test/test_ops.py::TestCommonCPU::test_errors_empty_permuted_cpu, test/test_ops.py::TestCommonCPU::test_errors_eq_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_hfft2_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_rfftn_cpu, test/test_ops.py::TestCommonCPU::test_errors_fliplr_cpu, test/test_ops.py::TestCommonCPU::test_errors_float_power_cpu, test/test_ops.py::TestCommonCPU::test_errors_geometric_cpu, test/test_ops.py::TestCommonCPU::test_errors_heaviside_cpu, test/test_ops.py::TestCommonCPU::test_errors_hypot_cpu, test/test_ops.py::TestCommonCPU::test_errors_ldexp_cpu, test/test_ops.py::TestCommonCPU::test_errors_linalg_cross_cpu, test/test_ops.py::TestCommonCPU::test_errors_logcumsumexp_cpu, test/test_ops.py::TestCommonCPU::test_errors_logical_or_cpu, test/test_ops.py::TestCommonCPU::test_errors_masked_select_cpu, test/test_ops.py::TestCommonCPU::test_errors_mul_cpu, test/test_ops.py::TestCommonCPU::test_errors_multinomial_cpu, test/test_ops.py::TestCommonCPU::test_errors_neg_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_multi_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_multilabel_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_triplet_margin_with_distance_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_renorm_cpu, test/test_ops.py::TestCommonCPU::test_errors_reshape_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_exponential_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_sum_layout1_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_sum_layout4_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_xlog1py_cpu, test/test_ops.py::TestCommonCPU::test_errors_sum_to_size_cpu, test/test_ops.py::TestCommonCPU::test_errors_take_cpu, test/test_ops.py::TestCommonCPU::test_errors_triu_cpu, test/test_ops.py::TestCommonCPU::test_errors_view_copy_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch__chunk_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_acosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_atan_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ceil_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_clamp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_clamp_min_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_digamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_erf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_exp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_hash_tensor_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_histogram_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_kthvalue_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_not_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_narrow_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_norm_nuc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_outer_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_entr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i0e_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_square_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_view_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_where_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___getitem___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___radd___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rdiv___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmod___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___ror___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rxor___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__softmax_backward_data_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_acos_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_acos_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_decomposed_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_all_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bfloat16_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdouble_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cfloat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_copysign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cosh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diff_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_dstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_floor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ge_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_half_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_heaviside_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_inner_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isclose_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isneginf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isneginf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isreal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_kthvalue_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_eigh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_slogdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logcumsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_and_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_and_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mT_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_matmul_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nan_to_num_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanmedian_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_native_dropout_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_zeros_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_gelu_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_circular_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_unshuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_selu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softsign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_tanhshrink_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_loss_cpu_float32, 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test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unsqueeze_copy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_var_unbiased_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_view_as_complex_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_zeros_like_cpu_float32, test/test_ops.py::TestMathBitsCPU::test_conj_view___rmul___cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_T_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_bfloat16_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_cdouble_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_alias_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_allclose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_any_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_atleast_1d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_atleast_3d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_column_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_conj_physical_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_diag_embed_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_diagonal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_diagonal_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_dstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_empty_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_flipud_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_isfinite_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_logaddexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_logical_xor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_new_empty_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_ones_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_ravel_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_renorm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_rot90_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_squeeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_squeeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_tensor_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_to_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_tril_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_var_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_vstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_as_strided_partial_views_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_block_diag_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_byte_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diag_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_exp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_expand_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_expand_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_expm1_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_irfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_flatten_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_flipud_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_gather_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isreal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_kron_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cross_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eig_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_inv_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_hermitian_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log10_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logcumsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logical_not_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logspace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mT_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_normalize_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_neg_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_l1_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pixel_shuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_permute_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pinverse_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_positive_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_qr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_repeat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_repeat_interleave_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rsqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_square_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_mean_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_view_as_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_zeros_like_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_half_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_short_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_acosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atleast_2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_constant_pad_nd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_count_nonzero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_eq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_irfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_flatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_flip_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isinf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_svd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_zeros_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_l1_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_permute_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_repeat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sigmoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_trace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unbind_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unflatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_any_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_asin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diff_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_double_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_einsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_eq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_equal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_int_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isnan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_kron_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lerp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_cond_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_det_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_inv_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_factor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lstsq_grad_oriented_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lu_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_pinv_hermitian_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_narrow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_constant_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nonzero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_normal_in_place_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_qr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resolve_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sgn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_svd_lowrank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_t_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trapz_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsafe_chunk_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsafe_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsqueeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_where_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view_T_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___radd___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rsub___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_any_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_asinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ceil_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_chunk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_column_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_physical_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_eye_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_hfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_rfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fliplr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isfinite_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_le_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logaddexp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_masked_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_native_layer_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_neg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_glu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_mish_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_mse_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_prelu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reshape_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_bessel_j1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_i1e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_ndtr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_multiple_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tensor_split_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unfold_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_acos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addcdiv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cauchy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cdouble_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cholesky_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_copysign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_trunc_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expand_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_eye_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_irfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_grid_sampler_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_inner_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isneginf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eig_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eigh_cpu_float64, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_cdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_cholesky_inverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_empty_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_eq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fft_fftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_flip_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_heaviside_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_histc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_histogramdd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isneginf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isreal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logical_xor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_remainder_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_entr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_torch__scaled_mm_cpu_float8_e4m3fn, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_acosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addmm_decomposed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_angle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_hfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_grid_sampler_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_half_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___getitem___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rmatmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_partial_views_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_eq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_geqrf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_xor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_multinomial_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unique_consecutive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___getitem___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__batch_norm_with_update_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_any_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bool_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_char_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_contiguous_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_imag_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_not_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_narrow_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nonzero_static_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_xlogy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int8, test/test_ops.py::TestTagsCPU::test_tags___rpow___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_int_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_addcdiv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_addcmul_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_clamp_min_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_clone_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_constant_pad_nd_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cos_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cosh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_dsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_erfc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_exp2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_exp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_ihfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_flip_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_item_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_lcm_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_native_layer_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_softplus_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_normal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_ones_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_real_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_bessel_j1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_xlog1py_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sqrt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_square_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_squeeze_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_std_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_t_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_unflatten_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_vsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__softmax_backward_data_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_addr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_argmin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_asin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_atleast_2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_bitwise_left_shift_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_block_diag_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_bmm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cholesky_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_clamp_min_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_conj_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cos_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cummax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diag_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diag_embed_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_dstack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_empty_permuted_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_equal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_exp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_fft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_ihfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_flip_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_float_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ge_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_grid_sampler_3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_histogram_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_igammac_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_reduce_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ldexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_le_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lerp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_det_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_tensorinv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_log_softmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lu_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lu_unpack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_cumprod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_logaddexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_logsumexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_normalize_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_var_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_matrix_exp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nanquantile_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_native_batch_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_neg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_new_empty_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_new_ones_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_relu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_selu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_silu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nonzero_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_norm_fro_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ones_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_resolve_neg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sign_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_blackman_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sinh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_slice_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_bessel_y0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_split_list_args_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_squeeze_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_stack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_std_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tan_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tile_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_transpose_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_trunc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unbind_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_uniform_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_var_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_var_unbiased_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_zeros_like_cpu_float32 2025-08-26T21:25:54.3773452Z 2025-08-26T21:25:57.3296634Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:25:57.3298219Z import pkg_resources 2025-08-26T21:25:57.4553992Z Running test_ops 7/8 ... [2025-08-26 21:25:57.455026] 2025-08-26T21:25:57.4554768Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:25:57.4557259Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:25:57.455410] 2025-08-26T21:26:27.5479134Z 2025-08-26T21:26:27.5480208Z test_ops 4/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.8_68e281cc360bf2a3_.log 2025-08-26T21:26:27.6983404Z Running 4238 items in this shard: test/test_ops.py::TestSelfKwarg::test_self_kwargs, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_byte_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_chalf_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_atleast_1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_atleast_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_atleast_3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_bitwise_right_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_diag_embed_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_diagonal_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_igamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_istft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_rsub_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_special_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_special_zeta_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_view_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__softmax_backward_data_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_argsort_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bernoulli_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_complex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_gather_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_geqrf_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_gradient_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_histc_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_householder_product_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nextafter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_ones_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_randint_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_repeat_interleave_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_resolve_conj_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_shifted_chebyshev_polynomial_u_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_dsplit_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_hstack_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_mT_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_new_ones_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_ones_like_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_permute_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_positive_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_resolve_neg_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_scalar_tensor_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_tril_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_triu_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_vsplit_cpu_complex32, test/test_ops.py::TestCommonCPU::test_dtypes_T_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__batch_norm_with_update_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_amin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_any_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_as_strided_partial_views_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_bitwise_not_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_bitwise_right_shift_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_broadcast_to_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cat_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cauchy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_count_nonzero_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_div_floor_rounding_cpu, 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test/test_ops.py::TestCommonCPU::test_dtypes_fft_ifft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fft_ihfft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fft_irfft2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fft_irfft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_histogramdd_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_hypot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_index_put_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_item_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_kron_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_le_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_lerp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_det_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_eigvalsh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_lstsq_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_matrix_rank_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_norm_subgradients_at_zero_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_pinv_hermitian_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_pinv_singular_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_solve_triangular_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_svd_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_svdvals_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_log_softmax_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logcumsumexp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logdet_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_logaddexp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_max_pool2d_with_indices_backward_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_min_reduction_with_dim_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_mode_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_adaptive_max_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_avg_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_conv3d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_conv_transpose1d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_glu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_hardshrink_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_hardswish_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_huber_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_max_pool2d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pairwise_distance_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_relu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_polygamma_polygamma_n_0_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_qr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_reciprocal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_resolve_neg_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_rot90_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_select_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_select_scatter_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_sign_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signal_windows_gaussian_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_hermite_polynomial_he_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_log_ndtr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_modified_bessel_i1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_modified_bessel_k0_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_shifted_chebyshev_polynomial_w_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_split_with_sizes_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_squeeze_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_take_along_dim_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_tensordot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_tile_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_transpose_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_tril_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_view_as_complex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_view_as_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_zero__cpu, test/test_ops.py::TestCommonCPU::test_errors_T_cpu, test/test_ops.py::TestCommonCPU::test_errors___rsub___cpu, test/test_ops.py::TestCommonCPU::test_errors___rxor___cpu, test/test_ops.py::TestCommonCPU::test_errors__chunk_cat_cpu, test/test_ops.py::TestCommonCPU::test_errors_arange_cpu, test/test_ops.py::TestCommonCPU::test_errors_bitwise_right_shift_cpu, test/test_ops.py::TestCommonCPU::test_errors_clamp_min_cpu, test/test_ops.py::TestCommonCPU::test_errors_diagonal_cpu, test/test_ops.py::TestCommonCPU::test_errors_div_no_rounding_mode_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_hfft_cpu, test/test_ops.py::TestCommonCPU::test_errors_floor_divide_cpu, test/test_ops.py::TestCommonCPU::test_errors_fmod_cpu, test/test_ops.py::TestCommonCPU::test_errors_ge_cpu, test/test_ops.py::TestCommonCPU::test_errors_igammac_cpu, test/test_ops.py::TestCommonCPU::test_errors_jiterator_binary_cpu, test/test_ops.py::TestCommonCPU::test_errors_linalg_lstsq_cpu, test/test_ops.py::TestCommonCPU::test_errors_logical_xor_cpu, test/test_ops.py::TestCommonCPU::test_errors_masked_scatter_cpu, test/test_ops.py::TestCommonCPU::test_errors_nextafter_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_conv2d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_hinge_embedding_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_huber_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_rrelu_cpu, test/test_ops.py::TestCommonCPU::test_errors_remainder_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_hann_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_mul_layout0_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_sum_layout0_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_sum_layout3_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_zeros_like_layout3_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_zeros_like_layout4_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_chebyshev_polynomial_u_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_hermite_polynomial_he_cpu, test/test_ops.py::TestCommonCPU::test_errors_true_divide_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_bernoulli_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_bucketize_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cholesky_inverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cummax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_diff_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_erfc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_fft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_float_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_floor_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_i0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_isin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_le_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_tensorinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_vector_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_and_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lu_unpack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_matmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nanquantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_rsqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sort_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_squeeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tan_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_unbind_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_T_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addcdiv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addcmul_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_any_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_asinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_atanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bool_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_byte_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ceil_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cfloat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_chalf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_complex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_physical_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_contiguous_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_deg2rad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_deg2rad_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_erf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_erf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_erfinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_as_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_flatten_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fliplr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_frexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gather_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_histogram_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_item_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lcm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_householder_product_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_not_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_long_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_std_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_maximum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_list_of_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_movedim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_msort_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanquantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_native_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ne_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_neg_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_margin_ranking_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_negative_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_1_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_multiple_devices_sin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_k1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtri_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_scaled_modified_bessel_k0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_scaled_modified_bessel_k1_cpu_int64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_pinv_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_qr_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_tensorinv_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_vander_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linspace_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logspace_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_glu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_unshuffle_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_relu_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_loss_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_permute_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_polygamma_polygamma_n_0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_positive_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_positive_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pow_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_randint_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_randint_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ravel_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_remainder_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_repeat_interleave_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resolve_conj_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resolve_conj_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_round_decimals_0_cpu_float32, 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test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unbind_copy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unsafe_split_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_var_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_vsplit_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_where_cpu_float32, test/test_ops.py::TestMathBitsCPU::test_conj_view_H_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_chalf_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_double_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_acos_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_as_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_as_strided_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_asin_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_broadcast_tensors_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_cumsum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_dot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_dsplit_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fliplr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_index_select_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_isnan_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_log1p_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_masked_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_meshgrid_variadic_tensors_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_reshape_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_split_with_sizes_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_tanh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_transpose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_triu_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_true_divide_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_vdot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_addmv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_any_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_as_strided_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_atleast_3d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_broadcast_to_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cdouble_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_column_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cov_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cross_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diagonal_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diagonal_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_dist_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_dot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_empty_permuted_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_eye_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_fft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_fftshift_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_hfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_ifft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_full_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_gradient_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_add_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_select_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_int_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ldexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_lerp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_ldl_factor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_qr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log1p_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_lu_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_cumsum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_std_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_matrix_exp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv_transpose2d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv_transpose3d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_linear_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_circular_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_softmin_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_norm_fro_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_norm_nuc_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_resize__cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_roll_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sigmoid_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_t_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tensor_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trapezoid_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_uniform_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___radd___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rsub___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_long_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_allclose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_block_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_broadcast_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_conj_physical_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_equal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expm1_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_hfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_irfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_item_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_narrow_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_narrow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_tanhshrink_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_special_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_squeeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_stft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_take_along_dim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_to_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unfold_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_where_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_as_strided_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_asinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cholesky_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_chunk_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_conj_physical_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_contiguous_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cumprod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_irfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fliplr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_geqrf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isclose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_2inputs_2outputs_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ldexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_cholesky_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_matrix_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_matrix_rank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_svd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_vecdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logsumexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_cumsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_sum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_matrix_exp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_normalize_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_nuc_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_prod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_randn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_renorm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_rsub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_short_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sparse_sampled_addmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_split_with_sizes_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_squeeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_squeeze_multiple_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unbind_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_uniform_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view___getitem___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__batch_norm_with_update_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_bool_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_byte_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_cfloat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_chalf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_float_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_polar_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_abs_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_allclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atleast_3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_broadcast_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_div_floor_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_dstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_erf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expand_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_hfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_geometric_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_heaviside_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isposinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_lerp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_svd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log_normal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_movedim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nextafter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_channel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_elu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_layer_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_nll_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_poisson_nll_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_roll_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_rsqrt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_rsub_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_log_ndtr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_xlog1py_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_split_with_sizes_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_trunc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unsqueeze_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_view_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__softmax_backward_data_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_abs_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addmm_decomposed_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_argmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_argwhere_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atleast_1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atleast_3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cdist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cfloat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clamp_max_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_contiguous_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_corrcoef_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cosh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cov_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cross_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cummax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_digamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_einsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_eq_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_erfinv_cpu_float64, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_any_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_argwhere_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_as_strided_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_atan2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_bool_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_bucketize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_constant_pad_nd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_div_trunc_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fft_irfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_gcd_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ge_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_half_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_eigh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nonzero_static_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polar_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_bessel_y1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_triu_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unique_consecutive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bool_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_char_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rsub___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_abs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_as_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cfloat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_column_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_combinations_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_deg2rad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_irfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_hstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unsqueeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_acos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cdouble_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_trunc_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ifft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polar_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_view_as_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_eye_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_histc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_int_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_item_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_long_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_searchsorted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_as_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addmm_decomposed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_arange_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atan2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_baddbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bucketize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cauchy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cholesky_inverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_erfc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_geometric_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_half_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_igammac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_int_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isclose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isnan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_unary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eigh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_argmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_multinomial_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_gelu_cpu_float32, 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test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_as_real_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int32, test/test_ops.py::TestTagsCPU::test_tags___radd___cpu_float32, 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test/test_ops.py::TestTagsCPU::test_tags__refs_empty_like_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_empty_strided_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_eq_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_erfinv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_ifft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_igammac_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_imag_cpu_complex64, test/test_ops.py::TestTagsCPU::test_tags__refs_isposinf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_istft_cpu_complex64, test/test_ops.py::TestTagsCPU::test_tags__refs_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logical_or_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_new_ones_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_gelu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_relu6_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_relu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_normal__in_place_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_reciprocal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_reshape_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_i0e_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_logit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sum_to_size_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_tan_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_tril_indices_cpu_int64, 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test/test_ops.py::TestTagsCPU::test_tags_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_svd_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_maximum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_min_binary_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_movedim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_msort_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_mv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nanmean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ne_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_dropout_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_elu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_linear_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_relu6_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_softplus_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_normal_in_place_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_outer_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_randn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_roll_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_round_decimals_3_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_select_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_short_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_slice_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_softmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_entr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_squeeze_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sum_to_size_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_to_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_trapezoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_trapz_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tril_indices_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_var_mean_unbiased_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_vdot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_view_as_cpu_float32 2025-08-26T21:26:27.8436463Z 2025-08-26T21:26:31.0195559Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:26:31.0198524Z import pkg_resources 2025-08-26T21:26:31.1808727Z Running xpu/test_gemm 1/1 ... [2025-08-26 21:26:31.180294] 2025-08-26T21:26:31.1809526Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:26:31.1817251Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'xpu/test_gemm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:26:31.180726] 2025-08-26T21:26:35.4388433Z 2025-08-26T21:26:35.4389501Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_d66891d399fd7cd8_.log 2025-08-26T21:26:35.4391359Z Running 0 items in this shard: 2025-08-26T21:26:35.4391722Z 2025-08-26T21:26:39.1449419Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:26:39.1452915Z import pkg_resources 2025-08-26T21:26:39.2683162Z Running xpu/test_conv 1/1 ... [2025-08-26 21:26:39.267880] 2025-08-26T21:26:39.2684372Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:26:39.2690977Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'xpu/test_conv.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:26:39.268296] 2025-08-26T21:26:43.7885783Z 2025-08-26T21:26:43.7887081Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_cb253f7a08221b0b_.log 2025-08-26T21:26:43.7887868Z Running 0 items in this shard: 2025-08-26T21:26:43.7888065Z 2025-08-26T21:26:46.9412988Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:26:46.9416057Z import pkg_resources 2025-08-26T21:26:47.0642023Z Running test_stateless 1/1 ... [2025-08-26 21:26:47.063758] 2025-08-26T21:26:47.0642855Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:26:47.0645004Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_stateless.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:26:47.064160] 2025-08-26T21:26:56.8449354Z 2025-08-26T21:26:56.8450578Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_bb46797e4dcbd3f2_.log 2025-08-26T21:26:56.8475135Z Running 50 items in this shard: test/test_stateless.py::TestStatelessFunctionalAPI::test_circular_references_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_circular_references_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_batch_norm_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_batch_norm_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_member_reference_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_member_reference_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_multiple_dicts_error, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_tuple_dicts, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_error_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_error_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_gradient_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_gradient_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_jit_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_jit_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_kwargs_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_kwargs_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_in_place_operator_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_in_place_operator_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_module_fail_reset_to_original_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_module_fail_reset_to_original_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_some_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_some_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_special_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_special_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_some_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_some_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrized_module_change_parametrization_original_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrized_module_change_parametrization_original_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_errors_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_errors_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_no_error_without_flag, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_warns_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_warns_torch_func, test/test_stateless.py::TestStatelessDeprecation::test_private_stateless_warns, test/test_stateless.py::TestStatelessDeprecation::test_stateless_functional_call_warns, test/test_stateless.py::TestPythonOptimizeMode::test_runs_with_optimize_flag 2025-08-26T21:26:56.8497854Z 2025-08-26T21:27:00.8581402Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:27:00.8584455Z import pkg_resources 2025-08-26T21:27:01.0380824Z Running functorch/test_ac 1/1 ... [2025-08-26 21:27:01.037681] 2025-08-26T21:27:01.0381699Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:27:01.0386105Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:27:01.038268] 2025-08-26T21:27:08.3458493Z 2025-08-26T21:27:08.3459815Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_19e7b144ef53a872_.log 2025-08-26T21:27:08.3461070Z 2025-08-26T21:27:11.6636174Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:27:11.6638830Z import pkg_resources 2025-08-26T21:27:11.7880778Z Running distributions/test_constraints 1/1 ... [2025-08-26 21:27:11.787695] 2025-08-26T21:27:11.7881682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:27:11.7883880Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'distributions/test_constraints.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:27:11.788062] 2025-08-26T21:27:16.1099367Z 2025-08-26T21:27:16.1101249Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_cf638701bd5cf4d4_.log 2025-08-26T21:27:16.1162305Z Running 136 items in this shard: test/distributions/test_constraints.py::test_constraint[False-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[False-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[False-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[False-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[False-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[False-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[False-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[False-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[False-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[False-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[False-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[False-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[False-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[False-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[False-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[False-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[False-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[False-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_constraint[True-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[True-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[True-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[True-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[True-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[True-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[True-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[True-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[True-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[True-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[True-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[True-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[True-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[True-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[True-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[True-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[True-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[True-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn24-args24] 2025-08-26T21:27:16.1214704Z 2025-08-26T21:27:20.7248861Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:27:20.7251942Z import pkg_resources 2025-08-26T21:27:20.9248924Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-08-26 21:27:20.924409] 2025-08-26T21:27:20.9249908Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:27:20.9253196Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_ufuncs_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:27:20.924880] 2025-08-26T21:27:25.9982513Z 2025-08-26T21:27:25.9986495Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_1e94602334089301_.log 2025-08-26T21:27:26.0342298Z Running 371 items in this shard: test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_broadcast_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc15, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc16, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc2, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc3, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc4, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc5, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc6, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc7, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc8, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc9, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc15, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc16, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc2, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc3, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc4, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc5, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc6, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc7, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc8, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc9, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc15, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc16, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc2, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc3, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc4, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc5, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc6, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc7, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc8, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc9, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc10_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc10_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc10_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc11_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc11_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc11_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc12_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc12_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc12_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc13_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc13_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc13_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc14_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc14_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc14_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc15_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc15_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc15_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc16_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc16_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc1_out_dtype_float64, 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test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc7_out_dtype_complex128, 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test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc0_op0_iop0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc1_op1_iop1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc2_op2_iop2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc0_op0_iop0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc1_op1_iop1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc2_op2_iop2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestUfuncDtypeKwd::test_binary_ufunc_dtype, test/torch_np/test_ufuncs_basic.py::TestUfuncDtypeKwd::test_binary_ufunc_dtype_and_out 2025-08-26T21:27:26.0682792Z 2025-08-26T21:27:29.9842110Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:27:29.9845182Z import pkg_resources 2025-08-26T21:27:30.2488583Z Running test_out_dtype_op 1/1 ... [2025-08-26 21:27:30.248343] 2025-08-26T21:27:30.2489402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:27:30.2495319Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_out_dtype_op.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:27:30.249201] 2025-08-26T21:27:42.5862641Z 2025-08-26T21:27:42.5864033Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_fb01e6868f1c6e4a_.log 2025-08-26T21:27:42.5871869Z Running 12 items in this shard: test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_dynamo, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_inductor_decomp, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_inductor_decomp_trace, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_int_mm_default_trace, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_make_fx, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_mm_numerical, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_mul_scalar_numerical, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_no_autograd, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_non_functional, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_non_op_overload, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_op_functional, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_wrong_output 2025-08-26T21:27:42.5879293Z 2025-08-26T21:27:46.9180678Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:27:46.9182421Z import pkg_resources 2025-08-26T21:27:47.1175737Z Running test_ops_gradients 1/2 ... [2025-08-26 21:27:47.117255] 2025-08-26T21:27:47.1176203Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:27:47.1179795Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:27:47.117711] 2025-08-26T21:34:40.3029835Z 2025-08-26T21:34:40.3031055Z test_ops 5/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_5.8_5e71170454bca1fd_.log 2025-08-26T21:34:40.4913356Z Running 4243 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu___rmod___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___ror___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_bfloat16_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_bitwise_left_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_block_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_hypot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_new_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nextafter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_relu6_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_sum_to_size_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_unsqueeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_var_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_addcmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_as_strided_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bool_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bucketize_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_byte_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_diag_embed_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_expand_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_grid_sampler_3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_hypot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_log_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_movedim_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_mv_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_native_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_new_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_embedding_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_randn_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_reshape_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_slice_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_trace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unsafe_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unsqueeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_vdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_vsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_as_strided_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_block_diag_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_chalf_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_clone_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_conj_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_diagonal_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_float_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_isfinite_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_isinf_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_item_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_log_softmax_with_dtype_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_mul_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_randn_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_reshape_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_sgn_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_stack_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unsafe_split_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unsqueeze_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_vstack_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_zeros_like_cpu_complex32, test/test_ops.py::TestCommonCPU::test_dtypes___ror___cpu, test/test_ops.py::TestCommonCPU::test_dtypes___rxor___cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_bfloat16_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_char_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_addcdiv_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cos_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_deg2rad_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_diagonal_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_div_no_rounding_mode_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_erf_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_erfc_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_erfinv_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_exp2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_expand_as_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_hfft2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_float_power_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fmax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fmod_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_index_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_isfinite_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_linalg_vecdot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_linalg_vector_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_linspace_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_linspace_tensor_overload_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_log_softmax_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_logical_not_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_logical_xor_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_maximum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_meshgrid_list_of_tensors_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_softmax_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_normal__in_place_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_reshape_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_round_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_sigmoid_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_i1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_multigammaln_mvlgamma_p_5_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_squeeze_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_stack_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_sub_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_to_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_triu_indices_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_unbind_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_var_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_acos_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_allclose_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_argmax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_argwhere_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_as_strided_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_atleast_2d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cartesian_prod_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cauchy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cholesky_inverse_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_column_stack_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_conj_physical_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_count_nonzero_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_diag_embed_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_dstack_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_empty_like_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_empty_permuted_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_exp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fft_rfft2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fft_rfft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_flip_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fmin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fmod_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_full_like_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_geometric_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_grid_sampler_2d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_hash_tensor_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_imag_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_index_reduce_mean_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_isclose_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_isnan_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_isneginf_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_lgamma_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_log_softmax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logaddexp2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_lt_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_mT_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_argmin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_mean_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_softmin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_matrix_exp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_mm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_movedim_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_mvlgamma_mvlgamma_p_3_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nanmean_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_narrow_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_new_empty_strided_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_avg_pool2d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_bilinear_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_dropout2d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_dropout_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_kl_div_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_l1_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_max_unpool1d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_max_unpool3d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_mse_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_multi_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pad_circular_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pixel_shuffle_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_softsign_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_triplet_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_upsample_nearest_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_norm_fro_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_permute_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_rand_like_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_ravel_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_searchsorted_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signal_windows_blackman_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_bessel_y1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_chebyshev_polynomial_t_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_ndtr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_spherical_bessel_j0_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_split_with_sizes_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_square_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_squeeze_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_std_mean_unbiased_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_sum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_svd_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_take_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_tanh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_to_sparse_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_true_divide_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_var_mean_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_vdot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_view_as_real_cpu, test/test_ops.py::TestCommonCPU::test_errors_cov_cpu, test/test_ops.py::TestCommonCPU::test_errors_div_floor_rounding_cpu, test/test_ops.py::TestCommonCPU::test_errors_exponential_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_ifft_cpu, test/test_ops.py::TestCommonCPU::test_errors_hsplit_cpu, test/test_ops.py::TestCommonCPU::test_errors_index_select_cpu, test/test_ops.py::TestCommonCPU::test_errors_minimum_cpu, test/test_ops.py::TestCommonCPU::test_errors_narrow_copy_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_avg_pool1d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_conv1d_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_general_cosine_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_general_hamming_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_randn_like_layout0_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_chebyshev_polynomial_v_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_shifted_chebyshev_polynomial_t_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_zeta_cpu, test/test_ops.py::TestCommonCPU::test_errors_unbind_copy_cpu, test/test_ops.py::TestCommonCPU::test_errors_unbind_cpu, test/test_ops.py::TestCommonCPU::test_errors_xlogy_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_acos_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_asin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_baddbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_erfinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_expand_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_fft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_frexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_slice_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_bessel_y1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_take_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_unfold_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_var_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_vdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rpow___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rsub___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addbmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_allclose_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_aminmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bfloat16_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_combinations_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_constant_pad_nd_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_contiguous_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_dsplit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_einsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftshift_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_flip_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fliplr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_geometric_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_half_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_hash_tensor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_hsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_int_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isfinite_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_4inputs_with_extra_args_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ldexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_multi_dot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log10_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mT_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logsumexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_median_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mode_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mv_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_embedding_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_poisson_nll_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softplus_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nonzero_static_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_pow_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ravel_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_reshape_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize__cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_roll_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scalar_tensor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_short_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_blackman_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinc_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_erfcx_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_log_ndtr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_k0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_spherical_bessel_j0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_xlog1py_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_to_size_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensordot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_to_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_transpose_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_trapz_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_trapz_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tril_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_true_divide_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unbind_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unique_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsafe_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_view_as_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_view_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_vstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_T_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values___rand___cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values___rmul___cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_aminmax_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_asin_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_atan_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_char_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_clone_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_conj_physical_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_cos_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_diag_embed_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_diagonal_copy_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_diagonal_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_dstack_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_equal_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_erf_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_exp2_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_exp_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_fftn_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_hfftn_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_ifftshift_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_ihfft_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fliplr_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_float_power_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_i0_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_index_add_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_index_copy_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_isinf_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_isreal_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_item_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_jiterator_2inputs_2outputs_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_jiterator_unary_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_log1p_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_log2_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_mT_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_nan_to_num_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_ones_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_repeat_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_reshape_as_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_resolve_neg_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_rsqrt_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_sigmoid_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_bessel_j1_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_transpose_copy_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_unique_cpu_bool, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples___getitem___cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples___radd___cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_addcmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_addmv_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_alias_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_argsort_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_argwhere_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_argwhere_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_asin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_atan2_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_atan_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_bernoulli_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_bmm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_clamp_min_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_combinations_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diag_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diag_embed_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diff_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_no_rounding_mode_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_no_rounding_mode_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_double_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_eq_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_eq_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_erfinv_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fft_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fftn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfftn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fill_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_float_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_float_power_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_full_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_gather_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_gt_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_half_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_fill_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_put_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_int_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isclose_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_factor_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_slogdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_svdvals_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_tensorsolve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_vander_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log10_cpu_complex64, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_irfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_irfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_inner_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_kthvalue_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cholesky_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_inv_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logcumsumexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lu_unpack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_matmul_cpu_complex64, 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test/test_ops.py::TestCompositeComplianceCPU::test_operator_triangular_solve_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_operator_unbind_copy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_H_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_T_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay___rmod___cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay__batch_norm_with_update_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay__unsafe_masked_index_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_addmm_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_atleast_2d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_cat_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_count_nonzero_cpu_float32, 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test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_new_empty_strided_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_celu_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_prelu_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_norm_fro_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_normal_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_pinverse_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_positive_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_pow_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_qr_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_quantile_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_rad2deg_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_resolve_neg_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_signal_windows_blackman_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_signal_windows_hamming_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_sin_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_sinc_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_bessel_y0_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_log_ndtr_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_zeta_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_split_list_args_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_svd_lowrank_cpu_float32, 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test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_contiguous_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_expm1_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_fftshift_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_hfft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_ifftshift_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_irfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_flatten_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_hstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_index_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_cross_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_diagonal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_vecdot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_log2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_logsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_movedim_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_new_empty_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_repeat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sinh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unflatten_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unsqueeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_view_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_addcdiv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_addr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_all_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_asinh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_atleast_1d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_bmm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cholesky_inverse_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cholesky_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cos_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diagflat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_div_no_rounding_mode_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_double_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_exp2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_fftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_ifft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_irfftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_float_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_geqrf_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_hsplit_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isclose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_det_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eigvals_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_householder_product_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_slogdet_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_solve_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_tensorsolve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_vector_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_lu_unpack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_narrow_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv2d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv3d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_constant_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pairwise_distance_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nonzero_static_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_reshape_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rsub_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_scalar_tensor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_scatter_add_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sgn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_with_sizes_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_squeeze_multiple_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sub_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sum_to_size_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_take_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_transpose_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_triangular_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsafe_chunk_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_zeros_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rpow___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__chunk_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_char_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_acos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_addcmul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_broadcast_to_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_contiguous_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_div_no_rounding_mode_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_exp2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expand_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_eye_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_fftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isfinite_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isnan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_vector_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logical_not_cpu_complex128, 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test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_acosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addcmul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_div_no_rounding_mode_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expand_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_eye_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_irfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_gather_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_imag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_select_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_eig_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_householder_product_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lu_factor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_tensorinv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_or_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_xor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_unpack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_channel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv_transpose3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_replicate_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pairwise_distance_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_fro_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pca_lowrank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_permute_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_real_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_rot90_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unfold_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view_H_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rpow___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_cdouble_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_acosh_cpu_float64, 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test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_alpha_dropout_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_huber_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_selu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_smooth_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_threshold_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_permute_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_permute_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ravel_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_signbit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_bessel_j0_cpu_float64, 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test/test_ops.py::TestMathBitsCPU::test_neg_view_chalf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cumsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diagonal_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_dist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_erfc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_hfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_hfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ihfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_rfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_flip_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_flipud_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_float_power_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_geometric_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_hypot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_reduce_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_reduce_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_cond_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_solve_triangular_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vecdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logaddexp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logcumsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_log_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_meshgrid_variadic_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_movedim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nanquantile_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nansum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_narrow_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_full_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv_transpose3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_grid_sample_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_leaky_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_constant_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_rrelu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_softmin_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_normal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randn_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ravel_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_repeat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_reshape_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_resize_as__cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_cosine_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_chebyshev_polynomial_u_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_chebyshev_polynomial_w_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_u_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_zeta_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_split_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_stft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_tensordot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_to_sparse_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_trace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_transpose_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_trapz_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unbind_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unsafe_split_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_var_mean_unbiased_cpu_float64, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_bool_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_chalf_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_polar_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_addcmul__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_atan2__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_atan2_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_bitwise_and__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_ceil_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_clamp_min__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_diagonal_copy_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_dstack_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_empty_like_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_equal_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_erf__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_erfc_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_exp2__cpu, 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test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_index_fill_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_index_select_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_isinf_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_le__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_lerp__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_log10__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_log2_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_log_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_log_normal_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_logical_xor__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_native_group_norm_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_nn_functional_celu__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_nn_functional_hardshrink_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_nn_functional_leaky_relu_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_nn_functional_threshold__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_positive_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_rad2deg__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_reciprocal_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_remainder_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_repeat_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_signbit_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_special_erfcx_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_special_ndtr_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_special_spherical_bessel_j0_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_square_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_std_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_sub__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_sum_to_size_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_tan__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_to_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_tril_cpu, 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test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_bitwise_xor_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_broadcast_shapes_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_cat_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_contiguous_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_diag_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_exponential__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_exponential_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_fft_hfft_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_fft_hfftn_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_fft_ifft2_cpu, 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test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rdiv___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_floor_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ge_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_geometric_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_histogram_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_imag_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_unary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_le_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resize__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_blackman_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_y1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unique_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rmatmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___ror___cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addmv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_allclose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argwhere_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_asin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_xor_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_div_trunc_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_full_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_histogramdd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_item_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lerp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rand_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_int64, 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test/test_ops.py::TestTagsCPU::test_tags__refs_fmod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_frac_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_hsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_igamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_index_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_le_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_lgamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linalg_diagonal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log10_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logaddexp2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logspace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logspace_tensor_overload_cpu_float32, 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test/test_ops.py::TestTagsCPU::test_tags_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pdist_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_normal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_polar_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_renorm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_reshape_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_round_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_searchsorted_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_hamming_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_bessel_j0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_bessel_j1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_bessel_y1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_erfcx_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_split_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sqrt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_std_unbiased_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tensordot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_torch__scaled_mm_cpu_float8_e4m3fn, test/test_ops.py::TestTagsCPU::test_tags_true_divide_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unbind_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unfold_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unsqueeze_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unsqueeze_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_view_as_complex_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_view_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_view_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_xlogy_cpu_float32 2025-08-26T21:34:40.7209576Z 2025-08-26T21:34:41.6571574Z Uploading artifacts took 1.35 seconds 2025-08-26T21:34:43.4320529Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:34:43.4322099Z import pkg_resources 2025-08-26T21:34:43.5550740Z Running test_ops_fwd_gradients 1/2 ... [2025-08-26 21:34:43.554733] 2025-08-26T21:34:43.5551216Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:34:43.5554704Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:34:43.555121] 2025-08-26T21:35:02.9204065Z 2025-08-26T21:35:02.9205355Z test_ops 7/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_7.8_57803e3b950dcf59_.log 2025-08-26T21:35:03.1761265Z Running 4293 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rxor___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_double_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_addcmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_contiguous_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_empty_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_flipud_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_narrow_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_trace_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_reshape_as_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_roll_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_split_with_sizes_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_transpose_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unfold_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_where_cpu_complex32, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_half_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_int_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_long_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_polar_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_short_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_acos_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_atan_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_atleast_3d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_bitwise_left_shift_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_conj_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_constant_pad_nd_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_diag_embed_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_empty_like_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_expand_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_ifft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_rfft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_frexp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_i0_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_log_normal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_logical_and_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_meshgrid_variadic_tensors_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_mul_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_narrow_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_neg_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_leaky_relu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_margin_ranking_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_pixel_shuffle_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_prelu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_positive_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_ravel_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_reciprocal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_signbit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_sinc_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_sinh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_i0e_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_std_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_tril_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_unbind_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_view_as_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_addbmm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_aminmax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_arange_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_as_strided_scatter_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_asinh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_atan_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bincount_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bitwise_and_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bitwise_left_shift_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_broadcast_shapes_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_clamp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_contiguous_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cos_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cumulative_trapezoid_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_diagonal_scatter_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_div_floor_rounding_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_empty_strided_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_erf_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_erfinv_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_exp2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_expand_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_exponential_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_full_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_igamma_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_index_select_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_inner_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_isin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_istft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_jiterator_binary_return_by_ref_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_cholesky_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_cross_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_householder_product_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_ldl_factor_ex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_lu_factor_ex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_vecdot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linspace_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logical_not_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logical_xor_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_long_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_lu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_mH_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_normalize_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_std_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_sum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_matmul_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_maximum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_median_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_meshgrid_list_of_tensors_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_multinomial_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_mvlgamma_mvlgamma_p_5_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_native_layer_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_new_zeros_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_avg_pool1d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_conv2d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_cosine_similarity_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_elu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_embedding_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_hardsigmoid_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_hinge_embedding_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_interpolate_area_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_interpolate_nearest-exact_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_linear_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_max_unpool2d_grad_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_multi_head_attention_forward_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_one_hot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pad_reflect_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_poisson_nll_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_prelu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_rms_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_scaled_dot_product_attention_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_selu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_softshrink_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_normal_in_place_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_ones_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_ones_like_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_polygamma_polygamma_n_1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_randn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_repeat_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_roll_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signal_windows_exponential_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_i1e_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_scaled_modified_bessel_k1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_shifted_chebyshev_polynomial_v_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_split_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_t_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_triangular_solve_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_trunc_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unbind_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unflatten_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unfold_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unique_consecutive_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unsafe_split_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_xlogy_cpu, test/test_ops.py::TestCommonCPU::test_errors___rmod___cpu, test/test_ops.py::TestCommonCPU::test_errors___rpow___cpu, test/test_ops.py::TestCommonCPU::test_errors_amin_cpu, test/test_ops.py::TestCommonCPU::test_errors_bitwise_left_shift_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_fft2_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_fft_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_ifftn_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_irfft_cpu, test/test_ops.py::TestCommonCPU::test_errors_gather_cpu, test/test_ops.py::TestCommonCPU::test_errors_gradient_cpu, test/test_ops.py::TestCommonCPU::test_errors_item_cpu, test/test_ops.py::TestCommonCPU::test_errors_logaddexp_cpu, test/test_ops.py::TestCommonCPU::test_errors_max_binary_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_adaptive_max_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_group_norm_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_max_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_poisson_nll_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_pow_cpu, test/test_ops.py::TestCommonCPU::test_errors_scatter_add_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_mul_layout4_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_zeros_like_layout0_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_shifted_chebyshev_polynomial_u_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_shifted_chebyshev_polynomial_w_cpu, test/test_ops.py::TestCommonCPU::test_errors_uniform_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addcdiv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addmv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_all_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_aminmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_as_strided_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_complex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_deg2rad_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_eq_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_hfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_irfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_floor_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ge_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_max_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nanmean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_permute_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_pow_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_log_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tril_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rdiv___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__chunk_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_put_accumulate_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_abs_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_all_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_angle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_arange_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_arange_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argwhere_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_asin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_shapes_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_min_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_column_stack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_corrcoef_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cov_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cross_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diag_embed_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_floor_rounding_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_multiple_devices_gradient_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_grid_sampler_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_histogramdd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isclose_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isnan_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isreal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_le_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_svdvals_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dist_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_double_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_einsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_strided_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_equal_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_erfinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifft2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_rfft2_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logaddexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_and_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_not_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mT_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_amax_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumsum_cpu_float32, 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test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_cummax_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_diagonal_copy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_diagonal_scatter_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_dist_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_einsum_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_empty_strided_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_expand_copy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_eye_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_fft_fftshift_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_fft_ihfft_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_fft_irfft2_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_fft_irfft_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_fft_rfft2_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_frexp_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_full_like_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_index_add_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_inner_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_isclose_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_isin_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_isinf_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_linalg_vector_norm_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_log_softmax_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_logspace_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_lu_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_mH_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_masked_log_softmax_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nan_to_num_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_native_batch_norm_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_new_full_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_linear_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_selu_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_softsign_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_unfold_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_norm_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_permute_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_real_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_resize__cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_slice_scatter_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_bessel_j1_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_std_unbiased_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_tensor_split_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_tril_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unique_consecutive_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_var_mean_unbiased_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_view_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_xlogy_cpu_float32, test/test_ops.py::TestMathBitsCPU::test_conj_view___radd___cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view___rdiv___cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view___rmatmul___cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view___rsub___cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_short_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_add_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_addcmul_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_conj_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_cos_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_count_nonzero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_cumprod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_empty_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_expand_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_expand_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_fft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_fftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_hfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_irfftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_isclose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_isreal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_item_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_svdvals_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_vector_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_logical_or_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_pairwise_distance_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_normal__in_place_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_permute_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_pow_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_rsqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_squeeze_multiple_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_std_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_stft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_transpose_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_alias_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cartesian_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cholesky_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_combinations_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cosh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_count_nonzero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_empty_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_hstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_inner_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cholesky_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cond_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eigh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eigvalsh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_inv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_singular_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_solve_triangular_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_svd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logdet_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mul_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_narrow_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_empty_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_rms_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pca_lowrank_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_put_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_select_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_slice_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_squeeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_squeeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_take_along_dim_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trapz_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unbind_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsqueeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_vstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_byte_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_addcdiv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expand_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_hfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_ifftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_hsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_imag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isreal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log10_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log1p_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_meshgrid_list_of_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_movedim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_channel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_permute_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_positive_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_roll_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_rsqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_rsub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_square_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_squeeze_multiple_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_abs_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmm_decomposed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_all_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bfloat16_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_block_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cholesky_inverse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_column_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_combinations_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_corrcoef_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cov_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cross_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagflat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_exp2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expm1_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_hfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_flipud_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_half_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_hsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_binary_return_by_ref_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_factor_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_tensorsolve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_vander_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log10_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_long_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mT_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv_transpose1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_l1_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_linear_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pinverse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_repeat_interleave_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reshape_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resize_as__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_scalar_tensor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_square_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_take_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tensor_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tril_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_triu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsqueeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_as_real_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zero__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zeros_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmod___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmul___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__native_batch_norm_legit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_bfloat16_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_char_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_half_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_addcmul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_constant_pad_nd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diagonal_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_eq_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fmod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hypot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_svdvals_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log1p_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_and_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_meshgrid_list_of_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_celu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_pixel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_randn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_real_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reciprocal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sinc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_erfcx_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_logit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_t_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__unsafe_masked_index_put_accumulate_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_broadcast_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_byte_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cartesian_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ceil_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_conj_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_constant_pad_nd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_no_rounding_mode_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_rfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_full_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ge_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_half_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_histogramdd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isfinite_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_binary_return_by_ref_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_det_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eigvals_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_ldl_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_factor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vander_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mH_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_amax_cpu_float64, 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test/test_ops.py::TestMathBitsCPU::test_neg_view_narrow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_native_dropout_backward_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_neg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_avg_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_huber_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_instance_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_linear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_nearest_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_logsigmoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pixel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_selu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_upsample_bilinear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_upsample_nearest_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_permute_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_4_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rand_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randint_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_renorm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_round_decimals_neg_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rsub_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scalar_tensor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_reduce_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sgn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_exponential_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_gaussian_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_general_cosine_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_j0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_j1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_y1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_chebyshev_polynomial_v_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_i1e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_scaled_modified_bessel_k1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_std_mean_unbiased_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_to_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_trunc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unbind_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_view_as_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_view_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_where_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_xlogy_cpu_float64, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_addcmul_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_alias_copy_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_atan__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_atanh_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_bitwise_or_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_block_diag_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_ceil__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_clamp_max_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_clone_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_conj_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_contiguous_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_cos_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_diagonal_scatter_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_empty_permuted_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_exp_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_expand_as_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_fft_hfft2_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_fft_rfft2_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_floor_divide__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_floor_divide_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_fmod__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_gcd_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_gt__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_gt_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_igamma__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_imag_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_lcm__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_logaddexp_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_logspace_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_neg__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_new_full_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_nn_functional_channel_shuffle_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_nn_functional_hinge_embedding_loss_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_normal_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_prod_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_randn_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_remainder__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_rfloordiv_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_rsub_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_sin_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_special_bessel_j0_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_special_bessel_j1_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_special_multigammaln_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_sum_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_unfold_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_view_copy_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs__conversions_cfloat_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs__conversions_chalf_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_addcdiv_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_addcmul_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_amax_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_atleast_1d_cpu, 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test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_fft_irfft_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_flipud_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_fmin_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_gt__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_lgamma__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_log2_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_log_normal_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_lt__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_mul_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_nn_functional_hardshrink_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_nn_functional_huber_loss_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_nn_functional_mish__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_nn_functional_threshold__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_nn_functional_threshold_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_nn_functional_triplet_margin_loss_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_pow_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_prod_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_rad2deg_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_randn_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_remainder_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_rsqrt__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_rsqrt_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_rsub_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_sigmoid_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_signbit_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_sinh_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_squeeze_copy_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_stft_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_sum_to_size_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_t_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_tanh__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_transpose_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_tril_indices_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_true_divide_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_unsqueeze_copy_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_var_mean_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_python_ref_db_op__refs_vstack_cpu, test/test_ops.py::TestFakeTensorCPU::test_fake_argmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_asin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast___radd___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast___rand___cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast___rxor___cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_acos_cpu_float32, 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test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cov_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_det_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_elu_cpu_float32, 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test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diag_embed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_permuted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gcd_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_grid_sampler_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hash_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isreal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_and_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nextafter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randn_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signbit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_triu_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rpow___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rsub___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_acos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_and_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_heaviside_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_and_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_long_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randint_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int16, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_float_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_half_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_polar_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_short_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_abs_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_acos_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_all_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_amax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_partial_views_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_bitwise_xor_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_broadcast_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_conj_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cumsum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_digamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_div_floor_rounding_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_dot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_expand_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_fftshift_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_hfft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_irfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_flipud_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_floor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_frexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_index_add_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isclose_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isinf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isnan_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linspace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_masked_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_narrow_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_narrow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_elu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_prelu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_selu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_normal_number_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_positive_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_pow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_rad2deg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_repeat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_reshape_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_round_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_rsub_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sinh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_bessel_j0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_erfcx_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_i1e_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_log_ndtr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sub_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_tanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_triu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_triu_indices_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_xlogy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_as_strided_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_bincount_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_cauchy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cdist_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ceil_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_clamp_max_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_clone_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_constant_pad_nd_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cross_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_digamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_erfinv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_expand_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_hfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_ifftshift_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_irfft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_float_power_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_geometric_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_gt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_heaviside_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_i0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_inner_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_isclose_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_isposinf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_item_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lgamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_cross_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_eigh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_lu_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logical_and_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_long_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_amin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_cumsum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_std_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_sum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_multinomial_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_narrow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_gelu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_glu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_prelu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_softmin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_threshold_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nonzero_static_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_permute_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_pow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_prod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_randint_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scalar_tensor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sgn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_cosine_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_hann_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_squeeze_multiple_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sub_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_take_along_dim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tensor_split_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_topk_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_trace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_transpose_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_vstack_cpu_float32 2025-08-26T21:35:03.4132258Z 2025-08-26T21:35:06.8053572Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:35:06.8056785Z import pkg_resources 2025-08-26T21:35:07.0034992Z Running test_ops_fwd_gradients 2/2 ... [2025-08-26 21:35:07.003011] 2025-08-26T21:35:07.0036161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:35:07.0041027Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:35:07.003703] 2025-08-26T21:39:09.7899985Z 2025-08-26T21:39:09.7901438Z test_ops_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.2_926d0f5cd16d091e_.log 2025-08-26T21:39:10.0146865Z Running 2729 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyCubeCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyMulScalarCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyNMSCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyNonzeroCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpySortCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpySplitCopyWithIntCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyTakeCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyViewCopyCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_T_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___getitem___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___radd___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rdiv___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmatmul___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmod___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmul___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rpow___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rpow___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rsub___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__chunk_cat_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__chunk_cat_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__native_batch_norm_legit_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__segment_reduce_lengths_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__softmax_backward_data_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__upsample_bilinear2d_aa_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_abs_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acos_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acosh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_add_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addbmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmv_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmv_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addr_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_all_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_all_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_allclose_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_amax_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_amin_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_angle_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argmin_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argsort_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argwhere_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_partial_views_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asin_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asin_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asinh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atan2_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_2d_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bernoulli_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bfloat16_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bool_cpu_complex128, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_char_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_char_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cholesky_inverse_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_clamp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_clamp_max_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_clone_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_column_stack_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_column_stack_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_combinations_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_complex_cpu_float64, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unbind_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unbind_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unflatten_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unflatten_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsafe_chunk_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsafe_chunk_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsafe_split_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsafe_split_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vdot_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vdot_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_complex_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vsplit_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vstack_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zero__cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_complex128 2025-08-26T21:39:10.2301020Z 2025-08-26T21:39:12.9252330Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:39:12.9254069Z import pkg_resources 2025-08-26T21:39:13.0507576Z Running lazy/test_step_closures 1/1 ... [2025-08-26 21:39:13.050306] 2025-08-26T21:39:13.0508179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:39:13.0510143Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_step_closures.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:39:13.050676] 2025-08-26T21:39:18.6855293Z 2025-08-26T21:39:18.6857002Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_a3f825350c1b4818_.log 2025-08-26T21:39:18.6860959Z Running 4 items in this shard: test/lazy/test_step_closures.py::ClosuresTest::test_asynchronous, test/lazy/test_step_closures.py::ClosuresTest::test_asynchronous_exception, test/lazy/test_step_closures.py::ClosuresTest::test_synchronous, test/lazy/test_step_closures.py::ClosuresTest::test_synchronous_exception 2025-08-26T21:39:18.6864488Z 2025-08-26T21:39:22.3878400Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:39:22.3881937Z import pkg_resources 2025-08-26T21:39:22.5117593Z Running test_sparse_semi_structured 1/1 ... [2025-08-26 21:39:22.511116] 2025-08-26T21:39:22.5118793Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:39:22.5121503Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sparse_semi_structured.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:39:22.511552] 2025-08-26T21:39:32.1426945Z 2025-08-26T21:39:32.1428765Z test_sparse_semi_structured 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_semi_structured_1.1_b2fbe5afa2cc4c1c_.log 2025-08-26T21:39:32.1469547Z Running 42 items in this shard: test/test_sparse_semi_structured.py::SparseSemiStructuredTensorCompileTest::test_mlp_contiguous_relu_compile_cusparselt, test/test_sparse_semi_structured.py::SparseSemiStructuredTensorCompileTest::test_mlp_contiguous_relu_compile_cutlass, test/test_sparse_semi_structured.py::SparseSemiStructuredTensorCompileTest::test_sp24_compile, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_indices, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_linear, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_min_sparse_shape, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mlp, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_first_NN, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_first_NT, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_first_TN, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_second_NN, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_second_NT, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_to_sparse_semi_structured, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_unsupported_dim, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_unsupported_dtype, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_unsupported_shape, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_values, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_gemm, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_pack_both_ways_edge_case1, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_pack_both_ways_id, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_pack_both_ways_meta_correctness, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_prune_dense_static_sort, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_pruning_algo_largest_abs_values_greedy, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_apply, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_apply_dense, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_matmuls, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_matmuls_bmm, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_matmuls_mat_vec, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUTLASS::test_conversions, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUTLASS::test_conversions_all_patterns, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUTLASS::test_linear_cutlass, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUTLASS::test_sparse_semi_structured_ops_cutlass, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_alpha, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_alpha_compile_autotune, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_alpha_mixed_dtype, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_mixed_dtype, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_search, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_csrc_cslt_sparse_mm_search, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cusparselt_backend, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_sparse_fp8fp8_mm, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_sparse_semi_structured_scaled_mm, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_sparse_semi_structured_scaled_mm_fp8 2025-08-26T21:39:32.1504930Z 2025-08-26T21:39:35.9189331Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:39:35.9192107Z import pkg_resources 2025-08-26T21:39:36.0422436Z Running nn/test_packed_sequence 1/1 ... [2025-08-26 21:39:36.041832] 2025-08-26T21:39:36.0423361Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:39:36.0425739Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_packed_sequence.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:39:36.042204] 2025-08-26T21:39:40.1626288Z 2025-08-26T21:39:40.1627627Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_1b5cc7be32d18323_.log 2025-08-26T21:39:40.1635931Z Running 12 items in this shard: test/nn/test_packed_sequence.py::PackedSequenceTest::test_pack_padded_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pack_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence_with_non_iterable_sequences, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence_with_tensor_sequences, test/nn/test_packed_sequence.py::PackedSequenceTest::test_to, test/nn/test_packed_sequence.py::PackedSequenceTest::test_to_memory_format, test/nn/test_packed_sequence.py::PackedSequenceTest::test_total_length, test/nn/test_packed_sequence.py::PackedSequenceTest::test_type_casts, test/nn/test_packed_sequence.py::PackedSequenceTest::test_unpack_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_unpad_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_wrong_order 2025-08-26T21:39:40.1643169Z 2025-08-26T21:39:43.6595755Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:39:43.6597338Z import pkg_resources 2025-08-26T21:39:43.7824126Z Running profiler/test_record_function 1/1 ... [2025-08-26 21:39:43.782030] 2025-08-26T21:39:43.7825009Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:39:43.7826956Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_record_function.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:39:43.782374] 2025-08-26T21:39:47.7040898Z 2025-08-26T21:39:47.7043529Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_1d90e6d4338efc2b_.log 2025-08-26T21:39:47.7049755Z Running 4 items in this shard: test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_delegation_with_profiler, test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_with_record_function, test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_with_record_function_fork, test/profiler/test_record_function.py::TestRecordFunction::test_record_function 2025-08-26T21:39:47.7054205Z 2025-08-26T21:39:51.1012150Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:39:51.1015602Z import pkg_resources 2025-08-26T21:39:51.2241246Z Running nn/test_lazy_modules 1/1 ... [2025-08-26 21:39:51.223699] 2025-08-26T21:39:51.2242192Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:39:51.2244404Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_lazy_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:39:51.224068] 2025-08-26T21:39:55.4459570Z 2025-08-26T21:39:55.4460598Z nn/test_lazy_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_lazy_modules_1.1_f8bdfbd04d708584_.log 2025-08-26T21:39:55.4481953Z Running 59 items in this shard: test/nn/test_lazy_modules.py::TestLazyModules::test_chained_initialization, test/nn/test_lazy_modules.py::TestLazyModules::test_invalid_functions, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm_with_dict_input, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose1d_kwargs, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d_kwargs, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d_kwargs, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transposed1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_forward_hook, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_linear_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_linear_state_and_forward, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_buffer, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_jit_buffer, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_jit_param, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_parameter, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_pre_forward_hook, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_share_memory_buffer, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_share_memory_param, test/nn/test_lazy_modules.py::TestLazyModules::test_linear, test/nn/test_lazy_modules.py::TestLazyModules::test_linear_state, test/nn/test_lazy_modules.py::TestLazyModules::test_materialize_device, test/nn/test_lazy_modules.py::TestLazyModules::test_materialize_dtype, test/nn/test_lazy_modules.py::TestLazyModules::test_optimizer_pass, test/nn/test_lazy_modules.py::TestLazyModules::test_spectral_norm, test/nn/test_lazy_modules.py::TestLazyModules::test_weight_norm 2025-08-26T21:39:55.4501651Z 2025-08-26T21:39:59.0495669Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:39:59.0498456Z import pkg_resources 2025-08-26T21:39:59.1728169Z Running test_fx_reinplace_pass 1/1 ... [2025-08-26 21:39:59.172364] 2025-08-26T21:39:59.1729179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:39:59.1731453Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_reinplace_pass.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:39:59.172759] 2025-08-26T21:40:03.0937914Z 2025-08-26T21:40:03.0939191Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_5243715c6e60e58c_.log 2025-08-26T21:40:03.0944751Z Running 12 items in this shard: test/test_fx_reinplace_pass.py::TestReinplacePass::test_out_node_updated, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_basic, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_different_metadata, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_index_mutation, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_overlapping_memory, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_op, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_invalid, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_invalid2, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_valid, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_sym_input, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_with_view 2025-08-26T21:40:03.0949599Z 2025-08-26T21:40:06.6751197Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:40:06.6754156Z import pkg_resources 2025-08-26T21:40:06.8016697Z Running profiler/test_cpp_thread 1/1 ... [2025-08-26 21:40:06.801278] 2025-08-26T21:40:06.8017591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:40:06.8020249Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_cpp_thread.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:40:06.801687] 2025-08-26T21:40:10.3468739Z 2025-08-26T21:40:10.3470436Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_dc813aa1b1dd7214_.log 2025-08-26T21:40:10.3476159Z Running 6 items in this shard: test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_profile_memory_cuda, test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_with_enable_profiler_in_child_thread_cuda, test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_without_enable_profiler_in_child_thread_cuda, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_profile_memory_xpu, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_with_enable_profiler_in_child_thread_xpu, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_without_enable_profiler_in_child_thread_xpu 2025-08-26T21:40:10.3481023Z 2025-08-26T21:40:13.7234093Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:40:13.7237290Z import pkg_resources 2025-08-26T21:40:13.8475294Z Running test_cuda_expandable_segments 1/1 ... [2025-08-26 21:40:13.846697] 2025-08-26T21:40:13.8476291Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:40:13.8478554Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:40:13.847099] 2025-08-26T21:40:18.2149771Z 2025-08-26T21:40:18.2151552Z test_cuda_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_expandable_segments_1.1_38370bf8b4fc719c_.log 2025-08-26T21:40:18.2152866Z 2025-08-26T21:40:21.3442998Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:40:21.3445932Z import pkg_resources 2025-08-26T21:40:21.4679330Z Running test_numba_integration 1/1 ... [2025-08-26 21:40:21.467485] 2025-08-26T21:40:21.4681930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:40:21.4684437Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_numba_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:40:21.467911] 2025-08-26T21:40:24.7447199Z 2025-08-26T21:40:24.7449366Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_6a05a0042dd965c5_.log 2025-08-26T21:40:24.7455975Z Running 8 items in this shard: test/test_numba_integration.py::TestNumbaIntegration::test_active_device, test/test_numba_integration.py::TestNumbaIntegration::test_array_adaptor, test/test_numba_integration.py::TestNumbaIntegration::test_conversion_errors, test/test_numba_integration.py::TestNumbaIntegration::test_cuda_array_interface, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_active_device, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_inferred_strides, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_lifetime 2025-08-26T21:40:24.7461512Z 2025-08-26T21:40:27.8173942Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:40:27.8176625Z import pkg_resources 2025-08-26T21:40:27.9403438Z Running test_segment_reductions 1/1 ... [2025-08-26 21:40:27.939959] 2025-08-26T21:40:27.9404215Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:40:27.9406507Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_segment_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:40:27.940326] 2025-08-26T21:40:32.8126729Z 2025-08-26T21:40:32.8128072Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_3aaec741dc4d37da_.log 2025-08-26T21:40:32.8191423Z Running 74 items in this shard: test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_unsafe_flag_cpu_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_unsafe_flag_cpu_int64 2025-08-26T21:40:32.8260963Z 2025-08-26T21:40:35.9689625Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:40:35.9691175Z import pkg_resources 2025-08-26T21:40:36.0927797Z Running test_logging 1/1 ... [2025-08-26 21:40:36.092389] 2025-08-26T21:40:36.0928278Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:40:36.0932311Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:40:36.092801] 2025-08-26T21:40:41.1665857Z 2025-08-26T21:40:41.1667204Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_5052a3828e56aae4_.log 2025-08-26T21:40:41.1668264Z Running 1 items in this shard: test/test_logging.py::LoggingTest::testApiUsage 2025-08-26T21:40:41.1668704Z 2025-08-26T21:40:44.3532047Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:40:44.3534948Z import pkg_resources 2025-08-26T21:40:44.4766094Z Running test_functionalization_of_rng_ops 1/1 ... [2025-08-26 21:40:44.476196] 2025-08-26T21:40:44.4766948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:40:44.4769493Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functionalization_of_rng_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:40:44.476592] 2025-08-26T21:40:46.8032170Z 2025-08-26T21:40:46.8033620Z test_ops_fwd_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.2_96462a31b6e563d9_.log 2025-08-26T21:40:46.9126706Z Running 1604 items in this shard: test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_H_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_T_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___getitem___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___radd___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___radd___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rdiv___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rdiv___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmatmul___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmul___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rsub___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__segment_reduce_offsets_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_abs_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acos_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acos_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acosh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_add_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_add_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addbmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addbmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addcdiv_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addcmul_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_decomposed_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_alias_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_alias_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_allclose_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_amin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_aminmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_arange_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argsort_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argwhere_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argwhere_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_partial_views_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_scatter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_asin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_asinh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atan_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atanh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_3d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_baddbmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_baddbmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bernoulli_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bfloat16_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_block_diag_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_block_diag_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bool_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_tensors_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_to_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cartesian_prod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cat_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cdist_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cdouble_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cfloat_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_char_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_inverse_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_solve_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_chunk_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_clamp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_clamp_max_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_clamp_min_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_column_stack_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_column_stack_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_combinations_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_combinations_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_complex_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_conj_physical_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_conj_physical_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_constant_pad_nd_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_constant_pad_nd_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_contiguous_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_copysign_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cos_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_count_nonzero_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_count_nonzero_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cov_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cross_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cummax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cumprod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cumsum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cumulative_trapezoid_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cumulative_trapezoid_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_deg2rad_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_diag_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_diag_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_diag_embed_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_diag_embed_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_diagonal_scatter_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_diff_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_dist_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_dist_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_div_no_rounding_mode_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_dot_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_double_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_dstack_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_dstack_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_einsum_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_einsum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_empty_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_empty_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_empty_permuted_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_empty_strided_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_empty_strided_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_equal_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_equal_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_erf_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_erfinv_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_exp2_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_exp2_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_expand_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_expand_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_expm1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_fft_fft2_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_fft_fft2_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_fft_fft_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_fft_fftn_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_fft_fftn_cpu_float64, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_reduction_with_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_msort_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mul_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mul_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_multinomial_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mv_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mv_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nanmean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nansum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_batch_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_dropout_backward_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_layer_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ne_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_empty_strided_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_empty_strided_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_full_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_ones_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nextafter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_bilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_celu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_channel_shuffle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_channel_shuffle_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv1d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv2d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cosine_similarity_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cross_entropy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_elu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_embedding_bag_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_glu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardshrink_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardtanh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_huber_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_instance_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_bilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_trilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_kl_div_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_l1_loss_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_l1_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_layer_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_leaky_relu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_linear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_local_response_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_grad_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mish_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mse_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multi_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_nll_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_normalize_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_normalize_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_circular_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_negative_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_negative_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_relu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rms_norm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rms_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_silu_complex_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_silu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_smooth_l1_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_soft_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softplus_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softsign_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_upsample_nearest_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_static_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_fro_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_in_place_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ormqr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_outer_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pca_lowrank_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pca_lowrank_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pinverse_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pinverse_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polar_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_2_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pow_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pow_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_qr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_quantile_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rand_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randint_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randint_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ravel_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_real_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reciprocal_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reciprocal_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_remainder_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_repeat_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_repeat_interleave_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_repeat_interleave_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reshape_as_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reshape_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resize__cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resize__cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resize_as__cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resolve_conj_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resolve_neg_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_roll_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rot90_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rot90_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_round_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_round_decimals_0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_round_decimals_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rsqrt_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rsub_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scalar_tensor_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scalar_tensor_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scatter_add_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scatter_reduce_amin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_searchsorted_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_select_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_select_scatter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sgn_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sigmoid_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sign_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_blackman_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_general_hamming_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_hamming_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_hann_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_nuttall_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sin_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sinc_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sinc_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sinh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sinh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_softmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_softmax_with_dtype_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_softmax_with_dtype_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sort_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sparse_sampled_addmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_airy_ai_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_bessel_j1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_bessel_y0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_bessel_y1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_chebyshev_polynomial_w_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_erfcx_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_hermite_polynomial_he_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_i1e_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_laguerre_polynomial_l_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_legendre_polynomial_p_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_modified_bessel_i1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_modified_bessel_k1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_ndtr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_ndtri_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_scaled_modified_bessel_k0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_scaled_modified_bessel_k1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_xlog1py_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_split_list_args_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_split_with_sizes_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_squeeze_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_squeeze_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_squeeze_multiple_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_unbiased_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sub_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sub_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sum_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sum_to_size_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_svd_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_svd_lowrank_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_t_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_t_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_t_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_t_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_take_along_dim_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_take_along_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_take_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tan_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tanh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tensordot_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tile_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_to_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_to_sparse_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trace_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_transpose_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_transpose_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_transpose_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trapezoid_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trapezoid_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trapz_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_triangular_solve_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_triangular_solve_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trunc_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unflatten_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unfold_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unfold_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_uniform_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unique_consecutive_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsafe_split_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsafe_split_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsqueeze_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_mean_unbiased_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_unbiased_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_unbiased_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vdot_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_real_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vsplit_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vstack_cpu_complex128 2025-08-26T21:40:46.9823497Z 2025-08-26T21:40:48.0963254Z 2025-08-26T21:40:48.0964961Z test_functionalization_of_rng_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_of_rng_ops_1.1_c0412d50b24d76fb_.log 2025-08-26T21:40:48.0967254Z Running 1 items in this shard: test/test_functionalization_of_rng_ops.py::NegativeTestCPU::test_on_cpu_cpu_float32 2025-08-26T21:40:48.0968150Z 2025-08-26T21:40:49.9897923Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:40:49.9901190Z import pkg_resources 2025-08-26T21:40:50.1133882Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-08-26 21:40:50.112967] 2025-08-26T21:40:50.1135476Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:40:50.1138481Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aot_joint_with_descriptors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:40:50.113406] 2025-08-26T21:40:51.5216892Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:40:51.5219940Z import pkg_resources 2025-08-26T21:40:51.6469251Z Running test_subclass 1/1 ... [2025-08-26 21:40:51.646489] 2025-08-26T21:40:51.6470005Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:40:51.6472304Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_subclass.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:40:51.646860] 2025-08-26T21:40:56.3284171Z 2025-08-26T21:40:56.3285757Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_4fe255a89d7e3e1e_.log 2025-08-26T21:40:56.3366402Z Running 100 items in this shard: test/test_subclass.py::TestSubclass::test_deepcopy_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_strides_as_param_True, test/test_subclass.py::TestSubclass::test_lazy_module_base_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_diag_tensor_below, test/test_subclass.py::TestSubclass::test_lazy_module_logging_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_non_wrapper_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_sparse_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_wrapper_with_custom_sizes, test/test_subclass.py::TestSubclass::test_lazy_module_wrapper_with_custom_strides, test/test_subclass.py::TestSubclass::test_module_optimization_base_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_diag_tensor_below, test/test_subclass.py::TestSubclass::test_module_optimization_logging_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_non_wrapper_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_sparse_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_wrapper_with_custom_sizes, test/test_subclass.py::TestSubclass::test_module_optimization_wrapper_with_custom_strides, test/test_subclass.py::TestSubclass::test_non_rewrapping_torch_dispatch_subclass_as_parameter_throws_for_detach, test/test_subclass.py::TestSubclass::test_param_invariants_base_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_base_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_diag_tensor_below_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_diag_tensor_below_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_logging_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_logging_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_non_wrapper_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_non_wrapper_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_sparse_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_sparse_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_sizes_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_sizes_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_strides_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_strides_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_parametrization_base_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_base_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_diag_tensor_below_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_diag_tensor_below_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_logging_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_logging_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_non_wrapper_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_non_wrapper_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_sparse_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_sparse_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_sizes_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_sizes_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_strides_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_strides_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_repr_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_repr_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_repr_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_strides_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_strides_as_param_True, test/test_subclass.py::TestSubclass::test_tensor_subclass_storage_data_accesses_throw, test/test_subclass.py::TestSubclass::test_type_propagation_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_strides_as_param_True 2025-08-26T21:40:56.3443355Z 2025-08-26T21:40:59.9034771Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:40:59.9036362Z import pkg_resources 2025-08-26T21:41:00.0282787Z Running test_itt 1/1 ... [2025-08-26 21:41:00.027879] 2025-08-26T21:41:00.0283376Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:41:00.0286391Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_itt.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:41:00.028287] 2025-08-26T21:41:00.2028583Z 2025-08-26T21:41:00.2030546Z functorch/test_aot_joint_with_descriptors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aot_joint_with_descriptors_1.1_7d5fae34bb1e684f_.log 2025-08-26T21:41:00.2040704Z Running 10 items in this shard: test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_conv_bn_module, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_export_and_compile, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_fx_utils_conv_bn_module, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_fx_utils_multiple_outputs, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_fx_utils_node_consistency, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_fx_utils_simple_linear, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_in_out_specs, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_module_with_kwargs, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_multiple_outputs_module, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_simple_linear_module 2025-08-26T21:41:00.2049798Z 2025-08-26T21:41:03.5480857Z 2025-08-26T21:41:03.5482029Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_995250cdb351bca9_.log 2025-08-26T21:41:03.5483444Z Running 1 items in this shard: test/test_itt.py::TestItt::test_itt 2025-08-26T21:41:03.5484042Z 2025-08-26T21:41:03.6895520Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:41:03.6898349Z import pkg_resources 2025-08-26T21:41:03.8139227Z Running profiler/test_torch_tidy 1/1 ... [2025-08-26 21:41:03.813496] 2025-08-26T21:41:03.8140104Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:41:03.8142708Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:41:03.813900] 2025-08-26T21:41:06.8445388Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:41:06.8448504Z import pkg_resources 2025-08-26T21:41:06.9702152Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-08-26 21:41:06.969688] 2025-08-26T21:41:06.9703142Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:41:06.9706959Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:41:06.970190] 2025-08-26T21:41:14.2448425Z 2025-08-26T21:41:14.2449814Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_b8e267c5db70b8dd_.log 2025-08-26T21:41:14.2462671Z Running 22 items in this shard: test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_id_uniqueness, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_ids_with_other_ops, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocations, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_extra_fields, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_impl_reuse, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_mkldnn_tensors, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_nnmodule_params, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer_parameters_adam, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer_parameters_sgd, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_pointers_and_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_refcounts, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_scalar_ins, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_sparse_tensors, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensor_lists, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensor_properties, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_full, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_keep_alive, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_scalar_args, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_set 2025-08-26T21:41:14.2471375Z 2025-08-26T21:41:16.0490886Z 2025-08-26T21:41:16.0492520Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_e02b839c8cf94c49_.log 2025-08-26T21:41:16.0595118Z Running 273 items in this shard: test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_copies, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_negative_resize, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_repeats, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_reshape_from_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_zeroresize, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_choose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_clip, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_compress, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_count_nonzero, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_cumproduct, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_diagonal, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_accuracy, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype3, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype4, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype5, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype6, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype7, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-10, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-9, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_mean, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_prod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ptp, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ravel, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_repeat, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_reshape, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_py_consistency, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_searchsorted, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_size, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_squeeze, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_std, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_sum, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_swapaxes, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_take, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_trace, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_transpose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_var, test/torch_np/numpy_tests/core/test_numeric.py::TestIsscalar::test_isscalar, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_and_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_and_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_or_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_or_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_xor_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_xor_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_logical, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_all_any, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_logical_and_or_xor, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_logical_not_abs, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolCmp::test_double, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolCmp::test_float, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_default, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_divide_err, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_errobj, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_set, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_D, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_F, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_d, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_e, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_f, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_warnings, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_values, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_promote_types_endian, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_result_type, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_tesult_type_2, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_5, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_9, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_empty_result, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_failed_itemsetting, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_lengths, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_too_few_items, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_types, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_values, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_?, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_B, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_D, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_F, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_b, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_d, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_e, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_f, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_h, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_i, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_l, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_list, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_countnonzero_axis_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_countnonzero_keepdims, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_onedim, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_onedim_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_trivial, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_trivial_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_twodim, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_zerod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_zerod_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_sparse, test/torch_np/numpy_tests/core/test_numeric.py::TestIndex::test_boolean, test/torch_np/numpy_tests/core/test_numeric.py::TestIndex::test_boolean_edgecase, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_large_neg_int64, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_neg_width_boundaries, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_negative, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_positive, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_sufficient_width, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_base3, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_base_range, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_negative, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_positive, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equal, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equal_equal_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equiv, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_none_compares_elementwise, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_array_double, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_func_takes_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_inplace_array, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_inplace_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_non_contig, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_property, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_scalar_nan_propagation_arr0_amin0_amax0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin2_amax2, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin_1_amax1, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin_1_amax_0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_array_int32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_array_outint32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_memory_overlap, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple2, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple_int32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_transposed, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_noncontig_inplace, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_D, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_F, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_e, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_?, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_B, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_b, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_d, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_f, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_h, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_i, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_l, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_double, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_inplace_01, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_inplace_02, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_inout_casting0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_inout_casting_unsafe, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int64_inout, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int64_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_nonnative, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_01, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_02, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_03, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_04, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_05, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_06, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_07, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_08, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_09, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_10, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_11, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_12, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_equalnan, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_ip_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_ip_not_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_min_int, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_no_parameter_modification, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_equal_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_all_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_isclose_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_none_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_no_parameter_modification, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_non_finite_scalar, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_scalar_return, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_basic, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_ddof1, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_ddof2, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_out_scalar, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_scalars, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVarComplex::test_basic, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVarComplex::test_scalars, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_for_reference_leak, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_full, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_ones, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_zeros, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc0_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc0_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc1_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc1_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc2_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc2_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc3_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc3_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_empty_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_filled_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_ones_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_zeros_like, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_float, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_mode, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_no_overwrite, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_zero_size, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_mode, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_no_overwrite, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_numpy_doc_examples, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_object, test/torch_np/numpy_tests/core/test_numeric.py::TestDtypePositional::test_dtype_positional, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_2D, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_list, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_0, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_1, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_2, test/torch_np/numpy_tests/core/test_numeric.py::TestStringFunction::test_set_string_function, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll1d, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll2d, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_exceptions, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_results, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_errors, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_multiples, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_new_position, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_to_end, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_preserve_order, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x2, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_3x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting_shapes, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_uint8_int32_mixed_dtypes, test/torch_np/numpy_tests/core/test_numeric.py::TestOuterMisc::test_outer_out_param, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_scalar_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_single_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_sparse, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_C_and_F_simul, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_non_array_input, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_require_each, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_unknown_requirement, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_error_kwargs, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_in_args, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_single_arg, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_number_of_arguments, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_shape_mismatch_error_message, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension_einsum, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimensional 2025-08-26T21:41:16.0694496Z 2025-08-26T21:41:17.3908890Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:41:17.3910474Z import pkg_resources 2025-08-26T21:41:17.5143240Z Running test_bundled_inputs 1/1 ... [2025-08-26 21:41:17.513977] 2025-08-26T21:41:17.5143693Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:41:17.5146449Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_bundled_inputs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:41:17.514361] 2025-08-26T21:41:19.2027603Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:41:19.2030740Z import pkg_resources 2025-08-26T21:41:19.3277050Z Running test_masked 1/1 ... [2025-08-26 21:41:19.327276] 2025-08-26T21:41:19.3277618Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:41:19.3279233Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_masked.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:41:19.327649] 2025-08-26T21:41:21.9363348Z 2025-08-26T21:41:21.9364716Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_1d0b929f97d289b3_.log 2025-08-26T21:41:21.9370121Z Running 12 items in this shard: test/test_bundled_inputs.py::TestBundledInputs::test_bad_inputs, test/test_bundled_inputs.py::TestBundledInputs::test_dict_args, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_fail, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_non_mutator, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_success, test/test_bundled_inputs.py::TestBundledInputs::test_large_tensor_with_inflation, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs_both_defined_failure, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs_neither_defined_failure, test/test_bundled_inputs.py::TestBundledInputs::test_non_tensors, test/test_bundled_inputs.py::TestBundledInputs::test_rejected_tensors, test/test_bundled_inputs.py::TestBundledInputs::test_single_tensors 2025-08-26T21:41:21.9374357Z 2025-08-26T21:41:25.6300635Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:41:25.6303825Z import pkg_resources 2025-08-26T21:41:25.8247407Z Running test_monitor 1/1 ... [2025-08-26 21:41:25.824319] 2025-08-26T21:41:25.8248125Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:41:25.8253282Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_monitor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:41:25.824950] 2025-08-26T21:41:30.8683115Z 2025-08-26T21:41:30.8684252Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_9b773f31aa23a6d1_.log 2025-08-26T21:41:30.8693693Z Running 6 items in this shard: test/test_monitor.py::TestMonitor::test_event_handler, test/test_monitor.py::TestMonitor::test_fixed_count_stat, test/test_monitor.py::TestMonitor::test_interval_stat, test/test_monitor.py::TestMonitor::test_log_event, test/test_monitor.py::TestMonitor::test_wait_counter, test/test_monitor.py::TestMonitorTensorboard::test_event_handler 2025-08-26T21:41:30.8696752Z 2025-08-26T21:41:35.3577965Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:41:35.3581028Z import pkg_resources 2025-08-26T21:41:35.5986449Z Running test_sympy_utils 1/1 ... [2025-08-26 21:41:35.598223] 2025-08-26T21:41:35.5987296Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:41:35.6074953Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sympy_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:41:35.607027] 2025-08-26T21:41:57.3694992Z 2025-08-26T21:41:57.3696200Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_5bf15b232ef87a88_.log 2025-08-26T21:41:57.3765931Z Running 194 items in this shard: test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_where_coo_fill_value_0_cpu, test/test_masked.py::TestMaskedCPU::test_where_coo_fill_value_123_cpu, test/test_masked.py::TestMaskedCPU::test_where_csr_fill_value_0_cpu, test/test_masked.py::TestMaskedCPU::test_where_csr_fill_value_123_cpu, test/test_masked.py::TestMaskedCPU::test_where_hybrid_coo_fill_value_0_cpu, test/test_masked.py::TestMaskedCPU::test_where_hybrid_coo_fill_value_123_cpu 2025-08-26T21:41:57.3833016Z 2025-08-26T21:42:00.5000651Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:42:00.5003981Z import pkg_resources 2025-08-26T21:42:00.6219631Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-08-26 21:42:00.621611] 2025-08-26T21:42:00.6220492Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:42:00.6223676Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:42:00.621994] 2025-08-26T21:42:05.7237055Z 2025-08-26T21:42:05.7237941Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_ee5ae23b3bd294a9_.log 2025-08-26T21:42:05.7302517Z Running 209 items in this shard: test/test_sympy_utils.py::TestNumbers::test_float_cast, test/test_sympy_utils.py::TestNumbers::test_int_infinity, test/test_sympy_utils.py::TestNumbers::test_lt_self, test/test_sympy_utils.py::TestNumbers::test_mixed_oo_int_oo, test/test_sympy_utils.py::TestNumbers::test_relation, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_and_, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_bitwise_and, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_bitwise_or, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_or_, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_add_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_add_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_and_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_and_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_or_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_or_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_floordiv_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_floordiv_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_maximum_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_maximum_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_minimum_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_minimum_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mod_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mod_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mul_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mul_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_by_natural_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_by_natural_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_sub_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_sub_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_truediv_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_truediv_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_add, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_bitwise_and, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_bitwise_or, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_eq, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_floordiv, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_ge, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_gt, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_le, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_lt, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_maximum, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_minimum, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_mod, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_mul, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_ne, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_pow, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_pow_by_natural, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_sub, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_truediv, test/test_sympy_utils.py::TestValueRanges::test_bitwise_ref_range_fn_bitwise_and, test/test_sympy_utils.py::TestValueRanges::test_bitwise_ref_range_fn_bitwise_or, test/test_sympy_utils.py::TestValueRanges::test_mul_zero_unknown, test/test_sympy_utils.py::TestValueRanges::test_pow_half, test/test_sympy_utils.py::TestValueRanges::test_unary_bool_ref_range_fn_not_, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_abs_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_abs_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_ceil_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_ceil_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_exp_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_exp_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_floor_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_floor_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_log_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_log_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_neg_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_neg_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_reciprocal_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_reciprocal_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_sqrt_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_sqrt_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_square_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_square_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_abs, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_ceil, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_exp, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_floor, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_log, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_neg, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_reciprocal, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_sqrt, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_abs, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_add, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_and_, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_bitwise_and, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_bitwise_or, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_ceil, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_eq, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_exp, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_floor, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_floordiv, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_ge, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_gt, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_le, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_log, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_lt, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_maximum, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_minimum, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_mod, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_mul, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_ne, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_neg, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_not_, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_or_, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_pow, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_pow_by_natural, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_reciprocal, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_sqrt, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_sub, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_truediv, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_abs, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_add, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_and_, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_bitwise_and, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_bitwise_or, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_ceil, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_eq, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_exp, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_floor, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_floordiv, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_ge, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_gt, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_le, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_log, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_lt, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_maximum, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_minimum, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_mod, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_mul, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_ne, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_neg, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_not_, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_or_, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_pow, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_pow_by_natural, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_reciprocal, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_sqrt, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_sub, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_truediv, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_abs, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_add, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_and_, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_bitwise_and, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_bitwise_or, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_ceil, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_eq, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_exp, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_floor, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_floordiv, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_ge, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_gt, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_le, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_log, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_lt, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_maximum, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_minimum, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_mod, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_mul, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_ne, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_neg, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_not_, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_or_, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_pow, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_pow_by_natural, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_reciprocal, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_sqrt, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_sub, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_truediv, test/test_sympy_utils.py::TestSympySolve::test_addition, test/test_sympy_utils.py::TestSympySolve::test_floordiv_Equality, test/test_sympy_utils.py::TestSympySolve::test_floordiv_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_LessThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_Unequality, test/test_sympy_utils.py::TestSympySolve::test_floordiv_eq_simplify, test/test_sympy_utils.py::TestSympySolve::test_give_up, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_Equality, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_Unequality, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_LessThan, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_Equality, test/test_sympy_utils.py::TestSympySolve::test_noop_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_LessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_Unequality, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_Equality, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_LessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_Unequality, test/test_sympy_utils.py::TestSympySolve::test_simple_floordiv_gcd, test/test_sympy_utils.py::TestSympySolve::test_z3_proof_floordiv_eq_simplify, test/test_sympy_utils.py::TestSympyFunctions::test_pickle, test/test_sympy_utils.py::TestSingletonInt::test_basic, test/test_sympy_utils.py::TestIdentity::test_cast_identity_float, test/test_sympy_utils.py::TestIdentity::test_cast_identity_illegal, test/test_sympy_utils.py::TestIdentity::test_cast_identity_int, test/test_sympy_utils.py::TestIdentity::test_expand_identity, test/test_sympy_utils.py::TestTypedExpr::test_typed_expr 2025-08-26T21:42:05.7363952Z 2025-08-26T21:42:06.9970199Z 2025-08-26T21:42:06.9972312Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_786ec32d19c423d2_.log 2025-08-26T21:42:07.0425718Z Running 505 items in this shard: test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_rotation_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis2, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_4d, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_basic_lr, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_basic_ud, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_default_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_multiple_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestAny::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAny::test_nd, test/torch_np/numpy_tests/lib/test_function_base.py::TestAll::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAll::test_nd, test/torch_np/numpy_tests/lib/test_function_base.py::TestCopy::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCopy::test_order, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_average_class_without_dtype, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_basic, 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test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nan_behavior, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nan_q, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_no_p_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_out_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_empty_dim, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_list, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_no_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_scalar_q, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_scalar_q_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_sequence, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_correct_quantile_value, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_fraction, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_max_ulp, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_no_p_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_hypo, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_averaged_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_closest_observation, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_hazen, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_higher, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_interpolated_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_linear, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_lower, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_median_unbiased, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_midpoint, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_nearest, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_normal_unbiased, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_weibull, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_scalar_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_array_like, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_axis_keyword, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_basic_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_empty, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_extended_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_extended_axis_invalid, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis0, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis3, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis4, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior_3, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_out_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_overwrite_keyword, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_B_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_H_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_b_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_g_type_out_G, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_h_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_l_type_out_D 2025-08-26T21:42:07.0866878Z 2025-08-26T21:42:10.1167687Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:42:10.1170753Z import pkg_resources 2025-08-26T21:42:10.2991352Z Running functorch/test_vmap_registrations 1/1 ... [2025-08-26 21:42:10.298175] 2025-08-26T21:42:10.2992366Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:42:10.2994725Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap_registrations.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:42:10.298633] 2025-08-26T21:42:10.6920620Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:42:10.6923722Z import pkg_resources 2025-08-26T21:42:10.8934139Z Running torch_np/test_indexing 1/1 ... [2025-08-26 21:42:10.892833] 2025-08-26T21:42:10.8934984Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:42:10.8938585Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:42:10.893177] 2025-08-26T21:42:18.7209158Z 2025-08-26T21:42:18.7210868Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_ecbf8f6f538a7d0e_.log 2025-08-26T21:42:18.7214940Z Running 5 items in this shard: test/torch_np/test_indexing.py::TestAdvancedIndexing::test_advanced_separation_patterns, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_broadcast_and_numpy_compatibility, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_comprehensive_indexing, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_ellipsis, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_special_index_types 2025-08-26T21:42:18.7217106Z 2025-08-26T21:42:22.3158740Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:42:22.3160596Z import pkg_resources 2025-08-26T21:42:22.4415875Z Running optim/test_swa_utils 1/1 ... [2025-08-26 21:42:22.441188] 2025-08-26T21:42:22.4416436Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:42:22.4418780Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'optim/test_swa_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:42:22.441564] 2025-08-26T21:42:22.5758020Z 2025-08-26T21:42:22.5759599Z functorch/test_vmap_registrations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_registrations_1.1_70cc025bcb02ab71_.log 2025-08-26T21:42:22.6888304Z Running 1721 items in this shard: test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[_test::cat], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[_test::get_first], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[_test::leaky_relu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__and__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__and__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__iand__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__iand__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ior__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ior__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ixor__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ixor__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__or__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__or__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__xor__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__xor__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_add_batch_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_autocast_to_full_precision], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_autocast_to_reduced_precision], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_batch_norm_impl_index], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_batch_norm_impl_index_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Byte], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Char], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Double], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Float], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Half], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Long], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Short], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_choose_qparams_per_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_convolution.deprecated], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_convolution_double_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_convolution_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cufft_clear_plan_cache], 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test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_multigammaln], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_ndtr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_polygamma], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_psi], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_round], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_sinc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_softmax], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_xlogy.other_scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_xlogy.self_scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_xlogy], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::split.sizes], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::square], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::square_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sspaddmm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::stft.center], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::stft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::stride.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sum_to_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::svd.U], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::svd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapaxes], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapaxes_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapdims], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapdims_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_numel], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_size.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_storage_offset], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_stride.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::take_along_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensor_split.indices], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensor_split.sections], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensor_split.tensor_indices_or_sections], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensordot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::thnn_conv2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tile], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.device], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.dtype], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.dtype_layout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.other], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to_dense], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to_dense_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to_mkldnn_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trace_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapezoid.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapezoid.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapz.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapz.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::triplet_margin_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::type_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unflatten.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unflatten_dense_tensors], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unsafe_chunk], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_bicubic2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_bilinear2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_linear1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_trilinear3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::value_selecting_reduction_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vander], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::view_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vsplit.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vsplit.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vstack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.ScalarOther], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.ScalarSelf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where] 2025-08-26T21:42:22.8383132Z 2025-08-26T21:42:25.7507284Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:42:25.7509919Z import pkg_resources 2025-08-26T21:42:25.8261913Z 2025-08-26T21:42:25.8263389Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_e8cb8d66c4a69b04_.log 2025-08-26T21:42:25.8264744Z 2025-08-26T21:42:25.8766483Z Running cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 ... [2025-08-26 21:42:25.876071] 2025-08-26T21:42:25.8767804Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:42:25.8773275Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:42:25.876504] 2025-08-26T21:42:29.2062035Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:42:29.2065092Z import pkg_resources 2025-08-26T21:42:29.3429619Z Running dynamo/test_nested_graph_breaks 1/1 ... [2025-08-26 21:42:29.342548] 2025-08-26T21:42:29.3430433Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:42:29.3432603Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_nested_graph_breaks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:42:29.342908] 2025-08-26T21:42:32.6060344Z 2025-08-26T21:42:32.6062655Z cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic_1.1_216320094f61d539_.log 2025-08-26T21:42:32.6090146Z Running 23 items in this shard: test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_default_constructor_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_device_guard_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_device_guard_set_index_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_divide_neg_exp_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_exp_neg_is_leaf_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_fill_infinity_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_get_current_device_index_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_identity_does_not_hog_memory_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_is_contiguous_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_abs_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_amax_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_amax_vec_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_empty_like_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_is_cpu_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_narrow_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_new_empty_dtype_variant_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_ones_like_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_pad_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_transpose_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_zero__cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_neg_exp_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_slow_sgd_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_stream_cpu 2025-08-26T21:42:32.6117232Z 2025-08-26T21:42:32.8962608Z 2025-08-26T21:42:32.8964518Z dynamo/test_nested_graph_breaks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nested_graph_breaks_1.1_7064a91b59bfbe86_.log 2025-08-26T21:42:32.8966046Z 2025-08-26T21:42:36.2468589Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:42:36.2470438Z import pkg_resources 2025-08-26T21:42:36.3729604Z Running test_mkldnn_fusion 1/1 ... [2025-08-26 21:42:36.372564] 2025-08-26T21:42:36.3730460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:42:36.3733353Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:42:36.372981] 2025-08-26T21:42:36.9443579Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:42:36.9446912Z import pkg_resources 2025-08-26T21:42:37.0716968Z Running test_import_stats 1/1 ... [2025-08-26 21:42:37.071317] 2025-08-26T21:42:37.0717818Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:42:37.0720802Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_import_stats.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:42:37.071738] 2025-08-26T21:42:45.5036387Z 2025-08-26T21:42:45.5038369Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_0a9a57b1a53a1ebf_.log 2025-08-26T21:42:45.5041383Z Running 2 items in this shard: test/test_import_stats.py::TestImportTime::test_time_cuda_device_count, test/test_import_stats.py::TestImportTime::test_time_import_torch 2025-08-26T21:42:45.5043109Z 2025-08-26T21:42:49.1731439Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:42:49.1734943Z import pkg_resources 2025-08-26T21:42:49.3011112Z Running test_tensorboard 1/1 ... [2025-08-26 21:42:49.300589] 2025-08-26T21:42:49.3012081Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:42:49.3015810Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensorboard.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:42:49.301029] 2025-08-26T21:42:53.4738477Z 2025-08-26T21:42:53.4740475Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_718ecdaa7bf72a51_.log 2025-08-26T21:42:53.4774260Z Running 50 items in this shard: test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_autograd_np, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_histogram, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_histogram_raw, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_np, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_write, test/test_tensorboard.py::TestTensorBoardUtils::test_convert_to_HWC_dtype_remains_same, test/test_tensorboard.py::TestTensorBoardUtils::test_numpy_vid_uint8, test/test_tensorboard.py::TestTensorBoardUtils::test_prepare_video, test/test_tensorboard.py::TestTensorBoardUtils::test_to_HWC, test/test_tensorboard.py::TestTensorBoardWriter::test_writer, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_pathlib, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_summary_writer_close, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_summary_writer_ctx, test/test_tensorboard.py::TestTensorBoardEmbedding::test_embedding, test/test_tensorboard.py::TestTensorBoardEmbedding::test_embedding_64, test/test_tensorboard.py::TestTensorBoardSummary::test_audio, test/test_tensorboard.py::TestTensorBoardSummary::test_custom_scalars, test/test_tensorboard.py::TestTensorBoardSummary::test_empty_input, test/test_tensorboard.py::TestTensorBoardSummary::test_float32_image, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_auto, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_doane, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_fd, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_3_channel_batched, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_boxes, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_one_channel, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_one_channel_batched, test/test_tensorboard.py::TestTensorBoardSummary::test_image_without_channel, test/test_tensorboard.py::TestTensorBoardSummary::test_list_input, test/test_tensorboard.py::TestTensorBoardSummary::test_mesh, test/test_tensorboard.py::TestTensorBoardSummary::test_scalar_new_style, test/test_tensorboard.py::TestTensorBoardSummary::test_text, test/test_tensorboard.py::TestTensorBoardSummary::test_uint8_image, test/test_tensorboard.py::TestTensorBoardSummary::test_video, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_mlp_graph, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_nested_nn_squential, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_pytorch_graph, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_pytorch_graph_dict_input, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_torchvision_smoke, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_wrong_input_size, test/test_tensorboard.py::TestTensorBoardFigure::test_figure, test/test_tensorboard.py::TestTensorBoardFigure::test_figure_list, test/test_tensorboard.py::TestTensorBoardNumpy::test_pytorch_np_expect_fail, test/test_tensorboard.py::TestTensorBoardNumpy::test_scalar, test/test_tensorboard.py::TestTensorProtoSummary::test_complex_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_empty_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_float_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_half_tensor_proto_bfloat16_proto_type_14, test/test_tensorboard.py::TestTensorProtoSummary::test_half_tensor_proto_float16_proto_type_19, test/test_tensorboard.py::TestTensorProtoSummary::test_int_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_scalar_tensor_proto 2025-08-26T21:42:53.4807203Z 2025-08-26T21:42:55.1544734Z 2025-08-26T21:42:55.1546459Z test_ops_fwd_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_2.2_e31a3c313737472b_.log 2025-08-26T21:42:55.3002925Z Running 1591 items in this shard: test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_H_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_T_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___getitem___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmatmul___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmod___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmul___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rpow___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rpow___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rsub___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__batch_norm_with_update_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__chunk_cat_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__chunk_cat_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__native_batch_norm_legit_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__segment_reduce_lengths_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__softmax_backward_data_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_put_accumulate_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__upsample_bilinear2d_aa_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_abs_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acosh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addcdiv_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addcmul_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_decomposed_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmv_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmv_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addr_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_all_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_all_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_allclose_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_amax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_angle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_angle_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_any_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_any_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_partial_views_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_scatter_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_asin_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_asinh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atan2_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atan_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atanh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_1d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_2d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bfloat16_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bool_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_to_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bucketize_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_byte_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_byte_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cartesian_prod_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cat_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cauchy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cdouble_cpu_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_cross_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_det_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_diagonal_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_eig_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_eigh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_eigvals_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_householder_product_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_householder_product_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_inv_ex_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_inv_ex_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_ldl_factor_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_ldl_factor_ex_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_ldl_factor_ex_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_ldl_solve_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_lu_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_lu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_lu_factor_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_lu_factor_ex_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_lu_solve_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_matrix_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_matrix_rank_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_multi_dot_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_norm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_norm_subgradients_at_zero_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_pinv_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_qr_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_slogdet_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_slogdet_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_solve_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_solve_ex_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_solve_ex_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_solve_triangular_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_svd_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_svd_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_svdvals_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_svdvals_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_tensorinv_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_tensorinv_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_tensorsolve_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_vecdot_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_vecdot_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linalg_vector_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_linspace_tensor_overload_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_log1p_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_log2_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_log2_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_log_normal_cpu_float64, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logspace_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logspace_tensor_overload_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logspace_tensor_overload_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_logsumexp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_long_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_solve_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mH_cpu_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_scatter_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_scatter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_softmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_std_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_sum_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_sum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_var_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matrix_exp_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_maximum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_median_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_min_binary_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_min_reduction_no_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_min_reduction_with_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_minimum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mode_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_movedim_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_movedim_cpu_float64, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_grad_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_grad_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multi_head_attention_forward_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multilabel_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_circular_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_constant_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_constant_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pdist_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_poisson_nll_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_prelu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_relu6_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rrelu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_selu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softshrink_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softsign_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_threshold_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_unfold_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_unfold_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_upsample_bilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_static_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_fro_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_inf_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_inf_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_nuc_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_nuc_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_in_place_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_number_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ormqr_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_outer_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_4_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_positive_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_positive_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_prod_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_prod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_put_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_put_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_qr_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rad2deg_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rand_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ravel_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_real_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_renorm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_renorm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_repeat_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reshape_as_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reshape_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resize_as__cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resolve_conj_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resolve_neg_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_roll_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_round_decimals_neg_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rsqrt_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rsub_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scatter_add_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scatter_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scatter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scatter_reduce_amax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scatter_reduce_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scatter_reduce_prod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scatter_reduce_sum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_select_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sgn_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_short_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_short_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sigmoid_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_bartlett_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_cosine_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_exponential_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_gaussian_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_general_cosine_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_kaiser_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signbit_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_slice_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_slice_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_slice_scatter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sparse_mm_reduce_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sparse_sampled_addmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_bessel_j0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_chebyshev_polynomial_t_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_chebyshev_polynomial_u_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_chebyshev_polynomial_v_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_entr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_hermite_polynomial_h_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_i0e_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_i1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_log_ndtr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_modified_bessel_i0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_modified_bessel_k0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_u_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_v_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_spherical_bessel_j0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_zeta_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_split_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_split_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_split_list_args_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_split_with_sizes_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_split_with_sizes_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_split_with_sizes_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sqrt_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sqrt_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_square_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_square_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_squeeze_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_squeeze_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_squeeze_multiple_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_stack_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_stack_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_mean_unbiased_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_mean_unbiased_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_unbiased_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_stft_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_stft_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sum_to_size_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_svd_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_svd_lowrank_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_take_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tan_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tanh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tensor_split_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tensor_split_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tensordot_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tile_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_to_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_to_sparse_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_topk_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trace_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_transpose_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trapz_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tril_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tril_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_triu_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_triu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_true_divide_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_true_divide_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unflatten_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unfold_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unfold_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_uniform_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unique_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsafe_chunk_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsafe_chunk_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsqueeze_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsqueeze_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsqueeze_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_mean_unbiased_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vdot_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_complex_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vsplit_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vstack_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_where_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_where_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_xlogy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_zero__cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_zero__cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_zeros_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_zeros_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_zeros_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_zeros_like_cpu_float64 2025-08-26T21:42:55.4275555Z 2025-08-26T21:42:57.5584571Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:42:57.5587408Z import pkg_resources 2025-08-26T21:42:57.6866016Z Running nn/test_embedding 1/1 ... [2025-08-26 21:42:57.686065] 2025-08-26T21:42:57.6870028Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:42:57.6871878Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_embedding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:42:57.686511] 2025-08-26T21:42:59.0786490Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:42:59.0790252Z import pkg_resources 2025-08-26T21:42:59.2064710Z Running nn/test_dropout 1/1 ... [2025-08-26 21:42:59.205640] 2025-08-26T21:42:59.2065713Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:42:59.2067902Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_dropout.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:42:59.206103] 2025-08-26T21:43:05.3566343Z 2025-08-26T21:43:05.3567662Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_a5b0a3946e98d8ee_.log 2025-08-26T21:43:05.3575127Z Running 9 items in this shard: test/nn/test_dropout.py::TestDropoutNN::test_AlphaDropout, test/nn/test_dropout.py::TestDropoutNN::test_FeatureAlphaDropout, test/nn/test_dropout.py::TestDropoutNN::test_invalid_dropout_p, test/nn/test_dropout.py::TestDropoutNN::test_native_dropout_corner_case, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout1d_cpu_float64, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout2d_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout3d_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_empty_dropout_cpu 2025-08-26T21:43:05.3581295Z 2025-08-26T21:43:09.5177136Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:43:09.5180998Z import pkg_resources 2025-08-26T21:43:09.7558665Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-08-26 21:43:09.755298] 2025-08-26T21:43:09.7560229Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:43:09.7562959Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:43:09.755791] 2025-08-26T21:43:15.5528845Z 2025-08-26T21:43:15.5531072Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_1e1e27e2017b86fc_.log 2025-08-26T21:43:15.5795861Z Running 165 items in this shard: test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_from_pretrained, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_from_pretrained_padding_idx, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_functional, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_padding_idx_error, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_float32, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_float64, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int16, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int32, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int64, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int8, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_options, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_padding_idx, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_uint8, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_functional, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_max_norm, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_max_norm_unsorted_repeating_indices, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_sparse_basic, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_sparse_empty_tensor, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_from_pretrained, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_from_pretrained_options, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_include_last_offset, test/nn/test_embedding.py::TestEmbeddingNN::test_large_tensors, test/nn/test_embedding.py::TestEmbeddingNN::test_move_sparse_half_embedding, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_backward_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_1D_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_1D_padding_idx_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_2D_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_2D_padding_idx_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_dimension_errors_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_False_per_sample_weights_use_grad_False_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_False_per_sample_weights_use_grad_True_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_True_per_sample_weights_use_grad_False_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_True_per_sample_weights_use_grad_True_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_dense_grad_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_backward_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_fwd_AD_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_scalar_weight_error_cpu 2025-08-26T21:43:15.5946896Z 2025-08-26T21:43:16.0401446Z 2025-08-26T21:43:16.0403691Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_bc3ec75ab24222c4_.log 2025-08-26T21:43:16.0432616Z Running 50 items in this shard: test/torch_np/numpy_tests/lib/test_type_check.py::TestCommonType::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_1, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_2, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_3, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsscalar::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_isreal_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_list, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsrealobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsposinf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsneginf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_array, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad2, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_good, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_do_not_rewrite_previous_keyword, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_float, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestRealIfClose::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestArrayConversion::test_asfarray 2025-08-26T21:43:16.0456325Z 2025-08-26T21:43:19.8638310Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:43:19.8641983Z import pkg_resources 2025-08-26T21:43:20.0673592Z Running test_public_bindings 1/1 ... [2025-08-26 21:43:20.066662] 2025-08-26T21:43:20.0674413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:43:20.0676802Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_public_bindings.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:43:20.067144] 2025-08-26T21:43:20.7875631Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:43:20.7878717Z import pkg_resources 2025-08-26T21:43:20.9145802Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-08-26 21:43:20.913977] 2025-08-26T21:43:20.9148025Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:43:20.9150923Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:43:20.914402] 2025-08-26T21:43:26.7928473Z 2025-08-26T21:43:26.7930233Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_3f645f7edf4e077b_.log 2025-08-26T21:43:26.7997071Z Running 67 items in this shard: test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_assignment_value_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_list, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_onedim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_twodim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_shape_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broaderrors_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broken_sequence_not_nd_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index_2, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_fancy_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_tuple_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_everything_returns_views, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_array_to_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_negative_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_weird_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_memory_order, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_none_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_nontuple_ndindex, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reverse_strides_and_subspace_bufferinit, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reversed_strides_result_allocation, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_same_kind_index_casting, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_scalar_array_bool, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_bool_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_int_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_slicing_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_small_regressions, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_fancy_indices_special_case, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_not_possible, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_out_of_bounds, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_tuple_subclass, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_uncontiguous_subspace_assignment, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index0, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index1, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index2, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_subspace, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_index_is_larger, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepend_not_one, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepending_ones, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_simple_broadcasting_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFancyIndexingCast::test_boolean_index_cast_assign, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_1d, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_boolean, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_multidim, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_sequence_multiplication, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_reduce_axis_float_index, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_slicing, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_bool_as_int_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_fast_path, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_weirdness, test/torch_np/numpy_tests/core/test_indexing.py::TestArrayToIndexDeprecation::test_array_to_index_error, test/torch_np/numpy_tests/core/test_indexing.py::TestNonIntegerArrayLike::test_basic, test/torch_np/numpy_tests/core/test_indexing.py::TestMultipleEllipsisError::test_basic 2025-08-26T21:43:26.8063263Z 2025-08-26T21:43:31.7236819Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:43:31.7241195Z import pkg_resources 2025-08-26T21:43:31.9477246Z Running test_maskedtensor 1/1 ... [2025-08-26 21:43:31.947155] 2025-08-26T21:43:31.9478644Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:43:31.9484360Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_maskedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:43:31.947903] 2025-08-26T21:43:34.4677887Z 2025-08-26T21:43:34.4679610Z test_public_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_public_bindings_1.1_cc1dd9a3593d34ce_.log 2025-08-26T21:43:34.4683992Z Running 4 items in this shard: test/test_public_bindings.py::TestPublicBindings::test_correct_module_names, test/test_public_bindings.py::TestPublicBindings::test_modules_can_be_imported, test/test_public_bindings.py::TestPublicBindings::test_no_new_bindings, test/test_public_bindings.py::TestPublicBindings::test_no_new_reexport_callables 2025-08-26T21:43:34.4687173Z 2025-08-26T21:43:37.0657395Z 2025-08-26T21:43:37.0658847Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_4d02df8117ec1a57_.log 2025-08-26T21:43:37.0665659Z Running 8 items in this shard: test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_binary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_transpose_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_nnc, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_linear_binary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_linear_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_single_conv, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_unsupported_conv 2025-08-26T21:43:37.0670768Z 2025-08-26T21:43:38.4360646Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:43:38.4364294Z import pkg_resources 2025-08-26T21:43:38.5603599Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-08-26 21:43:38.559912] 2025-08-26T21:43:38.5605272Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:43:38.5608066Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:43:38.560320] 2025-08-26T21:43:40.4073877Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:43:40.4077292Z import pkg_resources 2025-08-26T21:43:40.5328038Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-26 21:43:40.532319] 2025-08-26T21:43:40.5329184Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:43:40.5331617Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:43:40.532715] 2025-08-26T21:43:43.9843054Z 2025-08-26T21:43:43.9844644Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_a1276fe44107baf6_.log 2025-08-26T21:43:43.9890226Z Running 60 items in this shard: test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_arr_weights_mismatch, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_big_arrays, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_bin_array_dims, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_bin_edge_cases, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_bool_conversion, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_density, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_empty, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_error_binnum_type, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_exotic_weights, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_f32_rounding, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_finite_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_histogram_bin_edges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_invalid_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_last_bin_inclusive_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_no_side_effects, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_object_array_of_0d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_one_bin, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_outliers, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_precision, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_signed_overflow_bounds, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_signed_overflow_bounds_2, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_simple, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_some_nan_values, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_type, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_unsigned_monotonicity_check, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_weights, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_empty, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_incorrect_methods, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_limited_variance, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_novariance, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_outlier, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_scott_vs_stone, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_auto, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_doane, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_fd, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_rice, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_scott, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_stone, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_sturges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_simple, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_simple_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_simple_weighted, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_small, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_bins_array, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_bins_error_2, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_bins_errors, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_density_non_uniform_1d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_density_non_uniform_2d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_edge_dtype, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_empty, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_equal_edges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_finite_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_identical_samples, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_inf_edges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_large_integers, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_rightmost_binedge, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_shape_3d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_shape_4d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_simple, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_weights 2025-08-26T21:43:43.9936880Z 2025-08-26T21:43:47.5527165Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:43:47.5530538Z import pkg_resources 2025-08-26T21:43:47.6760679Z Running test_schema_check 1/1 ... [2025-08-26 21:43:47.675529] 2025-08-26T21:43:47.6761464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:43:47.6764121Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_schema_check.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:43:47.675923] 2025-08-26T21:43:53.0568117Z 2025-08-26T21:43:53.0569701Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_136e7e0f9b776da8_.log 2025-08-26T21:43:53.1267635Z Running 955 items in this shard: test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn0, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn1, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn10, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn11, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn12, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn13, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn14, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn15, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn16, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn17, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn18, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn19, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn2, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn20, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn21, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn22, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn23, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn24, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn25, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn26, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn27, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn28, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn29, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn3, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn30, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn31, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn32, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn33, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn34, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn35, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn36, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn37, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn38, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn39, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn4, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn40, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn41, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn42, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn43, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn44, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn45, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn46, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn47, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn48, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn49, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn5, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn50, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn51, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn52, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn53, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn54, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn55, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn56, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn57, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn6, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn7, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn8, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn9, test/test_maskedtensor.py::TestUnary::test_unary_fn0, test/test_maskedtensor.py::TestUnary::test_unary_fn1, test/test_maskedtensor.py::TestUnary::test_unary_fn10, test/test_maskedtensor.py::TestUnary::test_unary_fn11, test/test_maskedtensor.py::TestUnary::test_unary_fn12, test/test_maskedtensor.py::TestUnary::test_unary_fn13, test/test_maskedtensor.py::TestUnary::test_unary_fn14, test/test_maskedtensor.py::TestUnary::test_unary_fn15, test/test_maskedtensor.py::TestUnary::test_unary_fn16, test/test_maskedtensor.py::TestUnary::test_unary_fn17, test/test_maskedtensor.py::TestUnary::test_unary_fn18, test/test_maskedtensor.py::TestUnary::test_unary_fn19, test/test_maskedtensor.py::TestUnary::test_unary_fn2, test/test_maskedtensor.py::TestUnary::test_unary_fn20, test/test_maskedtensor.py::TestUnary::test_unary_fn21, test/test_maskedtensor.py::TestUnary::test_unary_fn22, test/test_maskedtensor.py::TestUnary::test_unary_fn23, test/test_maskedtensor.py::TestUnary::test_unary_fn24, test/test_maskedtensor.py::TestUnary::test_unary_fn25, test/test_maskedtensor.py::TestUnary::test_unary_fn26, test/test_maskedtensor.py::TestUnary::test_unary_fn27, test/test_maskedtensor.py::TestUnary::test_unary_fn28, test/test_maskedtensor.py::TestUnary::test_unary_fn29, test/test_maskedtensor.py::TestUnary::test_unary_fn3, test/test_maskedtensor.py::TestUnary::test_unary_fn30, test/test_maskedtensor.py::TestUnary::test_unary_fn31, test/test_maskedtensor.py::TestUnary::test_unary_fn32, test/test_maskedtensor.py::TestUnary::test_unary_fn33, test/test_maskedtensor.py::TestUnary::test_unary_fn34, test/test_maskedtensor.py::TestUnary::test_unary_fn35, test/test_maskedtensor.py::TestUnary::test_unary_fn36, test/test_maskedtensor.py::TestUnary::test_unary_fn37, test/test_maskedtensor.py::TestUnary::test_unary_fn38, test/test_maskedtensor.py::TestUnary::test_unary_fn39, test/test_maskedtensor.py::TestUnary::test_unary_fn4, test/test_maskedtensor.py::TestUnary::test_unary_fn40, test/test_maskedtensor.py::TestUnary::test_unary_fn41, test/test_maskedtensor.py::TestUnary::test_unary_fn42, test/test_maskedtensor.py::TestUnary::test_unary_fn43, test/test_maskedtensor.py::TestUnary::test_unary_fn44, test/test_maskedtensor.py::TestUnary::test_unary_fn45, test/test_maskedtensor.py::TestUnary::test_unary_fn46, test/test_maskedtensor.py::TestUnary::test_unary_fn47, test/test_maskedtensor.py::TestUnary::test_unary_fn48, test/test_maskedtensor.py::TestUnary::test_unary_fn49, test/test_maskedtensor.py::TestUnary::test_unary_fn5, test/test_maskedtensor.py::TestUnary::test_unary_fn50, test/test_maskedtensor.py::TestUnary::test_unary_fn51, test/test_maskedtensor.py::TestUnary::test_unary_fn52, test/test_maskedtensor.py::TestUnary::test_unary_fn53, test/test_maskedtensor.py::TestUnary::test_unary_fn54, test/test_maskedtensor.py::TestUnary::test_unary_fn55, 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test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout2_cpu_float64, test/test_maskedtensor.py::TestBasicsCPU::test_add_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_contiguous_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_diff_dim_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_diff_layouts_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_diff_sizes_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_grad_warning_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_sparse_coo_values_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_sparse_csr_values_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_sparse_layout_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_tensor_inputs_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_nn_unfold_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_softmax_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_stack_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_and_sparse_coo_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_and_sparse_csr_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_device_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dtype_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_sparse_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_unfold_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_where_cpu 2025-08-26T21:43:53.1942039Z 2025-08-26T21:43:56.3982348Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:43:56.3985275Z import pkg_resources 2025-08-26T21:43:56.5221416Z Running functorch/test_vmap 2/2 ... [2025-08-26 21:43:56.521531] 2025-08-26T21:43:56.5222433Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:43:56.5224355Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:43:56.521911] 2025-08-26T21:43:59.7942127Z 2025-08-26T21:43:59.7944250Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_52281f7599dbe158_.log 2025-08-26T21:43:59.8063390Z Running 292 items in this shard: test/lazy/test_ts_opinfo.py::TestLazyTensor::testConvolutionBackward, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_tensor_ctr, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_view_mark_step_preserved, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcdiv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bernoulli_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_pow_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic 2025-08-26T21:43:59.8179354Z 2025-08-26T21:44:03.1101633Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:44:03.1103211Z import pkg_resources 2025-08-26T21:44:03.2330697Z Running test_mkldnn 1/1 ... [2025-08-26 21:44:03.232688] 2025-08-26T21:44:03.2331471Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:44:03.2334007Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:44:03.233065] 2025-08-26T21:45:45.5601509Z 2025-08-26T21:45:45.5603177Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_c4b721e87ffd946d_.log 2025-08-26T21:45:45.5631356Z Running 89 items in this shard: test/test_mkldnn.py::TestMkldnnCPU::test_0_dimension_tensor_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_adaptive_avg_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_adaptive_avg_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_add_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_autograd_from_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_autograd_to_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_stride_none_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_clone_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv1d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv1d_functional_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv2d_legacy_jit_model_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_1d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_1d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_2d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_2d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_3d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_3d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_fp32_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose1d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_fp32_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conversion_byte_char_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conversion_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_copy_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_default_use_parent_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_detach_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_empty_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_gelu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_gelu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_generic_precision_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_is_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_is_mkldnn_jit_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_legacy_new_failure_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_backward_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_lowp_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_linear_lowp_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_linear_non_contiguous_weight_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_lstm_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_matmul_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_matmul_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_stride_none_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool_unsupported_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_conv_shapecheck_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_error_on_zero_stride_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_scaled_mm_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_setflags_nowarn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mlkdnn_get_set_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mul_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_prelu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_prelu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu__cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_inplace_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_repr_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_backward_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_blocked_format_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_resnet18_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_resnext50_32x4d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_set_data_tensorimpl_type_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_sigmoid_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_softmax_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_tanh_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_transpose_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_transpose_invalid_dime_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_unsupported_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_view_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_zero__cpu 2025-08-26T21:45:45.5654375Z 2025-08-26T21:45:48.6912964Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:45:48.6917015Z import pkg_resources 2025-08-26T21:45:48.8156923Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-08-26 21:45:48.815205] 2025-08-26T21:45:48.8158338Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:45:48.8161322Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:45:48.815659] 2025-08-26T21:45:53.8393528Z 2025-08-26T21:45:53.8397458Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_07a1d5c938c71cf3_.log 2025-08-26T21:45:53.8437473Z Running 53 items in this shard: test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dlpack_destructor_exception, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dlpack_device, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype1, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype2, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype3, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype4, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype5, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype6, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype7, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype8, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype9, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dunder_dlpack_refcount, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dunder_dlpack_stream, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_from_dlpack_refcount, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_from_torch, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_1, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_10, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_11, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_12, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_13, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_14, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_15, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_16, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_17, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_18, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_19, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_2, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_20, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_21, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_22, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_23, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_24, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_25, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_26, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_27, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_28, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_29, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_3, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_30, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_31, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_32, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_4, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_5, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_6, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_7, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_8, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_9, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_ndim0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_non_contiguous, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_readonly, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_to_torch 2025-08-26T21:45:53.8475918Z 2025-08-26T21:45:57.3838740Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:45:57.3842255Z import pkg_resources 2025-08-26T21:45:57.5183944Z Running test_unary_ufuncs 1/1 ... [2025-08-26 21:45:57.517594] 2025-08-26T21:45:57.5184743Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:45:57.5186547Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:45:57.518028] 2025-08-26T21:52:21.5501249Z 2025-08-26T21:52:21.5504244Z functorch/test_vmap 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_2.2_9dfef6873807a92c_.log 2025-08-26T21:52:21.6033521Z Running 1071 items in this shard: test/functorch/test_vmap.py::TestVmapAPI::test_backward_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_batched_gradient_basic, test/functorch/test_vmap.py::TestVmapAPI::test_checkpoint, test/functorch/test_vmap.py::TestVmapAPI::test_different_map_dim_size_raises, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_does_not_warn_by_default, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_multiple_returns, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warns_when_warnings_are_enabled, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_zero_dim, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_tensors, test/functorch/test_vmap.py::TestVmapAPI::test_functools_partial, test/functorch/test_vmap.py::TestVmapAPI::test_in_dims_wrong_type_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_same_levels, test/functorch/test_vmap.py::TestVmapAPI::test_integer_in_dim_but_not_tensor_input_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_outputs, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_outputs2, test/functorch/test_vmap.py::TestVmapAPI::test_nested_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_different_map_dim, test/functorch/test_vmap.py::TestVmapAPI::test_nn_module, test/functorch/test_vmap.py::TestVmapAPI::test_non_default_in_dims_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_non_tensor_output_raises, test/functorch/test_vmap.py::TestVmapAPI::test_nonzero_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_must_be_int_or_collection_of_int_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_none, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns_broadcast_nested, test/functorch/test_vmap.py::TestVmapAPI::test_reshape_dim_into, test/functorch/test_vmap.py::TestVmapAPI::test_restore_vmap_pytree_input_output, test/functorch/test_vmap.py::TestVmapAPI::test_restore_vmap_unexpanded_outputs, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_add, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_add_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_mul, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_mul_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_pow, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_pow_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_sub, test/functorch/test_vmap.py::TestVmapOperators::test_as_strided, test/functorch/test_vmap.py::TestVmapOperators::test_bmm, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_clamp, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_inplace_variant_clamp_max_, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_inplace_variant_clamp_min_, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_variant_clamp_min, test/functorch/test_vmap.py::TestVmapOperators::test_conj, test/functorch/test_vmap.py::TestVmapOperators::test_conj_bit, test/functorch/test_vmap.py::TestVmapOperators::test_contiguous, test/functorch/test_vmap.py::TestVmapOperators::test_conv2d, test/functorch/test_vmap.py::TestVmapOperators::test_copy_, test/functorch/test_vmap.py::TestVmapOperators::test_diagonal, test/functorch/test_vmap.py::TestVmapOperators::test_imag, test/functorch/test_vmap.py::TestVmapOperators::test_is_contiguous, test/functorch/test_vmap.py::TestVmapOperators::test_mean_dim, test/functorch/test_vmap.py::TestVmapOperators::test_mm, test/functorch/test_vmap.py::TestVmapOperators::test_mv, test/functorch/test_vmap.py::TestVmapOperators::test_narrow, test/functorch/test_vmap.py::TestVmapOperators::test_real, test/functorch/test_vmap.py::TestVmapOperators::test_repeat, test/functorch/test_vmap.py::TestVmapOperators::test_reshape_as, test/functorch/test_vmap.py::TestVmapOperators::test_roll_no_dims, test/functorch/test_vmap.py::TestVmapOperators::test_slogdet, test/functorch/test_vmap.py::TestVmapOperators::test_squeeze, test/functorch/test_vmap.py::TestVmapOperators::test_sum, test/functorch/test_vmap.py::TestVmapOperators::test_sum_dim, test/functorch/test_vmap.py::TestVmapOperators::test_trace, test/functorch/test_vmap.py::TestVmapOperators::test_transpose, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_acos, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_asin, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_ceil, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_cosh, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_digamma, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_exp, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_expm1, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_frac, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_lgamma, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_log1p, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_relu, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_round, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_rsqrt, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_sign, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_sinh, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_tanh, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_trunc, test/functorch/test_vmap.py::TestVmapOperators::test_unbind, test/functorch/test_vmap.py::TestVmapOperators::test_unsafe_view, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_0_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_0_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_0_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_1_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_1_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_0_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_0_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_0_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_0_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_1_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_1_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_0_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_0_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_0_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_1_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_1_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_2_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_2_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_2_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_2_out_dim_2_randomness_error, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_0d_tensor_index_put_inplace_False_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_0d_tensor_index_put_inplace_True_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_False_track_running_stats_False_affine_True_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_False_track_running_stats_True_affine_False_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_False_track_running_stats_True_affine_True_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_True_track_running_stats_False_affine_True_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_True_track_running_stats_True_affine_True_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_flatten_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_foo_like_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_group_norm_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_linalg_svd_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_nested_advanced_indexing_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyCatCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyCubeCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyNMSCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyNonzeroCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpySortAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpySplitCopyCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpySplitCopyWithIntCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyViewCopyCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule___getitem___functorch_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule___radd___cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule___rand___cpu_int64, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule___rdiv___cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule___rmul___cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule___rpow___cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule___rsub___cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule___rxor___cpu_int64, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule__batch_norm_with_update_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule__chunk_cat_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule__native_batch_norm_legit_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule__segment_reduce_lengths_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule__segment_reduce_offsets_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule__unsafe_masked_index_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_abs_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_acosh_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_addmm_decomposed_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_alias_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_all_cpu_float32, 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test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_stft_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_sum_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_sum_to_size_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_t_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_take_along_dim_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_take_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_tan_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_tanh_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_tensordot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_to_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_topk_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_trapezoid_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_trapz_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_tril_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_tril_indices_cpu_int64, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_triu_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unbind_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_uniform_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unique_consecutive_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsafe_chunk_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsqueeze_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsqueeze_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_var_unbiased_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_as_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_as_real_cpu_complex64, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_vsplit_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_vstack_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_zeros_like_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cholesky_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cholesky_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_det_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_diagonal_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eigvalsh_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_householder_product_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_inv_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_ldl_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lstsq_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_factor_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_factor_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_rank_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_hermitian_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_singular_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_qr_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_slogdet_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_triangular_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vecdot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vector_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_multi_dot_failure_1D_input_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_add_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_binary_cross_entropy_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_diagonal_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_expand_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_index_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_inplace_view_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log_softmax_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_logsumexp_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_permute_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_error_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_reshape_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sdpa_backend0_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sigmoid_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_slice_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_threshold_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_unrelated_output_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_unrelated_output_multiple_grad_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacrev_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vjp_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vmap_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_different_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_same_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_different_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_error_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_error_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_same_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_first_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_last_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_last_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_last_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_last_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_none_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_first_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_last_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_none_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_jacfwd_with_random_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_error_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_error_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_same_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_2_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_all_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_any_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check_ok, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_cat_batching_rule_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_unbatched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check 2025-08-26T21:52:21.6571658Z 2025-08-26T21:52:24.7772185Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:52:24.7775536Z import pkg_resources 2025-08-26T21:52:24.9006530Z Running test_accelerator 1/1 ... [2025-08-26 21:52:24.900177] 2025-08-26T21:52:24.9007369Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:52:24.9009478Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_accelerator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:52:24.900525] 2025-08-26T21:52:27.9984766Z 2025-08-26T21:52:27.9986147Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_876fe5b89508d075_.log 2025-08-26T21:52:27.9987445Z 2025-08-26T21:52:30.4046311Z 2025-08-26T21:52:30.4047478Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_6e7b14b930015203_.log 2025-08-26T21:52:30.6940332Z Running 6027 items in this shard: test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_custom_ops_output_is_input, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_custom_ops_secretly_aliasing, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_custom_ops_secretly_mutating, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_multiple_operators, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_multiple_operators_centered, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_outputs_unexpectedly_aliasing, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_simple, test/test_schema_check.py::TestSchemaCheck::test_is_alias_of_basic, test/test_schema_check.py::TestSchemaCheck::test_is_alias_of_empty_container, test/test_schema_check.py::TestSchemaCheck::test_mutation_check_fail, test/test_schema_check.py::TestSchemaCheck::test_mutation_check_fail_multiple_operators, test/test_schema_check.py::TestSchemaCheck::test_overlaps_basic, test/test_schema_check.py::TestSchemaCheck::test_overlaps_empty_container, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_empty_list_input, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_aliasing_inputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_default_replaced, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_device_input, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_kwarg_tensor, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_list_input, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_mutable_inputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_nested_training_op, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_training_op, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_wildcard_after, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_with_multiple_outputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_with_multiple_outputs_aliasing, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_aliasing_inputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_aliasing_outputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_as_strided, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_multiple_outputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_mutation, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_none, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_resize_, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_operator_order, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_operator_order_without_grad, test/test_schema_check.py::TestSchemaCheck::test_schema_info_bind_basic, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rand___cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rand___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rand___cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rand___cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rand___cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rand___cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_int32, 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test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_uint8 2025-08-26T21:52:30.9751754Z 2025-08-26T21:52:31.1888071Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:52:31.1891153Z import pkg_resources 2025-08-26T21:52:31.3140614Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-08-26 21:52:31.313674] 2025-08-26T21:52:31.3141133Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:52:31.3143994Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:52:31.314085] 2025-08-26T21:52:33.7727205Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:52:33.7730084Z import pkg_resources 2025-08-26T21:52:33.9481863Z Running test_jit_autocast 1/1 ... [2025-08-26 21:52:33.947701] 2025-08-26T21:52:33.9482706Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:52:33.9486388Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:52:33.948144] 2025-08-26T21:52:34.9350884Z 2025-08-26T21:52:34.9352460Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_c502b92c5be806bc_.log 2025-08-26T21:52:34.9374322Z Running 33 items in this shard: test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_scalar_comparisons, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value0, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value1, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value10, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value11, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value4, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value5, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value6, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value7, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value8, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value9, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_s, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_string, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_0D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_1D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_2D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_float32, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_int, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list-list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_literal 2025-08-26T21:52:34.9395421Z 2025-08-26T21:52:38.1222406Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:52:38.1225265Z import pkg_resources 2025-08-26T21:52:38.2505714Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-08-26 21:52:38.249965] 2025-08-26T21:52:38.2506908Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:52:38.2511781Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:52:38.250408] 2025-08-26T21:52:43.7758274Z 2025-08-26T21:52:43.7760092Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_8552c3d3496a0162_.log 2025-08-26T21:52:43.7813654Z Running 62 items in this shard: test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary0_prepend0_append_nan_expected_to_end, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary1_prepend1_append1_expected_to_begin, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary2_prepend_nan_append_nan_expected_to_begin, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary0_prepend_65536_append_65540_expected0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary1_prepend1_append1_expected1, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary2_prepend_0_append_0_expected2, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary3_prepend_3_append_-9_expected3, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_both_arrays_are_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_both_arrays_have_structured_dtype, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_char_array, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_errors, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_first_array_is_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_hit_alternate_algorithm, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_second_array_is_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_table_timedelta_fails, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_timedelta_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_timedelta_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_with_arrays_containing_tuples, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d_array_like, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d_indices, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_manyways, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d_char_array, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d_unique, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setxor1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_union1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_2, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_with_axis_axis_-1, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_with_axis_axis_0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_errors, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_list, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_zeros, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_nanequals, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_sort_order_with_axis 2025-08-26T21:52:43.7866132Z 2025-08-26T21:52:48.6467037Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:52:48.6470434Z import pkg_resources 2025-08-26T21:52:48.8190487Z Running test_dlpack 1/1 ... [2025-08-26 21:52:48.818270] 2025-08-26T21:52:48.8191577Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:52:48.8196872Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:52:48.818713] 2025-08-26T21:52:54.5439043Z 2025-08-26T21:52:54.5440431Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_3c8f7deeecf291ea_.log 2025-08-26T21:52:54.5518672Z Running 142 items in this shard: test/test_dlpack.py::TestTorchDlPackCPU::test_automatically_select_in_creation_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_copy_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_convert_default_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_cuda_per_thread_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_default_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_is_conj_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_non_strided_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_requires_grad_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_invalid_cpu_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_invalid_cuda_streams_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_invalid_rocm_streams_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_normalize_strides_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_shared_storage_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_on_different_device_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_unsupported_dtype_error_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_max_version_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_needs_copy_error_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_no_copy_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_numpy_dlpack_protocol_conversion_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_unsupported_device_error_cpu 2025-08-26T21:52:54.5592145Z 2025-08-26T21:52:55.4799497Z 2025-08-26T21:52:55.4800911Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_8a172afe961593f2_.log 2025-08-26T21:52:55.4818983Z Running 54 items in this shard: test/test_jit_autocast.py::TestAutocast::test_autocast_api, test/test_jit_autocast.py::TestAutocast::test_autocast_api_not_supported, test/test_jit_autocast.py::TestAutocast::test_autocast_autodiff, test/test_jit_autocast.py::TestAutocast::test_autocast_decorator, test/test_jit_autocast.py::TestAutocast::test_autocast_decorator_outside_jit, test/test_jit_autocast.py::TestAutocast::test_autocast_mixed_dtypes, test/test_jit_autocast.py::TestAutocast::test_callees, test/test_jit_autocast.py::TestAutocast::test_callees_with_autocast_off, test/test_jit_autocast.py::TestAutocast::test_callees_with_autocast_on, test/test_jit_autocast.py::TestAutocast::test_conditional_autocast, test/test_jit_autocast.py::TestAutocast::test_control_flow, test/test_jit_autocast.py::TestAutocast::test_divergent_autocast, test/test_jit_autocast.py::TestAutocast::test_divergent_types, test/test_jit_autocast.py::TestAutocast::test_duplicate_inputs, test/test_jit_autocast.py::TestAutocast::test_eager_and_script, test/test_jit_autocast.py::TestAutocast::test_explicit_casts, test/test_jit_autocast.py::TestAutocast::test_fp32_policy, test/test_jit_autocast.py::TestAutocast::test_fp32_policy_with_fp64, test/test_jit_autocast.py::TestAutocast::test_fp32_set_opt_dtype_policy, test/test_jit_autocast.py::TestAutocast::test_fp32_set_opt_dtype_policy_fp64, test/test_jit_autocast.py::TestAutocast::test_ignore_amp, test/test_jit_autocast.py::TestAutocast::test_implicitly_nested_autocast, test/test_jit_autocast.py::TestAutocast::test_inplace, test/test_jit_autocast.py::TestAutocast::test_jit_autocast_softmax_cpu, test/test_jit_autocast.py::TestAutocast::test_jit_autocast_softmax_gpu, test/test_jit_autocast.py::TestAutocast::test_jit_call_method_under_autocast, test/test_jit_autocast.py::TestAutocast::test_jit_executor_under_autocast, test/test_jit_autocast.py::TestAutocast::test_jit_freeze_autocast_basic, test/test_jit_autocast.py::TestAutocast::test_jit_freeze_autocast_constants, test/test_jit_autocast.py::TestAutocast::test_jit_generic_autocast, test/test_jit_autocast.py::TestAutocast::test_linear_bf16, test/test_jit_autocast.py::TestAutocast::test_minimal, test/test_jit_autocast.py::TestAutocast::test_minimal_cpu, test/test_jit_autocast.py::TestAutocast::test_minimal_off, test/test_jit_autocast.py::TestAutocast::test_nested_autocast, test/test_jit_autocast.py::TestAutocast::test_promote_policy, test/test_jit_autocast.py::TestAutocast::test_promote_policy_fp64, test/test_jit_autocast.py::TestAutocast::test_reused_autocast, test/test_jit_autocast.py::TestAutocast::test_reused_autocast_expr, test/test_jit_autocast.py::TestAutocast::test_runtime_autocast_state, test/test_jit_autocast.py::TestAutocast::test_runtime_autocast_state_expr, test/test_jit_autocast.py::TestAutocast::test_script_and_tracing, test/test_jit_autocast.py::TestAutocast::test_script_and_tracing_with_autocast, test/test_jit_autocast.py::TestAutocast::test_script_module, test/test_jit_autocast.py::TestAutocast::test_tracing_and_script, test/test_jit_autocast.py::TestAutocast::test_tracing_with_autocast_and_script, test/test_jit_autocast.py::TestJitTraceAutocast::test_cat_promote, test/test_jit_autocast.py::TestJitTraceAutocast::test_generate_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_nchw_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_nhwc_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_cpu, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_cuda, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_enable_and_check, test/test_jit_autocast.py::TestJitTraceAutocast::test_scripted_aliasing 2025-08-26T21:52:55.4835855Z 2025-08-26T21:52:57.7539630Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:52:57.7542867Z import pkg_resources 2025-08-26T21:52:57.8813307Z Running profiler/test_profiler_tree 1/1 ... [2025-08-26 21:52:57.880767] 2025-08-26T21:52:57.8814164Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:52:57.8816744Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:52:57.881207] 2025-08-26T21:52:59.2537903Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:52:59.2541442Z import pkg_resources 2025-08-26T21:52:59.4377027Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-08-26 21:52:59.436569] 2025-08-26T21:52:59.4378034Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:52:59.4380252Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:52:59.437011] 2025-08-26T21:53:02.5029803Z 2025-08-26T21:53:02.5031607Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_877225df373bee73_.log 2025-08-26T21:53:02.5043106Z Running 10 items in this shard: test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda_detailed, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda_with_stream, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_memory, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_memory_and_stack, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_record_function, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_modules, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_torch_dispatch, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_torch_function 2025-08-26T21:53:02.5055813Z 2025-08-26T21:53:04.2586052Z 2025-08-26T21:53:04.2587828Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_2a6ccaa92fe668ba_.log 2025-08-26T21:53:04.2617113Z Running 65 items in this shard: test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_bool, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_floating, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_floating_overflow, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromInt::test_intp, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromInt::test_uint64_from_negative, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t23, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t23, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t23 2025-08-26T21:53:04.2644689Z 2025-08-26T21:53:05.7583374Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:53:05.7585097Z import pkg_resources 2025-08-26T21:53:05.8832132Z Running torch_np/test_reductions 1/1 ... [2025-08-26 21:53:05.882827] 2025-08-26T21:53:05.8832770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:53:05.8835068Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:53:05.883221] 2025-08-26T21:53:07.9256752Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:53:07.9259868Z import pkg_resources 2025-08-26T21:53:08.0887120Z Running lazy/test_reuse_ir 1/1 ... [2025-08-26 21:53:08.088377] 2025-08-26T21:53:08.0887620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:53:08.0890737Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:53:08.088732] 2025-08-26T21:53:12.1101657Z 2025-08-26T21:53:12.1103178Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_862981d1c24eaa64_.log 2025-08-26T21:53:12.1106381Z Running 4 items in this shard: test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAdd, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSub, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSubFallback, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testBatchNorm 2025-08-26T21:53:12.1109137Z 2025-08-26T21:53:13.4185806Z 2025-08-26T21:53:13.4187542Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_202b0b7e09702ab8_.log 2025-08-26T21:53:13.5060474Z Running 966 items in this shard: test/torch_np/test_reductions.py::TestFlatnonzero::test_basic, test/torch_np/test_reductions.py::TestAny::test_basic, test/torch_np/test_reductions.py::TestAny::test_method_vs_function, test/torch_np/test_reductions.py::TestAny::test_nd, test/torch_np/test_reductions.py::TestAll::test_basic, test/torch_np/test_reductions.py::TestAll::test_method_vs_function, test/torch_np/test_reductions.py::TestAll::test_nd, test/torch_np/test_reductions.py::TestMean::test_mean, test/torch_np/test_reductions.py::TestMean::test_mean_float16, test/torch_np/test_reductions.py::TestMean::test_mean_values, test/torch_np/test_reductions.py::TestMean::test_mean_where, test/torch_np/test_reductions.py::TestSum::test_sum, test/torch_np/test_reductions.py::TestSum::test_sum_boolean, test/torch_np/test_reductions.py::TestSum::test_sum_complex_1_dt0, test/torch_np/test_reductions.py::TestSum::test_sum_complex_1_dt1, test/torch_np/test_reductions.py::TestSum::test_sum_complex_2_dt0, test/torch_np/test_reductions.py::TestSum::test_sum_complex_2_dt1, test/torch_np/test_reductions.py::TestSum::test_sum_dtypes_2, test/torch_np/test_reductions.py::TestSum::test_sum_dtypes_warnings, test/torch_np/test_reductions.py::TestSum::test_sum_initial, test/torch_np/test_reductions.py::TestSum::test_sum_stability, test/torch_np/test_reductions.py::TestSum::test_sum_where, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func0, 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test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func9, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_array_axis_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_array_axis_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_bad_tuple_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_bad_tuple_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_empty_generic_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_empty_generic_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_bad_axis_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_bad_axis_func1 2025-08-26T21:53:13.5909607Z 2025-08-26T21:53:15.8058653Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:53:15.8061493Z import pkg_resources 2025-08-26T21:53:15.9337414Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-08-26 21:53:15.933228] 2025-08-26T21:53:15.9338376Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:53:15.9341044Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:53:15.933667] 2025-08-26T21:53:16.7114605Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:53:16.7118444Z import pkg_resources 2025-08-26T21:53:16.8389209Z Running test_quantization 1/4 ... [2025-08-26 21:53:16.838028] 2025-08-26T21:53:16.8390077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:53:16.8391803Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:53:16.838462] 2025-08-26T21:53:20.6570864Z 2025-08-26T21:53:20.6575140Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_13a40902bedc7c90_.log 2025-08-26T21:53:20.6585476Z Running 9 items in this shard: test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float2, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float3, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_odd_pad_amount, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_pad_2d, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_zeros, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_large_integers, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_pad_empty_dimension 2025-08-26T21:53:20.6593409Z 2025-08-26T21:53:25.4310081Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:53:25.4312240Z import pkg_resources 2025-08-26T21:53:25.6384746Z Running test_quantization 3/4 ... [2025-08-26 21:53:25.638015] 2025-08-26T21:53:25.6385777Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:53:25.6392478Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:53:25.638800] 2025-08-26T21:56:48.9465203Z 2025-08-26T21:56:48.9466003Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_1f3f54820b6ec433_.log 2025-08-26T21:56:50.1430534Z Running 24601 items in this shard: test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_angle_complex_to_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_angle_complex_to_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_big_number_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_signed_zero_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_signed_zero_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_zero_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_zero_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_double_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_lgamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_lgamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_lgamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_lgamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_lgamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_lgamma_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log10_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_round_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_round_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_round_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_round_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_round_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rsqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rsqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rsqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rsqrt_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rsqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rsqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rsqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sgn_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sgn_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sgn_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sgn_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sgn_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sgn_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sigmoid_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sigmoid_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sigmoid_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_sigmoid_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_complex32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_bool, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sign_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_signbit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_signbit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sin_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sinh_cpu_complex64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_uint8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_square_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_special_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_special_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_slow_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_assert_raises_cpu, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_atanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bitwise_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bitwise_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bitwise_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bitwise_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bitwise_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_bool, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_bool, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_neg_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_neg_3_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_rsqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sgn_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sin_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sinc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_sinc_cpu_bool, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_i0_i1_vs_scipy_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_i0_i1_vs_scipy_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_i0_i1_vs_scipy_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_log_ndtr_vs_scipy_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_log_ndtr_vs_scipy_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_ndtr_vs_scipy_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_ndtr_vs_scipy_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_unary_out_op_mem_overlap_cpu_float64 2025-08-26T21:56:51.3951427Z 2025-08-26T21:56:51.3951590Z Uploading artifacts took 1.53 seconds 2025-08-26T21:56:52.4353901Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:56:52.4355779Z import pkg_resources 2025-08-26T21:56:52.5942415Z Running test_quantization 4/4 ... [2025-08-26 21:56:52.593059] 2025-08-26T21:56:52.5943397Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:56:52.5945949Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:52.593506] 2025-08-26T22:04:15.4411186Z 2025-08-26T22:04:15.4412625Z test_quantization 4/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_4.4_f9946061dffef53a_.log 2025-08-26T22:04:15.4705249Z Running 341 items in this shard: test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool, test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool3d_ndhwc, test/test_quantization.py::TestQuantizedOps::test_add_scalar_relu, test/test_quantization.py::TestQuantizedOps::test_avg_pool3d, test/test_quantization.py::TestQuantizedOps::test_custom_module_lstm, test/test_quantization.py::TestQuantizedOps::test_custom_module_multi_head_attention, test/test_quantization.py::TestQuantizedOps::test_hardswish, test/test_quantization.py::TestQuantizedOps::test_instance_norm, test/test_quantization.py::TestQuantizedOps::test_int8_add_onednn, test/test_quantization.py::TestQuantizedOps::test_linear_bias_unpack, test/test_quantization.py::TestQuantizedOps::test_max_pool1d, test/test_quantization.py::TestQuantizedOps::test_max_pool2d, test/test_quantization.py::TestQuantizedOps::test_mean, test/test_quantization.py::TestQuantizedOps::test_qadd_broadcast, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_different_qparams, test/test_quantization.py::TestQuantizedOps::test_qclamp, test/test_quantization.py::TestQuantizedOps::test_qmatmul, test/test_quantization.py::TestQuantizedOps::test_qprelu, test/test_quantization.py::TestQuantizedOps::test_qsoftmax, test/test_quantization.py::TestQuantizedOps::test_qthreshold, test/test_quantization.py::TestQuantizedOps::test_qtopk, test/test_quantization.py::TestQNNPackOps::test_hardtanh, test/test_quantization.py::TestQuantizedLinear::test_qlinear, test/test_quantization.py::TestQuantizedLinear::test_qlinear_gelu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_tanh, test/test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear_prepacked, test/test_quantization.py::TestQuantizedConv::test_conv_transpose_reorder_issue_onednn, test/test_quantization.py::TestQuantizedConv::test_qconv1d_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv1d_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_add, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_swish_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose3d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv3d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose2d, test/test_quantization.py::TestDynamicQuantizedOps::test_qlstmGRU, test/test_quantization.py::TestDynamicQuantizedOps::test_qrnncell, test/test_quantization.py::TestComparatorOps::test_compare_tensor_scalar, test/test_quantization.py::TestPadding::test_reflection_pad1d, test/test_quantization.py::TestPadding::test_reflection_pad2d, test/test_quantization.py::TestQuantizedFunctionalOps::test_relu_api, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quantize_per_channel_affine_scale_dtypes, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quantize_per_tensor_affine_inf, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_channel_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_channel_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_numerical_consistency_per_channel, test/test_quantization.py::TestQuantizedTensor::test_choose_qparams_optimized, test/test_quantization.py::TestQuantizedTensor::test_compare_per_channel_device_numerics, test/test_quantization.py::TestQuantizedTensor::test_compare_per_tensor_device_numerics, test/test_quantization.py::TestQuantizedTensor::test_decomposed_choose_qparams_per_token_asymmetric_backward, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor_bfloat16_input, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_token, test/test_quantization.py::TestQuantizedTensor::test_jit_serialization, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cpu, test/test_quantization.py::TestQuantizedTensor::test_per_tensor_qtensor_to_memory_format, test/test_quantization.py::TestQuantizedTensor::test_qtensor_creation, test/test_quantization.py::TestQuantizedTensor::test_qtensor_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_load_save, test/test_quantization.py::TestQuantizedTensor::test_qtensor_permute, test/test_quantization.py::TestQuantizedTensor::test_qtensor_quant_dequant, test/test_quantization.py::TestQuantizedTensor::test_qtensor_sub_byte_aligned_cols, test/test_quantization.py::TestQuantizedTensor::test_torch_qtensor_deepcopy, test/test_quantization.py::TestFakeQuantize::test_fq_serializable_per_channel, test/test_quantization.py::TestObserver::test_histogram_observer_handle_OOM_due_to_close_min_max_value, test/test_quantization.py::TestObserver::test_histogram_observer_handle_close_to_infinity, test/test_quantization.py::TestObserver::test_observer_qparams_respects_device_affinity, test/test_quantization.py::TestObserver::test_per_channel_observers_load_state_dict, test/test_quantization.py::TestObserver::test_save_load_state_dict_script, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_api, test/test_quantization.py::TestStaticQuantizedModule::test_dropout, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_api, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_bag_api, test/test_quantization.py::TestStaticQuantizedModule::test_linear_relu, test/test_quantization.py::TestStaticQuantizedModule::test_relu, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv1d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose3d, test/test_quantization.py::TestDynamicQuantizedModule::test_gru_api, test/test_quantization.py::TestReferenceQuantizedModule::test_linear_decomposed_weight_custom_qmin_qmax, test/test_quantization.py::TestReferenceQuantizedModule::test_rnn_cell, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_against_reference, test/test_quantization.py::TestDistributed::test_observers_preserve_buffers, test/test_quantization.py::TestDistributed::test_qat_convbn_fused_syncbn_replacement, test/test_quantization.py::TestDistributed::test_qat_data_parallel, test/test_quantization.py::TestFusedObsFakeQuantModule::test_compare_fused_obs_fq_oss_module, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_per_channel, test/test_quantization.py::TestBackendConfig::test_backend_config_set_backend_pattern_config, test/test_quantization.py::TestBackendConfig::test_backend_op_config_add_dtype_config, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_extra_inputs_getter, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_fused_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_reference_quantized_module, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_complex_args, test/test_quantization.py::TestUtils::test_quantize_weight_clamping_per_channel, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_activations, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_mha_batch_first_attr_is_copied_in_prepare, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_resnet_base, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_bag_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested1, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested3, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn, test/test_quantization.py::TestQuantizeEagerOps::test_conv_1d, test/test_quantization.py::TestQuantizeEagerOps::test_functional_module, test/test_quantization.py::TestQuantizeEagerQAT::test_embedding_qat_qconfig_equal, test/test_quantization.py::TestQuantizeEagerQAT::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerQAT::test_mul_scalar_uses_input_qparams, test/test_quantization.py::TestQuantizeEagerQAT::test_qat_embedding_bag_errors, test/test_quantization.py::TestQuantizeEagerQAT::test_train_save_load_eval, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_workflow, test/test_quantization.py::TestFuseEager::test_fuse_function_customization, test/test_quantization.py::TestFuseEager::test_fuse_module_train, test/test_quantization.py::TestFuseEager::test_fusion_sequential_model_train, test/test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_channel, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_functional_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_shadow_logger, test/test_quantization.py::TestEqualizeEager::test_converged, test/test_quantization.py::TestEqualizeEager::test_equalize_fused_linearrelu, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_by_default, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_lowering, test/test_quantization.py::TestFuseFx::test_fuse_custom_pattern, test/test_quantization.py::TestFuseFx::test_linear_bn_leaky_relu_not_fused_by_default, test/test_quantization.py::TestFuseFx::test_problematic_fuse_example, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx_per_channel_quant, test/test_quantization.py::TestQuantizeFx::test_backend_config_quantization_range, test/test_quantization.py::TestQuantizeFx::test_backend_config_scale_min, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_relu_not_reference, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_to_dict, test/test_quantization.py::TestQuantizeFx::test_convert_qconfig_mapping, test/test_quantization.py::TestQuantizeFx::test_copy_node_has_shared_actpp_instance, test/test_quantization.py::TestQuantizeFx::test_custom_module_class_input_has_duplicate_nodes, test/test_quantization.py::TestQuantizeFx::test_dequantize, test/test_quantization.py::TestQuantizeFx::test_dict_output, test/test_quantization.py::TestQuantizeFx::test_dynamic_quant_weight_observer, test/test_quantization.py::TestQuantizeFx::test_fold_quant_dequant, test/test_quantization.py::TestQuantizeFx::test_fp32_input_fp32_output, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_fused_module_qat_swap, test/test_quantization.py::TestQuantizeFx::test_fusion_pattern_unquantized, test/test_quantization.py::TestQuantizeFx::test_keep_original_weights, test/test_quantization.py::TestQuantizeFx::test_linear_bn, test/test_quantization.py::TestQuantizeFx::test_linear_qint8_activation, test/test_quantization.py::TestQuantizeFx::test_lowering_functional_conv_with_kwargs, test/test_quantization.py::TestQuantizeFx::test_mixed_dtypes, test/test_quantization.py::TestQuantizeFx::test_observer_fqn, test/test_quantization.py::TestQuantizeFx::test_packed_weight_fused_op, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_classes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_class, test/test_quantization.py::TestQuantizeFx::test_preserve_qconfig, test/test_quantization.py::TestQuantizeFx::test_preserve_tuple, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_tuple_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_tuple_args, test/test_quantization.py::TestQuantizeFx::test_qconfig_for_call_method, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_from_dict, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_object_type, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_type, test/test_quantization.py::TestQuantizeFx::test_qconfig_none, test/test_quantization.py::TestQuantizeFx::test_qconfig_precedence, test/test_quantization.py::TestQuantizeFx::test_quantized_input_quantized_output, test/test_quantization.py::TestQuantizeFx::test_quantized_model_type, test/test_quantization.py::TestQuantizeFx::test_remove_qconfig, test/test_quantization.py::TestQuantizeFx::test_return_none, test/test_quantization.py::TestQuantizeFx::test_reuse_input_qconfig, test/test_quantization.py::TestQuantizeFx::test_stack_trace_preserved_linear, test/test_quantization.py::TestQuantizeFx::test_symmetric_qnnpack_qat_qconfig_mapping, test/test_quantization.py::TestQuantizeFx::test_torch_unsqueeze_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_unsqueeze__nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFxOps::test_boolean_tensor, test/test_quantization.py::TestQuantizeFxOps::test_conv_module, test/test_quantization.py::TestQuantizeFxOps::test_embedding, test/test_quantization.py::TestQuantizeFxOps::test_hardswish, test/test_quantization.py::TestQuantizeFxOps::test_instance_norm, test/test_quantization.py::TestQuantizeFxOps::test_mish_reference, test/test_quantization.py::TestQuantizeFxOps::test_qbatch_norm, test/test_quantization.py::TestQuantizeFxOps::test_quantized_mul_qat, test/test_quantization.py::TestQuantizeFxOps::test_rnn, test/test_quantization.py::TestQuantizeFxOps::test_softmax_reference, test/test_quantization.py::TestQuantizeFxOps::test_sum, test/test_quantization.py::TestQuantizeFxModels::test_qat_functional_linear, test/test_quantization.py::TestQuantizeFxModels::test_resnet18_ddp, test/test_quantization.py::TestQuantizeFxModels::test_resnet_base, test/test_quantization.py::TestQuantizeFxModels::test_switch_device_prepare_convert, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_quantization.py::TestGraphUtils::test_conv_bn_conv_relu, test/test_quantization.py::TestDuplicateDQPass::test_avgpool_use_different_qconfig, test/test_quantization.py::TestDuplicateDQPass::test_no_add_quant_duplicate_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq_no_static_q, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_with_no_quant_inbetween, test/test_quantization.py::TestMetaDataPorting::test_simple_metadata_porting, test/test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers_list_output, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_throw, test/test_quantization.py::TestQuantizePT2E::test_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2E::test_derived_qspec, test/test_quantization.py::TestQuantizePT2E::test_derived_qspec_per_channel, test/test_quantization.py::TestQuantizePT2E::test_embedding_conv_linear_quantization, test/test_quantization.py::TestQuantizePT2E::test_embedding_quantizer, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_ptq, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_qat, test/test_quantization.py::TestQuantizePT2E::test_observer_callback, test/test_quantization.py::TestQuantizePT2E::test_preserve_nn_module_stack, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e4m3fn, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity, test/test_quantization.py::TestPT2ERepresentation::test_add, test/test_quantization.py::TestPT2ERepresentation::test_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv1d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv1d_with_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv_linear_no_permute, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_int4_weight, test/test_quantization.py::TestXNNPACKQuantizer::test_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_type, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_same_inputs, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig_for_dynamic_quant, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_add_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_update_shared_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_add_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_bias_derived_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_literal_args, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_per_channel_weight_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_update_shared_qspec, test/test_quantization.py::TestQuantizePT2EQATModels::test_qat_mobilenet_v2, test/test_quantization.py::TestFXGraphMatcher::test_dict_return_type, test/test_quantization.py::TestFXGraphMatcher::test_methods, test/test_quantization.py::TestFXGraphMatcher::test_nodes_before_cat, test/test_quantization.py::TestFXGraphMatcher::test_simple_mod, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_loggers_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extend_logger_results_with_comparison, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_weights, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_loggers_preserve_qat_numerics, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_logging_inputs, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_unsupported_op_copy_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module_scriptable, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_partial_qconfig_mapping, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_retroactive_padding, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_mobilenet_v2, test/test_quantization.py::TestFxModelReportDetector::test_multiple_q_config_options, test/test_quantization.py::TestFxModelReportDetector::test_sequential_model_format, test/test_quantization.py::TestFxModelReportObserver::test_random_epochs_and_batches, test/test_quantization.py::TestFxModelReportDetectDynamicStatic::test_nested_detection_case, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_determine_points, test/test_quantization.py::TestFxDetectOutliers::test_no_outlier_report_gen, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_match_with_report, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_single_feat_match, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_convert, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_equalization_scales, test/test_quantization.py::TestSerialization::test_conv2d_graph_v2, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v2, test/test_quantization.py::TestSerialization::test_conv3d_relu, test/test_quantization.py::TestSerialization::test_linear, test/test_quantization.py::TestQuantizeJit::test_nested, test/test_quantization.py::TestQuantizeJit::test_skip_quant, test/test_quantization.py::TestQuantizeJitPasses::test_finalize_debug, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_shared_classtype, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface_unshare_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_for_function, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_shared_class_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant_shared_class_type, test/test_quantization.py::TestQuantizeJitPasses::test_interface_with_fork, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize, test/test_quantization.py::TestQuantizeJitOps::test_clamp, test/test_quantization.py::TestQuantizeJitOps::test_conv_with_benchmark_flag, test/test_quantization.py::TestQuantizeJitOps::test_elu, test/test_quantization.py::TestQuantizeJitOps::test_hardswish, test/test_quantization.py::TestQuantizeJitOps::test_layer_norm, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar_relu, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_multi_op, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic_child_qconfig, test/test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag_padding_idx_error, test/test_quantization.py::TestFusionPasses::test_quantized_add_relu_fusion, test/test_quantization.py::TestDeprecatedJitQuantized::test_erase_class_tensor_shapes, test/test_quantization.py::TestDeprecatedJitQuantized::test_quantization_modules, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fake_quantize, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantization_mappings, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_embedding_ops, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_rnn, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_normalization, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_quantized, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_pattern_utils, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_quantization_patterns, test/test_quantization.py::TestBitsCPU::test_subclass_cpu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e4m3fn 2025-08-26T22:04:15.4987592Z 2025-08-26T22:04:20.5533416Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:04:20.5536880Z import pkg_resources 2025-08-26T22:04:33.3138778Z 2025-08-26T22:04:33.3140406Z test_quantization 3/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_3.4_d09452a7389d10ef_.log 2025-08-26T22:04:33.3402617Z Running 359 items in this shard: test/test_quantization.py::TestQuantizedOps::test_avg_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_batch_norm_relu, test/test_quantization.py::TestQuantizedOps::test_cat_nhwc, test/test_quantization.py::TestQuantizedOps::test_channel_shuffle, test/test_quantization.py::TestQuantizedOps::test_equal, test/test_quantization.py::TestQuantizedOps::test_interpolate, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_cudnn, test/test_quantization.py::TestQuantizedOps::test_max_pool3d, test/test_quantization.py::TestQuantizedOps::test_qhardsigmoid, test/test_quantization.py::TestQuantizedOps::test_qmul_relu_different_qparams, test/test_quantization.py::TestQuantizedOps::test_qrelu, test/test_quantization.py::TestQuantizedOps::test_qsoftmax_qnnpack, test/test_quantization.py::TestQuantizedOps::test_sigmoid_dequantize_rounding_error, test/test_quantization.py::TestQuantizedOps::test_sigmoid_non_observed, test/test_quantization.py::TestQNNPackOps::test_avg_pool2d, test/test_quantization.py::TestQNNPackOps::test_qnnpack_maxpool2d, test/test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid_sweep, test/test_quantization.py::TestQuantizedLinear::test_qlinear_cudnn, test/test_quantization.py::TestQuantizedLinear::test_qlinear_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_unpack, test/test_quantization.py::TestQuantizedConv::test_benchmark, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_add_relu, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_float_output_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv3d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv3d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose1d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose1d, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear_dynamic_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16_opcheck, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv1d_api, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quant_control, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quant_preserves_qparam_shapes_for_activations, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_half_precision_numerics, test/test_quantization.py::TestFakeQuantizeOps::test_fq_serializable_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cuda, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_backward_op_fake_quant_off, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_backward_op, test/test_quantization.py::TestQuantizedTensor::test_bfp16_quantize, test/test_quantization.py::TestQuantizedTensor::test_choose_qparams, test/test_quantization.py::TestQuantizedTensor::test_decomposed_dequantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_decomposed_dynamic_quant_pattern, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_bfloat16_input, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_group, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_fp16_saturate_op, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_to_memory_format, test/test_quantization.py::TestQuantizedTensor::test_pickle_checkpoint_qtensor, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_legacy_new_failure, test/test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_permute, test/test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_float_qparams, test/test_quantization.py::TestFakeQuantize::test_quant_min_max_override, test/test_quantization.py::TestObserver::test_dynamic_quant_observer_matching_choose_qparams, test/test_quantization.py::TestObserver::test_histogram_observer_ignore_infinity, test/test_quantization.py::TestObserver::test_observer_scriptable, test/test_quantization.py::TestObserver::test_per_channel_observers, test/test_quantization.py::TestObserver::test_state_dict_respects_device_affinity, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add_relu, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_dropout_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_elu, test/test_quantization.py::TestStaticQuantizedModule::test_group_norm, test/test_quantization.py::TestStaticQuantizedModule::test_hard_swish, test/test_quantization.py::TestStaticQuantizedModule::test_linear, test/test_quantization.py::TestStaticQuantizedModule::test_linear_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_quant_dequant_api, test/test_quantization.py::TestDynamicQuantizedModule::test_cell_api, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose2d, test/test_quantization.py::TestReferenceQuantizedModule::test_sparse, test/test_quantization.py::TestRecordHistogramObserver::test_observer_scriptable, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_extreme_inputs, test/test_quantization.py::TestHistogramObserver::test_observer_scriptable, test/test_quantization.py::TestDistributed::test_syncbn_preserves_qconfig, test/test_quantization.py::TestFusedObsFakeQuantModule::test_default_fused_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_bag_qat_config, test/test_quantization.py::TestBackendConfig::test_backend_config_to_dict, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_num_tensor_args_to_observation_type, test/test_quantization.py::TestBackendConfig::test_dtype_config_from_dict, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_fails_early, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested1, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested2, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_normalization, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_save_load_state_dict, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_ops_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_single_layer, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_two_layers, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_type_match_rule, test/test_quantization.py::TestQuantizeEagerOps::test_conv_2d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_3d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_1d, test/test_quantization.py::TestQuantizeEagerOps::test_int16_reference_module, test/test_quantization.py::TestQuantizeEagerOps::test_linear, test/test_quantization.py::TestQuantizeEagerOps::test_relu, test/test_quantization.py::TestQuantizeEagerQAT::test_conv_linear_symm, test/test_quantization.py::TestQuantizeEagerQAT::test_dynamic_qat_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_eval_only_fake_quant, test/test_quantization.py::TestQuantizeEagerQAT::test_manual, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_folded_vs_unfolded, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_relu, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_fixed_qparam_ops, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_precomputed_fake_quant, test/test_quantization.py::TestFuseEager::test_forward_hooks_preserved, test/test_quantization.py::TestFuseEager::test_fusion_sequential_model_eval, test/test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_tensor, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_partial, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_output_logger, test/test_quantization.py::TestFuseFx::test_fuse_addtional_fuser_method, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_onednn, test/test_quantization.py::TestFuseFx::test_fuse_linear_bn_eval, test/test_quantization.py::TestFuseFx::test_fuse_linear_bn_leaky_relu_onednn, test/test_quantization.py::TestFuseFx::test_fuse_linear_tanh_for_onednn_backend, test/test_quantization.py::TestFuseFx::test_fuse_module_relu, test/test_quantization.py::TestFuseFx::test_fusion_pattern_with_matchallnode, test/test_quantization.py::TestFuseFx::test_linear_tanh_not_fused_by_default, test/test_quantization.py::TestFuseFx::test_qconfig_fused_module, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx_dynamic_quant, test/test_quantization.py::TestQuantizeFx::test_assert_on_size_after_quant_layer, test/test_quantization.py::TestQuantizeFx::test_backend_config_check_for_weight_and_bias, test/test_quantization.py::TestQuantizeFx::test_change_backend_config_for_fixed_qparam_ops, test/test_quantization.py::TestQuantizeFx::test_channel_shuffle_lowering, test/test_quantization.py::TestQuantizeFx::test_conv_bn_relu, test/test_quantization.py::TestQuantizeFx::test_conv_linear_not_reference, test/test_quantization.py::TestQuantizeFx::test_conv_lowering, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_relu_reference, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_custom_module_class, test/test_quantization.py::TestQuantizeFx::test_default_quant_after_none_qconfig, test/test_quantization.py::TestQuantizeFx::test_dynamic_with_fusion, test/test_quantization.py::TestQuantizeFx::test_dynamic_with_fusion_multiple_uses, test/test_quantization.py::TestQuantizeFx::test_fp32_input_quantized_output, test/test_quantization.py::TestQuantizeFx::test_fp32_sum, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_to_dict, test/test_quantization.py::TestQuantizeFx::test_linear_shape_view, test/test_quantization.py::TestQuantizeFx::test_linear_size_view, test/test_quantization.py::TestQuantizeFx::test_lowering_functional_conv_transpose_with_kwargs, test/test_quantization.py::TestQuantizeFx::test_masked_fill_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_match_pattern_with_multiple_args, test/test_quantization.py::TestQuantizeFx::test_output_lists_and_dicts, test/test_quantization.py::TestQuantizeFx::test_pattern_match, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_input_quantized_indexes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_names, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_name, test/test_quantization.py::TestQuantizeFx::test_qat_prepare_device_affinity, test/test_quantization.py::TestQuantizeFx::test_qconfig_dict_setup, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_global, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_object_type_order, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_regex, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_name_regex, test/test_quantization.py::TestQuantizeFx::test_qconfig_qat_module_type, test/test_quantization.py::TestQuantizeFx::test_quant_output_always_observed, test/test_quantization.py::TestQuantizeFx::test_ref_conv_module, test/test_quantization.py::TestQuantizeFx::test_register_patterns, test/test_quantization.py::TestQuantizeFx::test_repeat_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_reroute_tuple_getitem_patterns, test/test_quantization.py::TestQuantizeFx::test_size_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_sub_scalar, test/test_quantization.py::TestQuantizeFx::test_trace_quantize_per_tensor, test/test_quantization.py::TestQuantizeFx::test_transpose_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_unsqueeze_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFxOps::test_bmm, test/test_quantization.py::TestQuantizeFxOps::test_bmm_int_reference, test/test_quantization.py::TestQuantizeFxOps::test_clamp, test/test_quantization.py::TestQuantizeFxOps::test_conv_transpose_1d, test/test_quantization.py::TestQuantizeFxOps::test_embedding_bag, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_fp16, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_qint8, test/test_quantization.py::TestQuantizeFxOps::test_float_functional, test/test_quantization.py::TestQuantizeFxOps::test_functional_conv, test/test_quantization.py::TestQuantizeFxOps::test_functional_linear, test/test_quantization.py::TestQuantizeFxOps::test_getitem, test/test_quantization.py::TestQuantizeFxOps::test_multiple_qconfigs_for_single_value, test/test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle, test/test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle_module, test/test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle_module, test/test_quantization.py::TestQuantizeFxOps::test_qbatch_norm_relu, test/test_quantization.py::TestQuantizeFxOps::test_qmatmul, test/test_quantization.py::TestQuantizeFxOps::test_rnn_cell, test/test_quantization.py::TestQuantizeFxOps::test_sub, test/test_quantization.py::TestQuantizeFxModels::test_model_dropout, test/test_quantization.py::TestQuantizeFxModels::test_qat_embedding_linear, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_quantization.py::TestMetaDataPorting::test_no_metadata_porting, test/test_quantization.py::TestMetaDataPorting::test_no_metadata_porting_through_unknown_ops, test/test_quantization.py::TestNumericDebugger::test_run_decompositions_map_handle_to_new_nodes, test/test_quantization.py::TestNumericDebugger::test_run_decompositions_same_handle_id, test/test_quantization.py::TestNumericDebugger::test_simple, test/test_quantization.py::TestQuantizePT2E::test_constant_prop_preserve_metadata, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_observer_dedup, test/test_quantization.py::TestQuantizePT2E::test_fold_quantize, test/test_quantization.py::TestQuantizePT2E::test_fold_quantize_per_channel, test/test_quantization.py::TestQuantizePT2E::test_groupwise_per_channel_quant, test/test_quantization.py::TestQuantizePT2E::test_input_edge_sanity_check, test/test_quantization.py::TestQuantizePT2E::test_model_is_exported, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_bn_device_cpu, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout, test/test_quantization.py::TestQuantizePT2E::test_multi_users_without_output_observer, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_int16, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e5m2, test/test_quantization.py::TestQuantizePT2E::test_transform_for_annotation, test/test_quantization.py::TestQuantizePT2E::test_wo_annotate_conv_output_quantizer, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_affine_act_per_channel_weights, test/test_quantization.py::TestPT2ERepresentation::test_add_relu, test/test_quantization.py::TestPT2ERepresentation::test_maxpool2d, test/test_quantization.py::TestXNNPACKQuantizer::test_cat_same_node, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_with_conv, test/test_quantization.py::TestXNNPACKQuantizer::test_gru, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_gru, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_relu, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_with_dynamic_shape, test/test_quantization.py::TestXNNPACKQuantizer::test_mul_float32_max, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_name_with_underscores, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_adaptive_avg_pool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_attention_block, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_single_input, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_serials_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_linear_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_maxpool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_case1, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_bias_derived_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_per_channel_weight_custom_dtype, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_inplace_add_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_per_channel_weight_custom_dtype, test/test_quantization.py::TestQuantizePT2EQATModels::test_qat_resnet18, test/test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_count, test/test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_type, test/test_quantization.py::TestFXGraphMatcher::test_nodes_with_equal_types_get_matched, test/test_quantization.py::TestFXGraphMatcher::test_op_relationship_mapping, test/test_quantization.py::TestFXGraphMatcher::test_results_order, test/test_quantization.py::TestFXGraphMatcher::test_simple_mod_multi, test/test_quantization.py::TestFXGraphMatcher::test_user_defined_function, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_mul_inputs_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_simple, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_mod, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_shadow_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_meth_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_only_kwargs_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_functions, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteNShadows::test_extract_weights_linear, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_mod, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_shadow, test/test_quantization.py::TestFxModelReportObserver::test_observer_after_relu, test/test_quantization.py::TestFxModelReportObserver::test_single_batch_of_ones, test/test_quantization.py::TestFxModelReportClass::test_constructor, test/test_quantization.py::TestFxModelReportClass::test_prepare_model_callibration, test/test_quantization.py::TestFxModelReportClass::test_qconfig_mapping_generation, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen_empty, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_no_match, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_graphs, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_results, test/test_quantization.py::TestSerialization::test_lstm, test/test_quantization.py::TestQuantizeJit::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizeJit::test_observer_with_ignored_function, test/test_quantization.py::TestQuantizeJit::test_single_linear, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_no_fusion, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial, test/test_quantization.py::TestQuantizeJitPasses::test_inplace_option, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_child_qconfig, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_nested_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_reused_weight, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_skip_values, test/test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant, test/test_quantization.py::TestQuantizeJitPasses::test_module_list, test/test_quantization.py::TestQuantizeJitPasses::test_quantize_fork_wait, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequant_same_value, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_quantize_for_if, test/test_quantization.py::TestQuantizeJitPasses::test_skip_dequant_constant_prop, test/test_quantization.py::TestQuantizeJitOps::test_dequantize_tuple, test/test_quantization.py::TestQuantizeJitOps::test_group_norm, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncInplaceRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_relu, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_insert_quant_dequant_linear_dynamic, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_quantize_dynamic_fp16, test/test_quantization.py::TestDeprecatedJitQuantized::test_rnn_quantized, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuser_method_mappings, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quant_type, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize_jit, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_conv, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantized_dynamic_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_batchnorm, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_functional_modules, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_import, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_qat, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_conv_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_nn_intrinsic_fused, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_convert, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fusion_patterns, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_prepare, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_float8_e8m0fnu_rne_rounding_cpu, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e8m0fnu 2025-08-26T22:04:33.3660225Z 2025-08-26T22:04:37.3806649Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:04:37.3809744Z import pkg_resources 2025-08-26T22:04:40.6281359Z 2025-08-26T22:04:40.6282705Z test_quantization 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_1.4_3e427adecdc8175d_.log 2025-08-26T22:04:40.6486047Z Running 326 items in this shard: test/test_quantization.py::TestQuantizedOps::test_group_norm, test/test_quantization.py::TestQuantizedOps::test_int8_batch_norm_onednn, test/test_quantization.py::TestQuantizedOps::test_int8_mul_onednn, test/test_quantization.py::TestQuantizedOps::test_leaky_relu_observed_output, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_pt2e, test/test_quantization.py::TestQuantizedOps::test_max_pool3d_nhwc, test/test_quantization.py::TestQuantizedOps::test_mul_scalar_relu, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_same_qparams, test/test_quantization.py::TestQuantizedOps::test_qlayer_norm, test/test_quantization.py::TestQuantizedOps::test_qmul_relu_same_qparams, test/test_quantization.py::TestQuantizedOps::test_quantized_equal, test/test_quantization.py::TestQuantizedOps::test_quantized_mean_qnnpack, test/test_quantization.py::TestQuantizedOps::test_sigmoid, test/test_quantization.py::TestQNNPackOps::test_adaptive_avg_pool2d, test/test_quantization.py::TestQNNPackOps::test_qnnpack_add_broadcast, test/test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_leaky_relu, test/test_quantization.py::TestQuantizedLinear::test_qlinear_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_with_input_q_dq_qweight_dq_output_fp32, test/test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear, test/test_quantization.py::TestQuantizedConv::test_conv_reorder_issue_onednn, test/test_quantization.py::TestQuantizedConv::test_qconv2d, test/test_quantization.py::TestQuantizedConv::test_qconv2d_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardtanh_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_swish_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv3d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose2d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv1d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv2d, test/test_quantization.py::TestDynamicQuantizedOps::test_linear_dynamic_fp16_onednn, test/test_quantization.py::TestDynamicQuantizedOps::test_linear_prepack_fp16_numerics, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear_legacy, test/test_quantization.py::TestComparatorOps::test_compare_tensor_tensor, test/test_quantization.py::TestPadding::test_constant_padNd, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2d_indices, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_4bit, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quant_per_channel_qparam_range, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_half_precision_numerics, test/test_quantization.py::TestFakeQuantizeOps::test_fq_module_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cuda, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg_per_channel, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cuda, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cuda, test/test_quantization.py::TestQuantizedTensor::test_per_tensor_to_device, test/test_quantization.py::TestQuantizedTensor::test_qtensor_channel_float_assignment, test/test_quantization.py::TestQuantizedTensor::test_qtensor_copy, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_channel, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_qtensor_float_assignment, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_select_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_select_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_load_save, test/test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_quantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_qtensor_reshape, test/test_quantization.py::TestQuantizedTensor::test_qtensor_sub_byte_not_aligned_cols, test/test_quantization.py::TestQuantizedTensor::test_qtensor_view, test/test_quantization.py::TestQuantizedTensor::test_quant_pin_memory, test/test_quantization.py::TestQuantizedTensor::test_repeat, test/test_quantization.py::TestObserver::test_histogram_observer_consistent_buffer_shape, test/test_quantization.py::TestObserver::test_zero_numel, test/test_quantization.py::TestStaticQuantizedModule::test_channel_shuffle, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add, test/test_quantization.py::TestStaticQuantizedModule::test_instance_norm, test/test_quantization.py::TestStaticQuantizedModule::test_layer_norm, test/test_quantization.py::TestStaticQuantizedModule::test_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_pool_api, test/test_quantization.py::TestStaticQuantizedModule::test_prelu, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv2d, test/test_quantization.py::TestReferenceQuantizedModule::test_rnn, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_one_sided, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_update_within_range_succeeds, test/test_quantization.py::TestDistributed::test_device_affinity, test/test_quantization.py::TestDistributed::test_fake_quant_preserves_buffers, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_reduce_range, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_moving_avg_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_fuser_method, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_input_type_to_index, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_observation_type, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_qat_module, test/test_quantization.py::TestBackendConfig::test_dtype_config_to_dict, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_simple, test/test_quantization.py::TestUtils::test_quantize_weight_clamping_per_tensor, test/test_quantization.py::TestUtils::test_uint4_int4_dtype, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_qconfig_none, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_custom_module_class, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding_bag, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantwrapper_attaches_qconfig_to_dequant, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_single_layer, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_skip_quant, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_two_layers, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_per_channel_linear_quantize, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_2d, test/test_quantization.py::TestQuantizeEagerQAT::test_defused_embedding_bag_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_embedding_bag_linear, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_numerics, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_symm_numerics, test/test_quantization.py::TestFuseEager::test_fuse_module_eval, test/test_quantization.py::TestFuseEager::test_fuse_modules_with_nested_hooks, test/test_quantization.py::TestFuseEager::test_fusion_conv_with_bias, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_mobilenet_v3, test/test_quantization.py::TestEqualizeEager::test_cross_layer_equalization, test/test_quantization.py::TestEqualizeEager::test_equalize, test/test_quantization.py::TestEqualizeEager::test_equalize_fused_convrelu, test/test_quantization.py::TestBiasCorrectionEager::test_conv_chain, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_relu, test/test_quantization.py::TestQuantizeFx::test_conv_linear_reference, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_not_reference, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_reference, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_observed_to_quantized_mapping, test/test_quantization.py::TestQuantizeFx::test_deepcopy_preserve_attributes, test/test_quantization.py::TestQuantizeFx::test_default_qconfig_mapping_override_global, test/test_quantization.py::TestQuantizeFx::test_dynamic_quant_fp16, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_get_executorch_backend_config, test/test_quantization.py::TestQuantizeFx::test_linear_tanh_lowering, test/test_quantization.py::TestQuantizeFx::test_mul_add_fp16_config, test/test_quantization.py::TestQuantizeFx::test_no_obs_between_unmatched_node_and_copy_node, test/test_quantization.py::TestQuantizeFx::test_non_traceable_module, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_output_quantized_indexes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_prepared_model_deepcopy, test/test_quantization.py::TestQuantizeFx::test_preserve_attributes, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_split_tuple_args, test/test_quantization.py::TestQuantizeFx::test_qat_and_script, test/test_quantization.py::TestQuantizeFx::test_qat_skip_untraced, test/test_quantization.py::TestQuantizeFx::test_qconfig_dict_with_fused_modules, test/test_quantization.py::TestQuantizeFx::test_qconfig_for_call_func, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_repr, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_to_dict, test/test_quantization.py::TestQuantizeFx::test_qparams_fqn, test/test_quantization.py::TestQuantizeFx::test_quantized_input_fp32_output, test/test_quantization.py::TestQuantizeFx::test_relu_lowering, test/test_quantization.py::TestQuantizeFx::test_reshape_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_sequential, test/test_quantization.py::TestQuantizeFx::test_static_lstm, test/test_quantization.py::TestQuantizeFx::test_static_lstm_with_custom_fixed_qparams, test/test_quantization.py::TestQuantizeFxOps::test_add, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_wrong_qconfig, test/test_quantization.py::TestQuantizeFxOps::test_gelu_reference, test/test_quantization.py::TestQuantizeFxOps::test_general_shape_ops, test/test_quantization.py::TestQuantizeFxOps::test_general_value_ops, test/test_quantization.py::TestQuantizeFxOps::test_linear_module, test/test_quantization.py::TestQuantizeFxOps::test_linear_static_fp16, test/test_quantization.py::TestQuantizeFxOps::test_mul, test/test_quantization.py::TestQuantizeFxOps::test_mul_relu, test/test_quantization.py::TestQuantizeFxOps::test_narrow, test/test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle, test/test_quantization.py::TestQuantizeFxOps::test_prelu, test/test_quantization.py::TestQuantizeFxOps::test_ref_pattern_multi_use, test/test_quantization.py::TestQuantizeFxOps::test_reshape_fp16, test/test_quantization.py::TestQuantizeFxOps::test_softmax_normal, test/test_quantization.py::TestQuantizeFxModels::test_prepare_serialize_switch_device_convert, test/test_quantization.py::TestQuantizeFxModels::test_qat_embeddingbag_linear, test/test_quantization.py::TestQuantizeFxModels::test_static_gpu_convert_basic, test/test_quantization.py::TestQuantizeFxModels::test_torchvision, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_quantization.py::TestGraphUtils::test_customized_equivalet_types_dict, test/test_quantization.py::TestDuplicateDQPass::test_no_need_for_duplicate_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_two_dq, test/test_quantization.py::TestNumericDebugger::test_added_node_gets_unique_id, test/test_quantization.py::TestNumericDebugger::test_copy_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_deepcopy_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers, test/test_quantization.py::TestNumericDebugger::test_quantize_pt2e_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_re_export_preserve_handle, test/test_quantization.py::TestQuantizePT2E::test_allow_implicit_sharing, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_linear_conv, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_transform_for_annotation, test/test_quantization.py::TestQuantizePT2E::test_fold_all_ops_before_quantize, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout_inplace, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_int16, test/test_quantization.py::TestQuantizePT2E::test_save_load, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity_case_2, test/test_quantization.py::TestQuantizePT2E::test_speed, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_per_tok_act_per_group_weights, test/test_quantization.py::TestPT2ERepresentation::test_qdq, test/test_quantization.py::TestXNNPACKQuantizer::test_add_and_inplace_add, test/test_quantization.py::TestXNNPACKQuantizer::test_add_mul_long, test/test_quantization.py::TestXNNPACKQuantizer::test_add_mul_scalar, test/test_quantization.py::TestXNNPACKQuantizer::test_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_propagate_annotation, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_name, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_type_case_2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_avg_pool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary_unary, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_bn_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_bn_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_transpose_bn, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_transpose_bn_relu, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_fp16_shadows_fp32, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_coverage, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_fun, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_vs_linear_fp16_shadow_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_kwargs_shadow, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_io_dtype_coverage, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_either_fp32_or_int8_input, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_ops_with_same_fp32_and_int8_signature, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_activations_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_loggers_preserve_qat_numerics, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_custom_functions_and_tracer, test/test_quantization.py::TestFXNumericSuiteNShadows::test_logger_enabled_and_save_activations_flags, test/test_quantization.py::TestFXNumericSuiteNShadows::test_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_end_to_end, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_from_list, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_repr, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_linear, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_resnet18, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_compare_activations, test/test_quantization.py::TestFxModelReportDetector::test_conv_sub_class_considered, test/test_quantization.py::TestFxModelReportDetector::test_fusion_layer_in_sequential, test/test_quantization.py::TestFxModelReportDetector::test_qat_aware_model_example, test/test_quantization.py::TestFxModelReportClass::test_generate_visualizer, test/test_quantization.py::TestFxDetectOutliers::test_multiple_run_consistent_spike_outlier_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_outlier_detection_determine_points, test/test_quantization.py::TestFxModelReportVisualizer::test_get_modules_and_features, test/test_quantization.py::TestEqualizeFx::test_input_weight_eq_observer, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_activation_values, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_branching, test/test_quantization.py::TestEqualizeFx::test_selective_equalization, test/test_quantization.py::TestSerialization::test_conv2d, test/test_quantization.py::TestSerialization::test_conv2d_nobias, test/test_quantization.py::TestSerialization::test_conv3d, test/test_quantization.py::TestSerialization::test_linear_dynamic, test/test_quantization.py::TestSerialization::test_linear_relu_package_quantization_transforms, test/test_quantization.py::TestSerialization::test_per_channel_observer, test/test_quantization.py::TestSerialization::test_per_tensor_observer, test/test_quantization.py::TestQuantizeJit::test_conv, test/test_quantization.py::TestQuantizeJit::test_conv_bn, test/test_quantization.py::TestQuantizeJit::test_conv_transpose, test/test_quantization.py::TestQuantizeJit::test_single_linear_dynamic, test/test_quantization.py::TestQuantizeJitPasses::test_convtranspose_trace, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_complex_cases, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_fuse_linear, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_general_ops, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_weight_dtype, test/test_quantization.py::TestQuantizeJitPasses::test_swap_functional_linear, test/test_quantization.py::TestQuantizeJitOps::test_cat_linear, test/test_quantization.py::TestQuantizeJitOps::test_general_shape_ops, test/test_quantization.py::TestQuantizeJitOps::test_general_value_ops, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_convert_dynamic_fp16, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_shared_weights, test/test_quantization.py::TestQuantizeDynamicJitOps::test_linear, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuse_modules, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_observer, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_qconfig, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_utils, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_conv, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_embedding_ops, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_utils, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_fused, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_no_import_nn_intrinsic_quantized_dynamic, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_equalize, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_utils, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e8m0fnu 2025-08-26T22:04:40.6701751Z 2025-08-26T22:04:41.4122458Z Running test batch 'tests to run' cost 8008.06 seconds 2025-08-26T22:04:42.4426097Z 2025-08-26T22:04:42.4426481Z real 133m33.014s 2025-08-26T22:04:42.4426775Z user 536m13.769s 2025-08-26T22:04:42.4426995Z sys 32m48.252s 2025-08-26T22:04:42.4427227Z + assert_git_not_dirty 2025-08-26T22:04:42.4427526Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-08-26T22:04:42.4427888Z + [[ linux-jammy-py3.13-clang12 != *xla* ]] 2025-08-26T22:04:42.4432909Z ++ git status --porcelain 2025-08-26T22:04:42.4433904Z ++ grep -v '?? third_party' 2025-08-26T22:05:24.5406390Z ++ true 2025-08-26T22:05:24.5436942Z + git_status= 2025-08-26T22:05:24.5437403Z + [[ -n '' ]] 2025-08-26T22:05:24.5437630Z + test_aten 2025-08-26T22:05:24.5448896Z + echo 'Running ATen tests with pytorch lib' 2025-08-26T22:05:24.5449432Z Running ATen tests with pytorch lib 2025-08-26T22:05:24.5449825Z + [[ -n '' ]] 2025-08-26T22:05:24.5450100Z + echo 'Running test with the build folder' 2025-08-26T22:05:24.5450434Z Running test with the build folder 2025-08-26T22:05:24.5450749Z + TEST_BASE_DIR=build/bin 2025-08-26T22:05:24.5451246Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libc10.so build/bin 2025-08-26T22:05:24.5489225Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libcaffe2*' build/bin 2025-08-26T22:05:24.5499527Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libmkldnn*' build/bin 2025-08-26T22:05:24.5509712Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libnccl*' build/bin 2025-08-26T22:05:24.5521179Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-08-26T22:05:24.5529005Z + ls build/bin 2025-08-26T22:05:24.5624255Z BackoffTest c10_typeid_test 2025-08-26T22:05:24.5624994Z CMakeFiles cmake_install.cmake 2025-08-26T22:05:24.5625628Z CTestTestfile.cmake cpu_allocator_test 2025-08-26T22:05:24.5626317Z CppSignature_test cpu_generator_test 2025-08-26T22:05:24.5626962Z Dict_test cpu_profiling_allocator_test 2025-08-26T22:05:24.5627422Z Dimname_test cpu_rng_test 2025-08-26T22:05:24.5627765Z FileStoreTest dlconvertor_test 2025-08-26T22:05:24.5628144Z HashStoreTest example_allreduce 2025-08-26T22:05:24.5628507Z IListRef_test extension_backend_test 2025-08-26T22:05:24.5628862Z KernelFunction_test half_test 2025-08-26T22:05:24.5629196Z List_test inline_container_test 2025-08-26T22:05:24.5629530Z MaybeOwned_test ivalue_test 2025-08-26T22:05:24.5629909Z NamedTensor_test kernel_function_legacy_test 2025-08-26T22:05:24.5630330Z ProcessGroupGlooTest kernel_function_test 2025-08-26T22:05:24.5630759Z StorageUtils_test kernel_lambda_legacy_test 2025-08-26T22:05:24.5631257Z TCPStoreTest kernel_lambda_test 2025-08-26T22:05:24.5631633Z apply_utils_test kernel_stackbased_test 2025-08-26T22:05:24.5631981Z atest lazy_tensor_test 2025-08-26T22:05:24.5632318Z backend_fallback_test legacy_vmap_test 2025-08-26T22:05:24.5632665Z basic libc10.so 2025-08-26T22:05:24.5632950Z broadcast_test 'libcaffe2*' 2025-08-26T22:05:24.5633340Z c10_AllocatorConfig_test 'libmkldnn*' 2025-08-26T22:05:24.5633680Z c10_ArrayRef_test 'libnccl*' 2025-08-26T22:05:24.5633996Z c10_Bitset_test libtorch.so 2025-08-26T22:05:24.5634375Z c10_CompileTimeFunctionPointer_test libtorch_cpu.so 2025-08-26T22:05:24.5634801Z c10_ConstexprCrc_test libtorch_global_deps.so 2025-08-26T22:05:24.5635359Z c10_DeadlockDetection_test libtorch_python.so 2025-08-26T22:05:24.5635772Z c10_DeviceGuard_test libtorchbind_test.so 2025-08-26T22:05:24.5636204Z c10_Device_test make_boxed_from_unboxed_functor_test 2025-08-26T22:05:24.5636618Z c10_DispatchKeySet_test math_kernel_test 2025-08-26T22:05:24.5636996Z c10_Enumerate_test memory_format_test 2025-08-26T22:05:24.5637368Z c10_Half_test memory_overlapping_test 2025-08-26T22:05:24.5637782Z c10_InlineDeviceGuard_test mobile_memory_cleanup 2025-08-26T22:05:24.5638182Z c10_InlineStreamGuard_test native_test 2025-08-26T22:05:24.5638562Z c10_IntrusiveList_test op_allowlist_test 2025-08-26T22:05:24.5638951Z c10_LeftRight_test op_registration_test 2025-08-26T22:05:24.5639417Z c10_Metaprogramming_test operator_name_test 2025-08-26T22:05:24.5639801Z c10_NetworkFlow_test operators_test 2025-08-26T22:05:24.5640165Z c10_Scalar_test packedtensoraccessor_test 2025-08-26T22:05:24.5640557Z c10_Semaphore_test parallel_benchmark 2025-08-26T22:05:24.5640923Z c10_SizesAndStrides_test pow_test 2025-08-26T22:05:24.5641262Z c10_StreamGuard_test protoc 2025-08-26T22:05:24.5641576Z c10_SymInt_test protoc-3.13.0.0 2025-08-26T22:05:24.5641930Z c10_Synchronized_test quantized_test 2025-08-26T22:05:24.5642294Z c10_ThreadLocal_test reduce_ops_test 2025-08-26T22:05:24.5642696Z c10_TypeIndex_test reportMemoryUsage_test 2025-08-26T22:05:24.5643066Z c10_TypeList_test scalar_tensor_test 2025-08-26T22:05:24.5643416Z c10_TypeTraits_test scalar_test 2025-08-26T22:05:24.5643780Z c10_accumulate_test static_runtime_bench 2025-08-26T22:05:24.5644158Z c10_bfloat16_test static_runtime_test 2025-08-26T22:05:24.5644525Z c10_bit_cast_test stride_properties_test 2025-08-26T22:05:24.5644919Z c10_complex_math_test tensor_iterator_test 2025-08-26T22:05:24.5645285Z c10_complex_test test_api 2025-08-26T22:05:24.5645591Z c10_cow_test test_cpp_rpc 2025-08-26T22:05:24.5645909Z c10_error_test test_dist_autograd 2025-08-26T22:05:24.5646263Z c10_exception_test test_jit 2025-08-26T22:05:24.5646605Z c10_flags_test test_lazy 2025-08-26T22:05:24.5646923Z c10_generic_math_test test_nativert 2025-08-26T22:05:24.5647292Z c10_intrusive_ptr_benchmark test_parallel 2025-08-26T22:05:24.5647663Z c10_intrusive_ptr_test thread_init_test 2025-08-26T22:05:24.5648025Z c10_irange_test torch_shm_manager 2025-08-26T22:05:24.5648361Z c10_lazy_test type_ptr_test 2025-08-26T22:05:24.5648680Z c10_logging_test type_test 2025-08-26T22:05:24.5649005Z c10_optional_test undefined_tensor_test 2025-08-26T22:05:24.5649448Z c10_ordered_preserving_dict_test vec_test_all_types_AVX2 2025-08-26T22:05:24.5649902Z c10_registry_test vec_test_all_types_AVX512 2025-08-26T22:05:24.5650323Z c10_small_vector_test vec_test_all_types_DEFAULT 2025-08-26T22:05:24.5650711Z c10_ssize_test verify_api_visibility 2025-08-26T22:05:24.5651063Z c10_string_util_test weakref_test 2025-08-26T22:05:24.5651402Z c10_string_view_test wrapdim_test 2025-08-26T22:05:24.5651741Z c10_tempfile_test xla_tensor_test 2025-08-26T22:05:24.5652062Z + aten/tools/run_tests.sh build/bin 2025-08-26T22:05:24.5686569Z + set -e 2025-08-26T22:05:24.5689161Z ++ dirname aten/tools/run_tests.sh 2025-08-26T22:05:24.5707690Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-08-26T22:05:24.5708390Z + export CPP_TESTS_DIR=build/bin 2025-08-26T22:05:24.5708687Z + CPP_TESTS_DIR=build/bin 2025-08-26T22:05:24.5709017Z + VALGRIND=ON 2025-08-26T22:05:24.5710986Z + python test/run_test.py --cpp --verbose -i cpp/basic cpp/atest cpp/scalar_test cpp/broadcast_test cpp/wrapdim_test cpp/apply_utils_test cpp/dlconvertor_test cpp/native_test cpp/scalar_tensor_test cpp/undefined_tensor_test cpp/extension_backend_test cpp/lazy_tensor_test cpp/tensor_iterator_test cpp/Dimname_test cpp/Dict_test cpp/NamedTensor_test cpp/cpu_generator_test cpp/legacy_vmap_test cpp/operators_test 2025-08-26T22:05:26.8606144Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:05:26.8607702Z import pkg_resources 2025-08-26T22:05:28.3565849Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-08-26T22:05:28.3691258Z Found test times from artifacts 2025-08-26T22:05:28.4197391Z Found test times from artifacts 2025-08-26T22:05:28.4211906Z Running all tests 2025-08-26T22:05:28.4216485Z Running parallel tests on 3 processes 2025-08-26T22:05:28.4218590Z Name: tests to run (est. time: 0.0min) 2025-08-26T22:05:28.4219290Z Serial tests (0): 2025-08-26T22:05:28.4219614Z Parallel tests (19): 2025-08-26T22:05:28.4219873Z cpp/Dict_test 1/1 2025-08-26T22:05:28.4220139Z cpp/Dimname_test 1/1 2025-08-26T22:05:28.4220426Z cpp/NamedTensor_test 1/1 2025-08-26T22:05:28.4220718Z cpp/apply_utils_test 1/1 2025-08-26T22:05:28.4220984Z cpp/atest 1/1 2025-08-26T22:05:28.4221223Z cpp/basic 1/1 2025-08-26T22:05:28.4221483Z cpp/broadcast_test 1/1 2025-08-26T22:05:28.4221769Z cpp/cpu_generator_test 1/1 2025-08-26T22:05:28.4222053Z cpp/dlconvertor_test 1/1 2025-08-26T22:05:28.4222352Z cpp/extension_backend_test 1/1 2025-08-26T22:05:28.4222664Z cpp/lazy_tensor_test 1/1 2025-08-26T22:05:28.4223082Z cpp/legacy_vmap_test 1/1 2025-08-26T22:05:28.4223360Z cpp/native_test 1/1 2025-08-26T22:05:28.4223660Z cpp/operators_test 1/1 2025-08-26T22:05:28.4224162Z cpp/scalar_tensor_test 1/1 2025-08-26T22:05:28.4224624Z cpp/scalar_test 1/1 2025-08-26T22:05:28.4224885Z cpp/tensor_iterator_test 1/1 2025-08-26T22:05:28.4225195Z cpp/undefined_tensor_test 1/1 2025-08-26T22:05:28.4225646Z cpp/wrapdim_test 1/1 2025-08-26T22:05:28.4225976Z Name: excluded (est. time: 0.0min) 2025-08-26T22:05:28.4226258Z Serial tests (0): 2025-08-26T22:05:28.4226535Z Parallel tests (0): 2025-08-26T22:05:28.4226867Z Running cpp/Dict_test 1/1 ... [2025-08-26 22:05:28.422233] 2025-08-26T22:05:28.4227262Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:28.4235903Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-4fdcd181607f6acd.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:28.423304] 2025-08-26T22:05:30.3414642Z 2025-08-26T22:05:30.3416206Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_d6329446f89c0e9c_.log 2025-08-26T22:05:30.3417310Z 2025-08-26T22:05:31.8755776Z Uploading artifacts took 1.53 seconds 2025-08-26T22:05:31.8756232Z Running cpp/Dimname_test 1/1 ... [2025-08-26 22:05:31.875354] 2025-08-26T22:05:31.8756661Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:31.8760409Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-39817966496a2724.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:31.875795] 2025-08-26T22:05:33.3927544Z 2025-08-26T22:05:33.3928762Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_0384323541cd0087_.log 2025-08-26T22:05:33.3929952Z 2025-08-26T22:05:33.3930281Z Running cpp/NamedTensor_test 1/1 ... [2025-08-26 22:05:33.392398] 2025-08-26T22:05:33.3931006Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:33.3932527Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d8940203fe613d15.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:33.392725] 2025-08-26T22:05:34.8598528Z 2025-08-26T22:05:34.8599777Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_b356d51771dad5d5_.log 2025-08-26T22:05:34.8600934Z 2025-08-26T22:05:34.8601249Z Running cpp/apply_utils_test 1/1 ... [2025-08-26 22:05:34.859720] 2025-08-26T22:05:34.8601936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:34.8604166Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-b873921e1bfb5939.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:34.860121] 2025-08-26T22:05:36.3772255Z 2025-08-26T22:05:36.3773472Z cpp/apply_utils_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.apply_utils_test_1.1_21488ad6d9a928db_.log 2025-08-26T22:05:36.3774160Z 2025-08-26T22:05:36.3774350Z Running cpp/atest 1/1 ... [2025-08-26 22:05:36.377072] 2025-08-26T22:05:36.3774808Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:36.3777062Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-7af11f773644841a.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:36.377436] 2025-08-26T22:05:37.8943589Z 2025-08-26T22:05:37.8944414Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_edc038d0b1b58db6_.log 2025-08-26T22:05:37.8945021Z 2025-08-26T22:05:37.8945203Z Running cpp/basic 1/1 ... [2025-08-26 22:05:37.894249] 2025-08-26T22:05:37.8945571Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:37.8949013Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-dc5c26c671f7659f.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:37.894640] 2025-08-26T22:05:39.4117755Z 2025-08-26T22:05:39.4118889Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_e20cde7cdda29039_.log 2025-08-26T22:05:39.4119529Z 2025-08-26T22:05:39.4119800Z Running cpp/broadcast_test 1/1 ... [2025-08-26 22:05:39.411549] 2025-08-26T22:05:39.4120227Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:39.4121874Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-58eb649ff33b8de3.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:39.411905] 2025-08-26T22:05:40.9288174Z 2025-08-26T22:05:40.9289382Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_29270623fc0a5820_.log 2025-08-26T22:05:40.9290060Z 2025-08-26T22:05:40.9290281Z Running cpp/cpu_generator_test 1/1 ... [2025-08-26 22:05:40.928666] 2025-08-26T22:05:40.9290721Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:40.9293270Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c8015d76c5161f29.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:40.929025] 2025-08-26T22:05:42.4459616Z 2025-08-26T22:05:42.4460966Z cpp/cpu_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cpu_generator_test_1.1_d80f92f58fe241cc_.log 2025-08-26T22:05:42.4461715Z 2025-08-26T22:05:42.4461920Z Running cpp/dlconvertor_test 1/1 ... [2025-08-26 22:05:42.445823] 2025-08-26T22:05:42.4462383Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:42.4465795Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-e4c47fcfd3187844.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:42.446202] 2025-08-26T22:05:43.9633368Z 2025-08-26T22:05:43.9634456Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_e3b41fed12b4f3e6_.log 2025-08-26T22:05:43.9635173Z 2025-08-26T22:05:43.9635404Z Running cpp/extension_backend_test 1/1 ... [2025-08-26 22:05:43.963235] 2025-08-26T22:05:43.9635864Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:43.9638879Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-340f5fb159f77f08.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:43.963628] 2025-08-26T22:05:45.4306103Z 2025-08-26T22:05:45.4307260Z cpp/extension_backend_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.extension_backend_test_1.1_f92965505ebe413a_.log 2025-08-26T22:05:45.4308046Z 2025-08-26T22:05:45.4308254Z Running cpp/lazy_tensor_test 1/1 ... [2025-08-26 22:05:45.430521] 2025-08-26T22:05:45.4308679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:45.4311743Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-b31862b515e2c68b.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:45.430922] 2025-08-26T22:05:46.9480007Z 2025-08-26T22:05:46.9481051Z cpp/lazy_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.lazy_tensor_test_1.1_f5cf26c6466b2353_.log 2025-08-26T22:05:46.9481795Z 2025-08-26T22:05:46.9482060Z Running cpp/legacy_vmap_test 1/1 ... [2025-08-26 22:05:46.947922] 2025-08-26T22:05:46.9482491Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:46.9485788Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-3d89215e765630a3.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:46.948275] 2025-08-26T22:05:48.4153381Z 2025-08-26T22:05:48.4154424Z cpp/legacy_vmap_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.legacy_vmap_test_1.1_7312c0648e432fb6_.log 2025-08-26T22:05:48.4155388Z 2025-08-26T22:05:48.4155626Z Running cpp/native_test 1/1 ... [2025-08-26 22:05:48.415224] 2025-08-26T22:05:48.4156054Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:48.4159243Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-fda6e1d07a8666b9.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:48.415666] 2025-08-26T22:05:49.9329133Z 2025-08-26T22:05:49.9330376Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_f3bdd2c502cd0e0f_.log 2025-08-26T22:05:49.9331554Z 2025-08-26T22:05:49.9331903Z Running cpp/operators_test 1/1 ... [2025-08-26 22:05:49.932582] 2025-08-26T22:05:49.9332606Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:49.9334100Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-27243186871e1138.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:49.932945] 2025-08-26T22:05:51.4497697Z 2025-08-26T22:05:51.4498878Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_9778d78dce505a7a_.log 2025-08-26T22:05:51.4499796Z 2025-08-26T22:05:51.4501512Z Running cpp/scalar_tensor_test 1/1 ... [2025-08-26 22:05:51.449661] 2025-08-26T22:05:51.4502321Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:51.4503563Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d81df48206303ef0.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:51.450027] 2025-08-26T22:05:52.9671246Z 2025-08-26T22:05:52.9672250Z cpp/scalar_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_tensor_test_1.1_95464dbac28c9715_.log 2025-08-26T22:05:52.9672964Z 2025-08-26T22:05:52.9673228Z Running cpp/scalar_test 1/1 ... [2025-08-26 22:05:52.967006] 2025-08-26T22:05:52.9674449Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:52.9676155Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-fc2a09b9859f024b.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:52.967370] 2025-08-26T22:05:54.4843946Z 2025-08-26T22:05:54.4844792Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_ece86aee84fb1c9d_.log 2025-08-26T22:05:54.4845627Z 2025-08-26T22:05:54.4845852Z Running cpp/tensor_iterator_test 1/1 ... [2025-08-26 22:05:54.484099] 2025-08-26T22:05:54.4846311Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:54.4847552Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-65934b385176a4c0.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:54.484463] 2025-08-26T22:05:56.0014581Z 2025-08-26T22:05:56.0015714Z cpp/tensor_iterator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.tensor_iterator_test_1.1_aeedc4cab3d39a6e_.log 2025-08-26T22:05:56.0016454Z 2025-08-26T22:05:56.0016687Z Running cpp/undefined_tensor_test 1/1 ... [2025-08-26 22:05:56.001342] 2025-08-26T22:05:56.0017380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:56.0019714Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-951b6802703dc1dd.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:56.001704] 2025-08-26T22:05:57.5189541Z 2025-08-26T22:05:57.5190661Z cpp/undefined_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.undefined_tensor_test_1.1_8c49cd3d9a02d713_.log 2025-08-26T22:05:57.5191496Z 2025-08-26T22:05:57.5191761Z Running cpp/wrapdim_test 1/1 ... [2025-08-26 22:05:57.518837] 2025-08-26T22:05:57.5192178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:05:57.5194881Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-3c4aad4afcf5aaba.xml', '-x', '--reruns=2'] ... [2025-08-26 22:05:57.519225] 2025-08-26T22:05:59.0362953Z 2025-08-26T22:05:59.0363964Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_4315e14aa272e98f_.log 2025-08-26T22:05:59.0364613Z 2025-08-26T22:06:01.4615055Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:01.4617994Z import pkg_resources 2025-08-26T22:06:01.4790229Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:01.4793237Z import pkg_resources 2025-08-26T22:06:01.4921518Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:01.4924330Z import pkg_resources 2025-08-26T22:06:01.5872423Z Running cpp/Dict_test 1/1 ... [2025-08-26 22:06:01.586869] 2025-08-26T22:06:01.5873069Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:01.5877431Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-5ebca423f99c9c9e.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:01.587376] 2025-08-26T22:06:01.6053824Z Running cpp/Dimname_test 1/1 ... [2025-08-26 22:06:01.605044] 2025-08-26T22:06:01.6054720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:01.6060147Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-68fbd9b74490d960.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:01.605702] 2025-08-26T22:06:01.6192414Z Running cpp/NamedTensor_test 1/1 ... [2025-08-26 22:06:01.618996] 2025-08-26T22:06:01.6192862Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:01.6197040Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-addd1781bbb36c67.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:01.619449] 2025-08-26T22:06:04.7268315Z 2025-08-26T22:06:04.7270314Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_e85080c08c430f86_.log 2025-08-26T22:06:04.7275935Z 2025-08-26T22:06:05.6489301Z 2025-08-26T22:06:05.6490701Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_e50631837b8cfb8c_.log 2025-08-26T22:06:05.6492006Z 2025-08-26T22:06:08.4447483Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:08.4451482Z import pkg_resources 2025-08-26T22:06:08.5774661Z Running cpp/apply_utils_test 1/1 ... [2025-08-26 22:06:08.576936] 2025-08-26T22:06:08.5775419Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:08.5779290Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-634ff7e7c0421415.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:08.577462] 2025-08-26T22:06:09.4677519Z 2025-08-26T22:06:09.4678726Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_f297402301ab1823_.log 2025-08-26T22:06:09.4679873Z 2025-08-26T22:06:09.5236951Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:09.5239715Z import pkg_resources 2025-08-26T22:06:09.6507291Z Running cpp/atest 1/1 ... [2025-08-26 22:06:09.650260] 2025-08-26T22:06:09.6508045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:09.6511785Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-a99db2224d3d8905.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:09.650782] 2025-08-26T22:06:11.4573750Z 2025-08-26T22:06:11.4577793Z cpp/apply_utils_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.apply_utils_test_1.1_43e409f0ff46e3a8_.log 2025-08-26T22:06:11.4579052Z 2025-08-26T22:06:13.1141244Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:13.1144444Z import pkg_resources 2025-08-26T22:06:13.2409005Z Running cpp/basic 1/1 ... [2025-08-26 22:06:13.240516] 2025-08-26T22:06:13.2409446Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:13.2413052Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c14c68e0d6e6b2bb.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:13.241020] 2025-08-26T22:06:13.5242058Z 2025-08-26T22:06:13.5243238Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_3b3e84cd7533150f_.log 2025-08-26T22:06:13.5244349Z 2025-08-26T22:06:15.2254406Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:15.2257662Z import pkg_resources 2025-08-26T22:06:15.4183490Z Running cpp/broadcast_test 1/1 ... [2025-08-26 22:06:15.417879] 2025-08-26T22:06:15.4184587Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:15.4188853Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-24c7ac4ce5e1840c.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:15.418463] 2025-08-26T22:06:16.0609182Z 2025-08-26T22:06:16.0610948Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_297711a1c29cd2dd_.log 2025-08-26T22:06:16.0612128Z 2025-08-26T22:06:17.2835327Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:17.2839512Z import pkg_resources 2025-08-26T22:06:17.4159932Z Running cpp/cpu_generator_test 1/1 ... [2025-08-26 22:06:17.415609] 2025-08-26T22:06:17.4160698Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:17.4163621Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2cccebf1e6d01c70.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:17.416070] 2025-08-26T22:06:17.7374576Z 2025-08-26T22:06:17.7376424Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_1e9a7e0dd9bae16b_.log 2025-08-26T22:06:17.7377285Z 2025-08-26T22:06:19.5236352Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:19.5239617Z import pkg_resources 2025-08-26T22:06:19.6566583Z Running cpp/dlconvertor_test 1/1 ... [2025-08-26 22:06:19.656184] 2025-08-26T22:06:19.6567745Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:19.6572160Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-cdd3838fc5a6926f.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:19.656741] 2025-08-26T22:06:21.3382063Z 2025-08-26T22:06:21.3383662Z cpp/cpu_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cpu_generator_test_1.1_d5a97f8b71c56bb2_.log 2025-08-26T22:06:21.3385274Z 2025-08-26T22:06:21.4108530Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:21.4111746Z import pkg_resources 2025-08-26T22:06:21.5390599Z Running cpp/extension_backend_test 1/1 ... [2025-08-26 22:06:21.538586] 2025-08-26T22:06:21.5391702Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:21.5394798Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-90a8219b2e8689bc.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:21.539091] 2025-08-26T22:06:22.3267378Z 2025-08-26T22:06:22.3270151Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_fe6e0881a4791fbd_.log 2025-08-26T22:06:22.3271474Z 2025-08-26T22:06:23.5575700Z 2025-08-26T22:06:23.5577453Z cpp/extension_backend_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.extension_backend_test_1.1_43a3068025979420_.log 2025-08-26T22:06:23.5578310Z 2025-08-26T22:06:24.9435809Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:24.9438962Z import pkg_resources 2025-08-26T22:06:25.0694719Z Running cpp/lazy_tensor_test 1/1 ... [2025-08-26 22:06:25.069053] 2025-08-26T22:06:25.0695286Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:25.0698740Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-76c3e9401a251212.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:25.069542] 2025-08-26T22:06:25.7167830Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:25.7171056Z import pkg_resources 2025-08-26T22:06:25.8431748Z Running cpp/legacy_vmap_test 1/1 ... [2025-08-26 22:06:25.842701] 2025-08-26T22:06:25.8434108Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:25.8436906Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-fc6727a1bd935ceb.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:25.843181] 2025-08-26T22:06:27.1045250Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:27.1048465Z import pkg_resources 2025-08-26T22:06:27.2644404Z Running cpp/native_test 1/1 ... [2025-08-26 22:06:27.263952] 2025-08-26T22:06:27.2645245Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:27.2648220Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-14261321e33413f6.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:27.264452] 2025-08-26T22:06:27.4387709Z 2025-08-26T22:06:27.4389276Z cpp/lazy_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.lazy_tensor_test_1.1_0c51c2fd0312df17_.log 2025-08-26T22:06:27.4390661Z 2025-08-26T22:06:29.8844035Z 2025-08-26T22:06:29.8845511Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_b95db696e368e54e_.log 2025-08-26T22:06:29.8847979Z 2025-08-26T22:06:30.3677352Z 2025-08-26T22:06:30.3678689Z cpp/legacy_vmap_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.legacy_vmap_test_1.1_16cda8cff9780a83_.log 2025-08-26T22:06:30.3679430Z 2025-08-26T22:06:31.2231600Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:31.2233482Z import pkg_resources 2025-08-26T22:06:31.3573273Z Running cpp/operators_test 1/1 ... [2025-08-26 22:06:31.356896] 2025-08-26T22:06:31.3574126Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:31.3577484Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-34d9a617a8bd30cb.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:31.357365] 2025-08-26T22:06:33.2090529Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:33.2093815Z import pkg_resources 2025-08-26T22:06:33.3355387Z Running cpp/scalar_tensor_test 1/1 ... [2025-08-26 22:06:33.335074] 2025-08-26T22:06:33.3356313Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:33.3360551Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-5edb85c41ba2620d.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:33.335615] 2025-08-26T22:06:33.7430865Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:33.7433809Z import pkg_resources 2025-08-26T22:06:33.9010042Z Running cpp/scalar_test 1/1 ... [2025-08-26 22:06:33.900556] 2025-08-26T22:06:33.9011165Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:33.9014069Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-7c94a0cf854d26c5.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:33.901046] 2025-08-26T22:06:33.9766103Z 2025-08-26T22:06:33.9767937Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_bcfbeb34dc79e23a_.log 2025-08-26T22:06:33.9769414Z 2025-08-26T22:06:35.8552000Z 2025-08-26T22:06:35.8554318Z cpp/scalar_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_tensor_test_1.1_65530abde63301e0_.log 2025-08-26T22:06:35.8555950Z 2025-08-26T22:06:36.5706016Z 2025-08-26T22:06:36.5707524Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_86f373c7b77c2154_.log 2025-08-26T22:06:36.5708488Z 2025-08-26T22:06:37.6731702Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:37.6733475Z import pkg_resources 2025-08-26T22:06:37.8294729Z Running cpp/tensor_iterator_test 1/1 ... [2025-08-26 22:06:37.829032] 2025-08-26T22:06:37.8295714Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:37.8300240Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-16ea41c6f489b941.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:37.829543] 2025-08-26T22:06:39.3237941Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:39.3239737Z import pkg_resources 2025-08-26T22:06:39.4513837Z Running cpp/undefined_tensor_test 1/1 ... [2025-08-26 22:06:39.450872] 2025-08-26T22:06:39.4514959Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:39.4518097Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-49250cb71862c214.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:39.451397] 2025-08-26T22:06:39.8639700Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:39.8642560Z import pkg_resources 2025-08-26T22:06:40.0512691Z Running cpp/wrapdim_test 1/1 ... [2025-08-26 22:06:40.050799] 2025-08-26T22:06:40.0514504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:06:40.0518801Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-0e4de15ba6715ca6.xml', '-x', '--reruns=2'] ... [2025-08-26 22:06:40.051478] 2025-08-26T22:06:42.1213880Z 2025-08-26T22:06:42.1215812Z cpp/undefined_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.undefined_tensor_test_1.1_6b89fc83fef6dfaa_.log 2025-08-26T22:06:42.1217058Z 2025-08-26T22:06:42.6218325Z 2025-08-26T22:06:42.6219816Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_192a8260565f1871_.log 2025-08-26T22:06:42.6221006Z 2025-08-26T22:06:45.7278598Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:45.7281658Z import pkg_resources 2025-08-26T22:06:46.2208904Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:06:46.2211975Z import pkg_resources 2025-08-26T22:06:47.3630118Z 2025-08-26T22:06:47.3631349Z cpp/tensor_iterator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.tensor_iterator_test_1.1_04315cf48ba6da7d_.log 2025-08-26T22:06:47.3632333Z 2025-08-26T22:06:48.1458445Z Running test batch 'tests to run' cost 79.72 seconds 2025-08-26T22:06:48.8862454Z + run_if_exists tensor_interop_test 2025-08-26T22:06:48.8863321Z + local test_name=tensor_interop_test 2025-08-26T22:06:48.8864057Z + [[ -x build/bin/tensor_interop_test ]] 2025-08-26T22:06:48.8864815Z + echo 'Warning: tensor_interop_test does not exist.' 2025-08-26T22:06:48.8865687Z Warning: tensor_interop_test does not exist. 2025-08-26T22:06:48.8866266Z + run_if_exists cudnn_test 2025-08-26T22:06:48.8866784Z + local test_name=cudnn_test 2025-08-26T22:06:48.8867397Z + [[ -x build/bin/cudnn_test ]] 2025-08-26T22:06:48.8868001Z + echo 'Warning: cudnn_test does not exist.' 2025-08-26T22:06:48.8868598Z Warning: cudnn_test does not exist. 2025-08-26T22:06:48.8869297Z + run_if_exists cuda_generator_test 2025-08-26T22:06:48.8870059Z + local test_name=cuda_generator_test 2025-08-26T22:06:48.8870846Z + [[ -x build/bin/cuda_generator_test ]] 2025-08-26T22:06:48.8871610Z + echo 'Warning: cuda_generator_test does not exist.' 2025-08-26T22:06:48.8872113Z Warning: cuda_generator_test does not exist. 2025-08-26T22:06:48.8872613Z + run_if_exists apply_test 2025-08-26T22:06:48.8873012Z + local test_name=apply_test 2025-08-26T22:06:48.8873664Z + [[ -x build/bin/apply_test ]] 2025-08-26T22:06:48.8874169Z + echo 'Warning: apply_test does not exist.' 2025-08-26T22:06:48.8874625Z Warning: apply_test does not exist. 2025-08-26T22:06:48.8875009Z + run_if_exists stream_test 2025-08-26T22:06:48.8875395Z + local test_name=stream_test 2025-08-26T22:06:48.8875787Z + [[ -x build/bin/stream_test ]] 2025-08-26T22:06:48.8876205Z + echo 'Warning: stream_test does not exist.' 2025-08-26T22:06:48.8876707Z Warning: stream_test does not exist. 2025-08-26T22:06:48.8877286Z + run_if_exists cuda_half_test 2025-08-26T22:06:48.8877614Z + local test_name=cuda_half_test 2025-08-26T22:06:48.8878100Z + [[ -x build/bin/cuda_half_test ]] 2025-08-26T22:06:48.8878536Z + echo 'Warning: cuda_half_test does not exist.' 2025-08-26T22:06:48.8879012Z Warning: cuda_half_test does not exist. 2025-08-26T22:06:48.8879459Z + run_if_exists cuda_vectorized_test 2025-08-26T22:06:48.8880004Z + local test_name=cuda_vectorized_test 2025-08-26T22:06:48.8880452Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-08-26T22:06:48.8880949Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-08-26T22:06:48.8881450Z Warning: cuda_vectorized_test does not exist. 2025-08-26T22:06:48.8881875Z + run_if_exists cuda_distributions_test 2025-08-26T22:06:48.8882327Z + local test_name=cuda_distributions_test 2025-08-26T22:06:48.8882784Z + [[ -x build/bin/cuda_distributions_test ]] 2025-08-26T22:06:48.8883301Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-08-26T22:06:48.8883773Z Warning: cuda_distributions_test does not exist. 2025-08-26T22:06:48.8884246Z + run_if_exists cuda_optional_test 2025-08-26T22:06:48.8884683Z + local test_name=cuda_optional_test 2025-08-26T22:06:48.8885103Z + [[ -x build/bin/cuda_optional_test ]] 2025-08-26T22:06:48.8885528Z + echo 'Warning: cuda_optional_test does not exist.' 2025-08-26T22:06:48.8886129Z Warning: cuda_optional_test does not exist. 2025-08-26T22:06:48.8886590Z + run_if_exists cuda_tensor_interop_test 2025-08-26T22:06:48.8887009Z + local test_name=cuda_tensor_interop_test 2025-08-26T22:06:48.8887502Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-08-26T22:06:48.8887963Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-08-26T22:06:48.8888463Z Warning: cuda_tensor_interop_test does not exist. 2025-08-26T22:06:48.8888966Z + run_if_exists cuda_complex_test 2025-08-26T22:06:48.8889381Z + local test_name=cuda_complex_test 2025-08-26T22:06:48.8889732Z + [[ -x build/bin/cuda_complex_test ]] 2025-08-26T22:06:48.8890232Z + echo 'Warning: cuda_complex_test does not exist.' 2025-08-26T22:06:48.8890714Z Warning: cuda_complex_test does not exist. 2025-08-26T22:06:48.8891329Z + run_if_exists cuda_complex_math_test 2025-08-26T22:06:48.8891736Z + local test_name=cuda_complex_math_test 2025-08-26T22:06:48.8892174Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-08-26T22:06:48.8892670Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-08-26T22:06:48.8893202Z Warning: cuda_complex_math_test does not exist. 2025-08-26T22:06:48.8893647Z + run_if_exists cuda_cub_test 2025-08-26T22:06:48.8894005Z + local test_name=cuda_cub_test 2025-08-26T22:06:48.8894428Z + [[ -x build/bin/cuda_cub_test ]] 2025-08-26T22:06:48.8894856Z + echo 'Warning: cuda_cub_test does not exist.' 2025-08-26T22:06:48.8895343Z Warning: cuda_cub_test does not exist. 2025-08-26T22:06:48.8895718Z + run_if_exists cuda_atomic_ops_test 2025-08-26T22:06:48.8896136Z + local test_name=cuda_atomic_ops_test 2025-08-26T22:06:48.8896769Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-08-26T22:06:48.8897246Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-08-26T22:06:48.8897695Z Warning: cuda_atomic_ops_test does not exist. 2025-08-26T22:06:48.8898157Z + '[' ON == ON ']' 2025-08-26T22:06:48.8898954Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-08-26T22:06:48.9150511Z ==31056== Memcheck, a memory error detector 2025-08-26T22:06:48.9151368Z ==31056== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-08-26T22:06:48.9152203Z ==31056== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-08-26T22:06:48.9152915Z ==31056== Command: build/bin/basic --gtest_filter=-*CUDA 2025-08-26T22:06:48.9153480Z ==31056== 2025-08-26T22:06:49.4494701Z ==31056== Warning: set address range perms: large range [0x4a4c000, 0x1a629000) (defined) 2025-08-26T22:06:49.4495501Z ==31056== Warning: set address range perms: large range [0x5c2f000, 0x173f8000) (defined) 2025-08-26T22:07:12.9244144Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-08-26T22:07:12.9527316Z Note: Google Test filter = -*CUDA 2025-08-26T22:07:12.9579211Z [==========] Running 6 tests from 1 test suite. 2025-08-26T22:07:12.9606874Z [----------] Global test environment set-up. 2025-08-26T22:07:12.9677727Z [----------] 6 tests from BasicTest 2025-08-26T22:07:12.9701561Z [ RUN ] BasicTest.BasicTestCPU 2025-08-26T22:07:13.5156851Z hwloc x86 backend cannot work under Valgrind, disabling. 2025-08-26T22:07:13.5158141Z May be reenabled by dumping CPUIDs with hwloc-gather-cpuid 2025-08-26T22:07:13.5159161Z and reloading them under Valgrind with HWLOC_CPUID_PATH. 2025-08-26T22:07:13.5664222Z hwloc x86 backend cannot work under Valgrind, disabling. 2025-08-26T22:07:13.5665316Z May be reenabled by dumping CPUIDs with hwloc-gather-cpuid 2025-08-26T22:07:13.5666249Z and reloading them under Valgrind with HWLOC_CPUID_PATH. 2025-08-26T22:07:13.6377634Z hwloc x86 backend cannot work under Valgrind, disabling. 2025-08-26T22:07:13.6378664Z May be reenabled by dumping CPUIDs with hwloc-gather-cpuid 2025-08-26T22:07:13.6379769Z and reloading them under Valgrind with HWLOC_CPUID_PATH. 2025-08-26T22:07:14.4142932Z 347 ms 2025-08-26T22:07:14.5004681Z 54 ms 2025-08-26T22:07:14.5734760Z 65 ms 2025-08-26T22:07:15.4036662Z [ OK ] BasicTest.BasicTestCPU (2431 ms) 2025-08-26T22:07:15.4088343Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-08-26T22:07:15.5430437Z 89 ms 2025-08-26T22:07:15.6366213Z 46 ms 2025-08-26T22:07:15.7027671Z 64 ms 2025-08-26T22:07:15.7560530Z [ OK ] BasicTest.BasicTestHalfCPU (346 ms) 2025-08-26T22:07:15.7561501Z [ RUN ] BasicTest.FactoryMethodsTest 2025-08-26T22:07:15.7888170Z [ OK ] BasicTest.FactoryMethodsTest (32 ms) 2025-08-26T22:07:15.7889224Z [ RUN ] BasicTest.BasicStdTestCPU 2025-08-26T22:07:15.8681202Z Simple example: called once 2025-08-26T22:07:15.9531393Z throw: call_once will retry 2025-08-26T22:07:15.9927413Z throw: call_once will retry 2025-08-26T22:07:15.9930856Z throw: call_once will retry 2025-08-26T22:07:15.9936061Z Didn't throw, call_once will not attempt again 2025-08-26T22:07:15.9954521Z [ OK ] BasicTest.BasicStdTestCPU (206 ms) 2025-08-26T22:07:15.9955429Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-08-26T22:07:16.0128322Z [ OK ] BasicTest.TestForBlobResizeCPU (17 ms) 2025-08-26T22:07:16.0129108Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-08-26T22:07:16.0162611Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (3 ms) 2025-08-26T22:07:16.0184251Z [----------] 6 tests from BasicTest (3047 ms total) 2025-08-26T22:07:16.0184527Z 2025-08-26T22:07:16.0196124Z [----------] Global test environment tear-down 2025-08-26T22:07:16.0223969Z [==========] 6 tests from 1 test suite ran. (3072 ms total) 2025-08-26T22:07:16.0236296Z [ PASSED ] 6 tests. 2025-08-26T22:07:17.9122286Z ==31056== 2025-08-26T22:07:17.9125960Z ==31056== HEAP SUMMARY: 2025-08-26T22:07:17.9126314Z ==31056== in use at exit: 431,636 bytes in 6,391 blocks 2025-08-26T22:07:17.9126828Z ==31056== total heap usage: 649,957 allocs, 643,566 frees, 198,945,827 bytes allocated 2025-08-26T22:07:17.9127307Z ==31056== 2025-08-26T22:07:17.9488123Z ==31056== LEAK SUMMARY: 2025-08-26T22:07:17.9488698Z ==31056== definitely lost: 0 bytes in 0 blocks 2025-08-26T22:07:17.9489409Z ==31056== indirectly lost: 0 bytes in 0 blocks 2025-08-26T22:07:17.9490111Z ==31056== possibly lost: 69,920 bytes in 2 blocks 2025-08-26T22:07:17.9491153Z ==31056== still reachable: 361,716 bytes in 6,389 blocks 2025-08-26T22:07:17.9491973Z ==31056== suppressed: 0 bytes in 0 blocks 2025-08-26T22:07:17.9492824Z ==31056== Rerun with --leak-check=full to see details of leaked memory 2025-08-26T22:07:17.9493594Z ==31056== 2025-08-26T22:07:17.9494184Z ==31056== For lists of detected and suppressed errors, rerun with: -s 2025-08-26T22:07:17.9495172Z ==31056== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2025-08-26T22:07:17.9924498Z + [[ -x build/bin/tensor_interop_test ]] 2025-08-26T22:07:17.9927039Z + [[ -n '' ]] 2025-08-26T22:07:17.9927318Z + assert_git_not_dirty 2025-08-26T22:07:17.9927714Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-08-26T22:07:17.9928078Z + [[ linux-jammy-py3.13-clang12 != *xla* ]] 2025-08-26T22:07:17.9933976Z ++ git status --porcelain 2025-08-26T22:07:17.9935001Z ++ grep -v '?? third_party' 2025-08-26T22:07:18.2505509Z ++ true 2025-08-26T22:07:18.2507191Z + git_status= 2025-08-26T22:07:18.2507495Z + [[ -n '' ]] 2025-08-26T22:07:18.2507735Z + test_libtorch 1 2025-08-26T22:07:18.2527318Z + local SHARD=1 2025-08-26T22:07:18.2527699Z + [[ crossref != \s\l\o\w ]] 2025-08-26T22:07:18.2528000Z + echo 'Testing libtorch' 2025-08-26T22:07:18.2528270Z Testing libtorch 2025-08-26T22:07:18.2529060Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-26T22:07:18.2538529Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-26T22:07:18.2548351Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-26T22:07:18.2559717Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-26T22:07:18.2570870Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libshm /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libshm_windows /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-26T22:07:18.2582922Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-26T22:07:18.2592256Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-26T22:07:18.2601361Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-26T22:07:18.2602129Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-26T22:07:18.2602581Z + [[ -z 1 ]] 2025-08-26T22:07:18.2602800Z + [[ 1 == \1 ]] 2025-08-26T22:07:18.2603029Z + test_libtorch_api 2025-08-26T22:07:18.2607724Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-08-26T22:07:18.2608555Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist 2025-08-26T22:07:18.3082420Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ... 2025-08-26T22:07:18.3352002Z Failed to download (trying next): 2025-08-26T22:07:18.3352584Z HTTP Error 404: Not Found 2025-08-26T22:07:18.3353169Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ... 2025-08-26T22:07:18.6675424Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ... 2025-08-26T22:07:18.6733264Z Failed to download (trying next): 2025-08-26T22:07:18.6733832Z HTTP Error 404: Not Found 2025-08-26T22:07:18.6734422Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ... 2025-08-26T22:07:18.7066910Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ... 2025-08-26T22:07:18.7124141Z Failed to download (trying next): 2025-08-26T22:07:18.7124486Z HTTP Error 404: Not Found 2025-08-26T22:07:18.7124982Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ... 2025-08-26T22:07:18.7869012Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ... 2025-08-26T22:07:18.7927366Z Failed to download (trying next): 2025-08-26T22:07:18.7927707Z HTTP Error 404: Not Found 2025-08-26T22:07:18.7928222Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ... 2025-08-26T22:07:18.8591398Z + [[ linux-jammy-py3.13-clang12 == *asan* ]] 2025-08-26T22:07:18.8592156Z + [[ linux-jammy-py3.13-clang12 == *slow-gradcheck* ]] 2025-08-26T22:07:18.8592531Z + OMP_NUM_THREADS=2 2025-08-26T22:07:18.8592922Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-08-26T22:07:18.8593591Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest' 2025-08-26T22:07:21.1147424Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:07:21.1149062Z import pkg_resources 2025-08-26T22:07:22.6391076Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-08-26T22:07:22.6516578Z Found test times from artifacts 2025-08-26T22:07:22.7022546Z Found test times from artifacts 2025-08-26T22:07:22.7037225Z Running all tests 2025-08-26T22:07:22.7040906Z Running parallel tests on 3 processes 2025-08-26T22:07:22.7041341Z Name: tests to run (est. time: 0.0min) 2025-08-26T22:07:22.7041662Z Serial tests (0): 2025-08-26T22:07:22.7041903Z Parallel tests (1): 2025-08-26T22:07:22.7042163Z cpp/test_api 1/1 2025-08-26T22:07:22.7042433Z Name: excluded (est. time: 0.0min) 2025-08-26T22:07:22.7042731Z Serial tests (0): 2025-08-26T22:07:22.7042961Z Parallel tests (0): 2025-08-26T22:07:22.7046278Z Running cpp/test_api 1/1 ... [2025-08-26 22:07:22.704482] 2025-08-26T22:07:22.7046753Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:07:22.7051773Z Executing ['pytest', '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin/test_api', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-bcd93f3b96c0d40e.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-08-26 22:07:22.704934] 2025-08-26T22:07:24.7726930Z 2025-08-26T22:07:24.7727921Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_cc0ad0045901c6a2_.log 2025-08-26T22:07:24.7728603Z 2025-08-26T22:07:26.8917215Z Uploading artifacts took 2.12 seconds 2025-08-26T22:07:29.2520896Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:07:29.2523844Z import pkg_resources 2025-08-26T22:07:29.3045351Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:07:29.3046906Z import pkg_resources 2025-08-26T22:07:29.3048566Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:07:29.3050111Z import pkg_resources 2025-08-26T22:07:29.3758739Z Running cpp/test_api 1/1 ... [2025-08-26 22:07:29.375544] 2025-08-26T22:07:29.3759181Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:07:29.3764455Z Executing ['pytest', '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin/test_api', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1252599b53d2dcdd.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-08-26 22:07:29.375990] 2025-08-26T22:09:29.6300750Z 2025-08-26T22:09:29.6301614Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_645627e537f4d6f5_.log 2025-08-26T22:09:29.6314409Z 2025-08-26T22:09:30.4022166Z Running test batch 'tests to run' cost 127.7 seconds 2025-08-26T22:09:31.1383210Z + [[ linux-jammy-py3.13-clang12 != *android* ]] 2025-08-26T22:09:31.1383687Z + [[ linux-jammy-py3.13-clang12 != *cuda* ]] 2025-08-26T22:09:31.1384048Z + [[ linux-jammy-py3.13-clang12 != *asan* ]] 2025-08-26T22:09:31.1384468Z + [[ linux-jammy-py3.13-clang12 != *s390x* ]] 2025-08-26T22:09:31.1384813Z + export CPP_TESTS_DIR=build/bin 2025-08-26T22:09:31.1385177Z + CPP_TESTS_DIR=build/bin 2025-08-26T22:09:31.1385565Z + python test/run_test.py --cpp --verbose -i cpp/static_runtime_test 2025-08-26T22:09:33.4164311Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:09:33.4165909Z import pkg_resources 2025-08-26T22:09:34.9066783Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-08-26T22:09:34.9190747Z Found test times from artifacts 2025-08-26T22:09:34.9690353Z Found test times from artifacts 2025-08-26T22:09:34.9705329Z Running all tests 2025-08-26T22:09:34.9709486Z Running parallel tests on 3 processes 2025-08-26T22:09:34.9709950Z Name: tests to run (est. time: 0.0min) 2025-08-26T22:09:34.9710369Z Serial tests (0): 2025-08-26T22:09:34.9711378Z Parallel tests (1): 2025-08-26T22:09:34.9711648Z cpp/static_runtime_test 1/1 2025-08-26T22:09:34.9711951Z Name: excluded (est. time: 0.0min) 2025-08-26T22:09:34.9712258Z Serial tests (0): 2025-08-26T22:09:34.9712493Z Parallel tests (0): 2025-08-26T22:09:34.9712877Z Running cpp/static_runtime_test 1/1 ... [2025-08-26 22:09:34.970952] 2025-08-26T22:09:34.9713398Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:09:34.9716859Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/static_runtime_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-e235a0ff215f0186.xml', '-x', '--reruns=2'] ... [2025-08-26 22:09:34.971442] 2025-08-26T22:09:36.4884024Z 2025-08-26T22:09:36.4885555Z cpp/static_runtime_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.static_runtime_test_1.1_7963b76113d7734c_.log 2025-08-26T22:09:36.4886806Z 2025-08-26T22:09:38.0392442Z Uploading artifacts took 1.55 seconds 2025-08-26T22:09:40.4708362Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:09:40.4711552Z import pkg_resources 2025-08-26T22:09:40.4714519Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:09:40.4717457Z import pkg_resources 2025-08-26T22:09:40.5018322Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:09:40.5021168Z import pkg_resources 2025-08-26T22:09:40.5953963Z Running cpp/static_runtime_test 1/1 ... [2025-08-26 22:09:40.595050] 2025-08-26T22:09:40.5954440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:09:40.5957987Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/static_runtime_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-86e21933d6338e2d.xml', '-x', '--reruns=2'] ... [2025-08-26 22:09:40.595536] 2025-08-26T22:16:37.4993968Z 2025-08-26T22:16:37.4995196Z cpp/static_runtime_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.static_runtime_test_1.1_92e98a9ba3ad8468_.log 2025-08-26T22:16:37.4998873Z 2025-08-26T22:16:38.3174140Z Running test batch 'tests to run' cost 423.35 seconds 2025-08-26T22:16:39.0891886Z + [[ -z 1 ]] 2025-08-26T22:16:39.0892333Z + [[ 1 == \2 ]] 2025-08-26T22:16:39.0892747Z + assert_git_not_dirty 2025-08-26T22:16:39.0893249Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-08-26T22:16:39.0894213Z + [[ linux-jammy-py3.13-clang12 != *xla* ]] 2025-08-26T22:16:39.0898263Z ++ git status --porcelain 2025-08-26T22:16:39.0899641Z ++ grep -v '?? third_party' 2025-08-26T22:16:39.3485222Z ++ true 2025-08-26T22:16:39.3486298Z + git_status= 2025-08-26T22:16:39.3486579Z + [[ -n '' ]] 2025-08-26T22:16:39.3487269Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-08-26T22:16:39.3532896Z + sccache_epilogue 2025-08-26T22:16:39.3533268Z + echo '::group::Sccache Compilation Log' 2025-08-26T22:16:39.3533942Z ##[group]Sccache Compilation Log 2025-08-26T22:16:39.3534479Z + echo '=================== sccache compilation log ===================' 2025-08-26T22:16:39.3535234Z =================== sccache compilation log =================== 2025-08-26T22:16:39.3535874Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-08-26T22:16:39.3671539Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-08-26T22:16:39.3672277Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-08-26T22:16:39.3672782Z + sccache --show-stats 2025-08-26T22:16:39.3698009Z Compile requests 1016 2025-08-26T22:16:39.3698719Z Compile requests executed 119 2025-08-26T22:16:39.3699097Z Cache hits 81 2025-08-26T22:16:39.3699421Z Cache hits (C/C++) 81 2025-08-26T22:16:39.3699725Z Cache misses 37 2025-08-26T22:16:39.3700053Z Cache misses (C/C++) 37 2025-08-26T22:16:39.3700377Z Cache hits rate 68.64 % 2025-08-26T22:16:39.3700879Z Cache hits rate (C/C++) 68.64 % 2025-08-26T22:16:39.3701446Z Cache timeouts 0 2025-08-26T22:16:39.3701958Z Cache read errors 0 2025-08-26T22:16:39.3702278Z Forced recaches 0 2025-08-26T22:16:39.3702597Z Cache write errors 0 2025-08-26T22:16:39.3702923Z Cache errors 0 2025-08-26T22:16:39.3703231Z Compilations 37 2025-08-26T22:16:39.3703743Z Compilation failures 1 2025-08-26T22:16:39.3704152Z Non-cacheable compilations 0 2025-08-26T22:16:39.3704490Z Non-cacheable calls 9 2025-08-26T22:16:39.3704808Z Non-compilation calls 888 2025-08-26T22:16:39.3705147Z Unsupported compiler calls 0 2025-08-26T22:16:39.3705486Z Average cache write 0.051 s 2025-08-26T22:16:39.3705823Z Average compiler 12.258 s 2025-08-26T22:16:39.3706145Z Average cache read hit 0.046 s 2025-08-26T22:16:39.3706486Z Failed distributed compilations 0 2025-08-26T22:16:39.3706712Z 2025-08-26T22:16:39.3706825Z Non-cacheable reasons: 2025-08-26T22:16:39.3707085Z -E 9 2025-08-26T22:16:39.3707310Z 2025-08-26T22:16:39.3707560Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-08-26T22:16:39.3708030Z Version (client) 0.10.0 2025-08-26T22:16:39.3708347Z + sccache --stop-server 2025-08-26T22:16:39.3717998Z Stopping sccache server... 2025-08-26T22:16:39.3721016Z Compile requests 1016 2025-08-26T22:16:39.3721400Z Compile requests executed 119 2025-08-26T22:16:39.3721739Z Cache hits 81 2025-08-26T22:16:39.3722065Z Cache hits (C/C++) 81 2025-08-26T22:16:39.3722581Z Cache misses 37 2025-08-26T22:16:39.3723116Z Cache misses (C/C++) 37 2025-08-26T22:16:39.3723682Z Cache hits rate 68.64 % 2025-08-26T22:16:39.3724244Z Cache hits rate (C/C++) 68.64 % 2025-08-26T22:16:39.3724815Z Cache timeouts 0 2025-08-26T22:16:39.3725321Z Cache read errors 0 2025-08-26T22:16:39.3725903Z Forced recaches 0 2025-08-26T22:16:39.3727197Z Cache write errors 0 2025-08-26T22:16:39.3727747Z Cache errors 0 2025-08-26T22:16:39.3728075Z Compilations 37 2025-08-26T22:16:39.3728411Z Compilation failures 1 2025-08-26T22:16:39.3728742Z Non-cacheable compilations 0 2025-08-26T22:16:39.3729082Z Non-cacheable calls 9 2025-08-26T22:16:39.3729414Z Non-compilation calls 888 2025-08-26T22:16:39.3729755Z Unsupported compiler calls 0 2025-08-26T22:16:39.3730080Z Average cache write 0.051 s 2025-08-26T22:16:39.3730413Z Average compiler 12.258 s 2025-08-26T22:16:39.3730750Z Average cache read hit 0.046 s 2025-08-26T22:16:39.3731094Z Failed distributed compilations 0 2025-08-26T22:16:39.3731404Z 2025-08-26T22:16:39.3731504Z Non-cacheable reasons: 2025-08-26T22:16:39.3731771Z -E 9 2025-08-26T22:16:39.3731991Z 2025-08-26T22:16:39.3732234Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-08-26T22:16:39.3732704Z Version (client) 0.10.0 2025-08-26T22:16:39.3733049Z + echo ::endgroup:: 2025-08-26T22:16:39.3733555Z ##[endgroup] 2025-08-26T22:16:39.3733776Z + cleanup_workspace 2025-08-26T22:16:39.3734286Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-08-26T22:16:39.3735097Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-08-26T22:16:39.3735749Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-08-26T22:16:39.3736213Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-08-26T22:16:39.3736765Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-08-26T22:16:39.3737379Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-08-26T22:16:39.3737872Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-08-26T22:16:42.4852394Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-08-26T22:16:42.4852898Z with: 2025-08-26T22:16:42.4853145Z benchmark-results-dir: test/test-reports 2025-08-26T22:16:42.4853568Z dry-run: false 2025-08-26T22:16:42.4853817Z schema-version: v3 2025-08-26T22:16:42.4854285Z github-token: *** 2025-08-26T22:16:42.4854525Z env: 2025-08-26T22:16:42.4854957Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:42.4855434Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:42.4855952Z ##[endgroup] 2025-08-26T22:16:42.4883282Z ##[group]Run set -eux 2025-08-26T22:16:42.4883578Z set -eux 2025-08-26T22:16:42.4883961Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-26T22:16:42.4884416Z  2025-08-26T22:16:42.4884641Z DEVICE_NAME="" 2025-08-26T22:16:42.4884899Z DEVICE_TYPE="" 2025-08-26T22:16:42.4885153Z  2025-08-26T22:16:42.4885431Z if command -v nvidia-smi; then 2025-08-26T22:16:42.4885884Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-08-26T22:16:42.4886484Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-08-26T22:16:42.4887048Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-08-26T22:16:42.4887493Z  python3 -mpip install torch==2.7.1 2025-08-26T22:16:42.4887852Z elif command -v rocminfo; then 2025-08-26T22:16:42.4888294Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-08-26T22:16:42.4888875Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-08-26T22:16:42.4889462Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-08-26T22:16:42.4889978Z  # GPU device name coming from rocminfo instead 2025-08-26T22:16:42.4890353Z  DEVICE_NAME=rocm 2025-08-26T22:16:42.4890837Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-08-26T22:16:42.4891405Z fi 2025-08-26T22:16:42.4891620Z  2025-08-26T22:16:42.4891898Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-08-26T22:16:42.4892309Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-26T22:16:42.5072298Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:16:42.5072690Z env: 2025-08-26T22:16:42.5072922Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:42.5073487Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:42.5073982Z ##[endgroup] 2025-08-26T22:16:42.5104214Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-26T22:16:42.9820845Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T22:16:44.0522892Z Collecting boto3==1.35.33 2025-08-26T22:16:44.0691564Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-26T22:16:44.3800954Z Collecting psutil==7.0.0 2025-08-26T22:16:44.3840071Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-08-26T22:16:44.4133446Z Collecting pynvml==12.0.0 2025-08-26T22:16:44.4174519Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-26T22:16:45.6077548Z Collecting botocore<1.36.0,>=1.35.33 2025-08-26T22:16:45.6118757Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-26T22:16:45.7952651Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-26T22:16:45.7991245Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-26T22:16:45.8055404Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-08-26T22:16:45.8504206Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-26T22:16:45.8540080Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-26T22:16:45.8642080Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-08-26T22:16:45.8652891Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-08-26T22:16:46.1062572Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-08-26T22:16:46.2474598Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-26T22:16:46.7456502Z Attempting uninstall: nvidia-ml-py 2025-08-26T22:16:46.7457539Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-26T22:16:46.7477343Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-26T22:16:46.7806092Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-26T22:16:46.8441366Z Attempting uninstall: psutil 2025-08-26T22:16:46.8442169Z Found existing installation: psutil 5.9.8 2025-08-26T22:16:46.8517068Z Uninstalling psutil-5.9.8: 2025-08-26T22:16:46.8523124Z Successfully uninstalled psutil-5.9.8 2025-08-26T22:16:47.0192101Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-08-26T22:16:47.1320681Z + DEVICE_NAME= 2025-08-26T22:16:47.1321124Z + DEVICE_TYPE= 2025-08-26T22:16:47.1321591Z + command -v nvidia-smi 2025-08-26T22:16:47.1322078Z + command -v rocminfo 2025-08-26T22:16:47.1322540Z + echo DEVICE_NAME= 2025-08-26T22:16:47.1322787Z + echo DEVICE_TYPE= 2025-08-26T22:16:47.1355209Z ##[group]Run set -eux 2025-08-26T22:16:47.1355477Z set -eux 2025-08-26T22:16:47.1355714Z  2025-08-26T22:16:47.1356002Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-26T22:16:47.1356375Z  echo "Missing github-token input" 2025-08-26T22:16:47.1356707Z  exit 1 2025-08-26T22:16:47.1356932Z fi 2025-08-26T22:16:47.1363850Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:16:47.1364242Z env: 2025-08-26T22:16:47.1364465Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:47.1364945Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:47.1365450Z DEVICE_NAME: 2025-08-26T22:16:47.1365686Z DEVICE_TYPE: 2025-08-26T22:16:47.1366138Z GITHUB_TOKEN: *** 2025-08-26T22:16:47.1366387Z ##[endgroup] 2025-08-26T22:16:47.1391037Z + [[ -z *** ]] 2025-08-26T22:16:47.1466841Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-26T22:16:47.1467272Z with: 2025-08-26T22:16:47.1467652Z github-token: *** 2025-08-26T22:16:47.1467894Z env: 2025-08-26T22:16:47.1468118Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:47.1468682Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:47.1469184Z DEVICE_NAME: 2025-08-26T22:16:47.1469421Z DEVICE_TYPE: 2025-08-26T22:16:47.1469663Z ##[endgroup] 2025-08-26T22:16:47.1494252Z ##[group]Run set -eux 2025-08-26T22:16:47.1494530Z set -eux 2025-08-26T22:16:47.1494764Z  2025-08-26T22:16:47.1495258Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-26T22:16:47.1500790Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:16:47.1501176Z env: 2025-08-26T22:16:47.1501399Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:47.1501894Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:47.1502391Z DEVICE_NAME: 2025-08-26T22:16:47.1502620Z DEVICE_TYPE: 2025-08-26T22:16:47.1503002Z GITHUB_TOKEN: *** 2025-08-26T22:16:47.1503239Z ##[endgroup] 2025-08-26T22:16:47.1525429Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17248463620 i-003c9750a81c1c7a9 2025-08-26T22:16:49.9306200Z setting job-id=48944862581 2025-08-26T22:16:49.9306759Z setting job-name=linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge) 2025-08-26T22:16:49.9423080Z ##[group]Run set -eux 2025-08-26T22:16:49.9423453Z set -eux 2025-08-26T22:16:49.9423669Z  2025-08-26T22:16:49.9424067Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-26T22:16:49.9424603Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-26T22:16:49.9424959Z  --repo "${REPO}" \ 2025-08-26T22:16:49.9425271Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-26T22:16:49.9425600Z  --head-sha "${HEAD_SHA}" \ 2025-08-26T22:16:49.9425943Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-26T22:16:49.9426320Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-26T22:16:49.9426655Z  --job-id "${JOB_ID}" \ 2025-08-26T22:16:49.9426951Z  --job-name "${JOB_NAME}" 2025-08-26T22:16:49.9433956Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:16:49.9434351Z env: 2025-08-26T22:16:49.9434579Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:49.9435044Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:49.9435566Z DEVICE_NAME: 2025-08-26T22:16:49.9435799Z DEVICE_TYPE: 2025-08-26T22:16:49.9436036Z SCHEMA_VERSION: v3 2025-08-26T22:16:49.9436282Z REPO: pytorch/pytorch 2025-08-26T22:16:49.9436553Z HEAD_BRANCH: refs/heads/main 2025-08-26T22:16:49.9436878Z HEAD_SHA: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T22:16:49.9437229Z WORKFLOW_RUN_ID: 17248463620 2025-08-26T22:16:49.9437495Z RUN_ATTEMPT: 1 2025-08-26T22:16:49.9437729Z JOB_ID: 48944862581 2025-08-26T22:16:49.9438132Z JOB_NAME: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge) 2025-08-26T22:16:49.9438602Z ##[endgroup] 2025-08-26T22:16:49.9466019Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 262640fd220236042fbf4443cc163c8838c84c3d --workflow-id 17248463620 --run-attempt 1 --job-id 48944862581 --job-name 'linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge)' 2025-08-26T22:16:49.9786683Z ##[group]Run set -eux 2025-08-26T22:16:49.9786955Z set -eux 2025-08-26T22:16:49.9787184Z  2025-08-26T22:16:49.9787570Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-26T22:16:49.9793054Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:16:49.9793546Z env: 2025-08-26T22:16:49.9793771Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:49.9794341Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:49.9794837Z DEVICE_NAME: 2025-08-26T22:16:49.9795069Z DEVICE_TYPE: 2025-08-26T22:16:49.9795296Z ##[endgroup] 2025-08-26T22:16:49.9817241Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-26T22:16:50.0210146Z INFO:root:Fail to import torch to get the device name 2025-08-26T22:16:50.0312707Z ##[group]Run set -eux 2025-08-26T22:16:50.0312982Z set -eux 2025-08-26T22:16:50.0313308Z  2025-08-26T22:16:50.0313550Z # TODO (huydhn): Implement this part 2025-08-26T22:16:50.0313948Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-26T22:16:50.0319340Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:16:50.0319732Z env: 2025-08-26T22:16:50.0319946Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:50.0320431Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:50.0320948Z DEVICE_NAME: 2025-08-26T22:16:50.0321180Z DEVICE_TYPE: 2025-08-26T22:16:50.0321409Z ##[endgroup] 2025-08-26T22:16:50.0343163Z + echo 'dependencies={}' 2025-08-26T22:16:50.0372007Z ##[group]Run set -eux 2025-08-26T22:16:50.0372299Z set -eux 2025-08-26T22:16:50.0372537Z  2025-08-26T22:16:50.0372878Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-26T22:16:50.0373334Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-26T22:16:50.0373831Z  # We don't want the job to fail if the directory doesn't exist 2025-08-26T22:16:50.0374238Z  exit 0 2025-08-26T22:16:50.0374464Z fi 2025-08-26T22:16:50.0374678Z  2025-08-26T22:16:50.0374903Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-26T22:16:50.0375393Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-26T22:16:50.0375972Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-26T22:16:50.0376409Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-26T22:16:50.0376780Z  --runners "${RUNNER_INFO}" \ 2025-08-26T22:16:50.0377123Z  --dependencies "${DEPENDENCIES}" \ 2025-08-26T22:16:50.0377460Z  --dry-run 2025-08-26T22:16:50.0377715Z else 2025-08-26T22:16:50.0378104Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-26T22:16:50.0378658Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-26T22:16:50.0379092Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-26T22:16:50.0379452Z  --runners "${RUNNER_INFO}" \ 2025-08-26T22:16:50.0379804Z  --dependencies "${DEPENDENCIES}" 2025-08-26T22:16:50.0380133Z fi 2025-08-26T22:16:50.0385218Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:16:50.0385621Z env: 2025-08-26T22:16:50.0385848Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:50.0386312Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:50.0386840Z DEVICE_NAME: 2025-08-26T22:16:50.0387077Z DEVICE_TYPE: 2025-08-26T22:16:50.0387342Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-26T22:16:50.0387660Z DRY_RUN: false 2025-08-26T22:16:50.0388975Z BENCHMARK_METADATA: {"timestamp": 1756246609, "schema_version": "v3", "name": "linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463620, "run_attempt": 1, "job_id": 48944862581} 2025-08-26T22:16:50.0390712Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-1-2-235.ec2.internal"}, "name": "", "type": ""}] 2025-08-26T22:16:50.0391374Z DEPENDENCIES: {} 2025-08-26T22:16:50.0391703Z ##[endgroup] 2025-08-26T22:16:50.0412694Z + [[ ! -d test/test-reports ]] 2025-08-26T22:16:50.0413232Z + [[ false == \t\r\u\e ]] 2025-08-26T22:16:50.0416408Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1756246609, "schema_version": "v3", "name": "linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463620, "run_attempt": 1, "job_id": 48944862581}' --runners '[{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-1-2-235.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-26T22:16:50.2456992Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'lazy/test_ts_opinfo'}], 'excluded': []} from test/test-reports/td_exclusions-f2c8e638f4d07ecaa4cb.json is not a benchmark record, skipping 2025-08-26T22:16:50.2459061Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-26T22:16:50.2538852Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'dynamo/cpython/3_13/test_sort'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'test_autograd'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'test_type_hints'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_jit'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'test_overrides'}, {'test_file': 'test_content_store'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_reductions'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'test_nn'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'test_indexing'}, {'test_file': 'test_type_promotion'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'doctests'}, {'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'dynamo/cpython/3_13/test_generator_stop'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'dynamo/cpython/3_13/test_exception_variations'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'dynamo/cpython/3_13/test_int_literal'}, {'test_file': 'dynamo/cpython/3_13/test_itertools'}, {'test_file': 'dynamo/cpython/3_13/test_contextlib'}, {'test_file': 'dynamo/cpython/3_13/test_numeric_tower'}, {'test_file': 'dynamo/cpython/3_13/test_ordered_dict'}, {'test_file': 'dynamo/cpython/3_13/test_with'}, {'test_file': 'dynamo/cpython/3_13/test_baseexception'}, {'test_file': 'dynamo/cpython/3_13/test_exceptions'}, {'test_file': 'dynamo/cpython/3_13/test_raise'}, {'test_file': 'dynamo/cpython/3_13/test_userlist'}, {'test_file': 'dynamo/cpython/3_13/test_generators'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'dynamo/cpython/3_13/test_int'}, {'test_file': 'dynamo/cpython/3_13/test_userdict'}, {'test_file': 'dynamo/cpython/3_13/test_defaultdict'}, {'test_file': 'dynamo/cpython/3_13/test_collections'}, {'test_file': 'dynamo/cpython/3_13/test_heapq'}, {'test_file': 'dynamo/cpython/3_13/test_cmath'}, {'test_file': 'dynamo/cpython/3_13/test_operator'}, {'test_file': 'dynamo/cpython/3_13/test_set'}, {'test_file': 'dynamo/cpython/3_13/test_math'}, {'test_file': 'dynamo/cpython/3_13/test_iter'}, {'test_file': 'dynamo/cpython/3_13/test_sys'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'dynamo/cpython/3_13/test_bool'}, {'test_file': 'dynamo/cpython/3_13/test_list'}, {'test_file': 'dynamo/cpython/3_13/test_float'}, {'test_file': 'dynamo/cpython/3_13/test_tuple'}, {'test_file': 'dynamo/cpython/3_13/test_dict'}, {'test_file': 'dynamo/cpython/3_13/test_complex'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'inductor/test_move_constructors_to_cuda'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'export/test_serdes'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'export/test_export_with_inline_and_install'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'dynamo/cpython/3_13/test_unittest/test_assertions'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'export/test_tools'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 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'test_set_default_mobile_cpu_allocator'}, {'test_file': 'test_meta'}, {'test_file': 'test_stateless'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_logging'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_subclass'}, {'test_file': 'test_itt'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'test_masked'}, {'test_file': 'test_monitor'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_autocast'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_import_stats'}, {'test_file': 'test_tensorboard'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'test_public_bindings'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_functional_optim'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'test_futures'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_linalg'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'optim/test_optim'}, {'test_file': 'test_native_mha'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_vulkan'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_shape_ops'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_type_info'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'test_serialization'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_view_ops'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_mkldnn'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'nn/test_init'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'test_accelerator'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_function_schema'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'test_sparse'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_quantization'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_prims'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-70d0e2b7c6549abd4647.json is not a benchmark record, skipping 2025-08-26T22:16:50.2617555Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-26T22:16:50.2619237Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/test_api'}], 'excluded': []} from test/test-reports/td_exclusions-4d00e9d62165d7e95a43.json is not a benchmark record, skipping 2025-08-26T22:16:50.2620871Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-26T22:16:50.2622556Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/static_runtime_test'}], 'excluded': []} from test/test-reports/td_exclusions-e01fdb9d30451aaf77d7.json is not a benchmark record, skipping 2025-08-26T22:16:50.2624322Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-26T22:16:50.2628314Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/Dict_test'}, {'test_file': 'cpp/Dimname_test'}, {'test_file': 'cpp/NamedTensor_test'}, {'test_file': 'cpp/apply_utils_test'}, {'test_file': 'cpp/atest'}, {'test_file': 'cpp/basic'}, {'test_file': 'cpp/broadcast_test'}, {'test_file': 'cpp/cpu_generator_test'}, {'test_file': 'cpp/dlconvertor_test'}, {'test_file': 'cpp/extension_backend_test'}, {'test_file': 'cpp/lazy_tensor_test'}, {'test_file': 'cpp/legacy_vmap_test'}, {'test_file': 'cpp/native_test'}, {'test_file': 'cpp/operators_test'}, {'test_file': 'cpp/scalar_tensor_test'}, {'test_file': 'cpp/scalar_test'}, {'test_file': 'cpp/tensor_iterator_test'}, {'test_file': 'cpp/undefined_tensor_test'}, {'test_file': 'cpp/wrapdim_test'}], 'excluded': []} from test/test-reports/td_exclusions-d6a3cd6444349e6dbbc8.json is not a benchmark record, skipping 2025-08-26T22:16:50.2632254Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-26T22:16:50.2716284Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-26T22:16:50.2716701Z cat test/**/*_toprint.log || true 2025-08-26T22:16:50.2722203Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:16:50.2722603Z env: 2025-08-26T22:16:50.2722833Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:50.2723313Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:50.2723816Z DEVICE_NAME: 2025-08-26T22:16:50.2724067Z DEVICE_TYPE: 2025-08-26T22:16:50.2724300Z ##[endgroup] 2025-08-26T22:16:50.2806705Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-26T22:16:50.2842261Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-26T22:16:50.2842637Z kill "$MONITOR_SCRIPT_PID" 2025-08-26T22:16:50.2847940Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:16:50.2848336Z env: 2025-08-26T22:16:50.2848575Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:50.2849054Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:50.2849555Z DEVICE_NAME: 2025-08-26T22:16:50.2849791Z DEVICE_TYPE: 2025-08-26T22:16:50.2850038Z MONITOR_SCRIPT_PID: 41505 2025-08-26T22:16:50.2850312Z ##[endgroup] 2025-08-26T22:16:50.2994937Z Prepare all required actions 2025-08-26T22:16:50.2995375Z Getting action download info 2025-08-26T22:16:50.4886040Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-26T22:16:50.7304513Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-26T22:16:51.1631534Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-26T22:16:51.1631913Z with: 2025-08-26T22:16:51.1632237Z file-suffix: test-crossref-1-2-lf.linux.2xlarge_48944862581 2025-08-26T22:16:51.1632660Z s3-bucket: gha-artifacts 2025-08-26T22:16:51.1632932Z env: 2025-08-26T22:16:51.1633259Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:51.1633735Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:51.1634258Z DEVICE_NAME: 2025-08-26T22:16:51.1634483Z DEVICE_TYPE: 2025-08-26T22:16:51.1634715Z ##[endgroup] 2025-08-26T22:16:51.1663231Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-26T22:16:51.1663715Z # Remove any previous test jsons if they exist 2025-08-26T22:16:51.1664109Z rm -f test-jsons-*.zip 2025-08-26T22:16:51.1664620Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-26T22:16:51.1670306Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:16:51.1670701Z env: 2025-08-26T22:16:51.1670929Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:51.1671395Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:51.1671964Z DEVICE_NAME: 2025-08-26T22:16:51.1672217Z DEVICE_TYPE: 2025-08-26T22:16:51.1672552Z FILE_SUFFIX: test-crossref-1-2-lf.linux.2xlarge_48944862581 2025-08-26T22:16:51.1672938Z ##[endgroup] 2025-08-26T22:16:51.1831662Z adding: test/test-reports/td_exclusions-f2c8e638f4d07ecaa4cb.json (deflated 16%) 2025-08-26T22:16:51.1836016Z adding: test/test-reports/td_exclusions-70d0e2b7c6549abd4647.json (deflated 82%) 2025-08-26T22:16:51.1836692Z adding: test/test-reports/td_exclusions-4d00e9d62165d7e95a43.json (deflated 18%) 2025-08-26T22:16:51.1837360Z adding: test/test-reports/td_exclusions-e01fdb9d30451aaf77d7.json (deflated 14%) 2025-08-26T22:16:51.1838038Z adding: test/test-reports/td_exclusions-d6a3cd6444349e6dbbc8.json (deflated 73%) 2025-08-26T22:16:51.1863899Z ##[group]Run # Remove any previous test reports if they exist 2025-08-26T22:16:51.1864391Z # Remove any previous test reports if they exist 2025-08-26T22:16:51.1864789Z rm -f test-reports-*.zip 2025-08-26T22:16:51.1865281Z zip -r 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test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20250826201540.xml (deflated 43%) 2025-08-26T22:16:51.3998604Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-26T22:16:51.3999079Z # Remove any previous usage logs if they exist 2025-08-26T22:16:51.3999464Z rm -f logs-*.zip 2025-08-26T22:16:51.3999825Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-26T22:16:51.4000351Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-26T22:16:51.4005969Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:16:51.4006360Z env: 2025-08-26T22:16:51.4006577Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:51.4007186Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:51.4007704Z DEVICE_NAME: 2025-08-26T22:16:51.4007940Z DEVICE_TYPE: 2025-08-26T22:16:51.4008260Z FILE_SUFFIX: test-crossref-1-2-lf.linux.2xlarge_48944862581 2025-08-26T22:16:51.4008669Z 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test/test-reports/test_unary_ufuncs_1.1_1f3f54820b6ec433_.log (deflated 96%) 2025-08-26T22:16:51.7095892Z adding: test/test-reports/test_quantization_4.4_f9946061dffef53a_.log (deflated 86%) 2025-08-26T22:16:51.7110345Z adding: test/test-reports/test_quantization_3.4_d09452a7389d10ef_.log (deflated 87%) 2025-08-26T22:16:51.7124806Z adding: test/test-reports/test_quantization_1.4_3e427adecdc8175d_.log (deflated 86%) 2025-08-26T22:16:51.7126101Z adding: test/test-reports/cpp.Dict_test_1.1_d6329446f89c0e9c_.log (deflated 73%) 2025-08-26T22:16:51.7127349Z adding: test/test-reports/cpp.Dimname_test_1.1_0384323541cd0087_.log (deflated 73%) 2025-08-26T22:16:51.7128684Z adding: test/test-reports/cpp.NamedTensor_test_1.1_b356d51771dad5d5_.log (deflated 73%) 2025-08-26T22:16:51.7130046Z adding: test/test-reports/cpp.apply_utils_test_1.1_21488ad6d9a928db_.log (deflated 73%) 2025-08-26T22:16:51.7131336Z adding: test/test-reports/cpp.atest_1.1_edc038d0b1b58db6_.log (deflated 73%) 2025-08-26T22:16:51.7132530Z adding: test/test-reports/cpp.basic_1.1_e20cde7cdda29039_.log (deflated 73%) 2025-08-26T22:16:51.7133782Z adding: test/test-reports/cpp.broadcast_test_1.1_29270623fc0a5820_.log (deflated 73%) 2025-08-26T22:16:51.7135150Z adding: test/test-reports/cpp.cpu_generator_test_1.1_d80f92f58fe241cc_.log (deflated 73%) 2025-08-26T22:16:51.7136551Z adding: test/test-reports/cpp.dlconvertor_test_1.1_e3b41fed12b4f3e6_.log (deflated 73%) 2025-08-26T22:16:51.7137978Z adding: test/test-reports/cpp.extension_backend_test_1.1_f92965505ebe413a_.log (deflated 73%) 2025-08-26T22:16:51.7139389Z adding: test/test-reports/cpp.lazy_tensor_test_1.1_f5cf26c6466b2353_.log (deflated 73%) 2025-08-26T22:16:51.7140873Z adding: test/test-reports/cpp.legacy_vmap_test_1.1_7312c0648e432fb6_.log (deflated 73%) 2025-08-26T22:16:51.7142088Z adding: test/test-reports/cpp.native_test_1.1_f3bdd2c502cd0e0f_.log (deflated 73%) 2025-08-26T22:16:51.7143297Z adding: test/test-reports/cpp.operators_test_1.1_9778d78dce505a7a_.log (deflated 73%) 2025-08-26T22:16:51.7144390Z adding: test/test-reports/cpp.scalar_tensor_test_1.1_95464dbac28c9715_.log (deflated 73%) 2025-08-26T22:16:51.7145686Z adding: test/test-reports/cpp.scalar_test_1.1_ece86aee84fb1c9d_.log (deflated 73%) 2025-08-26T22:16:51.7146826Z adding: test/test-reports/cpp.tensor_iterator_test_1.1_aeedc4cab3d39a6e_.log (deflated 73%) 2025-08-26T22:16:51.7148154Z adding: test/test-reports/cpp.undefined_tensor_test_1.1_8c49cd3d9a02d713_.log (deflated 73%) 2025-08-26T22:16:51.7149049Z adding: test/test-reports/cpp.wrapdim_test_1.1_4315e14aa272e98f_.log (deflated 73%) 2025-08-26T22:16:51.7149731Z adding: test/test-reports/cpp.native_test_1.1_b95db696e368e54e_.log (deflated 72%) 2025-08-26T22:16:51.7150431Z adding: test/test-reports/cpp.wrapdim_test_1.1_192a8260565f1871_.log (deflated 72%) 2025-08-26T22:16:51.7192993Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-26T22:16:51.7193800Z # Remove any previous debugging artifacts if they exist 2025-08-26T22:16:51.7194216Z rm -f debug-*.zip 2025-08-26T22:16:51.7194508Z if [ -d 'test/debug' ]; then 2025-08-26T22:16:51.7194861Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-26T22:16:51.7195216Z fi 2025-08-26T22:16:51.7200659Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:16:51.7201047Z env: 2025-08-26T22:16:51.7201264Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:51.7201739Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:51.7202259Z DEVICE_NAME: 2025-08-26T22:16:51.7202496Z DEVICE_TYPE: 2025-08-26T22:16:51.7202817Z FILE_SUFFIX: test-crossref-1-2-lf.linux.2xlarge_48944862581 2025-08-26T22:16:51.7203216Z ##[endgroup] 2025-08-26T22:16:51.7331429Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-26T22:16:51.7331786Z with: 2025-08-26T22:16:51.7332004Z s3-bucket: gha-artifacts 2025-08-26T22:16:51.7332349Z s3-prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:16:51.7332708Z retention-days: 14 2025-08-26T22:16:51.7332966Z if-no-files-found: warn 2025-08-26T22:16:51.7333229Z path: test-jsons-*.zip 2025-08-26T22:16:51.7333490Z name: artifact 2025-08-26T22:16:51.7333818Z region: us-east-1 2025-08-26T22:16:51.7334051Z env: 2025-08-26T22:16:51.7334258Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:51.7334731Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:51.7335240Z DEVICE_NAME: 2025-08-26T22:16:51.7335468Z DEVICE_TYPE: 2025-08-26T22:16:51.7335684Z ##[endgroup] 2025-08-26T22:16:52.1225928Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-26T22:16:52.1226474Z With the provided path, there will be 1 file uploaded 2025-08-26T22:16:52.1226943Z Uploading to s3 prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:16:52.1381690Z Starting upload of test-jsons-test-crossref-1-2-lf.linux.2xlarge_48944862581.zip 2025-08-26T22:16:52.2680536Z Finished upload of test-jsons-test-crossref-1-2-lf.linux.2xlarge_48944862581.zip 2025-08-26T22:16:52.2906694Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-26T22:16:52.2907045Z with: 2025-08-26T22:16:52.2907260Z s3-bucket: gha-artifacts 2025-08-26T22:16:52.2907606Z s3-prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:16:52.2907970Z retention-days: 14 2025-08-26T22:16:52.2908229Z if-no-files-found: error 2025-08-26T22:16:52.2908534Z path: test-reports-*.zip 2025-08-26T22:16:52.2908802Z name: artifact 2025-08-26T22:16:52.2909036Z region: us-east-1 2025-08-26T22:16:52.2909256Z env: 2025-08-26T22:16:52.2909478Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:52.2910060Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:52.2910605Z DEVICE_NAME: 2025-08-26T22:16:52.2910915Z DEVICE_TYPE: 2025-08-26T22:16:52.2911130Z ##[endgroup] 2025-08-26T22:16:52.6590973Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-26T22:16:52.6591469Z With the provided path, there will be 1 file uploaded 2025-08-26T22:16:52.6591931Z Uploading to s3 prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:16:52.6630772Z Starting upload of test-reports-test-crossref-1-2-lf.linux.2xlarge_48944862581.zip 2025-08-26T22:16:52.8634309Z Finished upload of test-reports-test-crossref-1-2-lf.linux.2xlarge_48944862581.zip 2025-08-26T22:16:52.8825797Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-26T22:16:52.8826156Z with: 2025-08-26T22:16:52.8826394Z s3-bucket: gha-artifacts 2025-08-26T22:16:52.8826732Z s3-prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:16:52.8827084Z retention-days: 14 2025-08-26T22:16:52.8827373Z if-no-files-found: ignore 2025-08-26T22:16:52.8827655Z path: logs-*.zip 2025-08-26T22:16:52.8827901Z name: artifact 2025-08-26T22:16:52.8828126Z region: us-east-1 2025-08-26T22:16:52.8828365Z env: 2025-08-26T22:16:52.8828585Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:52.8829223Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:52.8829723Z DEVICE_NAME: 2025-08-26T22:16:52.8829956Z DEVICE_TYPE: 2025-08-26T22:16:52.8830188Z ##[endgroup] 2025-08-26T22:16:53.2052684Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-26T22:16:53.2053490Z With the provided path, there will be 1 file uploaded 2025-08-26T22:16:53.2054342Z Uploading to s3 prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:16:53.2094805Z Starting upload of logs-test-crossref-1-2-lf.linux.2xlarge_48944862581.zip 2025-08-26T22:16:53.3613423Z Finished upload of logs-test-crossref-1-2-lf.linux.2xlarge_48944862581.zip 2025-08-26T22:16:53.3844673Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-26T22:16:53.3845030Z with: 2025-08-26T22:16:53.3845254Z s3-bucket: gha-artifacts 2025-08-26T22:16:53.3845585Z s3-prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:16:53.3845945Z retention-days: 14 2025-08-26T22:16:53.3846210Z if-no-files-found: ignore 2025-08-26T22:16:53.3846493Z path: debug-*.zip 2025-08-26T22:16:53.3846752Z name: artifact 2025-08-26T22:16:53.3847023Z region: us-east-1 2025-08-26T22:16:53.3847241Z env: 2025-08-26T22:16:53.3847454Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:53.3848059Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:53.3848590Z DEVICE_NAME: 2025-08-26T22:16:53.3848821Z DEVICE_TYPE: 2025-08-26T22:16:53.3849037Z ##[endgroup] 2025-08-26T22:16:53.7040620Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-26T22:16:53.7227744Z ##[group]Run # shellcheck disable=SC2156 2025-08-26T22:16:53.7228158Z # shellcheck disable=SC2156 2025-08-26T22:16:53.7228749Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-26T22:16:53.7235614Z shell: /usr/bin/bash -e {0} 2025-08-26T22:16:53.7235895Z env: 2025-08-26T22:16:53.7236118Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:53.7236594Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:53.7237103Z DEVICE_NAME: 2025-08-26T22:16:53.7237338Z DEVICE_TYPE: 2025-08-26T22:16:53.7237576Z ##[endgroup] 2025-08-26T22:16:54.0098120Z Prepare all required actions 2025-08-26T22:16:54.0098798Z Getting action download info 2025-08-26T22:16:54.1281808Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-26T22:16:54.1282444Z with: 2025-08-26T22:16:54.1282784Z job_id: 48944862581 2025-08-26T22:16:54.1283497Z job_name: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge) 2025-08-26T22:16:54.1284304Z workflow_name: pull 2025-08-26T22:16:54.1284910Z workflow_run_id: 17248463620 2025-08-26T22:16:54.1285364Z workflow_attempt: 1 2025-08-26T22:16:54.1285751Z env: 2025-08-26T22:16:54.1286104Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:54.1286903Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:54.1287773Z DEVICE_NAME: 2025-08-26T22:16:54.1288169Z DEVICE_TYPE: 2025-08-26T22:16:54.1288534Z ##[endgroup] 2025-08-26T22:16:54.1324760Z ##[group]Run echo "workflow_id: 17248463620" 2025-08-26T22:16:54.1325183Z echo "workflow_id: 17248463620" 2025-08-26T22:16:54.1325515Z echo "workflow_attempt: 1" 2025-08-26T22:16:54.1325839Z echo "workflow_Name: pull" 2025-08-26T22:16:54.1326149Z echo "job_id: 48944862581" 2025-08-26T22:16:54.1326660Z echo "job_name: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge)" 2025-08-26T22:16:54.1327186Z echo "artifact_prefix: " 2025-08-26T22:16:54.1327508Z python3 --version 2025-08-26T22:16:54.1333001Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:16:54.1333389Z env: 2025-08-26T22:16:54.1333602Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:54.1334071Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:54.1334582Z DEVICE_NAME: 2025-08-26T22:16:54.1334813Z DEVICE_TYPE: 2025-08-26T22:16:54.1335030Z ##[endgroup] 2025-08-26T22:16:54.1357633Z workflow_id: 17248463620 2025-08-26T22:16:54.1357911Z workflow_attempt: 1 2025-08-26T22:16:54.1358181Z workflow_Name: pull 2025-08-26T22:16:54.1358420Z job_id: 48944862581 2025-08-26T22:16:54.1358826Z job_name: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge) 2025-08-26T22:16:54.1359286Z artifact_prefix: 2025-08-26T22:16:54.1369268Z Python 3.9.23 2025-08-26T22:16:54.1410574Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-26T22:16:54.1410879Z with: 2025-08-26T22:16:54.1411095Z shell: bash 2025-08-26T22:16:54.1411335Z timeout_minutes: 5 2025-08-26T22:16:54.1411583Z max_attempts: 5 2025-08-26T22:16:54.1411843Z retry_wait_seconds: 30 2025-08-26T22:16:54.1412403Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-08-26T22:16:54.1413016Z polling_interval_seconds: 1 2025-08-26T22:16:54.1413310Z warning_on_retry: true 2025-08-26T22:16:54.1413578Z continue_on_error: false 2025-08-26T22:16:54.1413824Z env: 2025-08-26T22:16:54.1414038Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:16:54.1414512Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:16:54.1415115Z DEVICE_NAME: 2025-08-26T22:16:54.1415333Z DEVICE_TYPE: 2025-08-26T22:16:54.1415566Z ##[endgroup] 2025-08-26T22:16:54.4755500Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T22:16:54.5497330Z Collecting python-dateutil==2.8.2 2025-08-26T22:16:54.5659399Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-26T22:16:55.5415663Z Collecting boto3==1.35.42 2025-08-26T22:16:55.5455776Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-26T22:16:56.0606254Z Collecting pandas==2.1.3 2025-08-26T22:16:56.0661234Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-26T22:16:56.2161254Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-26T22:16:56.2179036Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-26T22:16:56.2224710Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4) 2025-08-26T22:16:56.2230157Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99) 2025-08-26T22:16:56.2234210Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-08-26T22:16:57.1047064Z Collecting numpy<2,>=1.22.4 2025-08-26T22:16:57.1097868Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-26T22:16:57.2940968Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-26T22:16:57.3241722Z Collecting tzdata>=2022.1 2025-08-26T22:16:57.3280583Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-26T22:16:57.3415459Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-08-26T22:16:57.3419512Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-08-26T22:16:57.3478513Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-08-26T22:16:57.3598177Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-08-26T22:16:57.3700640Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-08-26T22:16:57.3704674Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-08-26T22:16:57.5334770Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-26T22:17:02.4748177Z Attempting uninstall: boto3 2025-08-26T22:17:02.4748707Z Found existing installation: boto3 1.35.33 2025-08-26T22:17:02.4847590Z Uninstalling boto3-1.35.33: 2025-08-26T22:17:02.4860766Z Successfully uninstalled boto3-1.35.33 2025-08-26T22:17:02.5397911Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-26T22:17:03.2242710Z Command completed after 1 attempt(s). 2025-08-26T22:17:03.2296318Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-26T22:17:03.2297054Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-26T22:17:03.2297579Z  --workflow-run-id "17248463620" \ 2025-08-26T22:17:03.2297945Z  --workflow-name "pull" \ 2025-08-26T22:17:03.2298387Z  --workflow-run-attempt "1" \ 2025-08-26T22:17:03.2298718Z  --job-id "48944862581" \ 2025-08-26T22:17:03.2299221Z  --job-name "linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge)" \ 2025-08-26T22:17:03.2299735Z  --local-path "" \ 2025-08-26T22:17:03.2300038Z  --artifact-prefix "" 2025-08-26T22:17:03.2306122Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:17:03.2306531Z env: 2025-08-26T22:17:03.2306760Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:17:03.2307219Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:17:03.2307730Z DEVICE_NAME: 2025-08-26T22:17:03.2307967Z DEVICE_TYPE: 2025-08-26T22:17:03.2308193Z ##[endgroup] 2025-08-26T22:17:05.7849927Z repo: pytorch/pytorch 2025-08-26T22:17:05.7850328Z Search for test log in s3 bucket: ossci-utilization 2025-08-26T22:17:05.7851194Z Downloading logs-test-crossref-1-2-lf.linux.2xlarge_48944862581.zip 2025-08-26T22:17:05.7851884Z extracting usage_log.txt from zip file logs-test-crossref-1-2-lf.linux.2xlarge_48944862581.zip 2025-08-26T22:17:05.7852462Z Converted Log Model: UtilizationMetadata: 2025-08-26T22:17:05.7853846Z UtilizationMetadata(level='metadata', workflow_id='17248463620', job_id='48944862581', workflow_name='pull', job_name='linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1756237692, gpu_count=0, cpu_count=8, gpu_type=None, error=None) 2025-08-26T22:17:05.7855728Z [Db Segments] detected pytest cmd: 18, generated segments: 18 2025-08-26T22:17:05.7856133Z [db model] Peek db timeseries 2025-08-26T22:17:05.7856414Z :{ 2025-08-26T22:17:05.7856627Z "created_at": 1756246625, 2025-08-26T22:17:05.7856917Z "type": "utilization", 2025-08-26T22:17:05.7857172Z "tags": [ 2025-08-26T22:17:05.7857388Z "record" 2025-08-26T22:17:05.7857605Z ], 2025-08-26T22:17:05.7857826Z "time_stamp": 1756237692, 2025-08-26T22:17:05.7858102Z "repo": "pytorch/pytorch", 2025-08-26T22:17:05.7858388Z "workflow_id": 17248463620, 2025-08-26T22:17:05.7858665Z "run_attempt": 1, 2025-08-26T22:17:05.7858914Z "job_id": 48944862581, 2025-08-26T22:17:05.7859168Z "workflow_name": "pull", 2025-08-26T22:17:05.7859611Z "job_name": "linux-jammy-py3.13-clang12 / test (crossref, 1, 2, lf.linux.2xlarge)", 2025-08-26T22:17:05.7860091Z "json_data": "{}" 2025-08-26T22:17:05.7860331Z } 2025-08-26T22:17:05.7860828Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463620/1/48944862581/metadata 2025-08-26T22:17:05.7861783Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463620/1/48944862581/metadata 2025-08-26T22:17:05.7862777Z Writing 1780 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463620/1/48944862581/time_series 2025-08-26T22:17:05.7863794Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463620/1/48944862581/time_series 2025-08-26T22:17:05.8946068Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-26T22:17:05.8946525Z with: 2025-08-26T22:17:05.8946737Z env: 2025-08-26T22:17:05.8946959Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:17:05.8947440Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:17:05.8947948Z DEVICE_NAME: 2025-08-26T22:17:05.8948186Z DEVICE_TYPE: 2025-08-26T22:17:05.8948414Z ##[endgroup] 2025-08-26T22:17:05.8968643Z ##[group]Run set -eou pipefail 2025-08-26T22:17:05.8968975Z set -eou pipefail 2025-08-26T22:17:05.8969255Z  2025-08-26T22:17:05.8969631Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-26T22:17:05.8970100Z for _ in $(seq 1440); do 2025-08-26T22:17:05.8970444Z  # Break if no ssh session exists anymore 2025-08-26T22:17:05.8970895Z  if [ "$(who)" = "" ]; then 2025-08-26T22:17:05.8971205Z  break 2025-08-26T22:17:05.8971483Z  fi 2025-08-26T22:17:05.8971717Z  echo "." 2025-08-26T22:17:05.8971955Z  sleep 5 2025-08-26T22:17:05.8972197Z done 2025-08-26T22:17:05.8977693Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:17:05.8978085Z env: 2025-08-26T22:17:05.8978300Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:17:05.8978772Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:17:05.8979281Z DEVICE_NAME: 2025-08-26T22:17:05.8979513Z DEVICE_TYPE: 2025-08-26T22:17:05.8979730Z ##[endgroup] 2025-08-26T22:17:05.9002202Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-26T22:17:05.9076474Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T22:17:05.9077150Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T22:17:05.9077610Z # shellcheck disable=SC2046 2025-08-26T22:17:05.9077974Z docker stop $(docker ps -q) || true 2025-08-26T22:17:05.9078319Z # Prune all of the docker images 2025-08-26T22:17:05.9078658Z docker system prune -af 2025-08-26T22:17:05.9083952Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:17:05.9084342Z env: 2025-08-26T22:17:05.9084554Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:17:05.9085122Z DOCKER_CONTAINER_ID: 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:17:05.9085635Z DEVICE_NAME: 2025-08-26T22:17:05.9085869Z DEVICE_TYPE: 2025-08-26T22:17:05.9086097Z ##[endgroup] 2025-08-26T22:17:17.1315531Z 302568cc1362 2025-08-26T22:17:17.9133297Z Deleted Containers: 2025-08-26T22:17:17.9133847Z 302568cc136251c94fa0345c11d30c88dda53f920e8ea1c8b12ca4eb8afe82a8 2025-08-26T22:17:17.9134212Z 2025-08-26T22:17:24.9030674Z Deleted Images: 2025-08-26T22:17:24.9031782Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 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2025-08-26T22:17:25.6938222Z http.https://github.com/.extraheader 2025-08-26T22:17:25.6974588Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T22:17:25.7008138Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7048848Z Entering 'third_party/flatbuffers' 2025-08-26T22:17:25.7083711Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7117261Z Entering 'third_party/fmt' 2025-08-26T22:17:25.7151369Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7182220Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T22:17:25.7216228Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7247000Z Entering 'third_party/gloo' 2025-08-26T22:17:25.7283448Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7313824Z Entering 'third_party/googletest' 2025-08-26T22:17:25.7347149Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7378937Z Entering 'third_party/ideep' 2025-08-26T22:17:25.7412600Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7442588Z Entering 'third_party/ideep/mkl-dnn' 2025-08-26T22:17:25.7475462Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7513274Z Entering 'third_party/ittapi' 2025-08-26T22:17:25.7546804Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7578446Z Entering 'third_party/kineto' 2025-08-26T22:17:25.7612003Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7642587Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T22:17:25.7678223Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7709321Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T22:17:25.7743008Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7775486Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T22:17:25.7809232Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7840493Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T22:17:25.7874704Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7905453Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T22:17:25.7938968Z http.https://github.com/.extraheader 2025-08-26T22:17:25.7970274Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T22:17:25.8003679Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8036040Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T22:17:25.8069435Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8101074Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T22:17:25.8134391Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8166467Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T22:17:25.8199546Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8231457Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T22:17:25.8264983Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8297929Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T22:17:25.8332387Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8363690Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T22:17:25.8397656Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8431698Z Entering 'third_party/kleidiai' 2025-08-26T22:17:25.8466893Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8498884Z Entering 'third_party/mimalloc' 2025-08-26T22:17:25.8532533Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8563406Z Entering 'third_party/nlohmann' 2025-08-26T22:17:25.8597114Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8628927Z Entering 'third_party/onnx' 2025-08-26T22:17:25.8663127Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8711171Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T22:17:25.8746123Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8778992Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T22:17:25.8812948Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8846018Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T22:17:25.8879631Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8909878Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T22:17:25.8943070Z http.https://github.com/.extraheader 2025-08-26T22:17:25.8975501Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T22:17:25.9009032Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9039599Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T22:17:25.9073856Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9105394Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T22:17:25.9138038Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9168972Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T22:17:25.9202154Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9232512Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T22:17:25.9266432Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9297530Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T22:17:25.9330261Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9362379Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T22:17:25.9395971Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9427146Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T22:17:25.9460338Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9510773Z Entering 'third_party/pocketfft' 2025-08-26T22:17:25.9545109Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9576483Z Entering 'third_party/protobuf' 2025-08-26T22:17:25.9610008Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9644246Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T22:17:25.9677395Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9707193Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T22:17:25.9739753Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9772323Z Entering 'third_party/psimd' 2025-08-26T22:17:25.9806219Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9836157Z Entering 'third_party/pthreadpool' 2025-08-26T22:17:25.9870053Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9900212Z Entering 'third_party/pybind11' 2025-08-26T22:17:25.9933891Z http.https://github.com/.extraheader 2025-08-26T22:17:25.9965222Z Entering 'third_party/python-peachpy' 2025-08-26T22:17:25.9998903Z http.https://github.com/.extraheader 2025-08-26T22:17:26.0029211Z Entering 'third_party/sleef' 2025-08-26T22:17:26.0062893Z http.https://github.com/.extraheader 2025-08-26T22:17:26.0093878Z Entering 'third_party/tensorpipe' 2025-08-26T22:17:26.0128282Z http.https://github.com/.extraheader 2025-08-26T22:17:26.0160705Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T22:17:26.0194676Z http.https://github.com/.extraheader 2025-08-26T22:17:26.0224841Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T22:17:26.0258049Z http.https://github.com/.extraheader 2025-08-26T22:17:26.0287747Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T22:17:26.0320882Z http.https://github.com/.extraheader 2025-08-26T22:17:26.0350878Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T22:17:26.0384367Z http.https://github.com/.extraheader 2025-08-26T22:17:26.0414147Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T22:17:26.0447125Z http.https://github.com/.extraheader 2025-08-26T22:17:26.0561912Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-26T22:17:26.0586991Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-26T22:17:26.0592302Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:17:26.0592797Z ##[endgroup] 2025-08-26T22:17:35.3500462Z Cleaning up orphan processes